Student or educator? Sign up with your school email and get 6 months of Pro free.
Cited by 332

The DOI matches its Crossref record; 93 of the 93 references it cites were found in a registry or an index.

TGF-β signaling in tissue fibrosis: Redox controls, target genes and therapeutic opportunities

Open access
Samarakoon, Rohan, Overstreet, Jessica M., Higgins, Paul J.·2013·Cellular Signalling

Abstract

During development of TGF-β1-initiated fibroproliferative disorders, NADPH oxidases (NOX family members) generate reactive oxygen species (ROS) resulting in downstream transcription of a subset genes encoding matrix structural elements and profibrotic factors. Prominent among the repertoire of disease-implicated genes is the TGF-β1 target gene encoding the potent profibrotic matricellular protein plasminogen activator inhibitor-1 (PAI-1 or SERPINE1). PAI-1 is the major physiologic inhibitor of the plasmin-based pericellular cascade and a causative factor in the development of vascular thrombotic and fibroproliferative disorders. ROS generation in response to TGF-β1 stimulation is rapid and precedes PAI-1 induction; engagement of non-SMAD (e.g., EGFR, Src kinase, MAP kinases, p53) and SMAD2/3 pathways are both required for PAI-1 expression and are ROS-dependent. Recent findings suggest a novel role for p53 in TGF-β1-induced PAI-1 transcription that involves ROS generation and p53/SMAD interactions. Targeting ROS and ROS-activated cellular events is likely to have therapeutic implications in the management of fibrotic disorders, particularly in the context of prolonged TGF-β signaling.

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 · 10.1016/j.cellsig.2012.10.003

Cites

93 of 93 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 93 references

Cited by

See all 332

Metadata

Authors
Samarakoon, R., Overstreet, J. M., & Higgins, P. J.
Venue
Cellular Signalling
Publisher
Elsevier BV
Published
2013-01
Volume
25
Issue
1
Pages
264-268
ISSN
0898-6568 (ISSN-L)
OpenAlex
W2009358874
Cited by
332
References
93
FWCI
9.18
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: TGF-β signaling in tissue fibrosis: Redox controls, target genes and therapeutic opportunities. https://app.cochat.ai/papers/10.1016/j.cellsig.2012.10.003
The paper
Samarakoon, R., Overstreet, J. M., & Higgins, P. J. (2013). TGF-β signaling in tissue fibrosis: Redox controls, target genes and therapeutic opportunities. Cellular Signalling. https://doi.org/10.1016/j.cellsig.2012.10.003

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.