Comparative Analysis of Immune Cells Reveals a Conserved Regulatory Lexicon
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Authors
Donnard, ElisaVangala, Pranitha
Afik, Shaked
McCauley, Sean M.
Nowosielska, Anetta
Kucukural, Alper
Tabak, Barbara
Zhu, Xiaopeng
Diehl, William E
McDonel, Patrick
Yosef, Nir
Luban, Jeremy
Garber, Manuel
UMass Chan Affiliations
Garber LabBioinformatics Core
Program in Molecular Medicine
Program in Bioinformatics and Integrative Biology
Document Type
Journal ArticlePublication Date
2018-03-28Keywords
comparative genomicsenhancers
gene regulation
innate immunity
toll-like receptors
UMCCTS funding
Biochemistry
Bioinformatics
Cell Biology
Cells
Computational Biology
Genetic Phenomena
Genomics
Immunity
Molecular Biology
Molecular Genetics
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Show full item recordAbstract
Most well-characterized enhancers are deeply conserved. In contrast, genome-wide comparative studies of steady-state systems showed that only a small fraction of active enhancers are conserved. To better understand conservation of enhancer activity, we used a comparative genomics approach that integrates temporal expression and epigenetic profiles in an innate immune system. We found that gene expression programs diverge among mildly induced genes, while being highly conserved for strongly induced genes. The fraction of conserved enhancers varies greatly across gene expression programs, with induced genes and early-response genes, in particular, being regulated by a higher fraction of conserved enhancers. Clustering of conserved accessible DNA sequences within enhancers resulted in over 60 sequence motifs including motifs for known factors, as well as many with unknown function. We further show that the number of instances of these motifs is a strong predictor of the responsiveness of a gene to pathogen detection.Source
Cell Syst. 2018 Mar 28;6(3):381-394.e7. doi: 10.1016/j.cels.2018.01.002. Epub 2018 Feb 14. Link to article on publisher's site
DOI
10.1016/j.cels.2018.01.002Permanent Link to this Item
http://hdl.handle.net/20.500.14038/44489PubMed ID
29454939Related Resources
ae974a485f413a2113503eed53cd6c53
10.1016/j.cels.2018.01.002