Evidence map›Paper›PMID 24058798›Full record

ReviewJAK-STAT2013

STAT2: A shape-shifting anti-viral super STAT.

Fatema Z Chowdhury, J David Farrar

Open access · bronzeAbstract readReview
In one paragraph

Review in JAK-STAT, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers.

0numbers the graph read from it
0cells of the map it votes in
27citing papers in PubMed
1.3field-weighted citation impact, top 21% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

27 citing papers in PubMed, 36 citations in OpenAlex.

  1. Article
  2. Review
  3. Review
  4. Review
  5. Article
  6. Review
  7. Article
  8. Infections in Inborn Errors of STATs.Pathogens (Basel, Switzerland) · 2024
    Review
  9. Review
  10. Mechanisms of Antiviral Immune Evasion of SARS-CoV-2.Journal of molecular biology · 2022
    Review
  11. Review
  12. Review
  13. Structural basis for STAT2 suppression by flavivirus NS5.Nature structural & molecular biology · 2020
    Article
  14. Article
  15. Article
  16. Article
  17. Review
  18. Article
  19. Review
  20. Structural basis of STAT2 recognition by IRF9 reveals molecular insights into ISGF3 function.Proceedings of the National Academy of Sciences of the United States of America · 2018
    Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

2 authors at 2 institutions in 1 country.

Fatema Z ChowdhuryDepartment of Immunology and Department of Molecular Biology; UT Southwestern Medical Center; Dallas, TX USA.
J David Farrar
Southwestern Medical Center · USThe University of Texas Southwestern Medical Center · US

Funding

INTEGRATIVE IMMUNOLOGY TRAINING PROGRAMT32AI005284 · NIAID · UT SOUTHWESTERN MEDICAL CENTER · PI Nan Yan · 2003 to 2026
$7.4M
Type I Interferon-Regulated T Helper DevelopmentR01AI056222 · NIAID · UT SOUTHWESTERN MEDICAL CENTER · PI FARRAR, JOHN DAVID · 2005 to 2014
$3.8M
NIAID NIH HHS R01 AI056222NIAID NIH HHS T32 AI005284
6 · The paper itself

Abstract

STAT2 is unique among the STAT family of transcription factors in that its activation is driven predominantly by only two classes of cell surface receptors: Type I and III interferon receptors. As such, STAT2 plays a critical role in host defenses against viral infections. Viruses have evolved to target STAT2 by either inhibiting its expression, blocking its activity, or by targeting it for degradation. Consequently, these viral onslaughts have driven remarkable divergence in the STAT2 gene across species that is not observed in other STAT family members. Thus, the evolution of STAT2 may preserve its activity and protect each species in the face of an ever-changing viral community.

Indexed as

comparative genomicsinterferoninterferon stimulated genesignal transducer and activator of transcriptionSTAT2viral antagonism

Identifiers

PMID24058798
PMCPMC3670274
OpenAlexW1974305338

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.