The DOI matches its Crossref record; 11 of the 11 references it cites were found in a registry or an index.
Divergence and convergence of TGF‐β/BMP signaling
Open accessAbstract
The transforming growth factor‐β (TGF‐β) superfamily includes more than 30 members which have a broad array of biological activities. TGF‐β superfamily ligands bind to type II and type I serine/threonine kinase receptors and transduce signals via Smad proteins. Receptor‐regulated Smads (R‐Smads) can be classified into two subclasses, i.e. those activated by activin and TGF‐β signaling pathways (AR‐Smads), and those activated by bone morphogenetic protein (BMP) pathways (BR‐Smads). The numbers of type II and type I receptors and Smad proteins are limited. Thus, signaling of the TGF‐β superfamily converges at the receptor and Smad levels. In the intracellular signaling pathways, Smads interact with various partner proteins and thereby exhibit a wide variety of biological activities. Moreover, signaling by Smads is modulated by various other signaling pathways allowing TGF‐β superfamily ligands to elicit diverse effects on target cells. Perturbations of the TGF‐β/BMP signaling pathways result in various clinical disorders including cancers, vascular diseases, and bone disorders. © 2001 Wiley‐Liss, Inc.
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
Regulation of skeletal muscle mass in mice by a new TGF-p superfamily member
McPherron, A. C., Lawler, A. M., & Lee, S.-J. (1997) · Nature · doi:10.1038/387083a0 · Cited by 4,013
DPC4 , A Candidate Tumor Suppressor Gene at Human Chromosome 18q21.1
Hahn, S. A., Schutte, M., Shamsul Hoque, A. T. M., Moskaluk, C. A., da Costa, L. T., Rozenblum, E., Weinstein, C. L., Fischer, A., Yeo, C. J., Hruban, R. H., et al. (1996) · Science · doi:10.1126/science.271.5247.350 · Cited by 2,337
Double muscling in cattle due to mutations in the myostatin gene
McPherron, A. C., & Lee, S.-J. (1997) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.94.23.12457 · Cited by 2,039
Rubinstein-Taybi syndrome caused by mutations in the transcriptional co-activator CBP
Petrif, F., Giles, R. H., Dauwerse, H. G., Saris, J. J., Hennekam, R. C. M., Masuno, M., Tommerup, N., van Ommen, G.-J. B., Goodman, R. H., Peters, D. J. M., et al. (1995) · Nature · doi:10.1038/376348a0 · Cited by 1,217
Song, W.-J., Sullivan, M. G., Legare, R. D., Hutchings, S., Tan, X., Kufrin, D., Ratajczak, J., Resende, I. C., Haworth, C., Hock, R., et al. (1999) · Nature Genetics · doi:10.1038/13793 · Cited by 1,100
Myostatin, a Negative Regulator of Muscle Growth, Functions by Inhibiting Myoblast Proliferation
Thomas, M., Langley, B., Berry, C., Sharma, M., Kirk, S., Bass, J., & Kambadur, R. (2000) · Journal of Biological Chemistry · doi:10.1074/jbc.m004356200 · Cited by 1,014
Mice lacking Smad3 show accelerated wound healing and an impaired local inflammatory response
Ashcroft, G. S., Yang, X., Glick, A. B., Weinstein, M., Letterio, J. J., Mizel, D. E., Anzano, M., Greenwell-Wild, T., Wahl, S. M., Deng, C., et al. (1999) · Nature Cell Biology · doi:10.1038/12971 · Cited by 911
Smad3 and Smad4 cooperate with c-Jun/c-Fos to mediate TGF-β-induced transcription
Zhang, Y., Feng, X.-H., & Derynck, R. (1998) · Nature · doi:10.1038/29814 · Cited by 809
Erickson, P., Gao, J., Chang, K., Look, T., Whisenant, E., Raimondi, S., Lasher, R., Trujillo, J., Rowley, J., & Drabkin, H. (1992) · Blood · doi:10.1182/blood.v80.7.1825.1825 · Cited by 631
Preudhomme, C., Warot-Loze, D., Roumier, C., Grardel-Duflos, N., Garand, R., Lai, J. L., Dastugue, N., Macintyre, E., Denis, C., Bauters, F., et al. (2000) · Blood · doi:10.1182/blood.v96.8.2862 · Cited by 263
Cited by
Regulation of Wound Healing by Growth Factors and Cytokines
WERNER, S., & GROSE, R. (2003) · Physiological Reviews · doi:10.1152/physrev.2003.83.3.835 · Cited by 3,629
Cellular and Molecular Basis of Pulmonary Arterial Hypertension
Morrell, N. W., Adnot, S., Archer, S. L., Dupuis, J., Lloyd Jones, P., MacLean, M. R., McMurtry, I. F., Stenmark, K. R., Thistlethwaite, P. A., Weissmann, N., et al. (2009) · Journal of the American College of Cardiology · doi:10.1016/j.jacc.2009.04.018 · Cited by 819
The transforming growth factor-β superfamily of receptors
de Caestecker, M. (2004) · Cytokine & Growth Factor Reviews · doi:10.1016/j.cytogfr.2003.10.004 · Cited by 464
Jian, B., Narula, N., Li, Q.-Y., Mohler, E. R., & Levy, R. J. (2003) · The Annals of Thoracic Surgery · doi:10.1016/s0003-4975(02)04312-6 · Cited by 438
RUNX transcription factors as key targets of TGF-β superfamily signaling
Ito, Y., & Miyazono, K. (2003) · Current Opinion in Genetics & Development · doi:10.1016/s0959-437x(03)00007-8 · Cited by 324
Self-citation
Metadata
- Authors
- Miyazono, K., Kusanagi, K., & Inoue, H.
- Venue
- Journal of Cellular Physiology
- Publisher
- Wiley
- Published
- 2001-04-04
- Volume
- 187
- Issue
- 3
- Pages
- 265-276
- ISSN
- 0021-9541 (ISSN-L)
- 1097-4652
- OpenAlex
- W2071788329
- Cited by
- 505
- References
- 11
- FWCI
- 16.72
- Type
- journal article
- Language
- en
- Open access
- bronze
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: Divergence and convergence of TGF‐β/BMP signaling. https://app.cochat.ai/papers/10.1002/jcp.1080
- The paper
- Miyazono, K., Kusanagi, K., & Inoue, H. (2001). Divergence and convergence of TGF‐β/BMP signaling. Journal of Cellular Physiology. https://doi.org/10.1002/jcp.1080
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.