Student or educator? Sign up with your school email and get 6 months of Pro free.
Cited by 573

The DOI matches its Crossref record.

An evolutionary conserved function of the JAK-STAT pathway in anti-dengue defense

Open access
Souza-Neto, Jayme A., Sim, Shuzhen, Dimopoulos, George·2009·Proceedings of the National Academy of Sciences

Abstract

Here, we show that the major mosquito vector for dengue virus uses the JAK-STAT pathway to control virus infection. Dengue virus infection in Aedes aegypti mosquitoes activates the JAK-STAT immune signaling pathway. The mosquito's susceptibility to dengue virus infection increases when the JAK-STAT pathway is suppressed through RNAi depletion of its receptor Domeless (Dome) and the Janus kinase (Hop), whereas mosquitoes become more resistant to the virus when the negative regulator of the JAK-STAT pathway, PIAS, is silenced. The JAK-STAT pathway exerts its anti-dengue activity presumably through one or several STAT-regulated effectors. We have identified, and partially characterized, two JAK-STAT pathway-regulated and infection-responsive dengue virus restriction factors (DVRFs) that contain putative STAT-binding sites in their promoter regions. Our data suggest that the JAK-STAT pathway is part of the A. aegypti mosquito's anti-dengue defense and may act independently of the Toll pathway and the RNAi-mediated antiviral defenses.

Overview

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1073/pnas.0905006106

Cites

Statistics

Verification

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Citations

Cited by

See all 573

Metadata

Authors
Souza-Neto, J. A., Sim, S., & Dimopoulos, G.
Venue
Proceedings of the National Academy of Sciences
Published
2009-10-20
Volume
106
Issue
42
Pages
17841-17846
ISSN
  • 0027-8424 (ISSN-L)
  • 1091-6490
OpenAlex
W2079936712
Cited by
573
References
0
FWCI
8.78
Type
journal article
Language
en
Open access
green

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review

How to cite

Cite CoChat for the checks on this page, and the paper for its own findings.

This page
CoChat. (2026). Citation check: An evolutionary conserved function of the JAK-STAT pathway in anti-dengue defense. https://app.cochat.ai/papers/10.1073/pnas.0905006106
The paper
Souza-Neto, J. A., Sim, S., & Dimopoulos, G. (2009). An evolutionary conserved function of the JAK-STAT pathway in anti-dengue defense. Proceedings of the National Academy of Sciences. https://doi.org/10.1073/pnas.0905006106

Data sources

Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.