MIT Libraries logoDSpace@MIT

MIT
View Item 
  • DSpace@MIT Home
  • MIT Open Access Articles
  • MIT Open Access Articles
  • View Item
  • DSpace@MIT Home
  • MIT Open Access Articles
  • MIT Open Access Articles
  • View Item
JavaScript is disabled for your browser. Some features of this site may not work without it.

Parsing the Interferon Transcriptional Network and Its Disease Associations

Author(s)
Mostafavi, Sara; Yoshida, Hideyuki; Moodley, Devapregasan; LeBoité, Hugo; Rothamel, Katherine; Raj, Towfique; Ye, Chun Jimmie; Chevrier, Nicolas; Zhang, Shen-Ying; Feng, Ting; Lee, Mark; Casanova, Jean-Laurent; Clark, James D.; Hegen, Martin; Telliez, Jean-Baptiste; Hacohen, Nir; De Jager, Philip L.; Regev, Aviv; Mathis, Diane; Benoist, Christophe; ... Show more Show less
Thumbnail
DownloadParsing the interferon.pdf (2.150Mb)
PUBLISHER_CC

Publisher with Creative Commons License

Creative Commons Attribution

Terms of use
Creative Commons Attribution-NonCommercial-NoDerivs License http://creativecommons.org/licenses/by-nc-nd/4.0/
Metadata
Show full item record
Abstract
Type 1 interferon (IFN) is a key mediator of organismal responses to pathogens, eliciting prototypical “interferon signature genes” that encode antiviral and inflammatory mediators. For a global view of IFN signatures and regulatory pathways, we performed gene expression and chromatin analyses of the IFN-induced response across a range of immunocyte lineages. These distinguished ISGs by cell-type specificity, kinetics, and sensitivity to tonic IFN and revealed underlying changes in chromatin configuration. We combined 1,398 human and mouse datasets to computationally infer ISG modules and their regulators, validated by genetic analysis in both species. Some ISGs are controlled by Stat1/2 and Irf9 and the ISRE DNA motif, but others appeared dependent on non-canonical factors. This regulatory framework helped to interpret JAK1 blockade pharmacology, different clusters being affected under tonic or IFN-stimulated conditions, and the IFN signatures previously associated with human diseases, revealing unrecognized subtleties in disease footprints, as affected by human ancestry.
Date issued
2016-01
URI
http://hdl.handle.net/1721.1/107116
Department
Massachusetts Institute of Technology. Department of Biology
Journal
Cell
Publisher
Elsevier
Citation
Mostafavi, Sara et al. “Parsing the Interferon Transcriptional Network and Its Disease Associations.” Cell 164.3 (2016): 564–578.
Version: Author's final manuscript
ISSN
0092-8674
1097-4172

Collections
  • MIT Open Access Articles

Browse

All of DSpaceCommunities & CollectionsBy Issue DateAuthorsTitlesSubjectsThis CollectionBy Issue DateAuthorsTitlesSubjects

My Account

Login

Statistics

OA StatisticsStatistics by CountryStatistics by Department
MIT Libraries
PrivacyPermissionsAccessibilityContact us
MIT
Content created by the MIT Libraries, CC BY-NC unless otherwise noted. Notify us about copyright concerns.