The DOI matches its Crossref record; 163 of the 163 references it cites were found in a registry or an index.
The extracellular matrix and transforming growth factor-β1: Tale of a strained relationship
Open accessAbstract
Physiological tissue repair aims at restoring the mechano-protective properties of the extracellular matrix. Consequently, redundant regulatory mechanisms are in place ensuring that tissue remodeling terminates once matrix homeostasis is re-established. If these mechanisms fail, stromal cells become continuously activated, accumulate excessive amounts of stiff matrix, and fibrosis develops. In this mini-review, I develop the hypothesis that the mechanical state of the extracellular matrix and the pro-fibrotic transforming growth factor (TGF)-β1 cooperate to regulate the remodeling activities of stromal cells. TGF-β1 is stored in the matrix as part of a large latent complex and can be activated by cell contractile force that is transmitted by integrins. Matrix straining and stiffening lower the threshold for TGF-β1 activation by increasing the mechanical resistance to cell pulling. Different elements of this mechanism can be pharmacologically targeted to interrupt the mechanical positive feedback loop of fibrosis, including specific integrins and matrix protein interactions.
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.
Integrity signals
Registry
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.
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
The extracellular matrix at a glance
Frantz, C., Stewart, K. M., & Weaver, V. M. (2010) · Journal of Cell Science · doi:10.1242/jcs.023820 · Cited by 4,334
Myofibroblasts and mechano-regulation of connective tissue remodelling
Tomasek, J. J., Gabbiani, G., Hinz, B., Chaponnier, C., & Brown, R. A. (2002) · Nature Reviews Molecular Cell Biology · doi:10.1038/nrm809 · Cited by 4,290
Self-citationMechanisms of fibrosis: therapeutic translation for fibrotic disease
Wynn, T. A., & Ramalingam, T. R. (2012) · Nature Medicine · doi:10.1038/nm.2807 · Cited by 3,541
The extracellular matrix: A dynamic niche in cancer progression
Lu, P., Weaver, V. M., & Werb, Z. (2012) · Journal of Cell Biology · doi:10.1083/jcb.201102147 · Cited by 3,024
Shull, M. M., Ormsby, I., Kier, A. B., Pawlowski, S., Diebold, R. J., Yin, M., Allen, R., Sidman, C., Proetzel, G., Calvin, D., et al. (1992) · Nature · doi:10.1038/359693a0 · Cited by 2,985
Growth Factors, Matrices, and Forces Combine and Control Stem Cells
Discher, D. E., Mooney, D. J., & Zandstra, P. W. (2009) · Science · doi:10.1126/science.1171643 · Cited by 2,667
Mechanotransduction and extracellular matrix homeostasis
Humphrey, J. D., Dufresne, E. R., & Schwartz, M. A. (2014) · Nature Reviews Molecular Cell Biology · doi:10.1038/nrm3896 · Cited by 2,124
Munger, J. S., Huang, X., Kawakatsu, H., Griffiths, M. J. D., Dalton, S. L., Wu, J., Pittet, J.-F., Kaminski, N., Garat, C., Matthay, M. A., et al. (1999) · Cell · doi:10.1016/s0092-8674(00)80545-0 · Cited by 2,076
The extracellular matrix modulates the hallmarks of cancer
Pickup, M. W., Mouw, J. K., & Weaver, V. M. (2014) · EMBO reports · doi:10.15252/embr.201439246 · Cited by 1,996
A tense situation: forcing tumour progression
Butcher, D. T., Alliston, T., & Weaver, V. M. (2009) · Nature Reviews Cancer · doi:10.1038/nrc2544 · Cited by 1,940
Cited by
Hepatic inflammatory responses in liver fibrosis
Hammerich, L., & Tacke, F. (2023) · Nature Reviews Gastroenterology & Hepatology · doi:10.1038/s41575-023-00807-x · Cited by 803
The extracellular matrix and the immune system: A mutually dependent relationship
Sutherland, T. E., Dyer, D. P., & Allen, J. E. (2023) · Science · doi:10.1126/science.abp8964 · Cited by 519
Hinz, B. (2016) · Experimental Eye Research · doi:10.1016/j.exer.2015.07.009 · Cited by 424
Self-citationThe big five in fibrosis: Macrophages, myofibroblasts, matrix, mechanics, and miscommunication
Pakshir, P., & Hinz, B. (2018) · Matrix Biology · doi:10.1016/j.matbio.2018.01.019 · Cited by 396
Self-citationThe Physical and Biochemical Properties of the Extracellular Matrix Regulate Cell Fate
(2018) · Current Topics in Developmental Biology · doi:10.1016/bs.ctdb.2018.02.002 · Cited by 286
Metadata
- Authors
- Hinz, B.
- Venue
- Matrix Biology
- Publisher
- Elsevier BV
- Published
- 2015-09
- Volume
- 47
- Pages
- 54-65
- ISSN
- 0945-053X (ISSN-L)
- OpenAlex
- W232770196
- Cited by
- 608
- References
- 163
- FWCI
- 17.75
- 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: The extracellular matrix and transforming growth factor-β1: Tale of a strained relationship. https://app.cochat.ai/papers/10.1016/j.matbio.2015.05.006
- The paper
- Hinz, B. (2015). The extracellular matrix and transforming growth factor-β1: Tale of a strained relationship. Matrix Biology. https://doi.org/10.1016/j.matbio.2015.05.006
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.
