36 results on '"Mirabeau, O."'
Search Results
2. Transcriptional programs define intratumoral heterogeneity of Ewing sarcoma at single cell resolution
- Author
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Aynaud, M-M, primary, Mirabeau, O, additional, Gruel, N, additional, Grossetête, S, additional, Boeva, V, additional, Durand, S, additional, Surdez, D, additional, Saulnier, O, additional, Zaïdi, S, additional, Gribkova, S, additional, Kairov, U, additional, Raynal, V, additional, Tirode, F, additional, Grünewald, TGP, additional, Bohec, M, additional, Baulande, S, additional, Janoueix-Lerosey, I, additional, Vert, J-P, additional, Barillot, E, additional, Delattre, O, additional, and Zinovyev, A, additional
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- 2019
- Full Text
- View/download PDF
3. ETS Proteins Bind with Glucocorticoid Receptors: Relevance for Treatment of Ewing Sarcoma
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Srivastava, S., Nataraj, N. B., Sekar, A., Ghosh, S., Bornstein, C., Drago-Garcia, D., Roth, L., Romaniello, D., Marrocco, Ilaria, David, E., Gilad, Y., Lauriola, M., Rotkopf, R., Kimchi, A., Haga, Y., Tsutsumi, Y., Mirabeau, O., Surdez, D., Zinovyev, A., Delattre, O., Kovar, H., Amit, I., Yarden, Y., Marrocco I. (ORCID:0000-0002-8225-2177), Srivastava, S., Nataraj, N. B., Sekar, A., Ghosh, S., Bornstein, C., Drago-Garcia, D., Roth, L., Romaniello, D., Marrocco, Ilaria, David, E., Gilad, Y., Lauriola, M., Rotkopf, R., Kimchi, A., Haga, Y., Tsutsumi, Y., Mirabeau, O., Surdez, D., Zinovyev, A., Delattre, O., Kovar, H., Amit, I., Yarden, Y., and Marrocco I. (ORCID:0000-0002-8225-2177)
- Abstract
The glucocorticoid receptor (GR) acts as a ubiquitous cortisol-dependent transcription factor (TF). To identify co-factors, we used protein-fragment complementation assays and found that GR recognizes FLI1 and additional ETS family proteins, TFs relaying proliferation and/or migration signals. Following steroid-dependent translocation of FLI1 and GR to the nucleus, the FLI1-specific domain (FLS) binds with GR and strongly enhances GR's transcriptional activity. This interaction has functional consequences in Ewing sarcoma (ES), childhood and adolescence bone malignancies driven by fusions between EWSR1 and FLI1. In vitro, GR knockdown inhibited the migration and proliferation of ES cells, and in animal models, antagonizing GR (or lowering cortisol) retarded both tumor growth and metastasis from bone to lung. Taken together, our findings offer mechanistic rationale for repurposing GR-targeting drugs for the treatment of patients with ES.
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- 2019
4. Genome-wide association study identifies multiple new loci associated with Ewing sarcoma susceptibility
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Machiela, M.J. (Mitchell J.), Grünewald, T.G.P. (Thomas G. P.), Surdez, D. (Didier), Reynaud, S. (Stephanie), Mirabeau, O. (Olivier), Karlins, E. (Eric), Rubio, R.A. (Rebeca Alba), Zaidi, S. (Sakina), Grossetete-Lalami, S. (Sandrine), Ballet, S. (Stelly), Lapouble, E. (Eve), Laurence, V. (Valérie), Michon, J. (Jean), Pierron, G. (Gaelle), Kovar, H. (Heinrich), Gaspar, N. (Nathalie), Kontny, U. (Udo), Gonzalez-Neira, A. (Anna), Picci, P. (Piero), Alonso, J. (Javier), Patiño-García, A. (Ana), Corradini, N. (Nadege), Bérard, P.M. (Perrine Marec), Freedman, N.D. (Neal D.), Rothman, N. (Nathaniel), Dagnall, C. (Casey), Burdett, L. (Laurie), Jones, K. (Krisitine), Manning, M. (Michelle), Wyatt, K. (Kathleen), Zhou, W. (Weiyin), Yeager, M. (Meredith), Cox, D.G. (David G.), Hoover, R.N. (Robert N.), Khan, J. (Javed), Armstrong, G.T. (Gregory T.), Leisenring, W.M. (Wendy M.), Bhatia, S. (Smita), Robison, L.L. (Leslie L.), Kulozik, A. (Andreas E.), Kriebel, J. (Jennifer), Meitinger, T. (Thomas), Metzler, M. (Markus), Hartmann, W. (Wolfgang), Strauch, K. (Konstantin), Kirchner, T. (Thomas), Dirksen, U. (Uta), Morton, L.M. (Lindsay M.), Mirabello, L. (Lisa), Tucker, M. (Margaret), Tirode, F. (Franck), Chanock, S.J. (Stephen J.), and Delattre, O. (Olivier)
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Genome-wide association study ,Ewing sarcoma (EWS) ,Pediatric cancer - Abstract
Ewing sarcoma (EWS) is a pediatric cancer characterized by the EWSR1-FLI1 fusion. We performed a genome-wide association study of 733 EWS cases and 1346 unaffected individuals of European ancestry. Our study replicates previously reported susceptibility loci at 1p36.22, 10q21.3 and 15q15.1, and identifies new loci at 6p25.1, 20p11.22 and 20p11.23. Effect estimates exhibit odds ratios in excess of 1.7, which is high for cancer GWAS, and striking in light of the rarity of EWS cases in familial cancer syndromes. Expression quantitative trait locus (eQTL) analyses identify candidate genes at 6p25.1 (RREB1) and 20p11.23 (KIZ). The 20p11.22 locus is near NKX2-2, a highly overexpressed gene in EWS. Interestingly, most loci reside near GGAA repeat sequences and may disrupt binding of the EWSR1-FLI1 fusion protein. The high locus to case discovery ratio from 733 EWS cases suggests a genetic architecture in which moderate risk SNPs constitute a significant fraction of risk.
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- 2018
5. Two genomes of highly polyphagous lepidopteran pests (Spodoptera frugiperda, Noctuidae) with different host-plant ranges
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Gouin, A., Bretaudeau, A., Nam, K., Gimenez, S., Aury, J., Duvic, B., Hilliou, F., Durand, N., Montagné, N., Darboux, I., Kuwar, S., Chertemps, T., Siaussat, D., Bretschneider, A., Moné, Y., Ahn, S., Hänniger, S., Grenet, A., Neunemann, D., Maumus, F., Luyten, I., Labadie, K., Xu, W., Koutroumpa, F., Escoubas, J., Llopis, A., Maïbèche-Coisne, M., Salasc, F., Tomar, A., Anderson, A., Khan, S., Dumas, P., Orsucci, M., Guy, J., Belser, C., Alberti, A., Noel, B., Couloux, A., Mercier, J., Nidelet, S., Dubois, E., Liu, N., Boulogne, I., Mirabeau, O., Le Goff, G., Gordon, K., Oakeshott, J., Consoli, F., Volkoff, A., Fescemyer, H., Marden, J., Luthe, D., Herrero, S., Heckel, D., Wincker, P., Kergoat, G., Amselem, J., Quesneville, H., Groot, A., Jacquin-Joly, E., Nègre, N., Lemaitre, C., Legeai, F., and Fournier, E.
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fungi - Abstract
Emergence of polyphagous herbivorous insects entails significant adaptation to recognize, detoxify and digest a variety of host-plants. Despite of its biological and practical importance - since insects eat 20% of crops - no exhaustive analysis of gene repertoires required for adaptations in generalist insect herbivores has previously been performed. The noctuid moth Spodoptera frugiperda ranks as one of the world’s worst agricultural pests. This insect is polyphagous while the majority of other lepidopteran herbivores are specialist. It consists of two morphologically indistinguishable strains (“C” and “R”) that have different host plant ranges. To describe the evolutionary mechanisms that both enable the emergence of polyphagous herbivory and lead to the shift in the host preference, we analyzed whole genome sequences from laboratory and natural populations of both strains. We observed huge expansions of genes associated with chemosensation and detoxification compared with specialist Lepidoptera. These expansions are largely due to tandem duplication, a possible adaptation mechanism enabling polyphagy. Individuals from natural C and R populations show significant genomic differentiation. We found signatures of positive selection in genes involved in chemoreception, detoxification and digestion, and copy number variation in the two latter gene families, suggesting an adaptive role for structural variation.
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- 2017
6. Association between telomere length and risk of cancer and non-neoplastic diseases: A Mendelian randomization study
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Collaboration, Telomeres Mendelian Randomization, Haycock, P, Burgess, S, Nounu, A, Zheng, J, Okoli, G, Bowden, J, Wade, K, Timpson, N, Evans, D, Willeit, P, Aviv, A, Gaunt, T, Hemani, G, Mangino, M, Ellis, H, Kurian, K, Pooley, K, Eeles, R, Lee, J, Fang, S, Chen, W, Law, M, Bowdler, L, Iles, M, Yang, Q, Worrall, B, Markus, H, Hung, R, Amos, C, Spurdle, A, Thompson, D, O'Mara, T, Wolpin, B, Amundadottir, L, Stolzenberg-Solomon, R, Trichopoulou, A, Onland-Moret, N, Lund, E, Duell, E, Canzian, F, Severi, G, Overvad, K, Gunter, M, Tumino, R, Svenson, U, van Rij, A, Baas, A, Bown, M, Samani, N, van t'Hof, F, Tromp, G, Jones, G, Kuivaniemi, H, Elmore, J, Johansson, M, Mckay, J, Scelo, G, Carreras-Torres, R, Gaborieau, V, Brennan, P, Bracci, P, Neale, R, Olson, S, Gallinger, S, Li, D, Petersen, G, Risch, H, Klein, A, Han, J, Abnet, C, Freedman, N, Taylor, P, Maris, J, Aben, K, Kiemeney, L, Vermeulen, S, Wiencke, J, Walsh, K, Wrensch, M, Rice, T, Turnbull, C, Litchfield, K, Paternoster, L, Standl, M, Abecasis, G, SanGiovanni, J, Li, Y, Mijatovic, V, Sapkota, Y, Low, S, Zondervan, K, Montgomery, G, Nyholt, D, van Heel, D, Hunt, K, Arking, D, Ashar, F, Sotoodehnia, N, Woo, D, Rosand, J, Comeau, M, Brown, W, Silverman, E, Hokanson, J, Cho, M, Hui, J, Ferreira, M, Thompson, P, Morrison, A, Felix, J, Smith, N, Christiano, A, Petukhova, L, Betz, R, Fan, X, Zhang, X, Zhu, C, Langefeld, C, Thompson, S, Wang, F, Lin, X, Schwartz, D, Fingerlin, T, Rotter, J, Cotch, M, Jensen, R, Munz, M, Dommisch, H, Schaefer, A, Han, F, Ollila, H, Hillary, R, Albagha, O, Ralston, S, Zeng, C, Zheng, W, Shu, X, Reis, A, Uebe, S, Hüffmeier, U, Kawamura, Y, Otowa, T, Sasaki, T, Hibberd, M, Davila, S, Xie, G, Siminovitch, K, Bei, J, Zeng, Y, Försti, A, Chen, B, Landi, S, Franke, A, Fischer, A, Ellinghaus, D, Flores, C, Noth, I, Ma, S, Foo, J, Liu, J, Kim, J, Cox, D, Delattre, O, Mirabeau, O, Skibola, C, Tang, C, Garcia-Barcelo, M, Chang, K, Su, W, Chang, Y, Martin, N, Gordon, S, Wade, T, Lee, C, Kubo, M, Cha, P, Nakamura, Y, Levy, D, Kimura, M, Hwang, S, Hunt, S, Spector, T, Soranzo, N, Manichaikul, A, Barr, R, Kahali, B, Speliotes, E, Yerges-Armstrong, L, Cheng, C, Jonas, J, Wong, T, Fogh, I, Lin, K, Powell, J, Rice, K, Relton, C, Martin, R, Davey Smith, G, Erasmus MC other, Epidemiology, and Pediatrics
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0301 basic medicine ,Adult ,Male ,Cancer Research ,Single-nucleotide polymorphism ,Genome-wide association study ,Disease ,Bioinformatics ,Polymorphism, Single Nucleotide ,Risk Assessment ,Article ,03 medical and health sciences ,Telomere Homeostasis ,SDG 3 - Good Health and Well-being ,Neoplasms ,Mendelian randomization ,Journal Article ,medicine ,Humans ,Genetic Predisposition to Disease ,Càncer ,Germ-Line Mutation ,Aged ,Cancer ,Aged, 80 and over ,business.industry ,Nucleotides ,Odds ratio ,Mendelian Randomization Analysis ,Middle Aged ,Telomere ,medicine.disease ,Nucleòtids ,030104 developmental biology ,Stem cell division ,Oncology ,Cardiovascular Diseases ,Urological cancers Radboud Institute for Health Sciences [Radboudumc 15] ,Female ,ICEP ,business ,Genome-Wide Association Study ,Bristol Population Health Science Institute - Abstract
Importance The causal direction and magnitude of the association between telomere length and incidence of cancer and non-neoplastic diseases is uncertain owing to the susceptibility of observational studies to confounding and reverse causation. Objective To conduct a Mendelian randomization study, using germline genetic variants as instrumental variables, to appraise the causal relevance of telomere length for risk of cancer and non-neoplastic diseases. Data Sources Genomewide association studies (GWAS) published up to January 15, 2015. Study Selection GWAS of noncommunicable diseases that assayed germline genetic variation and did not select cohort or control participants on the basis of preexisting diseases. Of 163 GWAS of noncommunicable diseases identified, summary data from 103 were available. Data Extraction and Synthesis Summary association statistics for single nucleotide polymorphisms (SNPs) that are strongly associated with telomere length in the general population. Main Outcomes and Measures Odds ratios (ORs) and 95%confidence intervals (CIs) for disease per standard deviation (SD) higher telomere length due to germline genetic variation. Results Summary data were available for 35 cancers and 48 non-neoplastic diseases, corresponding to 420 081 cases (median cases, 2526 per disease) and 1 093 105 controls (median, 6789 per disease). Increased telomere length due to germline genetic variation was generally associated with increased risk for site-specific cancers. The strongest associations (ORs [95%CIs] per 1-SD change in genetically increased telomere length) were observed for glioma, 5.27 (3.15-8.81); serous low-malignant-potential ovarian cancer, 4.35 (2.39-7.94); lung adenocarcinoma, 3.19 (2.40-4.22); neuroblastoma, 2.98 (1.92-4.62); bladder cancer, 2.19 (1.32-3.66); melanoma, 1.87 (1.55-2.26); testicular cancer, 1.76 (1.02-3.04); kidney cancer, 1.55 (1.08-2.23); and endometrial cancer, 1.31 (1.07-1.61). Associations were stronger for rarer cancers and at tissue sites with lower rates of stem cell division. There was generally little evidence of association between genetically increased telomere length and risk of psychiatric, autoimmune, inflammatory, diabetic, and other non-neoplastic diseases, except for coronary heart disease (OR, 0.78 [95%CI, 0.67-0.90]), abdominal aortic aneurysm (OR, 0.63 [95%CI, 0.49-0.81]), celiac disease (OR, 0.42 [95%CI, 0.28-0.61]) and interstitial lung disease (OR, 0.09 [95%CI, 0.05-0.15]). Conclusions and Relevance It is likely that longer telomeres increase risk for several cancers but reduce risk for some non-neoplastic diseases, including cardiovascular diseases.
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- 2017
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7. Association between telomere length and risk of cancer and non-neoplastic diseases a mendelian randomization study
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Haycock, P. (Philip), Burgess, S. (Stephen), Nounu, A. (Aayah), Zheng, J. (Jie), Okoli, G.N. (George N.), Bowden, J., Wade, K.H. (Kaitlin Hazel), Timpson, N.J. (Nicholas J.), Evans, D.M. (David M.), Willeit, P. (Peter), Aviv, A. (Abraham), Gaunt, T.R. (Tom), Hemani, G., Mangino, M. (Massimo), Ellis, H.P. (Hayley Patricia), Kurian, K.M. (Kathreena M.), Pooley, K.A. (Karen A.), Eeles, R. (Rosalind), Lee, J.E. (Jeffrey E.), Fang, S. (Shenying), Chen, W.V. (Wei V.), Law, M.H. (Matthew H.), Bowdler, L.M. (Lisa M.), Iles, M.M. (Mark M.), Yang, Q. (Qiong Fang), Worrall, B.B. (Bradford B.), Markus, H.S. (Hugh), Hung, R.J. (Rayjean J.), Amos, W., Spurdle, A.B. (Amanda), Thompson, D. (Deborah), O'Mara, T.A. (Tracy A.), Wolpin, B. (Brian), Amundadottir, L. (Laufey), Stolzenberg-Solomon, R. (Rachael), Trichopoulou, A. (Antonia), Onland-Moret, N.C. (Charlotte), Lund, E. (Eiliv), Duell, E.J. (Eric), Canzian, F. (Federico), Severi, G. (Gianluca), Overvad, K. (Kim), Gunter, M.J. (Marc J.), Tumino, R. (Rosario), Svenson, U. (Ulrika), Rij, A.M. (Andre) van, Baas, A.F. (Annette), Bown, N., Samani, N.J. (Nilesh), Van t'Hof, F.N.G. (Femke N.G.), Tromp, G. (Gerard), Jones, G.T. (Gregory T.), Kuivaniemi, H. (Helena), Elmore, J.R. (James R.), Johansson, M. (Mattias), Mckay, J. (James), Scelo, G. (Ghislaine), Carreras-Torres, R. (Robert), Gaborieau, V. (Valerie), Brennan, P. (Paul), Bracci, P.M. (Paige M.), Neale, R.E. (Rachel E.), Olson, S.H. (Sara H.), Gallinger, S. (Steve), Li, D. (Donghui), Olson, S.H. (Sara), Risch, H. (Harvey), Klein, A.P. (Alison P.), Han, J., Abnet, C.C. (Christian C.), Freedman, N.D. (Neal D.), Taylor, P.R. (Phil R.), Maris, J.M. (John), Aben, K.K.H. (Katja), Kiemeney, L.A.L.M. (Bart), Vermeulen, S.H.H.M. (Sita), Wiencke, J.K. (John K.), Walsh, K.M. (Kyle M.), Wrensch, M. (Margaret), Rice, T. (Terri), Turnbull, C. (Clare), Litchfield, K. (Kevin), Paternoster, L. (Lavinia), Standl, M. (Marie), Abecasis, G.R. (Gonçalo), SanGiovanni, J.P. (John Paul), Li, Y. (Yong), Mijatovic, V. (Vladan), Sapkota, Y. (Yadav), Low, S.-K. (Siew-Kee), Zondervan, K.T. (Krina), Montgomery, G.W. (Grant W.), Nyholt, D.R. (Dale), Heel, D.A. (David) van, Hunt, K. (Karen), Arking, D.E. (Dan), Ashar, F.N. (Foram N.), Sotoodehnia, N. (Nona), Woo, D. (Daniel), Rosand, J. (Jonathan), Comeau, M.E. (Mary E.), Brown, W.M. (W. Mark), Silverman, E. (Edwin), Hokanson, J.E. (John E.), Cho, M.H. (Michael), Hui, J. (Jennie), Ferreira, M.A. (Manuel A.), Thompson, P.J. (Philip J.), Morrison, A.C. (Alanna), Felix, J.F. (Janine F.), Smith, N.L. (Nicholas L.), Christiano, A.M. (Angela), Petukhova, L. (Lynn), Betz, R.C. (Regina), Fan, X. (Xing), Zhang, X. (Xuejun), Zhu, C. (Caihong), Langefeld, C.D. (Carl), Thompson, S.D. (Susan D.), Wang, F. (Feijie), Lin, X. (Xu), Schwartz, D.A. (David A.), Fingerlin, T.E. (Tasha E.), Rotter, J.I. (Jerome I.), Cotch, M.F. (Mary Frances), Jensen, R.A. (Richard A.), Munz, M. (Matthias), Dommisch, H. (Henrik), Schaefer, A. (Antje), Han, F. (Fang), Ollila, H.M., Hillary, R.P. (Ryan P.), Albagha, O.M.E. (Omar M.), Ralston, S.H. (Stuart), Zeng, C. (Chenjie), Zheng, W. (Wei), Shu, X.-O. (Xiao-Ou), Reis, A. (André), Uebe, S. (Steffen), Hüffmeier, U. (Ulrike), Kawamura, Y. (Yoshiya), Otowa, T. (Takeshi), Sasaki, T. (Tsukasa), Hibberd, M.L. (Martin), Davila, S. (Sonia), Xie, G. (Gang), Siminovitch, K.A. (Katherine), Bei, J.-X. (Jin-Xin), Zeng, Y.X., Försti, A. (Asta), Chen, B. (Bowang), Landi, S. (Stefano), Franke, A. (Andre), Fischer, A. (Annegret), Ellinghaus, D. (David), Flores, C. (Carlos), Noth, I. (Imre), Ma, S.-F. (Shwu-Fan), Foo, J.-N. (Jia-Nee), Liu, J. (Jianjun), Kim, J.-W. (Jong-Won), Cox, D.G. (David), Delattre, O. (Olivier), Mirabeau, O. (Olivier), Skibola, C.F. (Christine F.), Tang, C.S. (Clara S.), Garcia-Barcelo, M., Chang, K.-P. (Kai-Ping), Su, W.-H. (Wen-Hui), Chang, Y.-S. (Yu-Sun), Martin, N.G. (Nicholas G.), Gordon, S.D. (Scott D.), Wade, T.D. (Tracey D.), Lee, C. (Chaeyoung), Kubo, M. (Michiaki), Cha, P.-C. (Pei-Chieng), Nakamura, Y. (Yusuke), Levy, D. (Daniel), Kimura, M. (Masayuki), Hwang, S.-J. (Shih-Jen), Hunt, S.C. (Steven), Spector, T.D. (Timothy), Soranzo, N. (Nicole), Manichaikul, A.W. (Ani W.), Barr, R.G. (Graham), Kahali, B. (Bratati), Speliotes, E.K. (Elizabeth), Yerges-Armstrong, L.M. (Laura), Cheng, C-Y. (Ching-Yu), Jonas, J.B. (Jost B.), Wong, T.Y. (Tien Yin), Fogh, I. (Isabella), Lin, K. (Kuang), Powell, J. (John), Rice, K. (Kenneth), Relton, C.L. (Caroline), Martin, R.M. (Richard M.), Smith, A.V. (Davey), Haycock, P. (Philip), Burgess, S. (Stephen), Nounu, A. (Aayah), Zheng, J. (Jie), Okoli, G.N. (George N.), Bowden, J., Wade, K.H. (Kaitlin Hazel), Timpson, N.J. (Nicholas J.), Evans, D.M. (David M.), Willeit, P. (Peter), Aviv, A. (Abraham), Gaunt, T.R. (Tom), Hemani, G., Mangino, M. (Massimo), Ellis, H.P. (Hayley Patricia), Kurian, K.M. (Kathreena M.), Pooley, K.A. (Karen A.), Eeles, R. (Rosalind), Lee, J.E. (Jeffrey E.), Fang, S. (Shenying), Chen, W.V. (Wei V.), Law, M.H. (Matthew H.), Bowdler, L.M. (Lisa M.), Iles, M.M. (Mark M.), Yang, Q. (Qiong Fang), Worrall, B.B. (Bradford B.), Markus, H.S. (Hugh), Hung, R.J. (Rayjean J.), Amos, W., Spurdle, A.B. (Amanda), Thompson, D. (Deborah), O'Mara, T.A. (Tracy A.), Wolpin, B. (Brian), Amundadottir, L. (Laufey), Stolzenberg-Solomon, R. (Rachael), Trichopoulou, A. (Antonia), Onland-Moret, N.C. (Charlotte), Lund, E. (Eiliv), Duell, E.J. (Eric), Canzian, F. (Federico), Severi, G. (Gianluca), Overvad, K. (Kim), Gunter, M.J. (Marc J.), Tumino, R. (Rosario), Svenson, U. (Ulrika), Rij, A.M. (Andre) van, Baas, A.F. (Annette), Bown, N., Samani, N.J. (Nilesh), Van t'Hof, F.N.G. (Femke N.G.), Tromp, G. (Gerard), Jones, G.T. (Gregory T.), Kuivaniemi, H. (Helena), Elmore, J.R. (James R.), Johansson, M. (Mattias), Mckay, J. (James), Scelo, G. (Ghislaine), Carreras-Torres, R. (Robert), Gaborieau, V. (Valerie), Brennan, P. (Paul), Bracci, P.M. (Paige M.), Neale, R.E. (Rachel E.), Olson, S.H. (Sara H.), Gallinger, S. (Steve), Li, D. (Donghui), Olson, S.H. (Sara), Risch, H. (Harvey), Klein, A.P. (Alison P.), Han, J., Abnet, C.C. (Christian C.), Freedman, N.D. (Neal D.), Taylor, P.R. (Phil R.), Maris, J.M. (John), Aben, K.K.H. (Katja), Kiemeney, L.A.L.M. (Bart), Vermeulen, S.H.H.M. (Sita), Wiencke, J.K. (John K.), Walsh, K.M. (Kyle M.), Wrensch, M. (Margaret), Rice, T. (Terri), Turnbull, C. (Clare), Litchfield, K. (Kevin), Paternoster, L. (Lavinia), Standl, M. (Marie), Abecasis, G.R. (Gonçalo), SanGiovanni, J.P. (John Paul), Li, Y. (Yong), Mijatovic, V. (Vladan), Sapkota, Y. (Yadav), Low, S.-K. (Siew-Kee), Zondervan, K.T. (Krina), Montgomery, G.W. (Grant W.), Nyholt, D.R. (Dale), Heel, D.A. (David) van, Hunt, K. (Karen), Arking, D.E. (Dan), Ashar, F.N. (Foram N.), Sotoodehnia, N. (Nona), Woo, D. (Daniel), Rosand, J. (Jonathan), Comeau, M.E. (Mary E.), Brown, W.M. (W. Mark), Silverman, E. (Edwin), Hokanson, J.E. (John E.), Cho, M.H. (Michael), Hui, J. (Jennie), Ferreira, M.A. (Manuel A.), Thompson, P.J. (Philip J.), Morrison, A.C. (Alanna), Felix, J.F. (Janine F.), Smith, N.L. (Nicholas L.), Christiano, A.M. (Angela), Petukhova, L. (Lynn), Betz, R.C. (Regina), Fan, X. (Xing), Zhang, X. (Xuejun), Zhu, C. (Caihong), Langefeld, C.D. (Carl), Thompson, S.D. (Susan D.), Wang, F. (Feijie), Lin, X. (Xu), Schwartz, D.A. (David A.), Fingerlin, T.E. (Tasha E.), Rotter, J.I. (Jerome I.), Cotch, M.F. (Mary Frances), Jensen, R.A. (Richard A.), Munz, M. (Matthias), Dommisch, H. (Henrik), Schaefer, A. (Antje), Han, F. (Fang), Ollila, H.M., Hillary, R.P. (Ryan P.), Albagha, O.M.E. (Omar M.), Ralston, S.H. (Stuart), Zeng, C. (Chenjie), Zheng, W. (Wei), Shu, X.-O. (Xiao-Ou), Reis, A. (André), Uebe, S. (Steffen), Hüffmeier, U. (Ulrike), Kawamura, Y. (Yoshiya), Otowa, T. (Takeshi), Sasaki, T. (Tsukasa), Hibberd, M.L. (Martin), Davila, S. (Sonia), Xie, G. (Gang), Siminovitch, K.A. (Katherine), Bei, J.-X. (Jin-Xin), Zeng, Y.X., Försti, A. (Asta), Chen, B. (Bowang), Landi, S. (Stefano), Franke, A. (Andre), Fischer, A. (Annegret), Ellinghaus, D. (David), Flores, C. (Carlos), Noth, I. (Imre), Ma, S.-F. (Shwu-Fan), Foo, J.-N. (Jia-Nee), Liu, J. (Jianjun), Kim, J.-W. (Jong-Won), Cox, D.G. (David), Delattre, O. (Olivier), Mirabeau, O. (Olivier), Skibola, C.F. (Christine F.), Tang, C.S. (Clara S.), Garcia-Barcelo, M., Chang, K.-P. (Kai-Ping), Su, W.-H. (Wen-Hui), Chang, Y.-S. (Yu-Sun), Martin, N.G. (Nicholas G.), Gordon, S.D. (Scott D.), Wade, T.D. (Tracey D.), Lee, C. (Chaeyoung), Kubo, M. (Michiaki), Cha, P.-C. (Pei-Chieng), Nakamura, Y. (Yusuke), Levy, D. (Daniel), Kimura, M. (Masayuki), Hwang, S.-J. (Shih-Jen), Hunt, S.C. (Steven), Spector, T.D. (Timothy), Soranzo, N. (Nicole), Manichaikul, A.W. (Ani W.), Barr, R.G. (Graham), Kahali, B. (Bratati), Speliotes, E.K. (Elizabeth), Yerges-Armstrong, L.M. (Laura), Cheng, C-Y. (Ching-Yu), Jonas, J.B. (Jost B.), Wong, T.Y. (Tien Yin), Fogh, I. (Isabella), Lin, K. (Kuang), Powell, J. (John), Rice, K. (Kenneth), Relton, C.L. (Caroline), Martin, R.M. (Richard M.), and Smith, A.V. (Davey)
- Abstract
IMPORTANCE: The causal direction and magnitude of the association between telomere length and incidence of cancer and non-neoplastic diseases is uncertain owing to the susceptibility of observational studies to confounding and reverse causation. OBJECTIVE: To conduct a Mendelian randomization study, using germline genetic variants as instrumental variables, to appraise the causal relevance of telomere length for risk of cancer and non-neoplastic diseases. DATA SOURCES: Genomewide association studies (GWAS) published up to January 15, 2015. STUDY SELECTION: GWAS of noncommunicable diseases that assayed germline genetic variation and did not select cohort or control participants on the basis of preexisting diseases. Of 163 GWAS of noncommunicable diseases identified, summary data from 103 were available. DATA EXTRACTION AND SYNTHESIS: Summary association statistics for single nucleotide polymorphisms (SNPs) that are strongly associated with telomere length in the general population. MAIN OUTCOMES AND MEASURES: Odds ratios (ORs) and 95% confidence intervals (CIs) for disease per standard deviation (SD) higher telomere length due to germline genetic variation. RESULTS: Summary data were available for 35 cancers and 48 non-neoplastic diseases, corresponding to 420 081 cases (median cases, 2526 per disease) and 1 093 105 controls (median, 6789 per disease). Increased telomere length due to germline genetic variation was generally associated with increased risk for site-specific cancers. The strongest associations (ORs [95% CIs] per 1-SD change in genetically increased telomere length) were observed for glioma, 5.27 (3.15-8.81); serous low-malignant-potential ovarian cancer, 4.35 (2.39-7.94); lung adenocarcinoma, 3.19 (2.40-4.22); neuroblastoma, 2.98 (1.92-4.62); bladder cancer, 2.19 (1.32-3.66); melanoma, 1.87 (1.55-2.26); testicular cancer, 1.76 (1.02-3.04); kidney cancer, 1.55 (1.08-2.23); and endometrial cancer, 1.31 (1.07-1.61). Associations were stronger for rarer ca
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- 2017
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8. Association Between Telomere Length and Risk of Cancer and Non-Neoplastic Diseases A Mendelian Randomization Study
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Haycock, PC, Burgess, S, Nounu, A, Zheng, J, Okoli, GN, Bowden, J, Wade, KH, Timpson, NJ, Evans, DM, Willeit, P, Aviv, A, Gaunt, T, Hemani, G, Mangino, M, Ellis, HP, Kurian, KM, Pooley, KA, Eeles, RA, Lee, JE, Fang, SY, Chen, WV, Law, MH, Bowdler, LM, Iles, MM, Yang, Q, Worrall, BB, Markus, HS, Hung, RJ, Amos, CI, Spurdle, AB, Thompson, DJ, O'Mara, TA, Wolpin, B, Amundadottir, L, Stolzenberg-Solomon, R, Trichopoulou, A, Onland-Moret, C, Lund, E, Duell, EJ, Canzian, F, Severi, G, Overvad, K, Gunter, MJ, Tumino, R, Svenson, U, van Rij, A, Baas, AF, Bown, MJ, Samani, NJ, van t'Hof, FNG, Tromp, G, Jones, GT, Kuivaniemi, H, Elmore, JR, Johansson, M, Mckay, J, Scelo, G, Carreras-Torres, R, Gaborieau, V, Brennan, P, Bracci, PM, Neale, RE, Olson, SH, Gallinger, S, Li, DH, Petersen, GM, Risch, HA, Klein, AP, Han, JL, Abnet, CC, Freedman, N D, Taylor, PR, Maris, JM, Aben, KK, Kiemeney, LA, Vermeulen, SH, Wiencke, JK, Walsh, KM, Wrensch, M, Rice, T, Turnbull, C, Litchfield, K, Paternoster, L, Standl, M, Abecasis, GR, SanGiovanni, JP, Li, Y, Mijatovic, V, Sapkota, Y, Low, SK, Zondervan, KT, Montgomery, GW, Nyholt, DR, van Heel, D A, Hunt, K, Arking, DE, Ashar, FN, Sotoodehnia, N, Woo, D, Rosand, J, Comeau, ME, Brown, W M, Silverman, EK, Hokanson, JE, Cho, MH, Hui, J, Ferreira, MA, Thompson, PJ, Morrison, AC, Felix, Janine, Smith, NL, Christiano, AM, Petukhova, L, Betz, RC, Fan, X, Zhang, XJ, Zhu, CH, Langefeld, CD, Thompson, SD, Wang, FJ, Lin, X, Schwartz, DA, Fingerlin, T, Rotter, JI, Cotch, MF, Jensen, RA, Munz, M, Dommisch, H, Schaefer, AS, Han, F, Ollila, HM, Hillary, RP, Albagha, O, Ralston, SH, Zeng, CJ, Zheng, W, Shu, XO, Reis, A, Uebe, S, Huffmeier, U, Kawamura, Y, Otowa, T, Sasaki, T, Hibberd, ML, Davila, S, Xie, G, Siminovitch, K, Bei, JX, Zeng, YX, Forsti, A, Chen, B (Bowang), Landi, S, Franke, A, Fischer, A, Ellinghaus, D, Flores, C, Noth, I, Ma, SF, Foo, JN, Liu, JJ, Kim, JW, Cox, DG, Delattre, O, Mirabeau, O, Skibola, CF, Tang, CS, Garcia-Barcelo, M, Chang, KP, Su, WH, Chang, YS, Martin, NG, Gordon, S, Wade, TD, Lee, C, Kubo, M, Cha, PC, Nakamura, Y, Levy, D, Kimura, M, Hwang, SJ, Hunt, S, Spector, T, Soranzo, N, Manichaikul, A, Barr, G, Kahali, B, Speliotes, E, Yerges-Armstrong, L, Cheng, CY (Ching-Yu), Jonas, JB, Wong, TY, Fogh, I, Lin, K, Powell, JF, Rice, K, Relton, CL, Martin, RM, Smith, GD, Haycock, PC, Burgess, S, Nounu, A, Zheng, J, Okoli, GN, Bowden, J, Wade, KH, Timpson, NJ, Evans, DM, Willeit, P, Aviv, A, Gaunt, T, Hemani, G, Mangino, M, Ellis, HP, Kurian, KM, Pooley, KA, Eeles, RA, Lee, JE, Fang, SY, Chen, WV, Law, MH, Bowdler, LM, Iles, MM, Yang, Q, Worrall, BB, Markus, HS, Hung, RJ, Amos, CI, Spurdle, AB, Thompson, DJ, O'Mara, TA, Wolpin, B, Amundadottir, L, Stolzenberg-Solomon, R, Trichopoulou, A, Onland-Moret, C, Lund, E, Duell, EJ, Canzian, F, Severi, G, Overvad, K, Gunter, MJ, Tumino, R, Svenson, U, van Rij, A, Baas, AF, Bown, MJ, Samani, NJ, van t'Hof, FNG, Tromp, G, Jones, GT, Kuivaniemi, H, Elmore, JR, Johansson, M, Mckay, J, Scelo, G, Carreras-Torres, R, Gaborieau, V, Brennan, P, Bracci, PM, Neale, RE, Olson, SH, Gallinger, S, Li, DH, Petersen, GM, Risch, HA, Klein, AP, Han, JL, Abnet, CC, Freedman, N D, Taylor, PR, Maris, JM, Aben, KK, Kiemeney, LA, Vermeulen, SH, Wiencke, JK, Walsh, KM, Wrensch, M, Rice, T, Turnbull, C, Litchfield, K, Paternoster, L, Standl, M, Abecasis, GR, SanGiovanni, JP, Li, Y, Mijatovic, V, Sapkota, Y, Low, SK, Zondervan, KT, Montgomery, GW, Nyholt, DR, van Heel, D A, Hunt, K, Arking, DE, Ashar, FN, Sotoodehnia, N, Woo, D, Rosand, J, Comeau, ME, Brown, W M, Silverman, EK, Hokanson, JE, Cho, MH, Hui, J, Ferreira, MA, Thompson, PJ, Morrison, AC, Felix, Janine, Smith, NL, Christiano, AM, Petukhova, L, Betz, RC, Fan, X, Zhang, XJ, Zhu, CH, Langefeld, CD, Thompson, SD, Wang, FJ, Lin, X, Schwartz, DA, Fingerlin, T, Rotter, JI, Cotch, MF, Jensen, RA, Munz, M, Dommisch, H, Schaefer, AS, Han, F, Ollila, HM, Hillary, RP, Albagha, O, Ralston, SH, Zeng, CJ, Zheng, W, Shu, XO, Reis, A, Uebe, S, Huffmeier, U, Kawamura, Y, Otowa, T, Sasaki, T, Hibberd, ML, Davila, S, Xie, G, Siminovitch, K, Bei, JX, Zeng, YX, Forsti, A, Chen, B (Bowang), Landi, S, Franke, A, Fischer, A, Ellinghaus, D, Flores, C, Noth, I, Ma, SF, Foo, JN, Liu, JJ, Kim, JW, Cox, DG, Delattre, O, Mirabeau, O, Skibola, CF, Tang, CS, Garcia-Barcelo, M, Chang, KP, Su, WH, Chang, YS, Martin, NG, Gordon, S, Wade, TD, Lee, C, Kubo, M, Cha, PC, Nakamura, Y, Levy, D, Kimura, M, Hwang, SJ, Hunt, S, Spector, T, Soranzo, N, Manichaikul, A, Barr, G, Kahali, B, Speliotes, E, Yerges-Armstrong, L, Cheng, CY (Ching-Yu), Jonas, JB, Wong, TY, Fogh, I, Lin, K, Powell, JF, Rice, K, Relton, CL, Martin, RM, and Smith, GD
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- 2017
9. ETS Proteins Bind with Glucocorticoid Receptors: Relevance for Treatment of Ewing Sarcoma
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Soma Ghosh, Arunachalam Sekar, Andrei Zinovyev, Diana Drago-Garcia, Mattia Lauriola, Ilaria Marrocco, Swati Srivastava, Olivier Delattre, Yuya Haga, Nishanth Belugali Nataraj, Chamutal Bornstein, Ron Rotkopf, Didier Surdez, Yosef Yarden, Heinrich Kovar, Adi Kimchi, Yasuo Tsutsumi, Eyal David, Lee Roth, Donatella Romaniello, Yuval Gilad, Olivier Mirabeau, Ido Amit, Srivastava S., Nataraj N.B., Sekar A., Ghosh S., Bornstein C., Drago-Garcia D., Roth L., Romaniello D., Marrocco I., David E., Gilad Y., Lauriola M., Rotkopf R., Kimchi A., Haga Y., Tsutsumi Y., Mirabeau O., Surdez D., Zinovyev A., Delattre O., Kovar H., Amit I., and Yarden Y.
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0301 basic medicine ,Chromosomal translocation ,Bone Neoplasms ,Mice, SCID ,Sarcoma, Ewing ,protein-fragment complementation assay ,Biology ,General Biochemistry, Genetics and Molecular Biology ,Article ,Metastasis ,03 medical and health sciences ,Mice ,0302 clinical medicine ,Glucocorticoid receptor ,Receptors, Glucocorticoid ,Protein-fragment complementation assay ,Cell Movement ,medicine ,glucocorticoid receptor ,Animals ,Humans ,metastasis ,lcsh:QH301-705.5 ,Transcription factor ,Cell Proliferation ,Cell Nucleus ,Gene knockdown ,Settore BIO/11 - BIOLOGIA MOLECOLARE ,Proto-Oncogene Proteins c-ets ,Proto-Oncogene Protein c-fli-1 ,fungi ,medicine.disease ,3. Good health ,Gene Expression Regulation, Neoplastic ,030104 developmental biology ,HEK293 Cells ,lcsh:Biology (General) ,FLI1 ,Cancer research ,cancer therapy ,metastasi ,Female ,Sarcoma ,RNA-Binding Protein EWS ,030217 neurology & neurosurgery ,Ewing sarcoma - Abstract
Summary The glucocorticoid receptor (GR) acts as a ubiquitous cortisol-dependent transcription factor (TF). To identify co-factors, we used protein-fragment complementation assays and found that GR recognizes FLI1 and additional ETS family proteins, TFs relaying proliferation and/or migration signals. Following steroid-dependent translocation of FLI1 and GR to the nucleus, the FLI1-specific domain (FLS) binds with GR and strongly enhances GR’s transcriptional activity. This interaction has functional consequences in Ewing sarcoma (ES), childhood and adolescence bone malignancies driven by fusions between EWSR1 and FLI1. In vitro, GR knockdown inhibited the migration and proliferation of ES cells, and in animal models, antagonizing GR (or lowering cortisol) retarded both tumor growth and metastasis from bone to lung. Taken together, our findings offer mechanistic rationale for repurposing GR-targeting drugs for the treatment of patients with ES., Graphical Abstract, Highlights • Glucocorticoids activate GR, an inducible TF regulating growth and metabolism • Protein complementation assays identified FLI1 and ERG as GR binders and activators • EWS-FLI1, a fusion protein, drives Ewing sarcoma (ES) and binds with activated GR • Pharmacological inhibition of GR activation retards progression in ES animal models, The single oncogene of Ewing sarcoma (ES), a childhood cancer, encodes a FLI1 fusion protein. Srivastava et al. report physical interactions between the fusion protein and the glucocorticoid receptor. Drug-induced inhibition of these interactions retards the progression of ES in mouse models.
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- 2019
10. The pelvic organs receive no parasympathetic innervation.
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Sivori M, Dempsey B, Chettouh Z, Boismoreau F, Ayerdi M, Eymael A, Baulande S, Lameiras S, Coulpier F, Delattre O, Rohrer H, Mirabeau O, and Brunet JF
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- Mice, Animals, Autonomic Nervous System, Sympathetic Nervous System metabolism, Pelvis, Viscera, Neurons physiology
- Abstract
The pelvic organs (bladder, rectum, and sex organs) have been represented for a century as receiving autonomic innervation from two pathways - lumbar sympathetic and sacral parasympathetic - by way of a shared relay, the pelvic ganglion, conceived as an assemblage of sympathetic and parasympathetic neurons. Using single-cell RNA sequencing, we find that the mouse pelvic ganglion is made of four classes of neurons, distinct from both sympathetic and parasympathetic ones, albeit with a kinship to the former, but not the latter, through a complex genetic signature. We also show that spinal lumbar preganglionic neurons synapse in the pelvic ganglion onto equal numbers of noradrenergic and cholinergic cells, both of which therefore serve as sympathetic relays. Thus, the pelvic viscera receive no innervation from parasympathetic or typical sympathetic neurons, but instead from a divergent tail end of the sympathetic chains, in charge of its idiosyncratic functions., Competing Interests: MS, BD, ZC, FB, MA, AE, SB, SL, FC, OD, HR, OM, JB No competing interests declared, (© 2023, Sivori, Dempsey et al.)
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- 2024
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11. System-wide mapping of peptide-GPCR interactions in C. elegans.
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Beets I, Zels S, Vandewyer E, Demeulemeester J, Caers J, Baytemur E, Courtney A, Golinelli L, Hasakioğulları İ, Schafer WR, Vértes PE, Mirabeau O, and Schoofs L
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- Animals, Caenorhabditis elegans metabolism, Phylogeny, Receptors, G-Protein-Coupled metabolism, Neuropeptides metabolism, Peptide Hormones genetics
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Neuropeptides and peptide hormones are ancient, widespread signaling molecules that underpin almost all brain functions. They constitute a broad ligand-receptor network, mainly by binding to G protein-coupled receptors (GPCRs). However, the organization of the peptidergic network and roles of many peptides remain elusive, as our insight into peptide-receptor interactions is limited and many peptide GPCRs are still orphan receptors. Here we report a genome-wide peptide-GPCR interaction map in Caenorhabditis elegans. By reverse pharmacology screening of over 55,384 possible interactions, we identify 461 cognate peptide-GPCR couples that uncover a broad signaling network with specific and complex combinatorial interactions encoded across and within single peptidergic genes. These interactions provide insights into peptide functions and evolution. Combining our dataset with phylogenetic analysis supports peptide-receptor co-evolution and conservation of at least 14 bilaterian peptidergic systems in C. elegans. This resource lays a foundation for system-wide analysis of the peptidergic network., Competing Interests: Declaration of interests The authors declare no competing interests., (Copyright © 2023 The Author(s). Published by Elsevier Inc. All rights reserved.)
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- 2023
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12. Receptor deorphanization in an echinoderm reveals kisspeptin evolution and relationship with SALMFamide neuropeptides.
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Escudero Castelán N, Semmens DC, Guerra LAY, Zandawala M, Dos Reis M, Slade SE, Scrivens JH, Zampronio CG, Jones AM, Mirabeau O, and Elphick MR
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- Amino Acid Sequence, Animals, Echinodermata, Ligands, Mammals, Phylogeny, Starfish, Kisspeptins genetics, Kisspeptins metabolism, Neuropeptides genetics, Neuropeptides metabolism
- Abstract
Background: Kisspeptins are neuropeptides that regulate reproductive maturation in mammals via G-protein-coupled receptor-mediated stimulation of gonadotropin-releasing hormone secretion from the hypothalamus. Phylogenetic analysis of kisspeptin-type receptors indicates that this neuropeptide signaling system originated in a common ancestor of the Bilateria, but little is known about kisspeptin signaling in invertebrates., Results: Contrasting with the occurrence of a single kisspeptin receptor in mammalian species, here, we report the discovery of an expanded family of eleven kisspeptin-type receptors in a deuterostome invertebrate - the starfish Asterias rubens (phylum Echinodermata). Furthermore, neuropeptides derived from four precursor proteins were identified as ligands for six of these receptors. One or more kisspeptin-like neuropeptides derived from two precursor proteins (ArKPP1, ArKPP2) act as ligands for four A. rubens kisspeptin-type receptors (ArKPR1,3,8,9). Furthermore, a family of neuropeptides that act as muscle relaxants in echinoderms (SALMFamides) are ligands for two A. rubens kisspeptin-type receptors (ArKPR6,7). The SALMFamide neuropeptide S1 (or ArS1.4) and a 'cocktail' of the seven neuropeptides derived from the S1 precursor protein (ArS1.1-ArS1.7) act as ligands for ArKPR7. The SALMFamide neuropeptide S2 (or ArS2.3) and a 'cocktail' of the eight neuropeptides derived from the S2 precursor protein (ArS2.1-ArS2.8) act as ligands for ArKPR6., Conclusions: Our findings reveal a remarkable diversity of neuropeptides that act as ligands for kisspeptin-type receptors in starfish and provide important new insights into the evolution of kisspeptin signaling. Furthermore, the discovery of the hitherto unknown relationship of kisspeptins with SALMFamides, neuropeptides that were discovered in starfish prior to the identification of kisspeptins in mammals, presents a radical change in perspective for research on kisspeptin signaling., (© 2022. The Author(s).)
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- 2022
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13. ERG transcription factors have a splicing regulatory function involving RBFOX2 that is altered in the EWS-FLI1 oncogenic fusion.
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Saulnier O, Guedri-Idjouadiene K, Aynaud MM, Chakraborty A, Bruyr J, Pineau J, O'Grady T, Mirabeau O, Grossetête S, Galvan B, Claes M, Al Oula Hassoun Z, Sadacca B, Laud K, Zaïdi S, Surdez D, Baulande S, Rambout X, Tirode F, Dutertre M, Delattre O, and Dequiedt F
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- Calmodulin-Binding Proteins genetics, Calmodulin-Binding Proteins metabolism, Cell Line, Cell Line, Tumor, HeLa Cells, Human Umbilical Vein Endothelial Cells metabolism, Humans, Protein Domains, Sarcoma, Ewing genetics, Sarcoma, Ewing metabolism, Transcriptional Regulator ERG chemistry, Transcriptional Regulator ERG metabolism, Alternative Splicing, Oncogene Proteins, Fusion metabolism, Proto-Oncogene Protein c-fli-1 metabolism, RNA Splicing Factors metabolism, RNA-Binding Protein EWS metabolism, Repressor Proteins metabolism
- Abstract
ERG family proteins (ERG, FLI1 and FEV) are a subfamily of ETS transcription factors with key roles in physiology and development. In Ewing sarcoma, the oncogenic fusion protein EWS-FLI1 regulates both transcription and alternative splicing of pre-messenger RNAs. However, whether wild-type ERG family proteins might regulate splicing is unknown. Here, we show that wild-type ERG proteins associate with spliceosomal components, are found on nascent RNAs, and induce alternative splicing when recruited onto a reporter minigene. Transcriptomic analysis revealed that ERG and FLI1 regulate large numbers of alternative spliced exons (ASEs) enriched with RBFOX2 motifs and co-regulated by this splicing factor. ERG and FLI1 are associated with RBFOX2 via their conserved carboxy-terminal domain, which is present in EWS-FLI1. Accordingly, EWS-FLI1 is also associated with RBFOX2 and regulates ASEs enriched in RBFOX2 motifs. However, in contrast to wild-type ERG and FLI1, EWS-FLI1 often antagonizes RBFOX2 effects on exon inclusion. In particular, EWS-FLI1 reduces RBFOX2 binding to the ADD3 pre-mRNA, thus increasing its long isoform, which represses the mesenchymal phenotype of Ewing sarcoma cells. Our findings reveal a RBFOX2-mediated splicing regulatory function of wild-type ERG family proteins, that is altered in EWS-FLI1 and contributes to the Ewing sarcoma cell phenotype., (© The Author(s) 2021. Published by Oxford University Press on behalf of Nucleic Acids Research.)
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- 2021
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14. Low-frequency variation near common germline susceptibility loci are associated with risk of Ewing sarcoma.
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Lin SH, Sampson JN, Grünewald TGP, Surdez D, Reynaud S, Mirabeau O, Karlins E, Rubio RA, Zaidi S, Grossetête-Lalami S, Ballet S, Lapouble E, Laurence V, Michon J, Pierron G, Kovar H, Kontny U, González-Neira A, Alonso J, Patino-Garcia A, Corradini N, Bérard PM, Miller J, Freedman ND, Rothman N, Carter BD, Dagnall CL, Burdett L, Jones K, Manning M, Wyatt K, Zhou W, Yeager M, Cox DG, Hoover RN, Khan J, Armstrong GT, Leisenring WM, Bhatia S, Robison LL, Kulozik AE, Kriebel J, Meitinger T, Metzler M, Krumbholz M, Hartmann W, Strauch K, Kirchner T, Dirksen U, Mirabello L, Tucker MA, Tirode F, Morton LM, Chanock SJ, Delattre O, and Machiela MJ
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- Genome-Wide Association Study, Humans, Linkage Disequilibrium genetics, Odds Ratio, Polymorphism, Single Nucleotide genetics, Genetic Loci, Genetic Predisposition to Disease, Genetic Variation, Germ Cells metabolism, Sarcoma, Ewing genetics
- Abstract
Background: Ewing sarcoma (EwS) is a rare, aggressive solid tumor of childhood, adolescence and young adulthood associated with pathognomonic EWSR1-ETS fusion oncoproteins altering transcriptional regulation. Genome-wide association studies (GWAS) have identified 6 common germline susceptibility loci but have not investigated low-frequency inherited variants with minor allele frequencies below 5% due to limited genotyped cases of this rare tumor., Methods: We investigated the contribution of rare and low-frequency variation to EwS susceptibility in the largest EwS genome-wide association study to date (733 EwS cases and 1,346 unaffected controls of European ancestry)., Results: We identified two low-frequency variants, rs112837127 and rs2296730, on chromosome 20 that were associated with EwS risk (OR = 0.186 and 2.038, respectively; P-value < 5×10-8) and located near previously reported common susceptibility loci. After adjusting for the most associated common variant at the locus, only rs112837127 remained a statistically significant independent signal (OR = 0.200, P-value = 5.84×10-8)., Conclusions: These findings suggest rare variation residing on common haplotypes are important contributors to EwS risk., Impact: Motivate future targeted sequencing studies for a comprehensive evaluation of low-frequency and rare variation around common EwS susceptibility loci., Competing Interests: The authors have read the journal's policy and the authors of this manuscript have the following competing interests: Leidos Biomedical Research Inc. and Information Management Services, Inc. provided salaries for authors J.M., E.K., C.L.D., L.B., K.J., M.M., K.W., and W.Z. This does not alter our adherence to PLOS ONE policies on sharing data and materials. There are no patents, products in development or marketed products to declare.
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- 2020
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15. NPY/NPF-Related Neuropeptide FLP-34 Signals from Serotonergic Neurons to Modulate Aversive Olfactory Learning in Caenorhabditis elegans .
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Fadda M, De Fruyt N, Borghgraef C, Watteyne J, Peymen K, Vandewyer E, Naranjo Galindo FJ, Kieswetter A, Mirabeau O, Chew YL, Beets I, and Schoofs L
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- Animals, Appetitive Behavior, Avoidance Learning drug effects, Butanones pharmacology, Caenorhabditis elegans, Diacetyl pharmacology, Dose-Response Relationship, Drug, Female, Gene Expression Regulation, Locomotion, Male, Neuropeptide Y genetics, Neuropeptides genetics, Association Learning physiology, Neuropeptide Y physiology, Neuropeptides physiology, Serotonergic Neurons physiology, Smell physiology
- Abstract
Aversive learning is fundamental for animals to increase chances of survival. In addition to classical neurotransmitters, neuropeptides have emerged to modulate such complex behaviors. Among them, neuropeptide Y (NPY) is well known to promote aversive memory acquisition in mammals. Here we identify an NPY/neuropeptide F (NPF)-related neuropeptide system in Caenorhabditis elegans and show that this FLP-34/NPR-11 system is required for learning negative associations, a process that is reminiscent of NPY signaling in mammals. The Caenorhabditis elegans NPY/NPF ortholog FLP-34 displays conserved structural hallmarks of bilaterian-wide NPY/NPF neuropeptides. We show that it is required for aversive olfactory learning after pairing diacetyl with the absence of food, but not for appetitive olfactory learning in response to butanone. To mediate diacetyl learning and thus integrate the aversive food context with the diacetyl odor, FLP-34 is released from serotonergic neurons and signals through its evolutionarily conserved NPY/NPF GPCR, NPR-11, in downstream AIA interneurons. NPR-11 activation in the AIA integration center results in avoidance of a previously attractive stimulus. This study opens perspectives for a deeper understanding of stress conditions in which aversive learning results in excessive avoidance. SIGNIFICANCE STATEMENT Aversive learning evolved early in evolution to promote avoidance of dangerous and stressful situations. In addition to classical neurotransmitters, neuropeptides are emerging as modulators of complex behaviors, including learning and memory. Here, we identified the evolutionary ortholog of neuropeptide Y/neuropeptide F in the nematode Caenorhabditis elegans , and we discovered that it is required for olfactory aversive learning. In addition, we elucidated the neural circuit underlying this avoidance behavior, and we discovered a novel coordinated action of Caenorhabditis elegans neuropeptide Y/neuropeptide F and serotonin that could aid in our understanding of the molecular mechanisms underlying stress disorders in which excessive avoidance results in maladaptive behaviors., (Copyright © 2020 the authors.)
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- 2020
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16. Echinoderms provide missing link in the evolution of PrRP/sNPF-type neuropeptide signalling.
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Yañez-Guerra LA, Zhong X, Moghul I, Butts T, Zampronio CG, Jones AM, Mirabeau O, and Elphick MR
- Subjects
- Animals, CHO Cells, Cloning, Molecular, Cricetinae, Cricetulus, Gene Expression Regulation, Neuropeptide Y chemistry, Neuropeptide Y genetics, Neuropeptide Y metabolism, Neuropeptides chemistry, Neuropeptides genetics, Prolactin-Releasing Hormone chemistry, Prolactin-Releasing Hormone genetics, Prolactin-Releasing Hormone metabolism, Protein Conformation, Neuropeptides metabolism, Starfish physiology
- Abstract
Neuropeptide signalling systems comprising peptide ligands and cognate receptors are evolutionarily ancient regulators of physiology and behaviour. However, there are challenges associated with determination of orthology between neuropeptides in different taxa. Orthologs of vertebrate neuropeptide-Y (NPY) known as neuropeptide-F (NPF) have been identified in protostome invertebrates, whilst prolactin-releasing peptide (PrRP) and short neuropeptide-F (sNPF) have been identified as paralogs of NPY/NPF in vertebrates and protostomes, respectively. Here we investigated the occurrence of NPY/NPF/PrRP/sNPF-related signalling systems in a deuterostome invertebrate phylum - the Echinodermata. Analysis of transcriptome/genome sequence data revealed loss of NPY/NPF-type signalling, but orthologs of PrRP-type neuropeptides and sNPF/PrRP-type receptors were identified in echinoderms. Furthermore, experimental studies revealed that the PrRP-type neuropeptide pQDRSKAMQAERTGQLRRLNPRF-NH
2 is a potent ligand for a sNPF/PrRP-type receptor in the starfish Asterias rubens . Our findings indicate that PrRP-type and sNPF-type signalling systems are orthologous and originated as a paralog of NPY/NPF-type signalling in Urbilateria., Competing Interests: LY, XZ, IM, TB, CZ, AJ, OM, ME No competing interests declared, (© 2020, Yañez-Guerra et al.)- Published
- 2020
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17. RPamide neuropeptides NLP-22 and NLP-2 act through GnRH-like receptors to promote sleep and wakefulness in C. elegans.
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Van der Auwera P, Frooninckx L, Buscemi K, Vance RT, Watteyne J, Mirabeau O, Temmerman L, De Haes W, Fancsalszky L, Gottschalk A, Raizen DM, Nelson MD, Schoofs L, and Beets I
- Subjects
- Animals, Caenorhabditis elegans drug effects, Caenorhabditis elegans Proteins genetics, Gonadotropin-Releasing Hormone genetics, Receptors, LHRH genetics, Sleep drug effects, Wakefulness drug effects, Caenorhabditis elegans physiology, Caenorhabditis elegans Proteins metabolism, Gonadotropin-Releasing Hormone metabolism, Neuropeptides pharmacology, Receptors, LHRH metabolism, Sleep physiology, Wakefulness physiology
- Abstract
Sleep and wakefulness are fundamental behavioral states of which the underlying molecular principles are becoming slowly elucidated. Transitions between these states require the coordination of multiple neurochemical and modulatory systems. In Caenorhabditis elegans sleep occurs during a larval transition stage called lethargus and is induced by somnogenic neuropeptides. Here, we identify two opposing neuropeptide/receptor signaling pathways: NLP-22 promotes behavioral quiescence, whereas NLP-2 promotes movement during lethargus, by signaling through gonadotropin-releasing hormone (GnRH) related receptors. Both NLP-2 and NLP-22 belong to the RPamide neuropeptide family and share sequence similarities with neuropeptides of the bilaterian GnRH, adipokinetic hormone (AKH) and corazonin family. RPamide neuropeptides dose-dependently activate the GnRH/AKH-like receptors GNRR-3 and GNRR-6 in a cellular receptor activation assay. In addition, nlp-22-induced locomotion quiescence requires the receptor gnrr-6. By contrast, wakefulness induced by nlp-2 overexpression is diminished by deletion of either gnrr-3 or gnrr-6. nlp-2 is expressed in a pair of olfactory AWA neurons and cycles with larval periodicity, as reported for nlp-22, which is expressed in RIA. Our data suggest that the somnogenic NLP-22 neuropeptide signals through GNRR-6, and that both GNRR-3 and GNRR-6 are required for the wake-promoting action of NLP-2 neuropeptides.
- Published
- 2020
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18. Transcriptional Programs Define Intratumoral Heterogeneity of Ewing Sarcoma at Single-Cell Resolution.
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Aynaud MM, Mirabeau O, Gruel N, Grossetête S, Boeva V, Durand S, Surdez D, Saulnier O, Zaïdi S, Gribkova S, Fouché A, Kairov U, Raynal V, Tirode F, Grünewald TGP, Bohec M, Baulande S, Janoueix-Lerosey I, Vert JP, Barillot E, Delattre O, and Zinovyev A
- Subjects
- Cell Line, Tumor, Humans, Signal Transduction, Gene Expression Regulation, Neoplastic genetics, RNA-Binding Protein EWS metabolism, Sarcoma, Ewing genetics, Transcription, Genetic genetics
- Abstract
EWSR1-FLI1, the chimeric oncogene specific for Ewing sarcoma (EwS), induces a cascade of signaling events leading to cell transformation. However, it remains elusive how genetically homogeneous EwS cells can drive the heterogeneity of transcriptional programs. Here, we combine independent component analysis of single-cell RNA sequencing data from diverse cell types and model systems with time-resolved mapping of EWSR1-FLI1 binding sites and of open chromatin regions to characterize dynamic cellular processes associated with EWSR1-FLI1 activity. We thus define an exquisitely specific and direct enhancer-driven EWSR1-FLI1 program. In EwS tumors, cell proliferation and strong oxidative phosphorylation metabolism are associated with a well-defined range of EWSR1-FLI1 activity. In contrast, a subpopulation of cells from below and above the intermediary EWSR1-FLI1 activity is characterized by increased hypoxia. Overall, our study reveals sources of intratumoral heterogeneity within EwS tumors., Competing Interests: Declaration of Interests The authors declare no competing interests., (Copyright © 2020 The Authors. Published by Elsevier Inc. All rights reserved.)
- Published
- 2020
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19. ETS Proteins Bind with Glucocorticoid Receptors: Relevance for Treatment of Ewing Sarcoma.
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Srivastava S, Nataraj NB, Sekar A, Ghosh S, Bornstein C, Drago-Garcia D, Roth L, Romaniello D, Marrocco I, David E, Gilad Y, Lauriola M, Rotkopf R, Kimchi A, Haga Y, Tsutsumi Y, Mirabeau O, Surdez D, Zinovyev A, Delattre O, Kovar H, Amit I, and Yarden Y
- Subjects
- Animals, Bone Neoplasms metabolism, Cell Movement physiology, Cell Nucleus metabolism, Cell Proliferation physiology, Female, Gene Expression Regulation, Neoplastic physiology, HEK293 Cells, Humans, Mice, Mice, SCID, Proto-Oncogene Protein c-fli-1 metabolism, RNA-Binding Protein EWS metabolism, Proto-Oncogene Proteins c-ets metabolism, Receptors, Glucocorticoid metabolism, Sarcoma, Ewing metabolism
- Abstract
The glucocorticoid receptor (GR) acts as a ubiquitous cortisol-dependent transcription factor (TF). To identify co-factors, we used protein-fragment complementation assays and found that GR recognizes FLI1 and additional ETS family proteins, TFs relaying proliferation and/or migration signals. Following steroid-dependent translocation of FLI1 and GR to the nucleus, the FLI1-specific domain (FLS) binds with GR and strongly enhances GR's transcriptional activity. This interaction has functional consequences in Ewing sarcoma (ES), childhood and adolescence bone malignancies driven by fusions between EWSR1 and FLI1. In vitro, GR knockdown inhibited the migration and proliferation of ES cells, and in animal models, antagonizing GR (or lowering cortisol) retarded both tumor growth and metastasis from bone to lung. Taken together, our findings offer mechanistic rationale for repurposing GR-targeting drugs for the treatment of patients with ES., (Copyright © 2019 The Author(s). Published by Elsevier Inc. All rights reserved.)
- Published
- 2019
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20. Cooperation of cancer drivers with regulatory germline variants shapes clinical outcomes.
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Musa J, Cidre-Aranaz F, Aynaud MM, Orth MF, Knott MML, Mirabeau O, Mazor G, Varon M, Hölting TLB, Grossetête S, Gartlgruber M, Surdez D, Gerke JS, Ohmura S, Marchetto A, Dallmayer M, Baldauf MC, Stein S, Sannino G, Li J, Romero-Pérez L, Westermann F, Hartmann W, Dirksen U, Gymrek M, Anderson ND, Shlien A, Rotblat B, Kirchner T, Delattre O, and Grünewald TGP
- Subjects
- Animals, Cell Cycle Proteins, Cell Line, Tumor, Cell Proliferation, Cell Survival, Cyclin-Dependent Kinase 2 antagonists & inhibitors, Cyclin-Dependent Kinase 2 metabolism, Gene Expression Regulation, Neoplastic, HEK293 Cells, Humans, Mice, Microsatellite Repeats genetics, Neoplasm Proteins metabolism, Oncogene Proteins, Fusion metabolism, Phenotype, Polymorphism, Genetic, Trans-Activators, Treatment Outcome, Up-Regulation genetics, Germ-Line Mutation genetics, Neoplasms genetics, Neoplasms therapy
- Abstract
Pediatric malignancies including Ewing sarcoma (EwS) feature a paucity of somatic alterations except for pathognomonic driver-mutations that cannot explain overt variations in clinical outcome. Here, we demonstrate in EwS how cooperation of dominant oncogenes and regulatory germline variants determine tumor growth, patient survival and drug response. Binding of the oncogenic EWSR1-FLI1 fusion transcription factor to a polymorphic enhancer-like DNA element controls expression of the transcription factor MYBL2 mediating these phenotypes. Whole-genome and RNA sequencing reveals that variability at this locus is inherited via the germline and is associated with variable inter-tumoral MYBL2 expression. High MYBL2 levels sensitize EwS cells for inhibition of its upstream activating kinase CDK2 in vitro and in vivo, suggesting MYBL2 as a putative biomarker for anti-CDK2-therapy. Collectively, we establish cooperation of somatic mutations and regulatory germline variants as a major determinant of tumor progression and highlight the importance of integrating the regulatory genome in precision medicine.
- Published
- 2019
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21. ALK mutation dynamics and clonal evolution in a neuroblastoma model exhibiting two ALK mutations.
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Durand S, Pierre-Eugène C, Mirabeau O, Louis-Brennetot C, Combaret V, Colmet-Daage L, Blanchard O, Bellini A, Daudigeos-Dubus E, Raynal V, Schleiermacher G, Baulande S, Delattre O, and Janoueix-Lerosey I
- Abstract
The ALK gene is a major oncogene of neuroblastoma cases exhibiting ALK activating mutations. Here, we characterized two neuroblastoma cell lines established from a stage 4 patient at diagnosis either from the primary tumor (PT) or from the bone marrow (BM). Both cell lines exhibited similar genomic profiles. All cells in the BM-derived cell line exhibited an ALK F1174L mutation, whereas this mutation was present in only 5% of the cells in the earliest passages of the PT-derived cell line. The BM-derived cell line presented with a higher proliferation rate in vitro and injections in Nude mice resulted in tumor formation only for the BM-derived cell line. Next, we observed that the F1174L mutation frequency in the PT-derived cell line increased with successive passages. Further Whole Exome Sequencing revealed a second ALK mutation, L1196M, in this cell line. Digital droplet PCR documented that the allele fractions of both mutations changed upon passages, and that the F1174L mutation reached 50% in late passages, indicating clonal evolution. In vitro treatment of the PT-derived cell line exhibiting the F1174L and L1196M mutations with the alectinib inhibitor resulted in an enrichment of the L1196M mutation. Using xenografts, we documented a better efficacy of alectinib compared to crizotinib on tumor growth and an enrichment of the L1196M mutation at the end of both treatments. Finally, single-cell RNA-seq analysis was consistent with both mutations resulting in ALK activation. Altogether, this study provides novel insights into ALK mutation dynamics in a neuroblastoma model harbouring two ALK mutations., Competing Interests: CONFLICTS OF INTEREST The authors declare no conflicts of interest.
- Published
- 2019
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22. Amphioxus functional genomics and the origins of vertebrate gene regulation.
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Marlétaz F, Firbas PN, Maeso I, Tena JJ, Bogdanovic O, Perry M, Wyatt CDR, de la Calle-Mustienes E, Bertrand S, Burguera D, Acemel RD, van Heeringen SJ, Naranjo S, Herrera-Ubeda C, Skvortsova K, Jimenez-Gancedo S, Aldea D, Marquez Y, Buono L, Kozmikova I, Permanyer J, Louis A, Albuixech-Crespo B, Le Petillon Y, Leon A, Subirana L, Balwierz PJ, Duckett PE, Farahani E, Aury JM, Mangenot S, Wincker P, Albalat R, Benito-Gutiérrez È, Cañestro C, Castro F, D'Aniello S, Ferrier DEK, Huang S, Laudet V, Marais GAB, Pontarotti P, Schubert M, Seitz H, Somorjai I, Takahashi T, Mirabeau O, Xu A, Yu JK, Carninci P, Martinez-Morales JR, Crollius HR, Kozmik Z, Weirauch MT, Garcia-Fernàndez J, Lister R, Lenhard B, Holland PWH, Escriva H, Gómez-Skarmeta JL, and Irimia M
- Subjects
- Animals, Body Patterning genetics, DNA Methylation, Humans, Lancelets embryology, Molecular Sequence Annotation, Promoter Regions, Genetic, Transcriptome genetics, Gene Expression Regulation, Genomics, Lancelets genetics, Vertebrates genetics
- Abstract
Vertebrates have greatly elaborated the basic chordate body plan and evolved highly distinctive genomes that have been sculpted by two whole-genome duplications. Here we sequence the genome of the Mediterranean amphioxus (Branchiostoma lanceolatum) and characterize DNA methylation, chromatin accessibility, histone modifications and transcriptomes across multiple developmental stages and adult tissues to investigate the evolution of the regulation of the chordate genome. Comparisons with vertebrates identify an intermediate stage in the evolution of differentially methylated enhancers, and a high conservation of gene expression and its cis-regulatory logic between amphioxus and vertebrates that occurs maximally at an earlier mid-embryonic phylotypic period. We analyse regulatory evolution after whole-genome duplications, and find that-in vertebrates-over 80% of broadly expressed gene families with multiple paralogues derived from whole-genome duplications have members that restricted their ancestral expression, and underwent specialization rather than subfunctionalization. Counter-intuitively, paralogues that restricted their expression increased the complexity of their regulatory landscapes. These data pave the way for a better understanding of the regulatory principles that underlie key vertebrate innovations.
- Published
- 2018
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23. Correction: Evolution of neuropeptide signalling systems (doi:10.1242/jeb.151092).
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Elphick MR, Mirabeau O, and Larhammar D
- Published
- 2018
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24. Genome-wide association study identifies multiple new loci associated with Ewing sarcoma susceptibility.
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Machiela MJ, Grünewald TGP, Surdez D, Reynaud S, Mirabeau O, Karlins E, Rubio RA, Zaidi S, Grossetete-Lalami S, Ballet S, Lapouble E, Laurence V, Michon J, Pierron G, Kovar H, Gaspar N, Kontny U, González-Neira A, Picci P, Alonso J, Patino-Garcia A, Corradini N, Bérard PM, Freedman ND, Rothman N, Dagnall CL, Burdett L, Jones K, Manning M, Wyatt K, Zhou W, Yeager M, Cox DG, Hoover RN, Khan J, Armstrong GT, Leisenring WM, Bhatia S, Robison LL, Kulozik AE, Kriebel J, Meitinger T, Metzler M, Hartmann W, Strauch K, Kirchner T, Dirksen U, Morton LM, Mirabello L, Tucker MA, Tirode F, Chanock SJ, and Delattre O
- Subjects
- Alleles, Cell Cycle Proteins genetics, Cell Proliferation genetics, DNA-Binding Proteins genetics, Gene Expression Regulation, Neoplastic, Genotype, Homeobox Protein Nkx-2.2, Homeodomain Proteins genetics, Humans, Nuclear Proteins, Oncogene Proteins, Fusion genetics, Polymorphism, Single Nucleotide, Proto-Oncogene Protein c-fli-1 genetics, Quality Control, Quantitative Trait Loci, RNA-Binding Protein EWS genetics, Risk, Sarcoma, Ewing ethnology, Transcription Factors genetics, White People, Zebrafish Proteins, Gene Expression Profiling, Genetic Predisposition to Disease, Genome-Wide Association Study, Sarcoma, Ewing genetics
- Abstract
Ewing sarcoma (EWS) is a pediatric cancer characterized by the EWSR1-FLI1 fusion. We performed a genome-wide association study of 733 EWS cases and 1346 unaffected individuals of European ancestry. Our study replicates previously reported susceptibility loci at 1p36.22, 10q21.3 and 15q15.1, and identifies new loci at 6p25.1, 20p11.22 and 20p11.23. Effect estimates exhibit odds ratios in excess of 1.7, which is high for cancer GWAS, and striking in light of the rarity of EWS cases in familial cancer syndromes. Expression quantitative trait locus (eQTL) analyses identify candidate genes at 6p25.1 (RREB1) and 20p11.23 (KIZ). The 20p11.22 locus is near NKX2-2, a highly overexpressed gene in EWS. Interestingly, most loci reside near GGAA repeat sequences and may disrupt binding of the EWSR1-FLI1 fusion protein. The high locus to case discovery ratio from 733 EWS cases suggests a genetic architecture in which moderate risk SNPs constitute a significant fraction of risk.
- Published
- 2018
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25. Evolution of neuropeptide signalling systems.
- Author
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Elphick MR, Mirabeau O, and Larhammar D
- Subjects
- Animals, Invertebrates genetics, Vertebrates genetics, Evolution, Molecular, Invertebrates physiology, Neuropeptides genetics, Signal Transduction genetics, Vertebrates physiology
- Abstract
Neuropeptides are a diverse class of neuronal signalling molecules that regulate physiological processes and behaviour in animals. However, determining the relationships and evolutionary origins of the heterogeneous assemblage of neuropeptides identified in a range of phyla has presented a huge challenge for comparative physiologists. Here, we review revolutionary insights into the evolution of neuropeptide signalling that have been obtained recently through comparative analysis of genome/transcriptome sequence data and by 'deorphanisation' of neuropeptide receptors. The evolutionary origins of at least 30 neuropeptide signalling systems have been traced to the common ancestor of protostomes and deuterostomes. Furthermore, two rounds of genome duplication gave rise to an expanded repertoire of neuropeptide signalling systems in the vertebrate lineage, enabling neofunctionalisation and/or subfunctionalisation, but with lineage-specific gene loss and/or additional gene or genome duplications generating complex patterns in the phylogenetic distribution of paralogous neuropeptide signalling systems. We are entering a new era in neuropeptide research where it has become feasible to compare the physiological roles of orthologous and paralogous neuropeptides in a wide range of phyla. Moreover, the ambitious mission to reconstruct the evolution of neuropeptide function in the animal kingdom now represents a tangible challenge for the future., Competing Interests: Competing interestsThe authors declare no competing or financial interests., (© 2018. Published by The Company of Biologists Ltd.)
- Published
- 2018
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26. Synaptic and peptidergic connectome of a neurosecretory center in the annelid brain.
- Author
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Williams EA, Verasztó C, Jasek S, Conzelmann M, Shahidi R, Bauknecht P, Mirabeau O, and Jékely G
- Subjects
- Animals, Gene Expression Profiling, Microscopy, Electron, Transmission, Neuropeptides metabolism, Brain anatomy & histology, Brain physiology, Connectome, Neurosecretory Systems anatomy & histology, Neurosecretory Systems physiology, Polychaeta
- Abstract
Neurosecretory centers in animal brains use peptidergic signaling to influence physiology and behavior. Understanding neurosecretory center function requires mapping cell types, synapses, and peptidergic networks. Here we use transmission electron microscopy and gene expression mapping to analyze the synaptic and peptidergic connectome of an entire neurosecretory center. We reconstructed 78 neurosecretory neurons and mapped their synaptic connectivity in the brain of larval Platynereis dumerilii , a marine annelid. These neurons form an anterior neurosecretory center expressing many neuropeptides, including hypothalamic peptide orthologs and their receptors. Analysis of peptide-receptor pairs in spatially mapped single-cell transcriptome data revealed sparsely connected networks linking specific neuronal subsets. We experimentally analyzed one peptide-receptor pair and found that a neuropeptide can couple neurosecretory and synaptic brain signaling. Our study uncovered extensive networks of peptidergic signaling within a neurosecretory center and its connection to the synaptic brain.
- Published
- 2017
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27. Two genomes of highly polyphagous lepidopteran pests (Spodoptera frugiperda, Noctuidae) with different host-plant ranges.
- Author
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Gouin A, Bretaudeau A, Nam K, Gimenez S, Aury JM, Duvic B, Hilliou F, Durand N, Montagné N, Darboux I, Kuwar S, Chertemps T, Siaussat D, Bretschneider A, Moné Y, Ahn SJ, Hänniger S, Grenet AG, Neunemann D, Maumus F, Luyten I, Labadie K, Xu W, Koutroumpa F, Escoubas JM, Llopis A, Maïbèche-Coisne M, Salasc F, Tomar A, Anderson AR, Khan SA, Dumas P, Orsucci M, Guy J, Belser C, Alberti A, Noel B, Couloux A, Mercier J, Nidelet S, Dubois E, Liu NY, Boulogne I, Mirabeau O, Le Goff G, Gordon K, Oakeshott J, Consoli FL, Volkoff AN, Fescemyer HW, Marden JH, Luthe DS, Herrero S, Heckel DG, Wincker P, Kergoat GJ, Amselem J, Quesneville H, Groot AT, Jacquin-Joly E, Nègre N, Lemaitre C, Legeai F, d'Alençon E, and Fournier P
- Subjects
- Animals, Crops, Agricultural, Larva genetics, Species Specificity, Adaptation, Physiological genetics, Genome, Insect, Herbivory, Spodoptera genetics
- Abstract
Emergence of polyphagous herbivorous insects entails significant adaptation to recognize, detoxify and digest a variety of host-plants. Despite of its biological and practical importance - since insects eat 20% of crops - no exhaustive analysis of gene repertoires required for adaptations in generalist insect herbivores has previously been performed. The noctuid moth Spodoptera frugiperda ranks as one of the world's worst agricultural pests. This insect is polyphagous while the majority of other lepidopteran herbivores are specialist. It consists of two morphologically indistinguishable strains ("C" and "R") that have different host plant ranges. To describe the evolutionary mechanisms that both enable the emergence of polyphagous herbivory and lead to the shift in the host preference, we analyzed whole genome sequences from laboratory and natural populations of both strains. We observed huge expansions of genes associated with chemosensation and detoxification compared with specialist Lepidoptera. These expansions are largely due to tandem duplication, a possible adaptation mechanism enabling polyphagy. Individuals from natural C and R populations show significant genomic differentiation. We found signatures of positive selection in genes involved in chemoreception, detoxification and digestion, and copy number variation in the two latter gene families, suggesting an adaptive role for structural variation.
- Published
- 2017
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28. MYBL2 (B-Myb): a central regulator of cell proliferation, cell survival and differentiation involved in tumorigenesis.
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Musa J, Aynaud MM, Mirabeau O, Delattre O, and Grünewald TG
- Subjects
- Animals, Cell Cycle, Cell Proliferation, Cell Survival, Humans, Carcinogenesis metabolism, Carcinogenesis pathology, Cell Differentiation, Trans-Activators metabolism
- Abstract
Limitless cell proliferation, evasion from apoptosis, dedifferentiation, metastatic spread and therapy resistance: all these properties of a cancer cell contribute to its malignant phenotype and affect patient outcome. MYBL2 (alias B-Myb) is a transcription factor of the MYB transcription factor family and a physiological regulator of cell cycle progression, cell survival and cell differentiation. When deregulated in cancer cells, MYBL2 mediates the deregulation of these properties. In fact, MYBL2 is overexpressed and associated with poor patient outcome in numerous cancer entities. MYBL2 and players of its downstream transcriptional network can be used as prognostic and/or predictive biomarkers as well as potential therapeutic targets to offer less toxic and more specific anti-cancer therapies in future. In this review, we summarize current knowledge on the physiological roles of MYBL2 and highlight the impact of its deregulation on cancer initiation and progression.
- Published
- 2017
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29. Evolutionarily conserved TRH neuropeptide pathway regulates growth in Caenorhabditis elegans .
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Van Sinay E, Mirabeau O, Depuydt G, Van Hiel MB, Peymen K, Watteyne J, Zels S, Schoofs L, and Beets I
- Subjects
- Amino Acid Sequence, Animals, Body Size, CRISPR-Cas Systems, Caenorhabditis elegans metabolism, Conserved Sequence, Diet, Evolution, Molecular, Gastrointestinal Motility, RNA Interference, Receptors, Thyrotropin-Releasing Hormone metabolism, Transforming Growth Factor beta metabolism, Caenorhabditis elegans growth & development, Thyrotropin-Releasing Hormone metabolism
- Abstract
In vertebrates thyrotropin-releasing hormone (TRH) is a highly conserved neuropeptide that exerts the hormonal control of thyroid-stimulating hormone (TSH) levels as well as neuromodulatory functions. However, a functional equivalent in protostomian animals remains unknown, although TRH receptors are conserved in proto- and deuterostomians. Here we identify a TRH-like neuropeptide precursor in Caenorhabditis elegans that belongs to a bilaterian family of TRH precursors. Using CRISPR/Cas9 and RNAi reverse genetics, we show that TRH-like neuropeptides, through the activation of their receptor TRHR-1, promote growth in C elegans TRH-like peptides from pharyngeal motor neurons are required for normal body size, and knockdown of their receptor in pharyngeal muscle cells reduces growth. Mutants deficient for TRH signaling have no defects in pharyngeal pumping or isthmus peristalsis rates, but their growth defect depends on the bacterial diet. In addition to the decrease in growth, trh-1 mutants have a reduced number of offspring. Our study suggests that TRH is an evolutionarily ancient neuropeptide, having its origin before the divergence of protostomes and deuterostomes, and may ancestrally have been involved in the control of postembryonic growth and reproduction., Competing Interests: The authors declare no conflict of interest.
- Published
- 2017
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30. Transcriptomic identification of starfish neuropeptide precursors yields new insights into neuropeptide evolution.
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Semmens DC, Mirabeau O, Moghul I, Pancholi MR, Wurm Y, and Elphick MR
- Subjects
- Amino Acid Sequence, Animals, High-Throughput Nucleotide Sequencing, Molecular Sequence Data, Multigene Family, Phylogeny, Sequence Alignment, Starfish classification, Evolution, Molecular, Gene Expression Profiling, Neuropeptides genetics, Starfish genetics, Transcriptome
- Abstract
Neuropeptides are evolutionarily ancient mediators of neuronal signalling in nervous systems. With recent advances in genomics/transcriptomics, an increasingly wide range of species has become accessible for molecular analysis. The deuterostomian invertebrates are of particular interest in this regard because they occupy an 'intermediate' position in animal phylogeny, bridging the gap between the well-studied model protostomian invertebrates (e.g. Drosophila melanogaster, Caenorhabditis elegans) and the vertebrates. Here we have identified 40 neuropeptide precursors in the starfish Asterias rubens, a deuterostomian invertebrate from the phylum Echinodermata. Importantly, these include kisspeptin-type and melanin-concentrating hormone-type precursors, which are the first to be discovered in a non-chordate species. Starfish tachykinin-type, somatostatin-type, pigment-dispersing factor-type and corticotropin-releasing hormone-type precursors are the first to be discovered in the echinoderm/ambulacrarian clade of the animal kingdom. Other precursors identified include vasopressin/oxytocin-type, gonadotropin-releasing hormone-type, thyrotropin-releasing hormone-type, calcitonin-type, cholecystokinin/gastrin-type, orexin-type, luqin-type, pedal peptide/orcokinin-type, glycoprotein hormone-type, bursicon-type, relaxin-type and insulin-like growth factor-type precursors. This is the most comprehensive identification of neuropeptide precursor proteins in an echinoderm to date, yielding new insights into the evolution of neuropeptide signalling systems. Furthermore, these data provide a basis for experimental analysis of neuropeptide function in the unique context of the decentralized, pentaradial echinoderm bauplan., (© 2016 The Authors.)
- Published
- 2016
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31. Chimeric EWSR1-FLI1 regulates the Ewing sarcoma susceptibility gene EGR2 via a GGAA microsatellite.
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Grünewald TG, Bernard V, Gilardi-Hebenstreit P, Raynal V, Surdez D, Aynaud MM, Mirabeau O, Cidre-Aranaz F, Tirode F, Zaidi S, Perot G, Jonker AH, Lucchesi C, Le Deley MC, Oberlin O, Marec-Bérard P, Véron AS, Reynaud S, Lapouble E, Boeva V, Rio Frio T, Alonso J, Bhatia S, Pierron G, Cancel-Tassin G, Cussenot O, Cox DG, Morton LM, Machiela MJ, Chanock SJ, Charnay P, and Delattre O
- Subjects
- Animals, Base Sequence, Bone Neoplasms pathology, Carotenoids genetics, Cell Line, Tumor, Cell Proliferation, Gene Expression, Gene Expression Regulation, Neoplastic, Genetic Association Studies, Genetic Predisposition to Disease, Humans, Mice, SCID, Microsatellite Repeats, Molecular Sequence Data, Neoplasm Transplantation, Oxygenases genetics, Polymorphism, Single Nucleotide, Quantitative Trait Loci, Sarcoma, Ewing pathology, Tumor Burden, Bone Neoplasms genetics, Early Growth Response Protein 2 genetics, Oncogene Proteins, Fusion genetics, Proto-Oncogene Protein c-fli-1 genetics, RNA-Binding Protein EWS genetics, Sarcoma, Ewing genetics
- Abstract
Deciphering the ways in which somatic mutations and germline susceptibility variants cooperate to promote cancer is challenging. Ewing sarcoma is characterized by fusions between EWSR1 and members of the ETS gene family, usually EWSR1-FLI1, leading to the generation of oncogenic transcription factors that bind DNA at GGAA motifs. A recent genome-wide association study identified susceptibility variants near EGR2. Here we found that EGR2 knockdown inhibited proliferation, clonogenicity and spheroidal growth in vitro and induced regression of Ewing sarcoma xenografts. Targeted germline deep sequencing of the EGR2 locus in affected subjects and controls identified 291 Ewing-associated SNPs. At rs79965208, the A risk allele connected adjacent GGAA repeats by converting an interspaced GGAT motif into a GGAA motif, thereby increasing the number of consecutive GGAA motifs and thus the EWSR1-FLI1-dependent enhancer activity of this sequence, with epigenetic characteristics of an active regulatory element. EWSR1-FLI1 preferentially bound to the A risk allele, which increased global and allele-specific EGR2 expression. Collectively, our findings establish cooperation between a dominant oncogene and a susceptibility variant that regulates a major driver of Ewing sarcomagenesis.
- Published
- 2015
- Full Text
- View/download PDF
32. The Evolution and Variety of RFamide-Type Neuropeptides: Insights from Deuterostomian Invertebrates.
- Author
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Elphick MR and Mirabeau O
- Abstract
Five families of neuropeptides that have a C-terminal RFamide motif have been identified in vertebrates: (1) gonadotropin-inhibitory hormone (GnIH), (2) neuropeptide FF (NPFF), (3) pyroglutamylated RFamide peptide (QRFP), (4) prolactin-releasing peptide (PrRP), and (5) Kisspeptin. Experimental demonstration of neuropeptide-receptor pairings combined with comprehensive analysis of genomic and/or transcriptomic sequence data indicate that, with the exception of the deuterostomian PrRP system, the evolutionary origins of these neuropeptides can be traced back to the common ancestor of bilaterians. Here, we review the occurrence of homologs of vertebrate RFamide-type neuropeptides and their receptors in deuterostomian invertebrates - urochordates, cephalochordates, hemichordates, and echinoderms. Extending analysis of the occurrence of the RFamide motif in other bilaterian neuropeptide families reveals RFamide-type peptides that have acquired modified C-terminal characteristics in the vertebrate lineage (e.g., NPY/NPF), neuropeptide families where the RFamide motif is unique to protostomian members (e.g., CCK/sulfakinins), and RFamide-type peptides that have been lost in the vertebrate lineage (e.g., luqins). Furthermore, the RFamide motif is also a feature of neuropeptide families with a more restricted phylogenetic distribution (e.g., the prototypical FMRFamide-related neuropeptides in protostomes). Thus, the RFamide motif is both an ancient and a convergent feature of neuropeptides, with conservation, acquisition, or loss of this motif occurring in different branches of the animal kingdom.
- Published
- 2014
- Full Text
- View/download PDF
33. Molecular evolution of peptidergic signaling systems in bilaterians.
- Author
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Mirabeau O and Joly JS
- Subjects
- Animals, Base Sequence, Bayes Theorem, Gene Components, Humans, Likelihood Functions, Models, Genetic, Molecular Sequence Data, Sequence Analysis, DNA, Species Specificity, Evolution, Molecular, Invertebrates genetics, Neuropeptides genetics, Phylogeny, Receptors, G-Protein-Coupled genetics, Receptors, Gastrointestinal Hormone genetics, Rhodopsin genetics, Vertebrates genetics
- Abstract
Peptide hormones and their receptors are widespread in metazoans, but the knowledge we have of their evolutionary relationships remains unclear. Recently, accumulating genome sequences from many different species have offered the opportunity to reassess the relationships between protostomian and deuterostomian peptidergic systems (PSs). Here we used sequences of all human rhodopsin and secretin-type G protein-coupled receptors as bait to retrieve potential homologs in the genomes of 15 bilaterian species, including nonchordate deuterostomian and lophotrochozoan species. Our phylogenetic analysis of these receptors revealed 29 well-supported subtrees containing mixed sets of protostomian and deuterostomian sequences. This indicated that many vertebrate and arthropod PSs that were previously thought to be phyla specific are in fact of bilaterian origin. By screening sequence databases for potential peptides, we then reconstructed entire bilaterian peptide families and showed that protostomian and deuterostomian peptides that are ligands of orthologous receptors displayed some similarity at the level of their primary sequence, suggesting an ancient coevolution between peptide and receptor genes. In addition to shedding light on the function of human G protein-coupled receptor PSs, this work presents orthology markers to study ancestral neuron types that were probably present in the last common bilaterian ancestor.
- Published
- 2013
- Full Text
- View/download PDF
34. Evolution of dopamine receptor genes of the D1 class in vertebrates.
- Author
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Yamamoto K, Mirabeau O, Bureau C, Blin M, Michon-Coudouel S, Demarque M, and Vernier P
- Subjects
- Amino Acid Sequence, Animals, Avian Proteins genetics, Avian Proteins metabolism, Brain metabolism, Chickens genetics, Chickens metabolism, Gene Duplication, Gene Expression Profiling, Likelihood Functions, Models, Genetic, Organ Specificity, Phylogeny, Receptors, Dopamine D1 metabolism, Synteny, Xenopus Proteins genetics, Xenopus Proteins metabolism, Xenopus laevis genetics, Xenopus laevis metabolism, Zebrafish genetics, Zebrafish metabolism, Zebrafish Proteins genetics, Zebrafish Proteins metabolism, Evolution, Molecular, Receptors, Dopamine D1 genetics
- Abstract
The receptors of the dopamine neurotransmitter belong to two unrelated classes named D1 and D2. For the D1 receptor class, only two subtypes are found in mammals, the D1A and D1B, receptors, whereas additional subtypes, named D1C, D1D, and D1X, have been found in other vertebrate species. Here, we analyzed molecular phylogeny, gene synteny, and gene expression pattern of the D1 receptor subtypes in a large range of vertebrate species, which leads us to propose a new view of the evolution of D1 dopamine receptor genes. First, we show that D1C and D1D receptor sequences are encoded by orthologous genes. Second, the previously identified Cypriniform D1X sequence is a teleost-specific paralog of the D1B sequences found in all groups of jawed vertebrates. Third, zebrafish and several sauropsid species possess an additional D1-like gene, which is likely to form another orthology group of vertebrate ancestral genes, which we propose to name D1E. Ancestral jawed vertebrates are thus likely to have possessed four classes of D1 receptor genes-D1A, D1B(X), D1C(D), and D1E-which arose from large-scale gene duplications. The D1C receptor gene would have been secondarily lost in the mammalian lineage, whereas the D1E receptor gene would have been lost independently in several lineages of modern vertebrates. The D1A receptors are well conserved throughout jawed vertebrates, whereas sauropsid D1C receptors have rapidly diverged, to the point that they were misidentified as D1D. The functional significance of the D1C receptor loss is not known. It is possible that the function may have been substituted with D1A or D1B receptors in mammals, following the disappearance of D1C receptors in these species.
- Published
- 2013
- Full Text
- View/download PDF
35. Hidden Markov model analysis of maternal behavior patterns in inbred and reciprocal hybrid mice.
- Author
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Carola V, Mirabeau O, and Gross CT
- Subjects
- Animals, Female, Male, Mice, Mice, Inbred BALB C, Mice, Inbred C57BL, Behavior, Animal, Chimera, Crosses, Genetic, Inbreeding, Markov Chains, Maternal Behavior physiology, Models, Biological
- Abstract
Individual variation in maternal care in mammals shows a significant heritable component, with the maternal behavior of daughters resembling that of their mothers. In laboratory mice, genetically distinct inbred strains show stable differences in maternal care during the first postnatal week. Moreover, cross fostering and reciprocal breeding studies demonstrate that differences in maternal care between inbred strains persist in the absence of genetic differences, demonstrating a non-genetic or epigenetic contribution to maternal behavior. In this study we applied a mathematical tool, called hidden Markov model (HMM), to analyze the behavior of female mice in the presence of their young. The frequency of several maternal behaviors in mice has been previously described, including nursing/grooming pups and tending to the nest. However, the ordering, clustering, and transitions between these behaviors have not been systematically described and thus a global description of maternal behavior is lacking. Here we used HMM to describe maternal behavior patterns in two genetically distinct mouse strains, C57BL/6 and BALB/c, and their genetically identical reciprocal hybrid female offspring. HMM analysis is a powerful tool to identify patterns of events that cluster in time and to determine transitions between these clusters, or hidden states. For the HMM analysis we defined seven states: arched-backed nursing, blanket nursing, licking/grooming pups, grooming, activity, eating, and sleeping. By quantifying the frequency, duration, composition, and transition probabilities of these states we were able to describe the pattern of maternal behavior in mouse and identify aspects of these patterns that are under genetic and nongenetic inheritance. Differences in these patterns observed in the experimental groups (inbred and hybrid females) were detected only after the application of HMM analysis whereas classical statistical methods and analyses were not able to highlight them.
- Published
- 2011
- Full Text
- View/download PDF
36. Identification of novel peptide hormones in the human proteome by hidden Markov model screening.
- Author
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Mirabeau O, Perlas E, Severini C, Audero E, Gascuel O, Possenti R, Birney E, Rosenthal N, and Gross C
- Subjects
- Amino Acid Sequence, Animals, Cell Line, DNA Primers, Enteroendocrine Cells metabolism, Humans, Immunohistochemistry, Likelihood Functions, Markov Chains, Mice, Models, Genetic, Molecular Sequence Data, Rats, Algorithms, Computational Biology methods, Peptide Hormones genetics, Peptide Hormones metabolism, Proteome genetics, Proteomics methods
- Abstract
Peptide hormones are small, processed, and secreted peptides that signal via membrane receptors and play critical roles in normal and pathological physiology. The search for novel peptide hormones has been hampered by their small size, low or restricted expression, and lack of sequence similarity. To overcome these difficulties, we developed a bioinformatics search tool based on the hidden Markov model formalism that uses several peptide hormone sequence features to estimate the likelihood that a protein contains a processed and secreted peptide of this class. Application of this tool to an alignment of mammalian proteomes ranked 90% of known peptide hormones among the top 300 proteins. An analysis of the top scoring hypothetical and poorly annotated human proteins identified two novel candidate peptide hormones. Biochemical analysis of the two candidates, which we called spexin and augurin, showed that both were localized to secretory granules in a transfected pancreatic cell line and were recovered from the cell supernatant. Spexin was expressed in the submucosal layer of the mouse esophagus and stomach, and a predicted peptide from the spexin precursor induced muscle contraction in a rat stomach explant assay. Augurin was specifically expressed in mouse endocrine tissues, including pituitary and adrenal gland, choroid plexus, and the atrio-ventricular node of the heart. Our findings demonstrate the utility of a bioinformatics approach to identify novel biologically active peptides. Peptide hormones and their receptors are important diagnostic and therapeutic targets, and our results suggest that spexin and augurin are novel peptide hormones likely to be involved in physiological homeostasis.
- Published
- 2007
- Full Text
- View/download PDF
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