Student or educator? Sign up with your school email and get 6 months of Pro free.
Cited by 380

The DOI matches its Crossref record.

Alpha and beta human transforming growth factors stimulate prostaglandin production and bone resorption in cultured mouse calvaria.

Open access
Tashjian, A H, Voelkel, E F, Lazzaro, M, Singer, F R, Roberts, A B, Derynck, R, Winkler, M E, Levine, L·1985·Proceedings of the National Academy of Sciences

Abstract

Human alpha and beta transforming growth factors (TGF-alpha and TGF-beta) stimulated the production of prostaglandin E2 (PGE2) and bone resorption in neonatal mouse calvaria in organ culture. Significant stimulation of bone resorption by TGF-alpha was observed with a concentration of 0.2 ng/ml (35 pM) and by TGF-beta with 0.2 ng/ml (8.0 pM). Enhanced production of PGE2 and bone resorption stimulated by either TGF-alpha or TGF-beta were both inhibited by indomethacin. We conclude that TGF-alpha and TGF-beta are potent and powerful stimulators of the resorption of mouse bone by a mechanism that involves the enhanced local production of PGE2.

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.82.13.4535

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 380

Metadata

Authors
Tashjian, A. H., Voelkel, E. F., Lazzaro, M., Singer, F. R., Roberts, A. B., Derynck, R., Winkler, M. E., & Levine, L.
Venue
Proceedings of the National Academy of Sciences
Published
1985-07
Volume
82
Issue
13
Pages
4535-4538
ISSN
  • 0027-8424 (ISSN-L)
  • 1091-6490
OpenAlex
W2062026488
Cited by
380
References
0
FWCI
12.98
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: Alpha and beta human transforming growth factors stimulate prostaglandin production and bone resorption in cultured mouse calvaria. https://app.cochat.ai/papers/10.1073/pnas.82.13.4535
The paper
Tashjian, A. H., Voelkel, E. F., Lazzaro, M., Singer, F. R., Roberts, A. B., Derynck, R., Winkler, M. E., & Levine, L. (1985). Alpha and beta human transforming growth factors stimulate prostaglandin production and bone resorption in cultured mouse calvaria. Proceedings of the National Academy of Sciences. https://doi.org/10.1073/pnas.82.13.4535

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.