Author
Listed:
- Carlos L. Araya
(Stanford University School of Medicine)
- Trupti Kawli
(Stanford University School of Medicine)
- Anshul Kundaje
(Massachusetts Institute of Technology)
- Lixia Jiang
(Stanford University School of Medicine)
- Beijing Wu
(Stanford University School of Medicine)
- Dionne Vafeados
(University of Washington)
- Robert Terrell
(University of Washington)
- Peter Weissdepp
(University of Washington)
- Louis Gevirtzman
(University of Washington)
- Daniel Mace
(University of Washington)
- Wei Niu
(Yale University School of Medicine)
- Alan P. Boyle
(Stanford University School of Medicine)
- Dan Xie
(Stanford University School of Medicine)
- Lijia Ma
(Institute for Genomics and Systems Biology, University of Chicago)
- John I. Murray
(Perelman School of Medicine, University of Pennsylvania)
- Valerie Reinke
(Yale University School of Medicine)
- Robert H. Waterston
(University of Washington)
- Michael Snyder
(Stanford University School of Medicine)
Abstract
Discovering the structure and dynamics of transcriptional regulatory events in the genome with cellular and temporal resolution is crucial to understanding the regulatory underpinnings of development and disease. We determined the genomic distribution of binding sites for 92 transcription factors and regulatory proteins across multiple stages of Caenorhabditis elegans development by performing 241 ChIP-seq (chromatin immunoprecipitation followed by sequencing) experiments. Integration of regulatory binding and cellular-resolution expression data produced a spatiotemporally resolved metazoan transcription factor binding map. Using this map, we explore developmental regulatory circuits that encode combinatorial logic at the levels of co-binding and co-expression of transcription factors, characterizing the genomic coverage and clustering of regulatory binding, the binding preferences of, and biological processes regulated by, transcription factors, the global transcription factor co-associations and genomic subdomains that suggest shared patterns of regulation, and identifying key transcription factors and transcription factor co-associations for fate specification of individual lineages and cell types.
Suggested Citation
Carlos L. Araya & Trupti Kawli & Anshul Kundaje & Lixia Jiang & Beijing Wu & Dionne Vafeados & Robert Terrell & Peter Weissdepp & Louis Gevirtzman & Daniel Mace & Wei Niu & Alan P. Boyle & Dan Xie & L, 2014.
"Regulatory analysis of the C. elegans genome with spatiotemporal resolution,"
Nature, Nature, vol. 512(7515), pages 400-405, August.
Handle:
RePEc:nat:nature:v:512:y:2014:i:7515:d:10.1038_nature13497
DOI: 10.1038/nature13497
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Citations
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Cited by:
- Gaotian Zhang & Nicole M. Roberto & Daehan Lee & Steffen R. Hahnel & Erik C. Andersen, 2022.
"The impact of species-wide gene expression variation on Caenorhabditis elegans complex traits,"
Nature Communications, Nature, vol. 13(1), pages 1-13, December.
- Weina Xu & Jinyi Liu & Huan Qi & Ruolin Si & Zhiguang Zhao & Zhiju Tao & Yuchuan Bai & Shipeng Hu & Xiaohan Sun & Yulin Cong & Haoye Zhang & Duchangjiang Fan & Long Xiao & Yangyang Wang & Yongbin Li &, 2024.
"A lineage-resolved cartography of microRNA promoter activity in C. elegans empowers multidimensional developmental analysis,"
Nature Communications, Nature, vol. 15(1), pages 1-23, December.
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