Functional classification of interferon-stimulated genes identified using microarrays
Clicks: 3
ID: 301459
2001
Article Quality & Performance Metrics
Overall Quality
Not rated
Combines reader engagement with the AI quality analysis. This
article has not been analysed, so there is no overall score —
reader engagement is measured and shown alongside.
Reader Engagement
Star Article
0.6
/100
3 views
0 readers
AI Quality Assessment
Not analyzed
Readership in this journal
StarRanked #38 of 88 articles by views in journal of leukocyte biology
Most read
Least read
Bar heights use a square-root scale.
Mint this article as an NFT
Not yet mintedCreate a permanent, verifiable on-chain record of this article on the Scimatic Network. The NFT is held in your Journament account, and you can withdraw it to your own wallet at any time.
5
SUSD
one-off · no wallet required
Abstract
Interferons (IFNs) are a family of multifunctional cytokines that activate transcription of subsets of genes. The gene products induced by IFNs are responsible for IFN antiviral, antiproliferative, and immunomodulatory properties. To obtain a more comprehensive list and a better understanding of the genes regulated by IFNs, we compiled data from many experiments, using two different microarray formats. The combined data sets identified >300 IFN-stimulated genes (ISGs). To provide new insight into IFN-induced cellular phenotypes, we assigned these ISGs to functional categories. The data are accessible on the World Wide Web at http://www.lerner.ccf.org/labs/williams/, including functional categories and individual genes listed in a searchable database. The entries are linked to GenBank and Unigene sequence information and other resources. The goal is to eventually compile a comprehensive list of all ISGs. Recognition of the functions of the ISGs and their specific roles in the biological effects of IFNs is leading to a greater appreciation of the many facets of these intriguing and essential cytokines. This review focuses on the functions of the ISGs identified by analyzing the microarray data and focuses particularly on new insights into the protein kinase RNA-regulated (PRKR) protein, which have been made possible with the availability of PRKR-null mice.
| Reference Key |
openalex_W2119847512
Use this key to autocite in the manuscript while using
SciMatic Manuscript Manager or Thesis Manager
|
|---|---|
| Authors | Michael J. de Veer, Michelle Holko, Mathias A.E. Frevel, E M Walker, Sandy Der, Jayashree M. Paranjape, Robert H. Silverman, Bryan Williams |
| Journal | journal of leukocyte biology |
| Year | 2001 |
| DOI |
10.1189/jlb.69.6.912
|
| URL | |
| Keywords | Keywords not found |
Citations
No citations found. To add a citation, contact the admin at info@scimatic.org
Comments
No comments yet. Be the first to comment on this article.