The DOI matches its Crossref record; 11 of the 11 references it cites were found in a registry or an index.
TGF-β Signaling
Open accessAbstract
Transforming growth factor-β (TGF-β) represents an evolutionarily conserved family of secreted polypeptide factors that regulate many aspects of physiological embryogenesis and adult tissue homeostasis. The TGF-β family members are also involved in pathophysiological mechanisms that underlie many diseases. Although the family comprises many factors, which exhibit cell type-specific and developmental stage-dependent biological actions, they all signal via conserved signaling pathways. The signaling mechanisms of the TGF-β family are controlled at the extracellular level, where ligand secretion, deposition to the extracellular matrix and activation prior to signaling play important roles. At the plasma membrane level, TGF-βs associate with receptor kinases that mediate phosphorylation-dependent signaling to downstream mediators, mainly the SMAD proteins, and mediate oligomerization-dependent signaling to ubiquitin ligases and intracellular protein kinases. The interplay between SMADs and other signaling proteins mediate regulatory signals that control expression of target genes, RNA processing at multiple levels, mRNA translation and nuclear or cytoplasmic protein regulation. This article emphasizes signaling mechanisms and the importance of biochemical control in executing biological functions by the prototype member of the family, TGF-β.
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
Soluble endoglin contributes to the pathogenesis of preeclampsia
Venkatesha, S., Toporsian, M., Lam, C., Hanai, J.-I., Mammoto, T., Kim, Y. M., Bdolah, Y., Lim, K.-H., Yuan, H.-T., Libermann, T. A., et al. (2006) · Nature Medicine · doi:10.1038/nm1429 · Cited by 1,855
Contextual determinants of TGFβ action in development, immunity and cancer
David, C. J., & Massagué, J. (2018) · Nature Reviews Molecular Cell Biology · doi:10.1038/s41580-018-0007-0 · Cited by 851
Specificity, versatility, and control of TGF-β family signaling
Derynck, R., & Budi, E. H. (2019) · Science Signaling · doi:10.1126/scisignal.aav5183 · Cited by 785 · cited 7×
“Authoritative accounts for many such proteins can be found in relatively recent articles, and we direct the reader to these articles for deeper or more comprehensive reading on this important topic [10,11].”
BackgroundInfluentialNuclear CDKs Drive Smad Transcriptional Activation and Turnover in BMP and TGF-β Pathways
Alarcón, C., Zaromytidou, A.-I., Xi, Q., Gao, S., Yu, J., Fujisawa, S., Barlas, A., Miller, A. N., Manova-Todorova, K., Macias, M. J., et al. (2009) · Cell · doi:10.1016/j.cell.2009.09.035 · Cited by 719
Signaling Receptors for TGF-β Family Members
Heldin, C.-H., & Moustakas, A. (2016) · Cold Spring Harbor Perspectives in Biology · doi:10.1101/cshperspect.a022053 · Cited by 711
Self-citationFAM/USP9x, a Deubiquitinating Enzyme Essential for TGFβ Signaling, Controls Smad4 Monoubiquitination
Dupont, S., Mamidi, A., Cordenonsi, M., Montagner, M., Zacchigna, L., Adorno, M., Martello, G., Stinchfield, M. J., Soligo, S., Morsut, L., et al. (2009) · Cell · doi:10.1016/j.cell.2008.10.051 · Cited by 494
Regulation of the Bioavailability of TGF-β and TGF-β-Related Proteins
Robertson, I. B., & Rifkin, D. B. (2016) · Cold Spring Harbor Perspectives in Biology · doi:10.1101/cshperspect.a021907 · Cited by 403
Force interacts with macromolecular structure in activation of TGF-β
Dong, X., Zhao, B., Iacob, R. E., Zhu, J., Koksal, A. C., Lu, C., Engen, J. R., & Springer, T. A. (2017) · Nature · doi:10.1038/nature21035 · Cited by 273
Mitchell, H., Choudhury, A., Pagano, R. E., & Leof, E. B. (2004) · Molecular Biology of the Cell · doi:10.1091/mbc.e04-03-0245 · Cited by 215
TGF-β family co-receptor function and signaling
Nickel, J., Ten Dijke, P., & Mueller, T. D. (2018) · Acta Biochimica et Biophysica Sinica · doi:10.1093/abbs/gmx126 · Cited by 198
Cited by
Dual proteome-scale networks reveal cell-specific remodeling of the human interactome
Huttlin, E. L., Bruckner, R. J., Navarrete-Perea, J., Cannon, J. R., Baltier, K., Gebreab, F., Gygi, M. P., Thornock, A., Zarraga, G., Tam, S., et al. (2020) · doi:10.1101/2020.01.19.905109 · Cited by 960
Diversity and versatility of p38 kinase signalling in health and disease
Canovas, B., & Nebreda, A. R. (2021) · Nature Reviews Molecular Cell Biology · doi:10.1038/s41580-020-00322-w · Cited by 657
Targeting fibrosis: mechanisms and clinical trials
Zhao, M., Wang, L., Wang, M., Zhou, S., Lu, Y., Cui, H., Racanelli, A. C., Zhang, L., Ye, T., Ding, B., et al. (2022) · Signal Transduction and Targeted Therapy · doi:10.1038/s41392-022-01070-3 · Cited by 547
Novel therapies emerging in oncology to target the TGF‐β pathway
Kim, B.-G., Malek, E., Choi, S. H., Ignatz-Hoover, J. J., & Driscoll, J. J. (2021) · Journal of Hematology & Oncology · doi:10.1186/s13045-021-01053-x · Cited by 453
Astrocytes in Chronic Pain: Cellular and Molecular Mechanisms
Lu, H.-J., & Gao, Y.-J. (2023) · Neuroscience Bulletin · doi:10.1007/s12264-022-00961-3 · Cited by 118
The role of platelet-rich plasma in biomedicine: A comprehensive overview
Zhang, Z., Liu, P., Xue, X., Zhang, Z., Wang, L., Jiang, Y., Zhang, C., Zhou, H., Lv, S., Shen, W., et al. (2025) · iScience · doi:10.1016/j.isci.2024.111705 · Cited by 48
Genetic Mutations of Pancreatic Cancer and Genetically Engineered Mouse Models
Saiki, Y., Jiang, C., Ohmuraya, M., & Furukawa, T. (2021) · Cancers · doi:10.3390/cancers14010071 · Cited by 38
Metadata
- Authors
- Tzavlaki, K., & Moustakas, A.
- Venue
- Biomolecules
- Publisher
- MDPI AG
- Published
- 2020-03-23
- Volume
- 10
- Issue
- 3
- Pages
- 487
- ISSN
- 2218-273X (ISSN-L)
- OpenAlex
- W3012775092
- Cited by
- 796
- References
- 11
- FWCI
- 22.20
- Type
- journal article
- Language
- en
- Open access
- gold
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
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.
