The DOI matches its Crossref record; 3 of the 3 references it cites were found in a registry or an index.
The biology of the extracellular matrix: novel insights
Open accessAbstract
PURPOSE OF REVIEW: Extracellular matrix (ECM) has both structural and regulatory roles. This update reviews the representative recent developments in diverse aspects of ECM biology relevant to inflammation, tissue destruction, fibrosis, and regeneration. RECENT FINDINGS: Biological regulation by ECM is emerging as a major research area, driven by several new directions. Sensing of mechanical cues provided by ECM was found to be crucial in regulating cell differentiation. Transforming growth factor-β (TGF-β) is a pivotal agent in fibrosis and inflammation. A combination of structural biology and cell biology provided novel insights on the mechanisms of its activation by cellular traction and ECM. Improved understanding of how fibrillin microfibrils and associated proteins regulated TGF-β sequestration and activation was achieved by analysis of inherited connective tissue disorders having TGF-β dysregulation as an underlying pathologic mechanism. Insights on microRNA-mediated ECM regulation suggest a key role for miR-29, for which potential therapeutic roles are emerging. Advances in understanding the ECM turnover by proteinases provided novel insights on cell regulation and identified useful disease biomarkers. SUMMARY: As a crucial modulator of cell behavior, ECM has exceptionally strong relevance and translational implications for human disease, opening novel opportunities for mechanistic understanding of disease pathogenesis as well as treatment.
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
Latent TGF-β structure and activation
Shi, M., Zhu, J., Wang, R., Chen, X., Mi, L., Walz, T., & Springer, T. A. (2011) · Nature · doi:10.1038/nature10152 · Cited by 1,013
Transmembrane collagen receptors
Leitinger, B. (2011) · Annual Review of Cell and Developmental Biology · doi:10.1146/annurev-cellbio-092910-154013 · Cited by 354
Zilberberg, L., Todorovic, V., Dabovic, B., Horiguchi, M., Couroussé, T., Sakai, L. Y., & Rifkin, D. B. (2012) · Journal of Cellular Physiology · doi:10.1002/jcp.24094 · Cited by 181 · cited 1×
“Using cells isolated from fibrillin-1 and fibrillin-2 knockout mice, it was shown that fibronectin was required for ECM incorporation of LTBP1, whereas LTBP3 and LTBP4 deposition required fibrillin-1 [24].”
Background
Cited by
Advancing biomaterials of human origin for tissue engineering
Chen, F.-M., & Liu, X. (2016) · Progress in Polymer Science · doi:10.1016/j.progpolymsci.2015.02.004 · Cited by 1,158
TGFβ biology in cancer progression and immunotherapy
Derynck, R., Turley, S. J., & Akhurst, R. J. (2021) · Nature Reviews Clinical Oncology · doi:10.1038/s41571-020-0403-1 · Cited by 944
The extracellular matrix and transforming growth factor-β1: Tale of a strained relationship
Hinz, B. (2015) · Matrix Biology · doi:10.1016/j.matbio.2015.05.006 · Cited by 608
Lysyl oxidase: Properties, regulation and multiple functions in biology
Smith-Mungo, L. I., & Kagan, H. M. (1998) · Matrix Biology · doi:10.1016/s0945-053x(98)90012-9 · Cited by 578
Kim, B. S., Das, S., Jang, J., & Cho, D.-W. (2020) · Chemical Reviews · doi:10.1021/acs.chemrev.9b00808 · Cited by 465
Metadata
- Authors
- Hubmacher, D., & Apte, S. S.
- Venue
- Current Opinion in Rheumatology
- Published
- 2013-01
- Volume
- 25
- Issue
- 1
- Pages
- 65-70
- ISSN
- 1040-8711 (ISSN-L)
- OpenAlex
- W2088405783
- Cited by
- 245
- References
- 3
- FWCI
- 7.67
- 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: The biology of the extracellular matrix: novel insights. https://app.cochat.ai/papers/10.1097/bor.0b013e32835b137b
- The paper
- Hubmacher, D., & Apte, S. S. (2013). The biology of the extracellular matrix: novel insights. Current Opinion in Rheumatology. https://doi.org/10.1097/bor.0b013e32835b137b
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.