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2. Effectively teaching students with special educational needs (SEN): A template analysis and comparison of mainstream and special education teachers in Flanders.

Author

Delafontaine, J., Aesaert, K., and Nijs, S.

Subjects
*STUDENTS, *SPECIAL education, *TEACHERS, *SEMI-structured interviews, *RESEARCH methodology
Abstract

Numerous teachers face significant challenges teaching students with SEN, possibly stemming from a lack of guidance in translating broad principles formulated in teacher effectiveness frameworks into context-specific effective teaching behaviors. This study addresses this issue by outlining teachers' translations and comparing them across teachers from two classroom settings. Semi-structured interviews were conducted with 12 mainstream and 12 special education teachers and a template analysis revealed: (1) teachers mentioning a multitude of translations, highlighting numerous general effective teaching principles and (2) key differences between the two teacher groups concerning the 'within-class differentiation' and the 'activating or reviewing prior and background knowledge' indicator. • Teachers translate broad didactical principles into context-specific teaching behaviors to meet individual student needs. • Teachers in the field confirm the effectiveness of broad didactical principles for students with SEN. • Special and mainstream education teachers use different effective teaching behaviors to support students with SEN. • Special and mainstream teachers differ in within-classroom differentiation and activating prior or background knowledge. [ABSTRACT FROM AUTHOR]

Published
2024
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3. The SIB Swiss Institute of Bioinformatics' resources: focus on curated databases

Author

Bultet, LA, Aguilar-Rodriguez, J, Ahrens, CH, Ahrne, EL, Ai, N, Aimo, L, Akalin, A, Aleksiev, T, Alocci, D, Altenhoff, A, Alves, I, Ambrosini, G, Pedone, PA, Angelina, P, Anisimova, M, Appel, R, Argoud-Puy, G, Arnold, K, Arpat, B, Artimo, P, Ascencao, K, Auchincloss, A, Axelsen, K, Gerritsen, VB, Bairoch, A, Barisal, P, Baratin, D, Barbato, A, Barbie, V, Barras, D, Barreiro, M, Barret, S, Bastian, F, Batista Neto, TM, Baudis, M, Beaudoing, E, Beckmann, JS, Bekkar, AK, Cammoun, LBH, Benmohammed, S, Bernard, M, Bertelli, C, Bertoni, M, Bienert, S, Bignucolo, O, Bilbao, A, Bilican, A, Blank, D, Blatter, M-C, Blum, L, Bocquet, J, Boeckmann, B, Bolleman, JT, Bordoli, L, Bosshard, L, Boucher, G, Bougueleret, L, Boutet, E, Bovigny, C, Bratulic, S, Breuza, L, Bridge, AJ, Britan, A, Brito, F, Frazao, JB, Bruggmann, R, Bucher, P, Burdet, F, Burger, L, Cabello, EM, Gomez, RMC, Calderon, S, Cannarozzi, G, Carl, S, Casas, CC, Catherinet, S, Perier, RC, Charpilloz, C, Chaskar, PD, Chen, W, Pepe, AC, Chopard, B, Chu, HY, Civic, N, Claassen, M, Clottu, S, Colombo, M, Cosandier, I, Coudert, E, Crespo, I, Creus, M, Cuche, B, Cuendet, MA, Cusin, I, Daga, N, Daina, A, Dauvillier, J, David, F, Davydov, I, Ferreira, MDSRM, de Beer, T, de Castro, E, de Santana, C, Delafontaine, J, Delorenzi, M, Delucinge-Vivier, C, Demirel, O, Derham, R, Dermitzakis, EM, Dib, L, Diene, S, Dilek, N, Dilmi, J, Domagalski, MJ, Dorier, J, Dornevil, D, Dousse, A, Dreos, R, Duchen, P, Roggli, PD, Duperret, ID, Durinx, C, Duvaud, S, Engler, R, Frkek, S, Lopez, PE, Fstreicher, A, Excoffier, L, Fabbretti, R, Falcone, J-L, Falquet, L, Famiglietti, ML, Ferreira, A-M, Feuermann, M, Filliettaz, M, Hegel, V, Foucal, A, Franceschini, A, Fucile, G, Gaidatzis, D, Garcia, V, Gasteiger, E, Gateau, A, Gatti, L, Gaudet, P, Gaudinat, A, Gehant, S, Gfeller, D, Gharib, WH, Ghraichy, M, Gidoin, C, Gil, M, Gleizes, A, Gobeill, J, Gonnet, G, Gos, A, Gotz, L, Gouy, A, Grbic, D, Groux, R, Gruaz-Gumowski, N, Grun, D, Gschwind, A, Guex, N, Gupta, S, Getaz, M, Haake, D, Haas, J, Hatzimanikatis, V, Heckel, G, Gardiol, DFH, Hinard, V, Hinz, U, Homicsko, K, Horlacher, O, Hosseini, S-R, Hotz, H-R, Hulo, C, Hundsrucker, C, Ibberson, M, Ilmjarv, S, Ioannidis, V, Ioannidis, P, Iseli, C, Ivanek, R, Iwaszkiewicz, J, Jacquet, P, Jacquot, M, Jagannathan, V, Jan, M, Jensen, J, Johansson, MU, Johner, N, Jungo, F, Junier, T, Kahraman, A, Katsantoni, M, Keller, G, Kerhornou, A, Khalid, F, Klingbiel, D, Kimljenovic, A, Kriventseva, E, Kryuchkova, N, Kumar, S, Kutalik, Z, Kuznetsov, D, Kuzyakiv, R, Lane, L, Lara, V, Ledesma, L, Leleu, M, Lemercier, P, Lew, D, Lieberherr, D, Liechti, R, Lisacek, F, Fischer, H, Litsios, G, Liu, J, Lombardot, T, Mace, A, Maffioletti, S, Mahi, M-A, Maiolo, M, Majjigapu, SR, Malmstrom, L, Mangold, V, Marek, D, Mariethoz, J, Marin, R, Martin, O, Martin, X, Martin-Campos, T, Mary, C, Masclaux, F, Masson, P, Meier, C, Messina, A, Lenoir, MM, Meyer, X, Michel, P-A, Michielin, O, Milanese, A, Missiaglia, E, Perez, JM, Caria, VM, Moret, P, Moretti, S, Morgat, A, Mottaz, A, Mottin, L, Mouscaz, Y, Mueller, M, Murri, R, Mylonas, R, Neuenschwander, S, Nikitin, F, Niknejad, A, Nouspikel, N, Nso, LN, Okoniewski, M, Omasits, U, Paccaud, B, Pachkov, M, Paesano, SG, Pagni, M, Palagi, PM, Pasche, E, Payne, JL, Pedruzzi, I, Peischl, S, Peitsch, M, Perlini, S, Pilbout, S, Podvinec, M, Pohlmann, R, Polizzi, D, Potter, D, Poux, S, Pozzato, M, Pradervand, S, Praz, V, Pruess, M, Pujadas, E, Racle, J, Raschi, M, Ratib, O, Rausell, A, de Laval, VR, Redaschi, N, Rempfer, C, Ren, G, Vandati, RAR, Rib, L, Grognuz, OR, Altimiras, ER, Rivoire, C, Robin, T, Robinson-Rechavi, M, Rodrigues, J, Roechert, B, Roelli, P, Romano, V, Rossier, G, Roth, A, Rougemont, J, Roux, J, Royo, H, Ruch, P, Ruinelli, M, Rustom, M, Sates, A, Roehrig, UF, Rueeger, S, Salamin, N, Sankar, M, Sarkar, N, Saxenhofer, M, Schaeffer, M, Schaerli, Y, Schaper, E, Schmid, A, Schmid, E, Schmid, C, Schmid, M, Schmidt, S, Schmocker, D, Schneider, M, Schuepbach, T, Schwede, T, Schuetz, F, Sengstag, T, Serrano, M, Sethi, A, Shahmirzadi, O, Sigrist, C, Silvestro, D, Simao Neto, FA, Simillion, C, Simonovic, M, Skunca, N, Sluzek, K, Soneson, C, Sprouffske, K, Stadler, M, Staehli, S, Stevenson, B, Stockinger, H, Straszewski, J, Stricker, T, Studer, G, Stutz, A, Suffiotti, M, Sundaram, S, Szklarczyk, D, Szovenyi, P, Tegenfeldt, F, Teixeira, D, Tellenbach, S, Smith, AAT, Tognolli, M, Topolsky, I, Thuong, VDT, Tsantoulis, P, Tzika, AC, Agote, AU, van Nimwegen, E, von Mering, C, Varadarajan, A, Veranneman, M, Verbregue, L, Veuthey, A-L, Vishnyakova, D, Vyas, R, Wagner, A, Walther, D, Wan, HW, Wang, M, Waterhouse, R, Waterhouse, A, Wicki, A, Wigger, L, Wirapati, P, Witschi, U, Wyder, S, Wyler, K, Wuethrich, D, Xenarios, I, Yamada, K, Yan, Z, Yasrebi, H, Zahn, M, Zangger, N, Zdobnov, E, Zerzion, D, Zoete, V, Zoller, S, Bultet, LA, Aguilar-Rodriguez, J, Ahrens, CH, Ahrne, EL, Ai, N, Aimo, L, Akalin, A, Aleksiev, T, Alocci, D, Altenhoff, A, Alves, I, Ambrosini, G, Pedone, PA, Angelina, P, Anisimova, M, Appel, R, Argoud-Puy, G, Arnold, K, Arpat, B, Artimo, P, Ascencao, K, Auchincloss, A, Axelsen, K, Gerritsen, VB, Bairoch, A, Barisal, P, Baratin, D, Barbato, A, Barbie, V, Barras, D, Barreiro, M, Barret, S, Bastian, F, Batista Neto, TM, Baudis, M, Beaudoing, E, Beckmann, JS, Bekkar, AK, Cammoun, LBH, Benmohammed, S, Bernard, M, Bertelli, C, Bertoni, M, Bienert, S, Bignucolo, O, Bilbao, A, Bilican, A, Blank, D, Blatter, M-C, Blum, L, Bocquet, J, Boeckmann, B, Bolleman, JT, Bordoli, L, Bosshard, L, Boucher, G, Bougueleret, L, Boutet, E, Bovigny, C, Bratulic, S, Breuza, L, Bridge, AJ, Britan, A, Brito, F, Frazao, JB, Bruggmann, R, Bucher, P, Burdet, F, Burger, L, Cabello, EM, Gomez, RMC, Calderon, S, Cannarozzi, G, Carl, S, Casas, CC, Catherinet, S, Perier, RC, Charpilloz, C, Chaskar, PD, Chen, W, Pepe, AC, Chopard, B, Chu, HY, Civic, N, Claassen, M, Clottu, S, Colombo, M, Cosandier, I, Coudert, E, Crespo, I, Creus, M, Cuche, B, Cuendet, MA, Cusin, I, Daga, N, Daina, A, Dauvillier, J, David, F, Davydov, I, Ferreira, MDSRM, de Beer, T, de Castro, E, de Santana, C, Delafontaine, J, Delorenzi, M, Delucinge-Vivier, C, Demirel, O, Derham, R, Dermitzakis, EM, Dib, L, Diene, S, Dilek, N, Dilmi, J, Domagalski, MJ, Dorier, J, Dornevil, D, Dousse, A, Dreos, R, Duchen, P, Roggli, PD, Duperret, ID, Durinx, C, Duvaud, S, Engler, R, Frkek, S, Lopez, PE, Fstreicher, A, Excoffier, L, Fabbretti, R, Falcone, J-L, Falquet, L, Famiglietti, ML, Ferreira, A-M, Feuermann, M, Filliettaz, M, Hegel, V, Foucal, A, Franceschini, A, Fucile, G, Gaidatzis, D, Garcia, V, Gasteiger, E, Gateau, A, Gatti, L, Gaudet, P, Gaudinat, A, Gehant, S, Gfeller, D, Gharib, WH, Ghraichy, M, Gidoin, C, Gil, M, Gleizes, A, Gobeill, J, Gonnet, G, Gos, A, Gotz, L, Gouy, A, Grbic, D, Groux, R, Gruaz-Gumowski, N, Grun, D, Gschwind, A, Guex, N, Gupta, S, Getaz, M, Haake, D, Haas, J, Hatzimanikatis, V, Heckel, G, Gardiol, DFH, Hinard, V, Hinz, U, Homicsko, K, Horlacher, O, Hosseini, S-R, Hotz, H-R, Hulo, C, Hundsrucker, C, Ibberson, M, Ilmjarv, S, Ioannidis, V, Ioannidis, P, Iseli, C, Ivanek, R, Iwaszkiewicz, J, Jacquet, P, Jacquot, M, Jagannathan, V, Jan, M, Jensen, J, Johansson, MU, Johner, N, Jungo, F, Junier, T, Kahraman, A, Katsantoni, M, Keller, G, Kerhornou, A, Khalid, F, Klingbiel, D, Kimljenovic, A, Kriventseva, E, Kryuchkova, N, Kumar, S, Kutalik, Z, Kuznetsov, D, Kuzyakiv, R, Lane, L, Lara, V, Ledesma, L, Leleu, M, Lemercier, P, Lew, D, Lieberherr, D, Liechti, R, Lisacek, F, Fischer, H, Litsios, G, Liu, J, Lombardot, T, Mace, A, Maffioletti, S, Mahi, M-A, Maiolo, M, Majjigapu, SR, Malmstrom, L, Mangold, V, Marek, D, Mariethoz, J, Marin, R, Martin, O, Martin, X, Martin-Campos, T, Mary, C, Masclaux, F, Masson, P, Meier, C, Messina, A, Lenoir, MM, Meyer, X, Michel, P-A, Michielin, O, Milanese, A, Missiaglia, E, Perez, JM, Caria, VM, Moret, P, Moretti, S, Morgat, A, Mottaz, A, Mottin, L, Mouscaz, Y, Mueller, M, Murri, R, Mylonas, R, Neuenschwander, S, Nikitin, F, Niknejad, A, Nouspikel, N, Nso, LN, Okoniewski, M, Omasits, U, Paccaud, B, Pachkov, M, Paesano, SG, Pagni, M, Palagi, PM, Pasche, E, Payne, JL, Pedruzzi, I, Peischl, S, Peitsch, M, Perlini, S, Pilbout, S, Podvinec, M, Pohlmann, R, Polizzi, D, Potter, D, Poux, S, Pozzato, M, Pradervand, S, Praz, V, Pruess, M, Pujadas, E, Racle, J, Raschi, M, Ratib, O, Rausell, A, de Laval, VR, Redaschi, N, Rempfer, C, Ren, G, Vandati, RAR, Rib, L, Grognuz, OR, Altimiras, ER, Rivoire, C, Robin, T, Robinson-Rechavi, M, Rodrigues, J, Roechert, B, Roelli, P, Romano, V, Rossier, G, Roth, A, Rougemont, J, Roux, J, Royo, H, Ruch, P, Ruinelli, M, Rustom, M, Sates, A, Roehrig, UF, Rueeger, S, Salamin, N, Sankar, M, Sarkar, N, Saxenhofer, M, Schaeffer, M, Schaerli, Y, Schaper, E, Schmid, A, Schmid, E, Schmid, C, Schmid, M, Schmidt, S, Schmocker, D, Schneider, M, Schuepbach, T, Schwede, T, Schuetz, F, Sengstag, T, Serrano, M, Sethi, A, Shahmirzadi, O, Sigrist, C, Silvestro, D, Simao Neto, FA, Simillion, C, Simonovic, M, Skunca, N, Sluzek, K, Soneson, C, Sprouffske, K, Stadler, M, Staehli, S, Stevenson, B, Stockinger, H, Straszewski, J, Stricker, T, Studer, G, Stutz, A, Suffiotti, M, Sundaram, S, Szklarczyk, D, Szovenyi, P, Tegenfeldt, F, Teixeira, D, Tellenbach, S, Smith, AAT, Tognolli, M, Topolsky, I, Thuong, VDT, Tsantoulis, P, Tzika, AC, Agote, AU, van Nimwegen, E, von Mering, C, Varadarajan, A, Veranneman, M, Verbregue, L, Veuthey, A-L, Vishnyakova, D, Vyas, R, Wagner, A, Walther, D, Wan, HW, Wang, M, Waterhouse, R, Waterhouse, A, Wicki, A, Wigger, L, Wirapati, P, Witschi, U, Wyder, S, Wyler, K, Wuethrich, D, Xenarios, I, Yamada, K, Yan, Z, Yasrebi, H, Zahn, M, Zangger, N, Zdobnov, E, Zerzion, D, Zoete, V, and Zoller, S

Abstract

The SIB Swiss Institute of Bioinformatics (www.isb-sib.ch) provides world-class bioinformatics databases, software tools, services and training to the international life science community in academia and industry. These solutions allow life scientists to turn the exponentially growing amount of data into knowledge. Here, we provide an overview of SIB's resources and competence areas, with a strong focus on curated databases and SIB's most popular and widely used resources. In particular, SIB's Bioinformatics resource portal ExPASy features over 150 resources, including UniProtKB/Swiss-Prot, ENZYME, PROSITE, neXtProt, STRING, UniCarbKB, SugarBindDB, SwissRegulon, EPD, arrayMap, Bgee, SWISS-MODEL Repository, OMA, OrthoDB and other databases, which are briefly described in this article.

Published
2016

4. Quantifying ChIP-seq data: a spiking method providing an internal reference for sample-to-sample normalization

Author

Bonhoure, N, Bounova, G, Bernasconi, D, Praz, V, Lammers, F, Canella, D, Willis, I M, Herr, W, Hernandez, N, Delorenzi, M, Deplancke, B, Desvergne, B, Guex, N, Naef, F, Rougemont, J, Schibler, U, Andersin, T, Cousin, P, Gilardi, F, Gos, P, Raghav, S, Villeneuve, D, Fabbretti, R, Vlegel, V, Xenarios, I, Migliavacca, E, David, F, Jarosz, Y, Kuznetsov, D, Liechti, R, Martin, O, Delafontaine, J, Cajan, J, Gustafson, K, Krier, I, Leleu, M, Molina, N, Naldi, A, Rib, L, Symul, L, Bonhoure, N, Bounova, G, Bernasconi, D, Praz, V, Lammers, F, Canella, D, Willis, I M, Herr, W, Hernandez, N, Delorenzi, M, Deplancke, B, Desvergne, B, Guex, N, Naef, F, Rougemont, J, Schibler, U, Andersin, T, Cousin, P, Gilardi, F, Gos, P, Raghav, S, Villeneuve, D, Fabbretti, R, Vlegel, V, Xenarios, I, Migliavacca, E, David, F, Jarosz, Y, Kuznetsov, D, Liechti, R, Martin, O, Delafontaine, J, Cajan, J, Gustafson, K, Krier, I, Leleu, M, Molina, N, Naldi, A, Rib, L, and Symul, L

Published
2014

12. Variants in the degron of AFF3 are associated with intellectual disability, mesomelic dysplasia, horseshoe kidney, and epileptic encephalopathy

Author

Rhonda E. Schnur, Fabio Sirchia, Olga Levchenko, Caroline Nava, Jane Juusola, Sarah Verheyen, Marketa Vlckova, Lindsay Rhodes, Gregory M. Cooper, Darina Prchalova, Thomas Courtin, Øystein L. Holla, David Kronn, Akemi J. Tanaka, E. Martina Bebin, Tara Funari, Miroslava Hancarova, Ennio Del Giudice, Nicolas Guex, Astrid Eisenkölbl, Dawn L. Earl, Toshiki Takenouchi, Ursula Gruber-Sedlmayr, Sedlácek Z, Sofia Douzgou, Heidelis A. Seebacher, Gerarda Cappuccio, Jasmin Blatterer, Anna Mikhaleva, Dian Donnai, Wendy K. Chung, Else Merckoll, Natasha J Brown, Elizabeth A. Sellars, Stefan Mundlos, Susan M. Hiatt, Giuliana Giannuzzi, Sinje Geuer, Giuseppina Vitiello, Séverine Lorrain, Alexandre Reymond, David J. Amor, Nicolas Chatron, Julien Delafontaine, Martine Doco, Kristian Tveten, Cecilie F. Rustad, Sylvain Pradervand, Delphine Héron, Alfredo Brusco, Elena L. Dadali, Nicola Brunetti-Pierri, Boris Keren, Yuri A. Zarate, Crystle Lee, Joel Charrow, Binnaz Yalcin, Heidi Taska-Tench, Elin Tønne, Tomoko Uehara, Alexander Lavrov, Jennifer Norman, Norine Voisin, Anna C.E. Hurst, Victoria R. Sanders, Ganka Douglas, Diana Johnson, Kenjiro Kosaki, Université de Lausanne = University of Lausanne (UNIL), Cooper Medical School of Rowan University [Camden] (CMSRU), Manchester University NHS Foundation Trust (MFT), University of Manchester [Manchester], HudsonAlpha Institute for Biotechnology [Huntsville, AL], Oslo University Hospital [Oslo], Victorian Clinical Genetics Services [Melbourne, VIC, Australia] (VCGS), Murdoch Children's Research Institute (MCRI), University of Melbourne, Seattle Children’s Hospital, Groupe de Recherche Clinique : Déficience Intellectuelle et Autisme [ CHU Pitié-Salpêtrière AP-HP] (GRC : DIA), Université Pierre et Marie Curie - Paris 6 (UPMC)-CHU Pitié-Salpêtrière [AP-HP], Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Sorbonne Université (SU)-Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Sorbonne Université (SU), Research Centre for Medical Genetics [Moscow, Russia] (RCMG), Max Planck Institute for Molecular Genetics (MPIMG), Max-Planck-Gesellschaft, Medical University of Graz, Sheffield Children's NHS Foundation Trust, University of Arkansas at Little Rock, Charles University [Prague] (CU), University Hospital Motol [Prague], University of Alabama at Birmingham [ Birmingham] (UAB), Università degli studi di Torino = University of Turin (UNITO), Azienda Ospedalerio - Universitaria Città della Salute e della Scienza di Torino = University Hospital Città della Salute e della Scienza di Torino, University of Naples Federico II = Università degli studi di Napoli Federico II, Ann & Robert H. Lurie Children's Hospital of Chicago, Swiss Institute of Bioinformatics [Lausanne] (SIB), Hémostase et Remodelage Vasculaire Post-Ischémie (HERVI - EA 3801), Université de Reims Champagne-Ardenne (URCA), GeneDx [Gaithersburg, MD, USA], Johannes Kepler University Linz [Linz] (JKU), Telemark Hospital Trust [Skien, Norway], New York Medical College (NYMC), Integris Pediatric Neurology [Oklahoma City, OK, USA] (IPN), Institute for Maternal and Child Health - IRCCS 'Burlo Garofolo' [Trieste], Keio University School of Medicine [Tokyo, Japan], Columbia University [New York], Institut de Génétique et de Biologie Moléculaire et Cellulaire (IGBMC), Université de Strasbourg (UNISTRA)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS), Manchester Centre for Genomic Medicine [Manchester, UK] (MCGM), St Mary's Hospital Manchester-Manchester Academic Health Science Centre (MAHSC), University of Manchester [Manchester]-University of Manchester [Manchester]-Manchester University NHS Foundation Trust (MFT)-Faculty of Biology, Medicine and Health [Manchester, UK], Charité - UniversitätsMedizin = Charité - University Hospital [Berlin], Dupuis, Christine, Voisin, N., Schnur, R. E., Douzgou, S., Hiatt, S. M., Rustad, C. F., Brown, N. J., Earl, D. L., Keren, B., Levchenko, O., Geuer, S., Verheyen, S., Johnson, D., Zarate, Y. A., Hancarova, M., Amor, D. J., Bebin, E. M., Blatterer, J., Brusco, A., Cappuccio, G., Charrow, J., Chatron, N., Cooper, G. M., Courtin, T., Dadali, E., Delafontaine, J., Del Giudice, E., Doco, M., Douglas, G., Eisenkolbl, A., Funari, T., Giannuzzi, G., Gruber-Sedlmayr, U., Guex, N., Heron, D., Holla, O. L., Hurst, A. C. E., Juusola, J., Kronn, D., Lavrov, A., Lee, C., Lorrain, S., Merckoll, E., Mikhaleva, A., Norman, J., Pradervand, S., Prchalova, D., Rhodes, L., Sanders, V. R., Sedlacek, Z., Seebacher, H. A., Sellars, E. A., Sirchia, F., Takenouchi, T., Tanaka, A. J., Taska-Tench, H., Tonne, E., Tveten, K., Vitiello, G., Vlckova, M., Uehara, T., Nava, C., Yalcin, B., Kosaki, K., Donnai, D., Mundlos, S., Brunetti Pierri, N., Chung, W. K., and Reymond, A.

Subjects
Male, Models, Molecular, Hypertrichosis, [SDV]Life Sciences [q-bio], Mesomelic Dysplasia, Transcriptome, Mice, Gene Frequency, Missense mutation, Child, Zebrafish, Genetics (clinical), Genetics, Brain Diseases, 0303 health sciences, biology, Protein Stability, 030305 genetics & heredity, AFF3, AFF4, horseshoe kidney, intellectual disability, mesomelic dysplasia, Nuclear Proteins, Syndrome, Phenotype, Ubiquitin ligase, [SDV] Life Sciences [q-bio], Child, Preschool, Female, Transcriptional Elongation Factors, Adolescent, Mutation, Missense, Osteochondrodysplasias, Article, Evolution, Molecular, Young Adult, 03 medical and health sciences, medicine, Animals, Humans, Amino Acid Sequence, Fused Kidney, 030304 developmental biology, Epilepsy, Infant, Horseshoe kidney, biology.organism_classification, medicine.disease, biology.protein
Abstract

International audience; The ALF transcription factor paralogs, AFF1, AFF2, AFF3, and AFF4, are components of the transcriptional super elongation complex that regulates expression of genes involved in neurogenesis and development. We describe an autosomal dominant disorder associated with de novo missense variants in the degron of AFF3, a nine amino acid sequence important for its binding to ubiquitin ligase, or with de novo deletions of this region. The sixteen affected individuals we identified, along with two previously reported individuals, present with a recognizable pattern of anomalies, which we named KINSSHIP syndrome (KI for horseshoe kidney, NS for Nievergelt/Savarirayan type of mesomelic dysplasia, S for seizures, H for hypertrichosis, I for intellectual disability, and P for pulmonary involvement), partially overlapping the AFF4-associated CHOPS syndrome. Whereas homozygous Aff3 knockout mice display skeletal anomalies, kidney defects, brain malformations, and neurological anomalies, knockin animals modeling one of the microdeletions and the most common of the missense variants identified in affected individuals presented with lower mesomelic limb deformities like KINSSHIP-affected individuals and early lethality, respectively. Overexpression of AFF3 in zebrafish resulted in body axis anomalies, providing some support for the pathological effect of increased amount of AFF3. The only partial phenotypic overlap of AFF3-and AFF4-associated syndromes and the previously published transcriptome analyses of ALF transcription factors suggest that these factors are not redundant and each contributes uniquely to proper development.

Published
2021
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13. Differential regulation of RNA polymerase III genes during liver regeneration

Author

Meghdad Yeganeh, Cristian Carmeli, Dominic Villeneuve, Mauro Delorenzi, Winship Herr, Leonor Rib, Nouria Hernandez, Viviane Praz, Nicolas Guex, CycliX consortium, Hernandez, N., Delorenzi, M., Deplancke, B., Desvergne, B., Guex, N., Herr, W., Naef, F., Rougemont, J., Schibler, U., Andersin, T., Cousin, P., Gilardi, F., Gos, P., Lammers, F., Lopes, M., Mange, F., Minocha, S., Raghav, S., Villeneuve, D., Fabbretti, R., Vlegel, V., Xenarios, I., Migliavacca, E., Praz, V., David, F., Jarosz, Y., Kuznetsov, D., Liechti, R., Martin, O., Delafontaine, J., Cajan, J., Carmeli, C., Gustafson, K., Krier, I., Leleu, M., Molina, N., Naldi, A., Rib, L., Sobel, J., Symul, L., Bounova, G., and Jacquet, P.

Subjects
Chromatin Immunoprecipitation, Transcription, Genetic, DNA polymerase, DNA polymerase II, viruses, RNA polymerase II, RNA polymerase III, Histones, Mice, 03 medical and health sciences, 0302 clinical medicine, Transcription (biology), Genetics, Animals, Hepatectomy, Humans, Gene, 030304 developmental biology, 0303 health sciences, biology, Cell Cycle, Gene regulation, Chromatin and Epigenetics, Gene Expression Regulation, Developmental, RNA Polymerase III, Histone-Lysine N-Methyltransferase, Liver regeneration, Liver Regeneration, Housekeeping gene, Cell biology, Liver, biology.protein, RNA Polymerase II, Cell Division, 030217 neurology & neurosurgery, Protein Binding
Abstract

Mouse liver regeneration after partial hepatectomy involves cells in the remaining tissue synchronously entering the cell division cycle. We have used this system and H3K4me3, Pol II and Pol III profiling to characterize adaptations in Pol III transcription. Our results broadly define a class of genes close to H3K4me3 and Pol II peaks, whose Pol III occupancy is high and stable, and another class, distant from Pol II peaks, whose Pol III occupancy strongly increases after partial hepatectomy. Pol III regulation in the liver thus entails both highly expressed housekeeping genes and genes whose expression can adapt to increased demand.

Published
2019

14. Quantifying ChIP-seq data: a spiking method providing an internal reference for sample-to-sample normalization

Author

Bonhoure, Nicolas, Bounova, Gergana, Bernasconi, David, Praz, Viviane, Lammers, Fabienne, Canella, Donatella, Willis, Ian M., Herr, Winship, Hernandez, Nouria, Delorenzi, Mauro, Deplancke, Bart, Desvergne, Béatrice, Guex, Nicolas, Naef, Felix, Rougemont, Jacques, Schibler, Ueli, Andersin, Teemu, Cousin, Pascal, Gilardi, Federica, Gos, Pascal, Raghav, Sunil, Villeneuve, Dominic, Fabbretti, Roberto, Vlegel, Volker, Xenarios, Ioannis, Migliavacca, Eugenia, David, Fabrice, Jarosz, Yohan, Kuznetsov, Dmitry, Liechti, Robin, Martin, Olivier, Delafontaine, Julien, Cajan, Julia, Gustafson, Kyle, Krier, Irina, Leleu, Marion, Molina, Nacho, Naldi, Aurélien, Rib, Leonor, Symul, Laura, CycliX Consortium, Hernandez, N., Delorenzi, M., Deplancke, B., Desvergne, B., Guex, N., Herr, W., Naef, F., Rougemont, J., Schibler, U., Andersin, T., Cousin, P., Gilardi, F., Gos, P., Lammers, F., Raghav, S., Villeneuve, D., Fabbretti, R., Vlegel, V., Xenarios, I., Migliavacca, E., Praz, V., David, F., Jarosz, Y., Kuznetsov, D., Liechti, R., Martin, O., Delafontaine, J., Cajan, J., Gustafson, K., Krier, I., Leleu, M., Molina, N., Naldi, A., Rib, L., Symul, L., Bounova, G., University of Zurich, and Hernandez, N

Subjects
Quality Control, Normalization (statistics), 2716 Genetics (clinical), Chromatin Immunoprecipitation, Occupancy, SX20 Research, Technology and Development Projects, Immunoprecipitation, Sample (material), Method, Biology, Mice, 03 medical and health sciences, 0302 clinical medicine, SX00 SystemsX.ch, 1311 Genetics, Genetics, Animals, Humans, Genetics(clinical), SX04 CycliX, Genetics (clinical), 030304 developmental biology, Quantile normalization, 0303 health sciences, Computational Biology, High-Throughput Nucleotide Sequencing, Reproducibility of Results, Reference Standards, Chromatin, 570 Life sciences, biology, Spike (software development), Biological system, Chromatin immunoprecipitation, 030217 neurology & neurosurgery
Abstract

Chromatin immunoprecipitation followed by deep sequencing (ChIP-seq) experiments are widely used to determine, within entire genomes, the occupancy sites of any protein of interest, including, for example, transcription factors, RNA polymerases, or histones with or without various modifications. In addition to allowing the determination of occupancy sites within one cell type and under one condition, this method allows, in principle, the establishment and comparison of occupancy maps in various cell types, tissues, and conditions. Such comparisons require, however, that samples be normalized. Widely used normalization methods that include a quantile normalization step perform well when factor occupancy varies at a subset of sites, but may miss uniform genome-wide increases or decreases in site occupancy. We describe a spike adjustment procedure (SAP) that, unlike commonly used normalization methods intervening at the analysis stage, entails an experimental step prior to immunoprecipitation. A constant, low amount from a single batch of chromatin of a foreign genome is added to the experimental chromatin. This “spike” chromatin then serves as an internal control to which the experimental signals can be adjusted. We show that the method improves similarity between replicates and reveals biological differences including global and largely uniform changes.

Published
2014
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15. Rhythmic Changes in Gene Activation Power the Circadian Clock

Author

Gwendal Le Martelot, Donatella Canella, Laura Symul, Eugenia Migliavacca, Federica Gilardi, Robin Liechti, Olivier Martin, Keith Harshman, Mauro Delorenzi, Béatrice Desvergne, Winship Herr, Bart Deplancke, Ueli Schibler, Jacques Rougemont, Nicolas Guex, Nouria Hernandez, Felix Naef, CycliX Consortium, University of Zurich, Hernandez, Nouria, CycliX Consortium, Hernandez, N., Delorenzi, M., Deplancke, B., Desvergne, B., Guex, N., Herr, W., Naef, F., Rougemont, J., Schibler, U., Andersin, T., Cousin, P., Gilardi, F., Gos, P., Le Martelot, G., Lammers, F., Canella, D., Raghav, S., Fabbretti, R., Fortier, A., Long, L., Vlegel, V., Xenarios, I., Migliavacca, E., Praz, V., David, F., Jarosz, Y., Kuznetsov, D., Liechti, R., Martin, O., Delafontaine, J., Sinclair, L., Cajan, J., Krier, I., Leleu, M., Molina, N., Naldi, A., Rey, G., Symul, L., and Bernasconi, D.

Subjects
Male, Time Factors, Transcription, Genetic, Circadian clock, RNA polymerase II, Biochemistry, Epigenesis, Genetic, Histones, Mice, 0302 clinical medicine, SX00 SystemsX.ch, Transcription (biology), 2400 General Immunology and Microbiology, Gene expression, Molecular Cell Biology, Transcriptional regulation, RNA Processing, Post-Transcriptional, Biology (General), Promoter Regions, Genetic, Regulation of gene expression, Genetics, 0303 health sciences, Reverse Transcriptase Polymerase Chain Reaction, General Neuroscience, Systems Biology, 2800 General Neuroscience, Genomics, Chromatin, Circadian Rhythm, Liver, DNA methylation, Synopsis, RNA Polymerase II, Transcription Initiation Site, General Agricultural and Biological Sciences, Half-Life, Research Article, Chromatin Immunoprecipitation, SX20 Research, Technology and Development Projects, QH301-705.5, E-box, 1100 General Agricultural and Biological Sciences, Biology, General Biochemistry, Genetics and Molecular Biology, 03 medical and health sciences, Rhythm, 1300 General Biochemistry, Genetics and Molecular Biology, Animals, Circadian rhythm, RNA, Messenger, SX04 CycliX, Gene, Post-transcriptional regulation, 030304 developmental biology, Chromatin Assembly and Disassembly, DNA Methylation, Histones/genetics, Histones/metabolism, Kinetics, Liver/cytology, Liver/metabolism, Mice, Inbred C57BL, Models, Genetic, RNA Polymerase II/genetics, RNA Polymerase II/metabolism, RNA, Messenger/analysis, RNA, Messenger/metabolism, Transcriptome, General Immunology and Microbiology, Computational Biology, Promoter, biology.protein, 570 Life sciences, biology, Chromatin immunoprecipitation, Neuroscience, 030217 neurology & neurosurgery
Abstract

Genome-wide rhythms in RNA polymerase II loading and dynamic chromatin remodeling underlie periodic gene expression during diurnal cycles in the mouse liver., Interactions of cell-autonomous circadian oscillators with diurnal cycles govern the temporal compartmentalization of cell physiology in mammals. To understand the transcriptional and epigenetic basis of diurnal rhythms in mouse liver genome-wide, we generated temporal DNA occupancy profiles by RNA polymerase II (Pol II) as well as profiles of the histone modifications H3K4me3 and H3K36me3. We used these data to quantify the relationships of phases and amplitudes between different marks. We found that rhythmic Pol II recruitment at promoters rather than rhythmic transition from paused to productive elongation underlies diurnal gene transcription, a conclusion further supported by modeling. Moreover, Pol II occupancy preceded mRNA accumulation by 3 hours, consistent with mRNA half-lives. Both methylation marks showed that the epigenetic landscape is highly dynamic and globally remodeled during the 24-hour cycle. While promoters of transcribed genes had tri-methylated H3K4 even at their trough activity times, tri-methylation levels reached their peak, on average, 1 hour after Pol II. Meanwhile, rhythms in tri-methylation of H3K36 lagged transcription by 3 hours. Finally, modeling profiles of Pol II occupancy and mRNA accumulation identified three classes of genes: one showing rhythmicity both in transcriptional and mRNA accumulation, a second class with rhythmic transcription but flat mRNA levels, and a third with constant transcription but rhythmic mRNAs. The latter class emphasizes widespread temporally gated posttranscriptional regulation in the mouse liver., Author Summary In mammalian organs such as the liver, many metabolic and physiological processes occur preferentially at specific times during the 24-hour daily cycle. The timing of these rhythmic functions depends on a complex interplay between the endogenous circadian clock and environmental timing cues relayed through the master circadian clock in the suprachiasmatic nucleus, or via feeding rhythms. These rhythms can be implemented on several regulatory levels, and here we aimed at a better understanding of the transcriptional and epigenetic changes that regulate diurnal rhythms. We performed genome-wide analysis of the locations of RNA polymerase II (Pol II) and the epigenetic histone modifications H3K4me3 and H3K36me3 at specific times of day, relating these data to mRNA expression levels. Our analyses show that Pol II transcriptional rhythms are biphasic in mouse liver, having predominant peak activities in the morning and evening. Moreover, dynamic changes in histone marks lag transcription rhythms genome-wide, indicating that the epigenetic landscape can be remodeled during the 24-hour cycle. Finally, a quantitative analysis of temporal Pol II and mRNA accumulation profiles indicates that posttranscriptional regulation significantly contributes to the amplitude and phase of mRNA accumulation profiles. While many studies have analyzed how transcription and chromatin states are modified during irreversible cell differentiation processes, our work highlights how these states can evolve reversibly in a system exhibiting periodicity in time.

Published
2012

16. Genome-Wide Analysis of SREBP1 Activity around the Clock Reveals Its Combined Dependency on Nutrient and Circadian Signals

Author

Felix Naef, Bart Deplancke, Laura Symul, Dmitry Kuznetsov, Aurélien Naldi, Winship Herr, Ioannis Xenarios, Nouria Hernandez, Federica Gilardi, Nicolas GUEX, Beatrice Desvergne, Guillaume Rey, CycliX Consortium, Hernandez, N., Delorenzi, M., Deplancke, B., Desvergne, B., Guex, N., Herr, W., Naef, F., Rougemont, J., Schibler, U., Andersin, T., Cousin, P., Gilardi, F., Gos, P., Martelot, G., Lammers, F., Canella, D., Raghav, S., Fabbretti, R., Fortier, A., Long, L., Vlegel, V., Xenarios, I., Migliavacca, E., Praz, V., David, F., Jarosz, Y., Kuznetsov, D., Liechti, R., Martin, O., Delafontaine, J., Sinclair, L., Cajan, J., Krier, I., Leleu, M., Molina, N., Naldi, A., Rey, G., Symul, L., Bernasconi, D., Baruchet, M., University of Zurich, and Guex, Nicolas

Subjects
2716 Genetics (clinical), Cancer Research, lcsh:QH426-470, SX20 Research, Technology and Development Projects, Circadian clock, CLOCK Proteins, Biology, Mice, SX00 SystemsX.ch, 1311 Genetics, Circadian Clocks, 1312 Molecular Biology, Genetics, Transcriptional regulation, Animals, Homeostasis, 1306 Cancer Research, Circadian rhythm, SX04 CycliX, Molecular Biology, Transcription factor, Genetics (clinical), Ecology, Evolution, Behavior and Systematics, Regulation of gene expression, Binding Sites, Genome, Lipid Metabolism, Bacterial circadian rhythms, Circadian Rhythm, Sterol regulatory element-binding protein, Cell biology, lcsh:Genetics, 1105 Ecology, Evolution, Behavior and Systematics, Gene Expression Regulation, Hepatocyte Nuclear Factor 4, 570 Life sciences, biology, Sterol Regulatory Element Binding Protein 1, Protein Binding, Research Article
Abstract

In mammals, the circadian clock allows them to anticipate and adapt physiology around the 24 hours. Conversely, metabolism and food consumption regulate the internal clock, pointing the existence of an intricate relationship between nutrient state and circadian homeostasis that is far from being understood. The Sterol Regulatory Element Binding Protein 1 (SREBP1) is a key regulator of lipid homeostasis. Hepatic SREBP1 function is influenced by the nutrient-response cycle, but also by the circadian machinery. To systematically understand how the interplay of circadian clock and nutrient-driven rhythm regulates SREBP1 activity, we evaluated the genome-wide binding of SREBP1 to its targets throughout the day in C57BL/6 mice. The recruitment of SREBP1 to the DNA showed a highly circadian behaviour, with a maximum during the fed status. However, the temporal expression of SREBP1 targets was not always synchronized with its binding pattern. In particular, different expression phases were observed for SREBP1 target genes depending on their function, suggesting the involvement of other transcription factors in their regulation. Binding sites for Hepatocyte Nuclear Factor 4 (HNF4) were specifically enriched in the close proximity of SREBP1 peaks of genes, whose expression was shifted by about 8 hours with respect to SREBP1 binding. Thus, the cross-talk between hepatic HNF4 and SREBP1 may underlie the expression timing of this subgroup of SREBP1 targets. Interestingly, the proper temporal expression profile of these genes was dramatically changed in Bmal1 −/− mice upon time-restricted feeding, for which a rhythmic, but slightly delayed, binding of SREBP1 was maintained. Collectively, our results show that besides the nutrient-driven regulation of SREBP1 nuclear translocation, a second layer of modulation of SREBP1 transcriptional activity, strongly dependent from the circadian clock, exists. This system allows us to fine tune the expression timing of SREBP1 target genes, thus helping to temporally separate the different physiological processes in which these genes are involved., Author Summary Circadian rhythmicity is part of our innate behavior and controls many physiological processes, such as sleeping and waking, activity, neurotransmitter production and a number of metabolic pathways. In mammals, the central circadian pacemaker in the hypothalamus is entrained on a daily basis by environmental cues (i.e. light), thus setting the period length and synchronizing the rhythms of all cells in the body. In the last decades, numerous investigations have highlighted the importance of the internal timekeeping mechanism for maintenance of organism health and longevity. Indeed, the reciprocal regulation of circadian clock and metabolism is now commonly accepted, although still poorly understood at the molecular level. Our global analysis of DNA binding along the day of Sterol Regulatory Element Binding Protein 1 (SREBP1), a key regulator of lipid biosynthesis, represents the first tool to comprehensively explore how its activity is connected to circadian-driven regulatory events. We show that the regulation of SREBP1 action by nutrients relies mainly on the control of its subcellular localization, while the circadian clock influences the promoter specific activity of SREBP1 within the nucleus. Furthermore, we identify the Hepatocyte Nuclear Factor 4 (HNF4) as a putative player in the cross-talk between molecular clock and metabolic regulation.

Published
2014
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17. Variants in the degron of AFF3 are associated with intellectual disability, mesomelic dysplasia, horseshoe kidney, and epileptic encephalopathy.

Author

Voisin N, Schnur RE, Douzgou S, Hiatt SM, Rustad CF, Brown NJ, Earl DL, Keren B, Levchenko O, Geuer S, Verheyen S, Johnson D, Zarate YA, Hančárová M, Amor DJ, Bebin EM, Blatterer J, Brusco A, Cappuccio G, Charrow J, Chatron N, Cooper GM, Courtin T, Dadali E, Delafontaine J, Del Giudice E, Doco M, Douglas G, Eisenkölbl A, Funari T, Giannuzzi G, Gruber-Sedlmayr U, Guex N, Heron D, Holla ØL, Hurst ACE, Juusola J, Kronn D, Lavrov A, Lee C, Lorrain S, Merckoll E, Mikhaleva A, Norman J, Pradervand S, Prchalová D, Rhodes L, Sanders VR, Sedláček Z, Seebacher HA, Sellars EA, Sirchia F, Takenouchi T, Tanaka AJ, Taska-Tench H, Tønne E, Tveten K, Vitiello G, Vlčková M, Uehara T, Nava C, Yalcin B, Kosaki K, Donnai D, Mundlos S, Brunetti-Pierri N, Chung WK, and Reymond A

Subjects
Adolescent, Amino Acid Sequence, Animals, Brain Diseases etiology, Child, Child, Preschool, Epilepsy complications, Evolution, Molecular, Female, Gene Frequency, Humans, Infant, Male, Mice, Models, Molecular, Nuclear Proteins chemistry, Nuclear Proteins deficiency, Phenotype, Protein Stability, Syndrome, Transcriptional Elongation Factors chemistry, Transcriptional Elongation Factors genetics, Young Adult, Zebrafish genetics, Brain Diseases genetics, Epilepsy genetics, Fused Kidney genetics, Intellectual Disability genetics, Mutation, Missense, Nuclear Proteins genetics, Osteochondrodysplasias genetics
Abstract

The ALF transcription factor paralogs, AFF1, AFF2, AFF3, and AFF4, are components of the transcriptional super elongation complex that regulates expression of genes involved in neurogenesis and development. We describe an autosomal dominant disorder associated with de novo missense variants in the degron of AFF3, a nine amino acid sequence important for its binding to ubiquitin ligase, or with de novo deletions of this region. The sixteen affected individuals we identified, along with two previously reported individuals, present with a recognizable pattern of anomalies, which we named KINSSHIP syndrome (KI for horseshoe kidney, NS for Nievergelt/Savarirayan type of mesomelic dysplasia, S for seizures, H for hypertrichosis, I for intellectual disability, and P for pulmonary involvement), partially overlapping the AFF4-associated CHOPS syndrome. Whereas homozygous Aff3 knockout mice display skeletal anomalies, kidney defects, brain malformations, and neurological anomalies, knockin animals modeling one of the microdeletions and the most common of the missense variants identified in affected individuals presented with lower mesomelic limb deformities like KINSSHIP-affected individuals and early lethality, respectively. Overexpression of AFF3 in zebrafish resulted in body axis anomalies, providing some support for the pathological effect of increased amount of AFF3. The only partial phenotypic overlap of AFF3- and AFF4-associated syndromes and the previously published transcriptome analyses of ALF transcription factors suggest that these factors are not redundant and each contributes uniquely to proper development., (Copyright © 2021 American Society of Human Genetics. Published by Elsevier Inc. All rights reserved.)

Published
2021
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18. KIAA1109 Variants Are Associated with a Severe Disorder of Brain Development and Arthrogryposis.

Author

Gueneau L, Fish RJ, Shamseldin HE, Voisin N, Tran Mau-Them F, Preiksaitiene E, Monroe GR, Lai A, Putoux A, Allias F, Ambusaidi Q, Ambrozaityte L, Cimbalistienė L, Delafontaine J, Guex N, Hashem M, Kurdi W, Jamuar SS, Ying LJ, Bonnard C, Pippucci T, Pradervand S, Roechert B, van Hasselt PM, Wiederkehr M, Wright CF, Xenarios I, van Haaften G, Shaw-Smith C, Schindewolf EM, Neerman-Arbez M, Sanlaville D, Lesca G, Guibaud L, Reversade B, Chelly J, Kučinskas V, Alkuraya FS, and Reymond A

Subjects
Adolescent, Animals, Brain diagnostic imaging, Brain pathology, Child, Female, Gene Knockdown Techniques, Humans, Infant, Infant, Newborn, Magnetic Resonance Imaging, Male, Pedigree, Zebrafish, Zebrafish Proteins genetics, Arthrogryposis genetics, Brain embryology, Mutation genetics, Proteins genetics
Abstract

Whole-exome and targeted sequencing of 13 individuals from 10 unrelated families with overlapping clinical manifestations identified loss-of-function and missense variants in KIAA1109 allowing delineation of an autosomal-recessive multi-system syndrome, which we suggest to name Alkuraya-Kučinskas syndrome (MIM 617822). Shared phenotypic features representing the cardinal characteristics of this syndrome combine brain atrophy with clubfoot and arthrogryposis. Affected individuals present with cerebral parenchymal underdevelopment, ranging from major cerebral parenchymal thinning with lissencephalic aspect to moderate parenchymal rarefaction, severe to mild ventriculomegaly, cerebellar hypoplasia with brainstem dysgenesis, and cardiac and ophthalmologic anomalies, such as microphthalmia and cataract. Severe loss-of-function cases were incompatible with life, whereas those individuals with milder missense variants presented with severe global developmental delay, syndactyly of 2 nd and 3 rd toes, and severe muscle hypotonia resulting in incapacity to stand without support. Consistent with a causative role for KIAA1109 loss-of-function/hypomorphic variants in this syndrome, knockdowns of the zebrafish orthologous gene resulted in embryos with hydrocephaly and abnormally curved notochords and overall body shape, whereas published knockouts of the fruit fly and mouse orthologous genes resulted in lethality or severe neurological defects reminiscent of the probands' features., (Copyright © 2017 The Authors. Published by Elsevier Inc. All rights reserved.)

Published
2018
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19. Functional characterization of the TERRA transcriptome at damaged telomeres.

Author

Porro A, Feuerhahn S, Delafontaine J, Riethman H, Rougemont J, and Lingner J

Subjects
DNA Damage, Gene Expression Profiling, HeLa Cells, Histone Acetyltransferases metabolism, Humans, Lysine Acetyltransferase 5, Methyltransferases metabolism, Protein Structure, Tertiary, Repressor Proteins metabolism, Up-Regulation, RNA, Long Noncoding metabolism, Telomere metabolism, Telomeric Repeat Binding Protein 2 metabolism, Transcriptome
Abstract

Telomere deprotection occurs during tumorigenesis and aging upon telomere shortening or loss of the telomeric shelterin component TRF2. Deprotected telomeres undergo changes in chromatin structure and elicit a DNA damage response (DDR) that leads to cellular senescence. The telomeric long noncoding RNA TERRA has been implicated in modulating the structure and processing of deprotected telomeres. Here, we characterize the human TERRA transcriptome at normal and TRF2-depleted telomeres and demonstrate that TERRA upregulation is occurring upon depletion of TRF2 at all transcribed telomeres. TRF2 represses TERRA transcription through its homodimerization domain, which was previously shown to induce chromatin compaction and to prevent the early steps of DDR activation. We show that TERRA associates with SUV39H1 H3K9 histone methyltransferase, which promotes accumulation of H3K9me3 at damaged telomeres and end-to-end fusions. Altogether our data elucidate the TERRA landscape and defines critical roles for this RNA in the telomeric DNA damage response.

Published
2014
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20. HTSstation: a web application and open-access libraries for high-throughput sequencing data analysis.

Author

David FP, Delafontaine J, Carat S, Ross FJ, Lefebvre G, Jarosz Y, Sinclair L, Noordermeer D, Rougemont J, and Leleu M

Subjects
Genes, Homeobox genetics, Multigene Family genetics, Mycobacterium leprae physiology, Phylogeography, Computational Biology methods, Gene Library, High-Throughput Nucleotide Sequencing methods, Internet, Software
Abstract

The HTSstation analysis portal is a suite of simple web forms coupled to modular analysis pipelines for various applications of High-Throughput Sequencing including ChIP-seq, RNA-seq, 4C-seq and re-sequencing. HTSstation offers biologists the possibility to rapidly investigate their HTS data using an intuitive web application with heuristically pre-defined parameters. A number of open-source software components have been implemented and can be used to build, configure and run HTS analysis pipelines reactively. Besides, our programming framework empowers developers with the possibility to design their own workflows and integrate additional third-party software. The HTSstation web application is accessible at http://htsstation.epfl.ch.

Published
2014
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21. [Anesthetic risks in thoracic surgery].

Author

LE BRIGAND H, LEFEBVRE DE HERRERA O, and LEQUESNE-DELAFONTAINE J

Subjects
Humans, Anesthesia, Anesthesiology, Anesthetics, Thoracic Surgery, Thorax surgery
Published
1954

22. Soot kymograph.

Author

FLEISCH A and DELAFONTAINE J

Subjects
Humans, Smoke, Nicotiana
Published
1949

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