Elise A. Feingold
National Institutes of Health
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Publication
Featured researches published by Elise A. Feingold.
Proceedings of the National Academy of Sciences of the United States of America | 2002
Robert L. Strausberg; Elise A. Feingold; Lynette H. Grouse; Jeffery G. Derge; Richard D. Klausner; Francis S. Collins; Lukas Wagner; Carolyn M. Shenmen; Gregory D. Schuler; Stephen F. Altschul; Barry R. Zeeberg; Kenneth H. Buetow; Carl F. Schaefer; Narayan K. Bhat; Ralph F. Hopkins; Heather Jordan; Troy Moore; Steve I. Max; Jun Wang; Florence Hsieh; Luda Diatchenko; Kate Marusina; Andrew A. Farmer; Gerald M. Rubin; Ling Hong; Mark Stapleton; M. Bento Soares; Maria F. Bonaldo; Tom L. Casavant; Todd E. Scheetz
The National Institutes of Health Mammalian Gene Collection (MGC) Program is a multiinstitutional effort to identify and sequence a cDNA clone containing a complete ORF for each human and mouse gene. ESTs were generated from libraries enriched for full-length cDNAs and analyzed to identify candidate full-ORF clones, which then were sequenced to high accuracy. The MGC has currently sequenced and verified the full ORF for a nonredundant set of >9,000 human and >6,000 mouse genes. Candidate full-ORF clones for an additional 7,800 human and 3,500 mouse genes also have been identified. All MGC sequences and clones are available without restriction through public databases and clone distribution networks (see http://mgc.nci.nih.gov).
Science | 2010
Sushmita Roy; Jason Ernst; Peter V. Kharchenko; Pouya Kheradpour; Nicolas Nègre; Matthew L. Eaton; Jane M. Landolin; Christopher A. Bristow; Lijia Ma; Michael F. Lin; Stefan Washietl; Bradley I. Arshinoff; Ferhat Ay; Patrick E. Meyer; Nicolas Robine; Nicole L. Washington; Luisa Di Stefano; Eugene Berezikov; Christopher D. Brown; Rogerio Candeias; Joseph W. Carlson; Adrian Carr; Irwin Jungreis; Daniel Marbach; Rachel Sealfon; Michael Y. Tolstorukov; Sebastian Will; Artyom A. Alekseyenko; Carlo G. Artieri; Benjamin W. Booth
From Genome to Regulatory Networks For biologists, having a genome in hand is only the beginning—much more investigation is still needed to characterize how the genome is used to help to produce a functional organism (see the Perspective by Blaxter). In this vein, Gerstein et al. (p. 1775) summarize for the Caenorhabditis elegans genome, and The modENCODE Consortium (p. 1787) summarize for the Drosophila melanogaster genome, full transcriptome analyses over developmental stages, genome-wide identification of transcription factor binding sites, and high-resolution maps of chromatin organization. Both studies identified regions of the nematode and fly genomes that show highly occupied targets (or HOT) regions where DNA was bound by more than 15 of the transcription factors analyzed and the expression of related genes were characterized. Overall, the studies provide insights into the organization, structure, and function of the two genomes and provide basic information needed to guide and correlate both focused and genome-wide studies. The Drosophila modENCODE project demonstrates the functional regulatory network of flies. To gain insight into how genomic information is translated into cellular and developmental programs, the Drosophila model organism Encyclopedia of DNA Elements (modENCODE) project is comprehensively mapping transcripts, histone modifications, chromosomal proteins, transcription factors, replication proteins and intermediates, and nucleosome properties across a developmental time course and in multiple cell lines. We have generated more than 700 data sets and discovered protein-coding, noncoding, RNA regulatory, replication, and chromatin elements, more than tripling the annotated portion of the Drosophila genome. Correlated activity patterns of these elements reveal a functional regulatory network, which predicts putative new functions for genes, reveals stage- and tissue-specific regulators, and enables gene-expression prediction. Our results provide a foundation for directed experimental and computational studies in Drosophila and related species and also a model for systematic data integration toward comprehensive genomic and functional annotation.
Proceedings of the National Academy of Sciences of the United States of America | 2014
Manolis Kellis; Barbara J. Wold; Michael Snyder; Bradley E. Bernstein; Anshul Kundaje; Georgi K. Marinov; Lucas D. Ward; Ewan Birney; Gregory E. Crawford; Job Dekker; Ian Dunham; Laura Elnitski; Peggy J. Farnham; Elise A. Feingold; Mark Gerstein; Morgan C. Giddings; David M. Gilbert; Thomas R. Gingeras; Eric D. Green; Roderic Guigó; Tim Hubbard; Jim Kent; Jason D. Lieb; Richard M. Myers; Michael J. Pazin; Bing Ren; John A. Stamatoyannopoulos; Zhiping Weng; Kevin P. White; Ross C. Hardison
With the completion of the human genome sequence, attention turned to identifying and annotating its functional DNA elements. As a complement to genetic and comparative genomics approaches, the Encyclopedia of DNA Elements Project was launched to contribute maps of RNA transcripts, transcriptional regulator binding sites, and chromatin states in many cell types. The resulting genome-wide data reveal sites of biochemical activity with high positional resolution and cell type specificity that facilitate studies of gene regulation and interpretation of noncoding variants associated with human disease. However, the biochemically active regions cover a much larger fraction of the genome than do evolutionarily conserved regions, raising the question of whether nonconserved but biochemically active regions are truly functional. Here, we review the strengths and limitations of biochemical, evolutionary, and genetic approaches for defining functional DNA segments, potential sources for the observed differences in estimated genomic coverage, and the biological implications of these discrepancies. We also analyze the relationship between signal intensity, genomic coverage, and evolutionary conservation. Our results reinforce the principle that each approach provides complementary information and that we need to use combinations of all three to elucidate genome function in human biology and disease.
Genome Biology | 2012
John A. Stamatoyannopoulos; Michael Snyder; Ross C. Hardison; Bing Ren; Thomas R. Gingeras; David M. Gilbert; Mark Groudine; M. A. Bender; Rajinder Kaul; Theresa K. Canfield; Erica Giste; Audra K. Johnson; Mia Zhang; Gayathri Balasundaram; Rachel Byron; Vaughan Roach; Peter J. Sabo; Richard Sandstrom; A Sandra Stehling; Robert E. Thurman; Sherman M. Weissman; Philip Cayting; Manoj Hariharan; Jin Lian; Yong Cheng; Stephen G. Landt; Zhihai Ma; Barbara J. Wold; Job Dekker; Gregory E. Crawford
To complement the human Encyclopedia of DNA Elements (ENCODE) project and to enable a broad range of mouse genomics efforts, the Mouse ENCODE Consortium is applying the same experimental pipelines developed for human ENCODE to annotate the mouse genome.
Nature | 2014
Joshua W. K. Ho; Youngsook L. Jung; Tao Liu; Burak H. Alver; Soohyun Lee; Kohta Ikegami; Kyung Ah Sohn; Aki Minoda; Michael Y. Tolstorukov; Alex Appert; Stephen C. J. Parker; Tingting Gu; Anshul Kundaje; Nicole C. Riddle; Eric P. Bishop; Thea A. Egelhofer; Sheng'En Shawn Hu; Artyom A. Alekseyenko; Andreas Rechtsteiner; Dalal Asker; Jason A. Belsky; Sarah K. Bowman; Q. Brent Chen; Ron Chen; Daniel S. Day; Yan Dong; Andréa C. Dosé; Xikun Duan; Charles B. Epstein; Sevinc Ercan
Genome function is dynamically regulated in part by chromatin, which consists of the histones, non-histone proteins and RNA molecules that package DNA. Studies in Caenorhabditis elegans and Drosophila melanogaster have contributed substantially to our understanding of molecular mechanisms of genome function in humans, and have revealed conservation of chromatin components and mechanisms. Nevertheless, the three organisms have markedly different genome sizes, chromosome architecture and gene organization. On human and fly chromosomes, for example, pericentric heterochromatin flanks single centromeres, whereas worm chromosomes have dispersed heterochromatin-like regions enriched in the distal chromosomal ‘arms’, and centromeres distributed along their lengths. To systematically investigate chromatin organization and associated gene regulation across species, we generated and analysed a large collection of genome-wide chromatin data sets from cell lines and developmental stages in worm, fly and human. Here we present over 800 new data sets from our ENCODE and modENCODE consortia, bringing the total to over 1,400. Comparison of combinatorial patterns of histone modifications, nuclear lamina-associated domains, organization of large-scale topological domains, chromatin environment at promoters and enhancers, nucleosome positioning, and DNA replication patterns reveals many conserved features of chromatin organization among the three organisms. We also find notable differences in the composition and locations of repressive chromatin. These data sets and analyses provide a rich resource for comparative and species-specific investigations of chromatin composition, organization and function.
Nature | 2014
Mark Gerstein; Joel Rozowsky; Koon Kiu Yan; Daifeng Wang; Chao Cheng; James B. Brown; Carrie A. Davis; LaDeana W. Hillier; Cristina Sisu; Jingyi Jessica Li; Baikang Pei; Arif Harmanci; Michael O. Duff; Sarah Djebali; Roger P. Alexander; Burak H. Alver; Raymond K. Auerbach; Kimberly Bell; Peter J. Bickel; Max E. Boeck; Nathan Boley; Benjamin W. Booth; Lucy Cherbas; Peter Cherbas; Chao Di; Alexander Dobin; Jorg Drenkow; Brent Ewing; Gang Fang; Megan Fastuca
The transcriptome is the readout of the genome. Identifying common features in it across distant species can reveal fundamental principles. To this end, the ENCODE and modENCODE consortia have generated large amounts of matched RNA-sequencing data for human, worm and fly. Uniform processing and comprehensive annotation of these data allow comparison across metazoan phyla, extending beyond earlier within-phylum transcriptome comparisons and revealing ancient, conserved features. Specifically, we discover co-expression modules shared across animals, many of which are enriched in developmental genes. Moreover, we use expression patterns to align the stages in worm and fly development and find a novel pairing between worm embryo and fly pupae, in addition to the embryo-to-embryo and larvae-to-larvae pairings. Furthermore, we find that the extent of non-canonical, non-coding transcription is similar in each organism, per base pair. Finally, we find in all three organisms that the gene-expression levels, both coding and non-coding, can be quantitatively predicted from chromatin features at the promoter using a ‘universal model’ based on a single set of organism-independent parameters.
Nature | 2014
Alan P. Boyle; Carlos L. Araya; Cathleen M. Brdlik; Philip Cayting; Chao Cheng; Yong Cheng; Kathryn E. Gardner; LaDeana W. Hillier; J. Janette; Lixia Jiang; Dionna M. Kasper; Trupti Kawli; Pouya Kheradpour; Anshul Kundaje; Jingyi Jessica Li; Lijia Ma; Wei Niu; E. Jay Rehm; Joel Rozowsky; Matthew Slattery; Rebecca Spokony; Robert Terrell; Dionne Vafeados; Daifeng Wang; Peter Weisdepp; Yi-Chieh Wu; Dan Xie; Koon Kiu Yan; Elise A. Feingold; Peter J. Good
Despite the large evolutionary distances between metazoan species, they can show remarkable commonalities in their biology, and this has helped to establish fly and worm as model organisms for human biology. Although studies of individual elements and factors have explored similarities in gene regulation, a large-scale comparative analysis of basic principles of transcriptional regulatory features is lacking. Here we map the genome-wide binding locations of 165 human, 93 worm and 52 fly transcription regulatory factors, generating a total of 1,019 data sets from diverse cell types, developmental stages, or conditions in the three species, of which 498 (48.9%) are presented here for the first time. We find that structural properties of regulatory networks are remarkably conserved and that orthologous regulatory factor families recognize similar binding motifs in vivo and show some similar co-associations. Our results suggest that gene-regulatory properties previously observed for individual factors are general principles of metazoan regulation that are remarkably well-preserved despite extensive functional divergence of individual network connections. The comparative maps of regulatory circuitry provided here will drive an improved understanding of the regulatory underpinnings of model organism biology and how these relate to human biology, development and disease.
Proceedings of the National Academy of Sciences of the United States of America | 2014
Manolis Kellis; Barbara J. Wold; Michael Snyder; Bradley E. Bernstein; Anshul Kundaje; Georgi K. Marinov; Lucas D. Ward; Ewan Birney; Gregory E. Crawford; Job Dekker; Ian Dunham; Laura Elnitski; Peggy J. Farnham; Elise A. Feingold; Mark Gerstein; Morgan C. Giddings; David M. Gilbert; Thomas R. Gingeras; Eric D. Green; Roderic Guigó; Tim Hubbard; Jim Kent; Jason D. Lieb; Richard M. Myers; Michael J. Pazin; Bing Ren; John A. Stamatoyannopoulos; Zhiping Weng; Kevin P. White; Ross C. Hardison
We agree with Brunet and Doolittle (1) on the utility of distinguishing the evolutionarily selected effects (SE) of some genomic elements from the causal roles (CR) of other elements that lack signatures of selection (1⇓⇓–4). DNA sequences identified by biochemical approaches include both SE and CR elements, and genetic variation in both has been implicated in human traits and disease susceptibility. We thus view the Encyclopedia of DNA Elements (ENCODE) catalog and similar data resources as important foundations for understanding the DNA elements and molecular mechanisms underlying human biology and disease.
Science | 1999
Robert L. Strausberg; Elise A. Feingold; Richard D. Klausner; Francis S. Collins
Genomics | 1999
Elise A. Feingold; Laura A. Penny; Arthur W. Nienhuis; Bernard G. Forget