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Cited by 1,442

The DOI matches its Crossref record; 11 of the 11 references it cites were found in a registry or an index.

Architecture of the human regulatory network derived from ENCODE data

Open access
Gerstein, Mark B., Kundaje, Anshul, Hariharan, Manoj, Landt, Stephen G., Yan, Koon-Kiu, Cheng, Chao, Mu, Xinmeng Jasmine, Khurana, Ekta, Rozowsky, Joel, Alexander, Roger, Min, Renqiang, Alves, Pedro, Abyzov, Alexej, Addleman, Nick, Bhardwaj, Nitin, Boyle, Alan P., Cayting, Philip, Charos, Alexandra, Chen, David Z., Cheng, Yong, Clarke, Declan, Eastman, Catharine, Euskirchen, Ghia, Frietze, Seth, Fu, Yao, Gertz, Jason, Grubert, Fabian, Harmanci, Arif, Jain, Preti, Kasowski, Maya, Lacroute, Phil, Leng, Jing, Lian, Jin, Monahan, Hannah, O’Geen, Henriette, Ouyang, Zhengqing, Partridge, E. Christopher, Patacsil, Dorrelyn, Pauli, Florencia, Raha, Debasish, Ramirez, Lucia, Reddy, Timothy E., Reed, Brian, Shi, Minyi, Slifer, Teri, Wang, Jing, Wu, Linfeng, Yang, Xinqiong, Yip, Kevin Y., Zilberman-Schapira, Gili, Batzoglou, Serafim, Sidow, Arend, Farnham, Peggy J., Myers, Richard M., Weissman, Sherman M., Snyder, Michael·2012·Nature
DOI 10.1038/nature11245
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Abstract

Transcription factors bind in a combinatorial fashion to specify the on-and-off states of genes; the ensemble of these binding events forms a regulatory network, constituting the wiring diagram for a cell. To examine the principles of the human transcriptional regulatory network, we determined the genomic binding information of 119 transcription-related factors in over 450 distinct experiments. We found the combinatorial, co-association of transcription factors to be highly context specific: distinct combinations of factors bind at specific genomic locations. In particular, there are significant differences in the binding proximal and distal to genes. We organized all the transcription factor binding into a hierarchy and integrated it with other genomic information (for example, microRNA regulation), forming a dense meta-network. Factors at different levels have different properties; for instance, top-level transcription factors more strongly influence expression and middle-level ones co-regulate targets to mitigate information-flow bottlenecks. Moreover, these co-regulations give rise to many enriched network motifs (for example, noise-buffering feed-forward loops). Finally, more connected network components are under stronger selection and exhibit a greater degree of allele-specific activity (that is, differential binding to the two parental alleles). The regulatory information obtained in this study will be crucial for interpreting personal genome sequences and understanding basic principles of human biology and disease. A description is given of the ENCODE consortium’s efforts to examine the principles of human transcriptional regulatory networks; the results are integrated with other genomic information to form a hierarchical meta-network where different levels have distinct properties. This manuscript describes the effort of the ENCODE (Encyclopedia of DNA Elements) Consortium to examine the principles of human transcriptional regulatory networks, using a subset of 119 transcription factors. The results are integrated with other genomic information to form a multi-level meta-network in which different levels have distinct properties. The findings will aid future interpretations of human genomics and help us to understand the basic principles of human biology and disease.

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Research works printed but not linked: 37

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Cited by

Metadata

Authors
Gerstein, M. B., Kundaje, A., Hariharan, M., Landt, S. G., Yan, K.-K., Cheng, C., Mu, X. J., Khurana, E., Rozowsky, J., Alexander, R., Min, R., Alves, P., Abyzov, A., Addleman, N., Bhardwaj, N., Boyle, A. P., Cayting, P., Charos, A., Chen, D. Z., Cheng, Y., Clarke, D., Eastman, C., Euskirchen, G., Frietze, S., Fu, Y., Gertz, J., Grubert, F., Harmanci, A., Jain, P., Kasowski, M., Lacroute, P., Leng, J., Lian, J., Monahan, H., O’Geen, H., Ouyang, Z., Partridge, E. C., Patacsil, D., Pauli, F., Raha, D., Ramirez, L., Reddy, T. E., Reed, B., Shi, M., Slifer, T., Wang, J., Wu, L., Yang, X., Yip, K. Y., Zilberman-Schapira, G., Batzoglou, S., Sidow, A., Farnham, P. J., Myers, R. M., Weissman, S. M., & Snyder, M.
Venue
Nature
Publisher
Springer Science and Business Media LLC
Published
2012-09
Volume
489
Issue
7414
Pages
91-100
ISSN
  • 0028-0836 (ISSN-L)
  • 1476-4687
DOI
10.1038/nature11245
OpenAlex
W2001554877
Cited by
1,442
References
11
FWCI
60.18
Type
journal article
Language
en
Open access
hybrid
Licence
creativecommons.org/licenses/by-nc-sa/3.0/ (tdm)

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