Student or educator? Sign up with your school email and get 6 months of Pro free.
Cited by 241

The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.

Regulation of mRNAs for type-1 plasminogen activator inhibitor, fibronectin, and type I procollagen by transforming growth factor-beta. Divergent responses in lung fibroblasts and carcinoma cells.

Open access
Keski-Oja, J, Raghow, R, Sawdey, M, Loskutoff, D J, Postlethwaite, A E, Kang, A H, Moses, H L·1988·Journal of Biological Chemistry

Abstract

Transforming growth factor-beta (TGF beta) is a growth modulator which stimulates the growth of fibroblasts but acts as a strong growth inhibitor for cells of epithelial origin. TGF beta also influences the production of extracellular matrix proteins and of proteases and protease inhibitors by cultured cells. One important protease inhibitor whose production is affected rapidly by TGF beta is the type-1 plasminogen activator inhibitor (PAI-1). To investigate the relationships between PAI-1 and the extracellular matrix, we analyzed the regulation by TGF beta of PAI-1, fibronectin, and type I procollagen in malignant human lung carcinoma cells (A549) and in human lung fibroblasts (WI-38). The expression of the respective genes was examined by polypeptide analyses and by measurements of the steady-state levels of the corresponding mRNAs by Northern hybridization. The mRNA levels for PAI-1 were elevated rapidly by TGF beta in both cell lines. This induction occurred in the presence of cycloheximide and thus was not dependent on protein synthesis. In fact, the effects of TGF beta and cycloheximide on PAI-1 mRNA were additive. In contrast, the induction of fibronectin, beta-actin, and type I procollagen (synthesized only in WI-38 cells) was abrogated by cycloheximide. In general, the effects of TGF beta on the steady-state levels of mRNAs for fibronectin, actin, and type I procollagen mRNA were similar in the two cell types. However, the production of PAI-1 mRNA in response to TGF beta differed in the two cell types, being transient (peak within 5 h) in the carcinoma cells and more persistent in fibroblasts. Thus, the major difference in TGF beta regulation of PAI-1 mRNA between lung fibroblasts and carcinoma cells was the duration of the effect. These results, together with previous data, suggest that PAI-1 and plasminogen activators may be regulated oppositely by TGF beta. We therefore propose a model for TGF beta in the regulation of extracellular proteolytic activity.

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/s0021-9258(18)69042-8

Cites

1 of 1 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

Cited by

See all 241

Metadata

Authors
Keski-Oja, J., Raghow, R., Sawdey, M., Loskutoff, D. J., Postlethwaite, A. E., Kang, A. H., & Moses, H. L.
Venue
Journal of Biological Chemistry
Publisher
Elsevier BV
Published
1988-03
Volume
263
Issue
7
Pages
3111-3115
ISSN
0021-9258 (ISSN-L)
OpenAlex
W2100778705
Cited by
241
References
1
FWCI
9.15
Type
journal article
Language
en
Open access
hybrid

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: Regulation of mRNAs for type-1 plasminogen activator inhibitor, fibronectin, and type I procollagen by transforming growth factor-beta. Divergent responses in lung fibroblasts and carcinoma cells. https://app.cochat.ai/papers/10.1016/s0021-9258(18)69042-8
The paper
Keski-Oja, J., Raghow, R., Sawdey, M., Loskutoff, D. J., Postlethwaite, A. E., Kang, A. H., & Moses, H. L. (1988). Regulation of mRNAs for type-1 plasminogen activator inhibitor, fibronectin, and type I procollagen by transforming growth factor-beta. Divergent responses in lung fibroblasts and carcinoma cells. Journal of Biological Chemistry. https://doi.org/10.1016/s0021-9258(18)69042-8

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.