Student or educator? Sign up with your school email and get 6 months of Pro free.
Cited by 206

The DOI matches its Crossref record; 7 of the 7 references it cites were found in a registry or an index.

Unifying mechanism for different fibrotic diseases

Open access
Wernig, Gerlinde, Chen, Shih-Yu, Cui, Lu, Van Neste, Camille, Tsai, Jonathan M., Kambham, Neeraja, Vogel, Hannes, Natkunam, Yaso, Gilliland, D. Gary, Nolan, Garry, Weissman, Irving L.·2017·Proceedings of the National Academy of Sciences

Abstract

Significance: Severe human fibrotic diseases are devastating and without effective treatments. We found that c-JUN expression is increased in many human fibrotic diseases and that systemic induction of c-Jun in mice resulted in development of fibrosis of multiple organs. These results suggest that many fibrotic diseases share a common pathomechanism that converges on c-Jun induction. Thus, common treatment strategies could potentially be developed for these seemingly different fibrotic disease entities. Moreover, the in vivo c-Jun induction represents a mouse model for these devastating diseases that could be used for preclinical evaluation of candidate antifibrotic treatments. Indeed, we show that blockade of the antiphagocytotic signal CD47 and the AKT and VEGF receptor pathways reverses tissue fibrosis in mice.

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.1621375114

Cites

7 of 7 references verified0 citation errors · 0 not checkable

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

Cites

Show all 7 references

Cited by

See all 206

Metadata

Authors
Wernig, G., Chen, S.-Y., Cui, L., Van Neste, C., Tsai, J. M., Kambham, N., Vogel, H., Natkunam, Y., Gilliland, D. G., Nolan, G., & Weissman, I. L.
Venue
Proceedings of the National Academy of Sciences
Published
2017-04-19
Volume
114
Issue
18
Pages
4757-4762
ISSN
  • 0027-8424 (ISSN-L)
  • 1091-6490
OpenAlex
W2606997005
Cited by
206
References
7
FWCI
12.96
Type
journal article
Language
en
Open access
bronze

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: Unifying mechanism for different fibrotic diseases. https://app.cochat.ai/papers/10.1073/pnas.1621375114
The paper
Wernig, G., Chen, S.-Y., Cui, L., Van Neste, C., Tsai, J. M., Kambham, N., Vogel, H., Natkunam, Y., Gilliland, D. G., Nolan, G., & Weissman, I. L. (2017). Unifying mechanism for different fibrotic diseases. Proceedings of the National Academy of Sciences. https://doi.org/10.1073/pnas.1621375114

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.