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Integrative analysis of the Caenorhabditis elegans genome by the modENCODE project.


ABSTRACT: We systematically generated large-scale data sets to improve genome annotation for the nematode Caenorhabditis elegans, a key model organism. These data sets include transcriptome profiling across a developmental time course, genome-wide identification of transcription factor-binding sites, and maps of chromatin organization. From this, we created more complete and accurate gene models, including alternative splice forms and candidate noncoding RNAs. We constructed hierarchical networks of transcription factor-binding and microRNA interactions and discovered chromosomal locations bound by an unusually large number of transcription factors. Different patterns of chromatin composition and histone modification were revealed between chromosome arms and centers, with similarly prominent differences between autosomes and the X chromosome. Integrating data types, we built statistical models relating chromatin, transcription factor binding, and gene expression. Overall, our analyses ascribed putative functions to most of the conserved genome.

SUBMITTER: Gerstein MB 

PROVIDER: S-EPMC3142569 | biostudies-literature | 2010 Dec

REPOSITORIES: biostudies-literature

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Integrative analysis of the Caenorhabditis elegans genome by the modENCODE project.

Gerstein Mark B MB   Lu Zhi John ZJ   Van Nostrand Eric L EL   Cheng Chao C   Arshinoff Bradley I BI   Liu Tao T   Yip Kevin Y KY   Robilotto Rebecca R   Rechtsteiner Andreas A   Ikegami Kohta K   Alves Pedro P   Chateigner Aurelien A   Perry Marc M   Morris Mitzi M   Auerbach Raymond K RK   Feng Xin X   Leng Jing J   Vielle Anne A   Niu Wei W   Rhrissorrakrai Kahn K   Agarwal Ashish A   Alexander Roger P RP   Barber Galt G   Brdlik Cathleen M CM   Brennan Jennifer J   Brouillet Jeremy Jean JJ   Carr Adrian A   Cheung Ming-Sin MS   Clawson Hiram H   Contrino Sergio S   Dannenberg Luke O LO   Dernburg Abby F AF   Desai Arshad A   Dick Lindsay L   Dosé Andréa C AC   Du Jiang J   Egelhofer Thea T   Ercan Sevinc S   Euskirchen Ghia G   Ewing Brent B   Feingold Elise A EA   Gassmann Reto R   Good Peter J PJ   Green Phil P   Gullier Francois F   Gutwein Michelle M   Guyer Mark S MS   Habegger Lukas L   Han Ting T   Henikoff Jorja G JG   Henz Stefan R SR   Hinrichs Angie A   Holster Heather H   Hyman Tony T   Iniguez A Leo AL   Janette Judith J   Jensen Morten M   Kato Masaomi M   Kent W James WJ   Kephart Ellen E   Khivansara Vishal V   Khurana Ekta E   Kim John K JK   Kolasinska-Zwierz Paulina P   Lai Eric C EC   Latorre Isabel I   Leahey Amber A   Lewis Suzanna S   Lloyd Paul P   Lochovsky Lucas L   Lowdon Rebecca F RF   Lubling Yaniv Y   Lyne Rachel R   MacCoss Michael M   Mackowiak Sebastian D SD   Mangone Marco M   McKay Sheldon S   Mecenas Desirea D   Merrihew Gennifer G   Miller David M DM   Muroyama Andrew A   Murray John I JI   Ooi Siew-Loon SL   Pham Hoang H   Phippen Taryn T   Preston Elicia A EA   Rajewsky Nikolaus N   Rätsch Gunnar G   Rosenbaum Heidi H   Rozowsky Joel J   Rutherford Kim K   Ruzanov Peter P   Sarov Mihail M   Sasidharan Rajkumar R   Sboner Andrea A   Scheid Paul P   Segal Eran E   Shin Hyunjin H   Shou Chong C   Slack Frank J FJ   Slightam Cindie C   Smith Richard R   Spencer William C WC   Stinson E O EO   Taing Scott S   Takasaki Teruaki T   Vafeados Dionne D   Voronina Ksenia K   Wang Guilin G   Washington Nicole L NL   Whittle Christina M CM   Wu Beijing B   Yan Koon-Kiu KK   Zeller Georg G   Zha Zheng Z   Zhong Mei M   Zhou Xingliang X   Ahringer Julie J   Strome Susan S   Gunsalus Kristin C KC   Micklem Gos G   Liu X Shirley XS   Reinke Valerie V   Kim Stuart K SK   Hillier LaDeana W LW   Henikoff Steven S   Piano Fabio F   Snyder Michael M   Stein Lincoln L   Lieb Jason D JD   Waterston Robert H RH  

Science (New York, N.Y.) 20101222 6012


We systematically generated large-scale data sets to improve genome annotation for the nematode Caenorhabditis elegans, a key model organism. These data sets include transcriptome profiling across a developmental time course, genome-wide identification of transcription factor-binding sites, and maps of chromatin organization. From this, we created more complete and accurate gene models, including alternative splice forms and candidate noncoding RNAs. We constructed hierarchical networks of trans  ...[more]

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