36 results on '"Kerstens, Hindrik H. D."'
Search Results
2. FAIR Genomes metadata schema promoting Next Generation Sequencing data reuse in Dutch healthcare and research
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van der Velde, K. Joeri, Singh, Gurnoor, Kaliyaperumal, Rajaram, Liao, XiaoFeng, de Ridder, Sander, Rebers, Susanne, Kerstens, Hindrik H. D., de Andrade, Fernanda, van Reeuwijk, Jeroen, De Gruyter, Fini E., Hiltemann, Saskia, Ligtvoet, Maarten, Weiss, Marjan M., van Deutekom, Hanneke W. M., Jansen, Anne M. L., Stubbs, Andrew P., Vissers, Lisenka E. L. M., Laros, Jeroen F. J., van Enckevort, Esther, Stemkens, Daphne, ‘t Hoen, Peter A. C., Beliën, Jeroen A. M., van Gijn, Mariëlle E., and Swertz, Morris A.
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- 2022
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3. An organoid biobank for childhood kidney cancers that captures disease and tissue heterogeneity
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Calandrini, Camilla, Schutgens, Frans, Oka, Rurika, Margaritis, Thanasis, Candelli, Tito, Mathijsen, Luka, Ammerlaan, Carola, van Ineveld, Ravian L., Derakhshan, Sepide, de Haan, Sanne, Dolman, Emmy, Lijnzaad, Philip, Custers, Lars, Begthel, Harry, Kerstens, Hindrik H. D., Visser, Lindy L., Rookmaaker, Maarten, Verhaar, Marianne, Tytgat, Godelieve A. M., Kemmeren, Patrick, de Krijger, Ronald R., Al-Saadi, Reem, Pritchard-Jones, Kathy, Kool, Marcel, Rios, Anne C., van den Heuvel-Eibrink, Marry M., Molenaar, Jan J., van Boxtel, Ruben, Holstege, Frank C. P., Clevers, Hans, and Drost, Jarno
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- 2020
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4. Allele-specific RNA-seq expression profiling of imprinted genes in mouse isogenic pluripotent states
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Dirks, René A. M., van Mierlo, Guido, Kerstens, Hindrik H. D., Bernardo, Andreia S., Kobolák, Julianna, Bock, István, Maruotti, Julien, Pedersen, Roger A., Dinnyés, András, Huynen, Martijn A., Jouneau, Alice, and Marks, Hendrik
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- 2019
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5. Additional file 1 of Systematic discovery of gene fusions in pediatric cancer by integrating RNA-seq and WGS
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van Belzen, Ianthe A. E. M., Cai, Casey, van Tuil, Marc, Badloe, Shashi, Strengman, Eric, Janse, Alex, Verwiel, Eugène T. P., van der Leest, Douwe F. M., Kester, Lennart, Molenaar, Jan J., Meijerink, Jules, Drost, Jarno, Peng, Weng Chuan, Kerstens, Hindrik H. D., Tops, Bastiaan B. J., Holstege, Frank C. P., Kemmeren, Patrick, and Hehir-Kwa, Jayne Y.
- Abstract
Additional file 1: Supplementary material. Supplementary Methods. Supplementary Results. Figure S1. Gene fusions supported by one or more SV tools. Figure S2. Allele fraction of distinct fusions per SV type. Figure S3. Filtering predicted gene fusions to a high confidence subset. Figure S4. High gene fusion burden is associated with copy number instability. Figure S5. Osteosarcomas with TP53 gene fusion. Figure S6. Potentially pathogenic gene fusion candidates in individual patients. Figure S7. HOXA9 gene expression and gene fusion status. Figure S8. Association between ZBTB20 gene expression and survival. Figure S9. Co-occurring fusions and SNVs indicative of TSG disruption. Figure S10. MTAP--CDKN2B-AS1 fusions and associated expression changes of CDKNB-AS1 and CDKN2A. References for supplementary methods and results.
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- 2023
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6. Molecular Characterization Reveals Subclasses of 1q Gain in Intermediate Risk Wilms Tumors
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van Belzen, Ianthe A. E. M., primary, van Tuil, Marc, additional, Badloe, Shashi, additional, Strengman, Eric, additional, Janse, Alex, additional, Verwiel, Eugène T. P., additional, van der Leest, Douwe F. M., additional, de Vos, Sam, additional, Baker-Hernandez, John, additional, Groenendijk, Alissa, additional, de Krijger, Ronald, additional, Kerstens, Hindrik H. D., additional, Drost, Jarno, additional, van den Heuvel-Eibrink, Marry M., additional, Tops, Bastiaan B. J., additional, Holstege, Frank C. P., additional, Kemmeren, Patrick, additional, and Hehir-Kwa, Jayne Y., additional
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- 2022
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7. Transcriptional diversity during lineage commitment of human blood progenitors
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Chen, Lu, Kostadima, Myrto, Martens, Joost H. A., Canu, Giovanni, Garcia, Sara P., Turro, Ernest, Downes, Kate, Macaulay, Iain C., Bielczyk-Maczynska, Ewa, Coe, Sophia, Farrow, Samantha, Poudel, Pawan, Burden, Frances, Jansen, Sjoert B. G., Astle, William J., Attwood, Antony, Bariana, Tadbir, de Bono, Bernard, Breschi, Alessandra, Chambers, John C., Consortium, BRIDGE, Choudry, Fizzah A., Clarke, Laura, Coupland, Paul, van der Ent, Martijn, Erber, Wendy N., Jansen, Joop H., Favier, Rémi, Fenech, Matthew E., Foad, Nicola, Freson, Kathleen, van Geet, Chris, Gomez, Keith, Guigo, Roderic, Hampshire, Daniel, Kelly, Anne M., Kerstens, Hindrik H. D., Kooner, Jaspal S., Laffan, Michael, Lentaigne, Claire, Labalette, Charlotte, Martin, Tiphaine, Meacham, Stuart, Mumford, Andrew, Nürnberg, Sylvia, Palumbo, Emilio, van der Reijden, Bert A., Richardson, David, Sammut, Stephen J., Slodkowicz, Greg, Tamuri, Asif U., Vasquez, Louella, Voss, Katrin, Watt, Stephen, Westbury, Sarah, Flicek, Paul, Loos, Remco, Goldman, Nick, Bertone, Paul, Read, Randy J., Richardson, Sylvia, Cvejic, Ana, Soranzo, Nicole, Ouwehand, Willem H., Stunnenberg, Hendrik G., Frontini, Mattia, and Rendon, Augusto
- Published
- 2014
8. Epigenetic programming of monocyte-to-macrophage differentiation and trained innate immunity
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Saeed, Sadia, Quintin, Jessica, Kerstens, Hindrik H. D., Rao, Nagesha A., Aghajanirefah, Ali, Matarese, Filomena, Cheng, Shih-Chin, Ratter, Jacqueline, Berentsen, Kim, van der Ent, Martijn A., Sharifi, Nilofar, Janssen-Megens, Eva M., Ter Huurne, Menno, Mandoli, Amit, van Schaik, Tom, Ng, Aylwin, Burden, Frances, Downes, Kate, Frontini, Mattia, Kumar, Vinod, Giamarellos-Bourboulis, Evangelos J., Ouwehand, Willem H., van der Meer, Jos W. M., Joosten, Leo A. B., Wijmenga, Cisca, Martens, Joost H. A., Xavier, Ramnik J., Logie, Colin, Netea, Mihai G., and Stunnenberg, Hendrik G.
- Published
- 2014
9. FAIR Genomes metadata schema promoting Next Generation Sequencing data reuse in Dutch healthcare and research
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Genetica Medische Informatica, Pathologie Moleculair, Infection & Immunity, van der Velde, K Joeri, Singh, Gurnoor, Kaliyaperumal, Rajaram, Liao, XiaoFeng, de Ridder, Sander, Rebers, Susanne, Kerstens, Hindrik H D, de Andrade, Fernanda, van Reeuwijk, Jeroen, De Gruyter, Fini E, Hiltemann, Saskia, Ligtvoet, Maarten, Weiss, Marjan M, van Deutekom, Hanneke W M, Jansen, Anne M L, Stubbs, Andrew P, Vissers, Lisenka E L M, Laros, Jeroen F J, van Enckevort, Esther, Stemkens, Daphne, 't Hoen, Peter A C, Beliën, Jeroen A M, van Gijn, Mariëlle E, Swertz, Morris A, Genetica Medische Informatica, Pathologie Moleculair, Infection & Immunity, van der Velde, K Joeri, Singh, Gurnoor, Kaliyaperumal, Rajaram, Liao, XiaoFeng, de Ridder, Sander, Rebers, Susanne, Kerstens, Hindrik H D, de Andrade, Fernanda, van Reeuwijk, Jeroen, De Gruyter, Fini E, Hiltemann, Saskia, Ligtvoet, Maarten, Weiss, Marjan M, van Deutekom, Hanneke W M, Jansen, Anne M L, Stubbs, Andrew P, Vissers, Lisenka E L M, Laros, Jeroen F J, van Enckevort, Esther, Stemkens, Daphne, 't Hoen, Peter A C, Beliën, Jeroen A M, van Gijn, Mariëlle E, and Swertz, Morris A
- Published
- 2022
10. IMMUNOGENETICS: Transcriptional diversity during lineage commitment of human blood progenitors
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Chen, Lu, Kostadima, Myrto, Martens, Joost H. A., Canu, Giovanni, Garcia, Sara P., Turro, Ernest, Downes, Kate, Macaulay, Iain C., Bielczyk-Maczynska, Ewa, Coe, Sophia, Farrow, Samantha, Poudel, Pawan, Burden, Frances, Jansen, Sjoert B. G., Astle, William J., Attwood, Antony, Bariana, Tadbir, de Bono, Bernard, Breschi, Alessandra, Chambers, John C., Consortium, BRIDGE, Choudry, Fizzah A., Clarke, Laura, Coupland, Paul, van der Ent, Martijn, Erber, Wendy N., Jansen, Joop H., Favier, Rémi, Fenech, Matthew E., Foad, Nicola, Freson, Kathleen, van Geet, Chris, Gomez, Keith, Guigo, Roderic, Hampshire, Daniel, Kelly, Anne M., Kerstens, Hindrik H. D., Kooner, Jaspal S., Laffan, Michael, Lentaigne, Claire, Labalette, Charlotte, Martin, Tiphaine, Meacham, Stuart, Mumford, Andrew, Nürnberg, Sylvia, Palumbo, Emilio, van der Reijden, Bert A., Richardson, David, Sammut, Stephen J., Slodkowicz, Greg, Tamuri, Asif U., Vasquez, Louella, Voss, Katrin, Watt, Stephen, Westbury, Sarah, Flicek, Paul, Loos, Remco, Goldman, Nick, Bertone, Paul, Read, Randy J., Richardson, Sylvia, Cvejic, Ana, Soranzo, Nicole, Ouwehand, Willem H., Stunnenberg, Hendrik G., Frontini, Mattia, and Rendon, Augusto
- Published
- 2014
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11. IMMUNOGENETICS: Epigenetic programming of monocyte-to-macrophage differentiation and trained innate immunity
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Saeed, Sadia, Quintin, Jessica, Kerstens, Hindrik H. D., Rao, Nagesha A., Aghajanirefah, Ali, Matarese, Filomena, Cheng, Shih-Chin, Ratter, Jacqueline, Berentsen, Kim, van der Ent, Martijn A., Sharifi, Nilofar, Janssen-Megens, Eva M., Huurne, Menno Ter, Mandoli, Amit, van Schaik, Tom, Ng, Aylwin, Burden, Frances, Downes, Kate, Frontini, Mattia, Kumar, Vinod, Giamarellos-Bourboulis, Evangelos J., Ouwehand, Willem H., van der Meer, Jos W. M., Joosten, Leo A. B., Wijmenga, Cisca, Martens, Joost H. A., Xavier, Ramnik J., Logie, Colin, Netea, Mihai G., and Stunnenberg, Hendrik G.
- Published
- 2014
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12. An organoid biobank for childhood kidney cancers that captures disease and tissue heterogeneity
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UU BETA RESEARCH, Faculteit Diergeneeskunde, Calandrini, Camilla, Schutgens, Frans, Oka, Rurika, Margaritis, Thanasis, Candelli, Tito, Mathijsen, Luka, Ammerlaan, Carola, van Ineveld, Ravian L, Derakhshan, Sepide, de Haan, Sanne, Dolman, Emmy, Lijnzaad, Philip, Custers, Lars, Begthel, Harry, Kerstens, Hindrik H D, Visser, Lindy L, Rookmaaker, Maarten, Verhaar, Marianne, Tytgat, Godelieve A M, Kemmeren, Patrick, de Krijger, Ronald R, Al-Saadi, Reem, Pritchard-Jones, Kathy, Kool, Marcel, Rios, Anne C, van den Heuvel-Eibrink, Marry M, Molenaar, Jan J, van Boxtel, Ruben, Holstege, Frank C P, Clevers, Hans, Drost, Jarno, UU BETA RESEARCH, Faculteit Diergeneeskunde, Calandrini, Camilla, Schutgens, Frans, Oka, Rurika, Margaritis, Thanasis, Candelli, Tito, Mathijsen, Luka, Ammerlaan, Carola, van Ineveld, Ravian L, Derakhshan, Sepide, de Haan, Sanne, Dolman, Emmy, Lijnzaad, Philip, Custers, Lars, Begthel, Harry, Kerstens, Hindrik H D, Visser, Lindy L, Rookmaaker, Maarten, Verhaar, Marianne, Tytgat, Godelieve A M, Kemmeren, Patrick, de Krijger, Ronald R, Al-Saadi, Reem, Pritchard-Jones, Kathy, Kool, Marcel, Rios, Anne C, van den Heuvel-Eibrink, Marry M, Molenaar, Jan J, van Boxtel, Ruben, Holstege, Frank C P, Clevers, Hans, and Drost, Jarno
- Published
- 2020
13. Mammalian embryo comparison identifies novel pluripotency genes associated with the naive or primed state
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Bernardo, Andreia S., Jouneau, Alice, Marks, Hendrik, Kensche, Philip, Kobolak, Julianna, Freude, Kristine, Hall, Vanessa, Feher, Anita, Polgar, Zsuzsanna, Sartori, Chiara, Bock, Istvan, Louet, Claire, Faial, Tiago, Kerstens, Hindrik H. D., Bouissou, Camille, Parsonage, Gregory, Mashayekhi, Kaveh, Smith, James C., Lazzari, Giovanna, Hyttel, Poul, Stunnenberg, Hendrik G., Huynen, Martijn, Pedersen, Roger A., Dinnyes, Andras, Bernardo, Andreia S., Jouneau, Alice, Marks, Hendrik, Kensche, Philip, Kobolak, Julianna, Freude, Kristine, Hall, Vanessa, Feher, Anita, Polgar, Zsuzsanna, Sartori, Chiara, Bock, Istvan, Louet, Claire, Faial, Tiago, Kerstens, Hindrik H. D., Bouissou, Camille, Parsonage, Gregory, Mashayekhi, Kaveh, Smith, James C., Lazzari, Giovanna, Hyttel, Poul, Stunnenberg, Hendrik G., Huynen, Martijn, Pedersen, Roger A., and Dinnyes, Andras
- Abstract
During early mammalian development, transient pools of pluripotent cells emerge that can be immortalised upon stem cell derivation. The pluripotent state, ‘naïve’ or ‘primed’, depends on the embryonic stage and derivation conditions used. Here we analyse the temporal gene expression patterns of mouse, cattle and porcine embryos at stages that harbour different types of pluripotent cells. We document conserved and divergent traits in gene expression, and identify predictor genes shared across the species that are associated with pluripotent states in vivo and in vitro. Amongst these are the pluripotency-linked genes Klf4 and Lin28b. The novel genes discovered include naïve- (Spic, Scpep1 and Gjb5) and primed-associated (Sema6a and Jakmip2) genes as well as naïve to primed transition genes (Dusp6 and Trip6). Both Gjb5 and Dusp6 play a role in pluripotency since their knockdown results in differentiation and downregulation of key pluripotency genes. Our interspecies comparison revealed new insights of pluripotency, pluripotent stem cell identity and a new molecular criterion for distinguishing between pluripotent states in various species, including human.
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- 2018
14. Mammalian embryo comparison identifies novel pluripotency genes associated with the naïve or primed state
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Bernardo, Andreia S., primary, Jouneau, Alice, additional, Marks, Hendrik, additional, Kensche, Philip, additional, Kobolak, Julianna, additional, Freude, Kristine, additional, Hall, Vanessa, additional, Feher, Anita, additional, Polgar, Zsuzsanna, additional, Sartori, Chiara, additional, Bock, Istvan, additional, Louet, Claire, additional, Faial, Tiago, additional, Kerstens, Hindrik H. D., additional, Bouissou, Camille, additional, Parsonage, Gregory, additional, Mashayekhi, Kaveh, additional, Smith, James C., additional, Lazzari, Giovanna, additional, Hyttel, Poul, additional, Stunnenberg, Hendrik G., additional, Huynen, Martijn, additional, Pedersen, Roger A., additional, and Dinnyes, Andras, additional
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- 2018
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15. Erratum to: Dynamics of gene silencing during X inactivation using allele-specific RNA-seq [Genome Biol. 2015;16:149]
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Marks, Hendrik, Kerstens, Hindrik H D, Barakat, Tahsin Stefan, Splinter, Erik, Dirks, René A M, van Mierlo, Guido, Joshi, Onkar, Wang, Shuang Yin, Babak, Tomas, Albers, Cornelis A., Kalkan, Tüzer, Smith, Austin, Jouneau, Alice, de Laat, Wouter, Gribnau, Joost, and Stunnenberg, Hendrik G.
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Published Erratum ,Genetics ,Cell Biology ,Ecology, Evolution, Behavior and Systematics - Published
- 2016
16. Erratum to: Dynamics of gene silencing during X inactivation using allele-specific RNA-seq
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Marks, Hendrik, Kerstens, Hindrik H D, Barakat, Tahsin Stefan, Splinter, Erik, Dirks, René A M, van Mierlo, Guido, Joshi, Onkar, Wang, Shuang-Yin, Babak, Tomas, Albers, Cornelis A, Kalkan, Tüzer, Smith, Austin, Jouneau, Alice, de Laat, Wouter, Gribnau, Joost, Stunnenberg, Hendrik G, Marks, Hendrik, Kerstens, Hindrik H D, Barakat, Tahsin Stefan, Splinter, Erik, Dirks, René A M, van Mierlo, Guido, Joshi, Onkar, Wang, Shuang-Yin, Babak, Tomas, Albers, Cornelis A, Kalkan, Tüzer, Smith, Austin, Jouneau, Alice, de Laat, Wouter, Gribnau, Joost, and Stunnenberg, Hendrik G
- Published
- 2016
17. Erratum to: Dynamics of gene silencing during X inactivation using allele-specific RNA-seq [Genome Biol. 2015;16:149]
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Hubrecht Institute with UMC, Divisie Biomedische Genetica, Cancer, Marks, Hendrik, Kerstens, Hindrik H D, Barakat, Tahsin Stefan, Splinter, Erik, Dirks, René A M, van Mierlo, Guido, Joshi, Onkar, Wang, Shuang Yin, Babak, Tomas, Albers, Cornelis A., Kalkan, Tüzer, Smith, Austin, Jouneau, Alice, de Laat, Wouter, Gribnau, Joost, Stunnenberg, Hendrik G., Hubrecht Institute with UMC, Divisie Biomedische Genetica, Cancer, Marks, Hendrik, Kerstens, Hindrik H D, Barakat, Tahsin Stefan, Splinter, Erik, Dirks, René A M, van Mierlo, Guido, Joshi, Onkar, Wang, Shuang Yin, Babak, Tomas, Albers, Cornelis A., Kalkan, Tüzer, Smith, Austin, Jouneau, Alice, de Laat, Wouter, Gribnau, Joost, and Stunnenberg, Hendrik G.
- Published
- 2016
18. Epigenetic programming of monocyte-to-macrophage differentiation and trained innate immunity
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Saeed, Sadia Quintin, Jessica Kerstens, Hindrik H. D. Rao, Nagesha A. Aghajanirefah, Ali Matarese, Filomena Cheng, Shih-Chin Ratter, Jacqueline Berentsen, Kim van der Ent, Martijn A. Sharifi, Nilofar Janssen-Megens, Eva M. Ter Huurne, Menno Mandoli, Amit van Schaik, Tom Ng, Aylwin and Burden, Frances Downes, Kate Frontini, Mattia Kumar, Vinod and Giamarellos-Bourboulis, Evangelos J. Ouwehand, Willem H. van der Meer, Jos W. M. Joosten, Leo A. B. Wijmenga, Cisca and Martens, Joost H. A. Xavier, Ramnik J. Logie, Colin Netea, Mihai G. Stunnenberg, Hendrik G.
- Abstract
Monocyte differentiation into macrophages represents a cornerstone process for host defense. Concomitantly, immunological imprinting of either tolerance or trained immunity determines the functional fate of macrophages and susceptibility to secondary infections. We characterized the transcriptomes and epigenomes in four primary cell types: monocytes and in vitro-differentiated naive, tolerized, and trained macrophages. Inflammatory and metabolic pathways were modulated in macrophages, including decreased inflammasome activation, and we identified pathways functionally implicated in trained immunity. beta-glucan training elicits an exclusive epigenetic signature, revealing a complex network of enhancers and promoters. Analysis of transcription factor motifs in deoxyribonuclease I hypersensitive sites at cell-type-specific epigenetic loci unveiled differentiation and treatment-specific repertoires. Altogether, we provide a resource to understand the epigenetic changes that underlie innate immunity in humans.
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- 2014
19. Dynamics of gene silencing during X inactivation using allele-specific RNA-seq
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Marks, Hendrik, Kerstens, Hindrik H D, Barakat, Tahsin Stefan, Splinter, Erik, Dirks, René A M, van Mierlo, Guido, Joshi, Onkar, Wang, Shuang-Yin, Babak, Tomas, Albers, Cornelis A, Kalkan, Tüzer, Smith, Austin, Jouneau, Alice, de Laat, Wouter, Gribnau, Joost, Stunnenberg, Hendrik G, Marks, Hendrik, Kerstens, Hindrik H D, Barakat, Tahsin Stefan, Splinter, Erik, Dirks, René A M, van Mierlo, Guido, Joshi, Onkar, Wang, Shuang-Yin, Babak, Tomas, Albers, Cornelis A, Kalkan, Tüzer, Smith, Austin, Jouneau, Alice, de Laat, Wouter, Gribnau, Joost, and Stunnenberg, Hendrik G
- Published
- 2015
20. Dynamics of gene silencing during X inactivation using allele-specific RNA-seq
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Divisie Biomedische Genetica, Hubrecht Institute with UMC, Cancer, Marks, Hendrik, Kerstens, Hindrik H D, Barakat, Tahsin Stefan, Splinter, Erik, Dirks, René A M, van Mierlo, Guido, Joshi, Onkar, Wang, Shuang-Yin, Babak, Tomas, Albers, Cornelis A, Kalkan, Tüzer, Smith, Austin, Jouneau, Alice, de Laat, Wouter, Gribnau, Joost, Stunnenberg, Hendrik G, Divisie Biomedische Genetica, Hubrecht Institute with UMC, Cancer, Marks, Hendrik, Kerstens, Hindrik H D, Barakat, Tahsin Stefan, Splinter, Erik, Dirks, René A M, van Mierlo, Guido, Joshi, Onkar, Wang, Shuang-Yin, Babak, Tomas, Albers, Cornelis A, Kalkan, Tüzer, Smith, Austin, Jouneau, Alice, de Laat, Wouter, Gribnau, Joost, and Stunnenberg, Hendrik G
- Published
- 2015
21. Dynamics of gene silencing during X inactivation using allele-specific RNA-seq
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Marks, Hendrik, primary, Kerstens, Hindrik H. D., additional, Barakat, Tahsin Stefan, additional, Splinter, Erik, additional, Dirks, René A. M., additional, van Mierlo, Guido, additional, Joshi, Onkar, additional, Wang, Shuang-Yin, additional, Babak, Tomas, additional, Albers, Cornelis A., additional, Kalkan, Tüzer, additional, Smith, Austin, additional, Jouneau, Alice, additional, de Laat, Wouter, additional, Gribnau, Joost, additional, and Stunnenberg, Hendrik G., additional
- Published
- 2015
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22. Genome wide SNP discovery, analysis and evaluation in mallard (Anas platyrhynchos)
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Kraus, Robert H. S., Kerstens, Hindrik H. D., van Hooft, Pim, Crooijmans, Richard P. M. A., van der Poel, Jan J., Elmberg, Johan, Vignal, Alain, Huang, Yinhua, Li, Ning, Prins, Herbert H. T., Groenen, Martien A. M., Kraus, Robert H. S., Kerstens, Hindrik H. D., van Hooft, Pim, Crooijmans, Richard P. M. A., van der Poel, Jan J., Elmberg, Johan, Vignal, Alain, Huang, Yinhua, Li, Ning, Prins, Herbert H. T., and Groenen, Martien A. M.
- Abstract
Background: Next generation sequencing technologies allow to obtain at low cost the genomic sequence information that currently lacks for most economically and ecologically important organisms. For the mallard duck genomic data is limited. The mallard is, besides a species of large agricultural and societal importance, also the focal species when it comes to long distance dispersal of Avian Influenza. For large scale identification of SNPs we performed Illumina sequencing of wild mallard DNA and compared our data with ongoing genome and EST sequencing of domesticated conspecifics. This is the first study of its kind for waterfowl. Results: More than one billion base pairs of sequence information were generated resulting in a 16x coverage of a reduced representation library of the mallard genome. Sequence reads were aligned to a draft domesticated duck reference genome and allowed for the detection of over 122,000 SNPs within our mallard sequence dataset. In addition, almost 62,000 nucleotide positions on the domesticated duck reference showed a different nucleotide compared to wild mallard. Approximately 20,000 SNPs identified within our data were shared with SNPs identified in the sequenced domestic duck or in EST sequencing projects. The shared SNPs were considered to be highly reliable and were used to benchmark non-shared SNPs for quality. Genotyping of a representative sample of 364 SNPs resulted in a SNP conversion rate of 99.7%. The correlation of the minor allele count and observed minor allele frequency in the SNP discovery pool was 0.72. Conclusion: We identified almost 150,000 SNPs in wild mallards that will likely yield good results in genotyping. Of these, similar to 101,000 SNPs were detected within our wild mallard sequences and similar to 49,000 were detected between wild and domesticated duck data. In the similar to 101,000 SNPs we found a subset of similar to 20,000 SNPs shared between wild mallards and the sequenced domesticated duck suggesting a
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- 2011
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23. SMIM1 underlies the Vel blood group and influences red blood cell traits
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Cvejic, Ana, primary, Haer-Wigman, Lonneke, additional, Stephens, Jonathan C, additional, Kostadima, Myrto, additional, Smethurst, Peter A, additional, Frontini, Mattia, additional, van den Akker, Emile, additional, Bertone, Paul, additional, Bielczyk-Maczyńska, Ewa, additional, Farrow, Samantha, additional, Fehrmann, Rudolf S N, additional, Gray, Alan, additional, de Haas, Masja, additional, Haver, Vincent G, additional, Jordan, Gregory, additional, Karjalainen, Juha, additional, Kerstens, Hindrik H D, additional, Kiddle, Graham, additional, Lloyd-Jones, Heather, additional, Needs, Malcolm, additional, Poole, Joyce, additional, Soussan, Aicha Ait, additional, Rendon, Augusto, additional, Rieneck, Klaus, additional, Sambrook, Jennifer G, additional, Schepers, Hein, additional, Silljé, Herman H W, additional, Sipos, Botond, additional, Swinkels, Dorine, additional, Tamuri, Asif U, additional, Verweij, Niek, additional, Watkins, Nicholas A, additional, Westra, Harm-Jan, additional, Stemple, Derek, additional, Franke, Lude, additional, Soranzo, Nicole, additional, Stunnenberg, Hendrik G, additional, Goldman, Nick, additional, van der Harst, Pim, additional, van der Schoot, C Ellen, additional, Ouwehand, Willem H, additional, and Albers, Cornelis A, additional
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- 2013
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24. Genome-wide SNP detection in the great titParus majorusing high throughput sequencing
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BERS, NIKKIE E. M. VAN, primary, OERS, KEES VAN, additional, KERSTENS, HINDRIK H. D., additional, DIBBITS, BERT W., additional, CROOIJMANS, RICHARD P. M. A., additional, VISSER, MARCEL E., additional, and GROENEN, MARTIEN A. M., additional
- Published
- 2010
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25. Structural variation in the chicken genome identified by paired-end next-generation DNA sequencing of reduced representation libraries.
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Kerstens, Hindrik H. D., Crooijmans, Richard P. M. A., Dibbits, Bert W., Vereijken, Addie, Okimoto, Ron, and Groenen, Martien A. M.
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GENOMES , *PHEASANTS , *NUCLEOTIDE sequence , *PHENOTYPES , *DEVELOPMENTAL stability (Genetics) - Abstract
Background: Variation within individual genomes ranges from single nucleotide polymorphisms (SNPs) to kilobase, and even megabase, sized structural variants (SVs), such as deletions, insertions, inversions, and more complex rearrangements. Although much is known about the extent of SVs in humans and mice, species in which they exert significant effects on phenotypes, very little is known about the extent of SVs in the 2.5-times smaller and less repetitive genome of the chicken. Results: We identified hundreds of shared and divergent SVs in four commercial chicken lines relative to the reference chicken genome. The majority of SVs were found in intronic and intergenic regions, and we also found SVs in the coding regions. To identify the SVs, we combined high-throughput short read paired-end sequencing of genomic reduced representation libraries (RRLs) of pooled samples from 25 individuals and computational mapping of DNA sequences from a reference genome. Conclusion: We provide a first glimpse of the high abundance of small structural genomic variations in the chicken. Extrapolating our results, we estimate that there are thousands of rearrangements in the chicken genome, the majority of which are located in non-coding regions. We observed that structural variation contributes to genetic differentiation among current domesticated chicken breeds and the Red Jungle Fowl. We expect that, because of their high abundance, SVs might explain phenotypic differences and play a role in the evolution of the chicken genome. Finally, our study exemplifies an efficient and cost-effective approach for identifying structural variation in sequenced genomes. [ABSTRACT FROM AUTHOR]
- Published
- 2011
- Full Text
- View/download PDF
26. Genome-wide SNP detection in the great tit Parus major using high throughput sequencing.
- Author
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BERS, NIKKIE E. M. VAN, OERS, KEES VAN, KERSTENS, HINDRIK H. D., DIBBITS, BERT W., CROOIJMANS, RICHARD P. M. A., VISSER, MARCEL E., and GROENEN, MARTIEN A. M.
- Subjects
GREAT tit ,HUMAN genetic variation ,BIOLOGICAL adaptation ,BIOLOGICAL evolution ,NATURAL selection ,GENOMES ,NUCLEOTIDE sequence ,GENETIC polymorphisms ,ZEBRA finch ,PASSERIFORMES ,ENVIRONMENTAL sciences ,MOLECULAR ecology - Abstract
Identifying genes that underlie ecological traits will open exiting possibilities to study gene–environment interactions in shaping phenotypes and in measuring natural selection on genes. Evolutionary ecology has been pursuing these objectives for decades, but they come into reach now that next generation sequencing technologies have dramatically lowered the costs to obtain the genomic sequence information that is currently lacking for most ecologically important species. Here we describe how we generated over 2 billion basepairs of novel sequence information for an ecological model species, the great tit Parus major. We used over 16 million short sequence reads for the de novo assembly of a reference sequence consisting of 550 000 contigs, covering 2.5% of the genome of the great tit. This reference sequence was used as the scaffold for mapping of the sequence reads, which allowed for the detection of over 20 000 novel single nucleotide polymorphisms. Contigs harbouring 4272 of the single nucleotide polymorphisms could be mapped to a unique location on the recently sequenced zebra finch genome. Of all the great tit contigs, significantly more were mapped to the microchromosomes than to the intermediate and the macrochromosomes of the zebra finch, indicating a higher overall level of sequence conservation on the microchromosomes than on the other types of chromosomes. The large number of great tit contigs that can be aligned to the zebra finch genome shows that this genome provides a valuable framework for large scale genetics, e.g. QTL mapping or whole genome association studies, in passerines. [ABSTRACT FROM AUTHOR]
- Published
- 2010
- Full Text
- View/download PDF
27. Large scale single nucleotide polymorphism discovery in unsequenced genomes using second generation high throughput sequencing technology: applied to turkey.
- Author
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Kerstens, Hindrik H. D., Crooijmans, Richard P. M. A., Veenendaal, Albertine, Dibbits, Bert W., Chin-A-Woeng, Thomas F. C., den Dunnen, Johan T., and Groenen, Martien A. M.
- Subjects
- *
NUCLEOTIDES , *GENETIC polymorphisms , *GENOMES , *WILD turkey , *GENE frequency - Abstract
Background: The development of second generation sequencing methods has enabled large scale DNA variation studies at moderate cost. For the high throughput discovery of single nucleotide polymorphisms (SNPs) in species lacking a sequenced reference genome, we set-up an analysis pipeline based on a short read de novo sequence assembler and a program designed to identify variation within short reads. To illustrate the potential of this technique, we present the results obtained with a randomly sheared, enzymatically generated, 2-3 kbp genome fraction of six pooled Meleagris gallopavo (turkey) individuals. Results: A total of 100 million 36 bp reads were generated, representing approximately 5-6% (∼62 Mbp) of the turkey genome, with an estimated sequence depth of 58. Reads consisting of bases called with less than 1% error probability were selected and assembled into contigs. Subsequently, high throughput discovery of nucleotide variation was performed using sequences with more than 90% reliability by using the assembled contigs that were 50 bp or longer as the reference sequence. We identified more than 7,500 SNPs with a high probability of representing true nucleotide variation in turkeys. Increasing the reference genome by adding publicly available turkey BAC-end sequences increased the number of SNPs to over 11,000. A comparison with the sequenced chicken genome indicated that the assembled turkey contigs were distributed uniformly across the turkey genome. Genotyping of a representative sample of 340 SNPs resulted in a SNP conversion rate of 95%. The correlation of the minor allele count (MAC) and observed minor allele frequency (MAF) for the validated SNPs was 0.69. Conclusion: We provide an efficient and cost-effective approach for the identification of thousands of high quality SNPs in species currently lacking a sequenced genome and applied this to turkey. The methodology addresses a random fraction of the genome, resulting in an even distribution of SNPs across the targeted genome. [ABSTRACT FROM AUTHOR]
- Published
- 2009
- Full Text
- View/download PDF
28. Application of massive parallel sequencing to whole genome SNP discovery in the porcine genome.
- Author
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Amaral, Andreia J., Megens, Hendrik-Jan, Kerstens, Hindrik H. D., Heuven, Henri C. M., Dibbits, Bert, Crooijmans, Richard P. M. A., den Dunnen, Johan T., and Groenen, Martien A. M.
- Subjects
NUCLEOTIDE sequence ,GENOMES ,GENETICS ,GENE expression ,GENETIC regulation - Abstract
Background: Although the Illumina 1 G Genome Analyzer generates billions of base pairs of sequence data, challenges arise in sequence selection due to the varying sequence quality. Therefore, in the framework of the International Porcine SNP Chip Consortium, this pilot study aimed to evaluate the impact of the quality level of the sequenced bases on mapping quality and identification of true SNPs on a large scale. Results: DNA pooled from five animals from a commercial boar line was digested with DraI; 150-250-bp fragments were isolated and end-sequenced using the Illumina 1 G Genome Analyzer, yielding 70,348,064 sequences 36-bp long. Rules were developed to select sequences, which were then aligned to unique positions in a reference genome. Sequences were selected based on quality, and three thresholds of sequence quality (SQ) were compared. The highest threshold of SQ allowed identification of a larger number of SNPs (17,489), distributed widely across the pig genome. In total, 3,142 SNPs were validated with a success rate of 96%. The correlation between estimated minor allele frequency (MAF) and genotyped MAF was moderate, and SNPs were highly polymorphic in other pig breeds. Lowering the SQ threshold and maintaining the same criteria for SNP identification resulted in the discovery of fewer SNPs (16,768), of which 259 were not identified using higher SQ levels. Validation of SNPs found exclusively in the lower SQ threshold had a success rate of 94% and a low correlation between estimated MAF and genotyped MAF. Base change analysis suggested that the rate of transitions in the pig genome is likely to be similar to that observed in humans. Chromosome X showed reduced nucleotide diversity relative to autosomes, as observed for other species. Conclusion: Large numbers of SNPs can be identified reliably by creating strict rules for sequence selection, which simultaneously decreases sequence ambiguity. Selection of sequences using a higher SQ threshold leads to more reliable identification of SNPs. Lower SQ thresholds can be used to guarantee sufficient sequence coverage, resulting in high success rate but less reliable MAF estimation. Nucleotide diversity varies between porcine chromosomes, with the X chromosome showing less variation as observed in other species. [ABSTRACT FROM AUTHOR]
- Published
- 2009
- Full Text
- View/download PDF
29. Complex structural variation is prevalent and highly pathogenic in pediatric solid tumors.
- Author
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van Belzen IAEM, van Tuil M, Badloe S, Janse A, Verwiel ETP, Santoso M, de Vos S, Baker-Hernandez J, Kerstens HHD, Solleveld-Westerink N, Meister MT, Drost J, van den Heuvel-Eibrink MM, Merks JHM, Molenaar JJ, Peng WC, Tops BBJ, Holstege FCP, Kemmeren P, and Hehir-Kwa JY
- Subjects
- Humans, Child, DNA Copy Number Variations, Genomic Structural Variation genetics, Female, Male, Child, Preschool, Chromothripsis, Neoplasms genetics, Neoplasms epidemiology
- Abstract
In pediatric cancer, structural variants (SVs) and copy-number alterations contribute to cancer initiation as well as progression, thereby aiding diagnosis and treatment stratification. Although suggested to be of importance, the prevalence and biological relevance of complex genomic rearrangements (CGRs) across pediatric solid tumors is largely unexplored. In a cohort of 120 primary tumors, we systematically characterized patterns of extrachromosomal DNA, chromoplexy, and chromothripsis across five pediatric solid cancer types. CGRs were identified in 56 tumors (47%), and in 42 of these tumors, CGRs affect cancer driver genes or result in unfavorable chromosomal alterations. This demonstrates that CGRs are prevalent and pathogenic in pediatric solid tumors and suggests that selection likely contributes to the structural variation landscape. Moreover, carrying CGRs is associated with more adverse clinical events. Our study highlights the potential for CGRs to be incorporated in risk stratification or exploited for targeted treatments., Competing Interests: Declaration of interests The authors declare no competing interests., (Copyright © 2024 The Author(s). Published by Elsevier Inc. All rights reserved.)
- Published
- 2024
- Full Text
- View/download PDF
30. Erratum to: Dynamics of gene silencing during X inactivation using allele-specific RNA-seq.
- Author
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Marks H, Kerstens HH, Barakat TS, Splinter E, Dirks RA, van Mierlo G, Joshi O, Wang SY, Babak T, Albers CA, Kalkan T, Smith A, Jouneau A, de Laat W, Gribnau J, and Stunnenberg HG
- Published
- 2016
- Full Text
- View/download PDF
31. Whole-genome bisulfite sequencing of two distinct interconvertible DNA methylomes of mouse embryonic stem cells.
- Author
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Habibi E, Brinkman AB, Arand J, Kroeze LI, Kerstens HH, Matarese F, Lepikhov K, Gut M, Brun-Heath I, Hubner NC, Benedetti R, Altucci L, Jansen JH, Walter J, Gut IG, Marks H, and Stunnenberg HG
- Subjects
- Animals, Cells, Cultured, DNA Methylation drug effects, DNA-Binding Proteins genetics, Embryonic Stem Cells drug effects, Female, Fetal Development, Genome genetics, Histones metabolism, Leukemia Inhibitory Factor metabolism, Male, Methylation, Mice, Protein Kinase Inhibitors pharmacology, Proto-Oncogene Proteins genetics, Sequence Analysis, DNA, Sulfites chemistry, Blastocyst physiology, DNA-Binding Proteins metabolism, Embryonic Stem Cells physiology, Histone Demethylases metabolism, Pluripotent Stem Cells physiology, Proto-Oncogene Proteins metabolism
- Abstract
The use of two kinase inhibitors (2i) enables derivation of mouse embryonic stem cells (ESCs) in the pluripotent ground state. Using whole-genome bisulfite sequencing (WGBS), we show that male 2i ESCs are globally hypomethylated compared to conventional ESCs maintained in serum. In serum, female ESCs are hypomethyated similarly to male ESCs in 2i, and DNA methylation is further reduced in 2i. Regions with elevated DNA methylation in 2i strongly correlate with the presence of H3K9me3 on endogenous retroviruses (ERVs) and imprinted loci. The methylome of male ESCs in serum parallels postimplantation blastocyst cells, while 2i stalls ESCs in a hypomethylated, ICM-like state. WGBS analysis during adaptation of 2i ESCs to serum suggests that deposition of DNA methylation is largely random, while loss of DNA methylation during reversion to 2i occurs passively, initiating at TET1 binding sites. Together, our analysis provides insight into DNA methylation dynamics in cultured ESCs paralleling early developmental processes., (Copyright © 2013 Elsevier Inc. All rights reserved.)
- Published
- 2013
- Full Text
- View/download PDF
32. Widespread horizontal genomic exchange does not erode species barriers among sympatric ducks.
- Author
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Kraus RH, Kerstens HH, van Hooft P, Megens HJ, Elmberg J, Tsvey A, Sartakov D, Soloviev SA, Crooijmans RP, Groenen MA, Ydenberg RC, and Prins HH
- Subjects
- Animals, Female, Gene Frequency, Gene Transfer, Horizontal, Genotyping Techniques, Linkage Disequilibrium, Male, Polymorphism, Single Nucleotide, Principal Component Analysis, Sequence Analysis, DNA, Ducks genetics, Genetic Speciation
- Abstract
Background: The study of speciation and maintenance of species barriers is at the core of evolutionary biology. During speciation the genome of one population becomes separated from other populations of the same species, which may lead to genomic incompatibility with time. This separation is complete when no fertile offspring is produced from inter-population matings, which is the basis of the biological species concept. Birds, in particular ducks, are recognised as a challenging and illustrative group of higher vertebrates for speciation studies. There are many sympatric and ecologically similar duck species, among which fertile hybrids occur relatively frequently in nature, yet these species remain distinct., Results: We show that the degree of shared single nucleotide polymorphisms (SNPs) between five species of dabbling ducks (genus Anas) is an order of magnitude higher than that previously reported between any pair of eukaryotic species with comparable evolutionary distances. We demonstrate that hybridisation has led to sustained exchange of genetic material between duck species on an evolutionary time scale without disintegrating species boundaries. Even though behavioural, genetic and ecological factors uphold species boundaries in ducks, we detect opposing forces allowing for viable interspecific hybrids, with long-term evolutionary implications. Based on the superspecies concept we here introduce the novel term "supra-population" to explain the persistence of SNPs identical by descent within the studied ducks despite their history as distinct species dating back millions of years., Conclusions: By reviewing evidence from speciation theory, palaeogeography and palaeontology we propose a fundamentally new model of speciation to accommodate our genetic findings in dabbling ducks. This model, we argue, may also shed light on longstanding unresolved general speciation and hybridisation patterns in higher organisms, e.g. in other bird groups with unusually high hybridisation rates. Observed parallels to horizontal gene transfer in bacteria facilitate the understanding of why ducks have been such an evolutionarily successful group of animals. There is large evolutionary potential in the ability to exchange genes among species and the resulting dramatic increase of effective population size to counter selective constraints.
- Published
- 2012
- Full Text
- View/download PDF
33. Genome wide SNP discovery, analysis and evaluation in mallard (Anas platyrhynchos).
- Author
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Kraus RH, Kerstens HH, Van Hooft P, Crooijmans RP, Van Der Poel JJ, Elmberg J, Vignal A, Huang Y, Li N, Prins HH, and Groenen MA
- Subjects
- Animals, Chromosome Mapping, Evolution, Molecular, Expressed Sequence Tags, Female, Gene Frequency, Genotype, Male, Sequence Analysis, DNA, Ducks genetics, Genome, Polymorphism, Single Nucleotide
- Abstract
Background: Next generation sequencing technologies allow to obtain at low cost the genomic sequence information that currently lacks for most economically and ecologically important organisms. For the mallard duck genomic data is limited. The mallard is, besides a species of large agricultural and societal importance, also the focal species when it comes to long distance dispersal of Avian Influenza. For large scale identification of SNPs we performed Illumina sequencing of wild mallard DNA and compared our data with ongoing genome and EST sequencing of domesticated conspecifics. This is the first study of its kind for waterfowl., Results: More than one billion base pairs of sequence information were generated resulting in a 16× coverage of a reduced representation library of the mallard genome. Sequence reads were aligned to a draft domesticated duck reference genome and allowed for the detection of over 122,000 SNPs within our mallard sequence dataset. In addition, almost 62,000 nucleotide positions on the domesticated duck reference showed a different nucleotide compared to wild mallard. Approximately 20,000 SNPs identified within our data were shared with SNPs identified in the sequenced domestic duck or in EST sequencing projects. The shared SNPs were considered to be highly reliable and were used to benchmark non-shared SNPs for quality. Genotyping of a representative sample of 364 SNPs resulted in a SNP conversion rate of 99.7%. The correlation of the minor allele count and observed minor allele frequency in the SNP discovery pool was 0.72., Conclusion: We identified almost 150,000 SNPs in wild mallards that will likely yield good results in genotyping. Of these, ~101,000 SNPs were detected within our wild mallard sequences and ~49,000 were detected between wild and domesticated duck data. In the ~101,000 SNPs we found a subset of ~20,000 SNPs shared between wild mallards and the sequenced domesticated duck suggesting a low genetic divergence. Comparison of quality metrics between the total SNP set (122,000 + 62,000 = 184,000 SNPs) and the validated subset shows similar characteristics for both sets. This indicates that we have detected a large amount (~150,000) of accurately inferred mallard SNPs, which will benefit bird evolutionary studies, ecological studies (e.g. disentangling migratory connectivity) and industrial breeding programs.
- Published
- 2011
- Full Text
- View/download PDF
34. Genome-wide SNP detection in the great tit Parus major using high throughput sequencing.
- Author
-
van Bers NE, van Oers K, Kerstens HH, Dibbits BW, Crooijmans RP, Visser ME, and Groenen MA
- Subjects
- Animals, Comparative Genomic Hybridization, Contig Mapping, Finches genetics, Gene Library, Genomics methods, Sequence Alignment, Passeriformes genetics, Polymorphism, Single Nucleotide, Sequence Analysis, DNA methods
- Abstract
Identifying genes that underlie ecological traits will open exiting possibilities to study gene-environment interactions in shaping phenotypes and in measuring natural selection on genes. Evolutionary ecology has been pursuing these objectives for decades, but they come into reach now that next generation sequencing technologies have dramatically lowered the costs to obtain the genomic sequence information that is currently lacking for most ecologically important species. Here we describe how we generated over 2 billion basepairs of novel sequence information for an ecological model species, the great tit Parus major. We used over 16 million short sequence reads for the de novo assembly of a reference sequence consisting of 550 000 contigs, covering 2.5% of the genome of the great tit. This reference sequence was used as the scaffold for mapping of the sequence reads, which allowed for the detection of over 20 000 novel single nucleotide polymorphisms. Contigs harbouring 4272 of the single nucleotide polymorphisms could be mapped to a unique location on the recently sequenced zebra finch genome. Of all the great tit contigs, significantly more were mapped to the microchromosomes than to the intermediate and the macrochromosomes of the zebra finch, indicating a higher overall level of sequence conservation on the microchromosomes than on the other types of chromosomes. The large number of great tit contigs that can be aligned to the zebra finch genome shows that this genome provides a valuable framework for large scale genetics, e.g. QTL mapping or whole genome association studies, in passerines.
- Published
- 2010
- Full Text
- View/download PDF
35. Transcriptomics of enterotoxigenic Escherichia coli infection. Individual variation in intestinal gene expression correlates with intestinal function.
- Author
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Niewold TA, van der Meulen J, Kerstens HH, Smits MA, and Hulst MM
- Subjects
- Animals, Antigens, Neoplasm, Biomarkers, Tumor, Blotting, Northern, Host-Pathogen Interactions, Intestine, Small metabolism, Intestine, Small microbiology, Jejunum metabolism, Jejunum microbiology, Lectins, C-Type, Microarray Analysis, Pancreatitis-Associated Proteins, Swine, Swine Diseases microbiology, Enterotoxigenic Escherichia coli physiology, Escherichia coli Infections physiopathology, Gene Expression Profiling, Gene Expression Regulation, Intestinal Diseases microbiology, Swine Diseases metabolism
- Abstract
Acute secretory diarrhea is a major cause of morbidity and mortality in young animals and humans. Deaths result from excessive fluid and electrolyte losses. The disease is caused by non-invasive bacteria such as Vibrio cholerae and Escherichia coli which produce enterotoxins, however, much less is known about the role of individual host responses. Here we report the response of intact porcine small intestinal mucosa to infection with enterotoxigenic E. coli (ETEC). Jejunal segments in four piglets were infused with or without ETEC, and perfused for 8h, and net absorption measured. Microarray analysis at 8h post-infection showed significant differential regulation of on average fifteen transcripts in mucosa, with considerable individual variation. Differential net absorption varied between animals, and correlated negatively with the number of up regulated genes, and with one individual gene (THO complex 4). This shows that quantitative differences in gene regulation can be functionally linked to the physiological response in these four animals., (Copyright 2009 Elsevier B.V. All rights reserved.)
- Published
- 2010
- Full Text
- View/download PDF
36. Comparison of linkage disequilibrium and haplotype diversity on macro- and microchromosomes in chicken.
- Author
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Megens HJ, Crooijmans RP, Bastiaansen JW, Kerstens HH, Coster A, Jalving R, Vereijken A, Silva P, Muir WM, Cheng HH, Hanotte O, and Groenen MA
- Subjects
- Animals, Female, Gene Frequency, Genetics, Population, Male, Polymorphism, Single Nucleotide, Sequence Analysis, DNA, Chickens genetics, Chromosome Mapping, Haplotypes, Linkage Disequilibrium
- Abstract
Background: The chicken (Gallus gallus), like most avian species, has a very distinct karyotype consisting of many micro- and a few macrochromosomes. While it is known that recombination frequencies are much higher for micro- as compared to macrochromosomes, there is limited information on differences in linkage disequilibrium (LD) and haplotype diversity between these two classes of chromosomes. In this study, LD and haplotype diversity were systematically characterized in 371 birds from eight chicken populations (commercial lines, fancy breeds, and red jungle fowl) across macro- and microchromosomes. To this end we sampled four regions of approximately 1 cM each on macrochromosomes (GGA1 and GGA2), and four 1.5 -2 cM regions on microchromosomes (GGA26 and GGA27) at a high density of 1 SNP every 2 kb (total of 889 SNPs)., Results: At a similar physical distance, LD, haplotype homozygosity, haploblock structure, and haplotype sharing were all lower for the micro- as compared to the macrochromosomes. These differences were consistent across populations. Heterozygosity, genetic differentiation, and derived allele frequencies were also higher for the microchromosomes. Differences in LD, haplotype variation, and haplotype sharing between populations were largely in line with known demographic history of the commercial chicken. Despite very low levels of LD, as measured by r2 for most populations, some haploblock structure was observed, particularly in the macrochromosomes, but the haploblock sizes were typically less than 10 kb., Conclusion: Differences in LD between micro- and macrochromosomes were almost completely explained by differences in recombination rate. Differences in haplotype diversity and haplotype sharing between micro- and macrochromosomes were explained by differences in recombination rate and genotype variation. Haploblock structure was consistent with demography of the chicken populations, and differences in recombination rates between micro- and macrochromosomes. The limited haploblock structure and LD suggests that future whole-genome marker assays will need 100+K SNPs to exploit haplotype information. Interpretation and transferability of genetic parameters will need to take into account the size of chromosomes in chicken, and, since most birds have microchromosomes, in other avian species as well.
- Published
- 2009
- Full Text
- View/download PDF
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