The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
Insulin-Like Growth Factor-Mediated Muscle Cell Survival: Central Roles for Akt and Cyclin-Dependent Kinase Inhibitor p21
Open accessAbstract
Polypeptide growth factors activate specific transmembrane receptors, leading to the induction of multiple intracellular signal transduction pathways which control cell function and fate. Recent studies have shown that growth factors promote cell survival by stimulating the serine-threonine protein kinase Akt, which appears to function primarily as an antiapoptotic agent by inactivating death-promoting molecules. We previously established C2 muscle cell lines lacking endogenous expression of insulin-like growth factor II (IGF-II). These cells underwent apoptotic death in low-serum differentiation medium but could be maintained as viable myoblasts by IGF analogues that activated the IGF-I receptor or by unrelated growth factors such as platelet-derived growth factor BB (PDGF-BB). Here we show that IGF-I promotes muscle cell survival through Akt-mediated induction of the cyclin-dependent kinase inhibitor p21. Treatment of myoblasts with IGF-I or transfection with an inducible Akt maintained muscle cell survival and enhanced production of p21, and ectopic expression of p21 was able to sustain viability in the absence of growth factors. Blocking of p21 protein accumulation through a specific p21 antisense cDNA prevented survival regulated by IGF-I or Akt but did not block muscle cell viability mediated by PDGF-BB. Our results define Akt as an intermediate and p21 as a critical effector of an IGF-controlled myoblast survival pathway that is active during early myogenic differentiation and show that growth factors are able to maintain cell viability by inducing expression of pro-survival molecules.
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
Cellular survival: a play in three Akts
Datta, S. R., Brunet, A., & Greenberg, M. E. (1999) · Genes & Development · doi:10.1101/gad.13.22.2905 · Cited by 4,216
Cited by
Cellular and Molecular Regulation of Muscle Regeneration
CHARGÉ, S. B. P., & RUDNICKI, M. A. (2004) · Physiological Reviews · doi:10.1152/physrev.00019.2003 · Cited by 2,680
Chang, F., Lee, J. T., Navolanic, P. M., Steelman, L. S., Shelton, J. G., Blalock, W. L., Franklin, R. A., & McCubrey, J. A. (2003) · Leukemia · doi:10.1038/sj.leu.2402824 · Cited by 1,176
Lawlor, M. A., & Alessi, D. R. (2001) · Journal of Cell Science · doi:10.1242/jcs.114.16.2903 · Cited by 1,071
Self-citationMutant PIK3CA promotes cell growth and invasion of human cancer cells.
Samuels, Y., Diaz, L. A., Schmidt-Kittler, O., Cummins, J. M., DeLong, L., Cheong, I., Rago, C., Huso, D. L., Lengauer, C., Kinzler, K. W., et al. (2005) · Cancer Cell · doi:10.1016/j.ccr.2005.05.014 · Cited by 915
The Structure of a Human p110α/p85α Complex Elucidates the Effects of Oncogenic PI3Kα Mutations
Huang, C.-H., Mandelker, D., Schmidt-Kittler, O., Samuels, Y., Velculescu, V. E., Kinzler, K. W., Vogelstein, B., Gabelli, S. B., & Amzel, L. M. (2007) · Science · doi:10.1126/science.1150799 · Cited by 560
Metadata
- Authors
- Lawlor, M. A., & Rotwein, P.
- Venue
- Molecular and Cellular Biology
- Publisher
- Informa UK Limited
- Published
- 2000-12
- Volume
- 20
- Issue
- 23
- Pages
- 8983-8995
- ISSN
- 0270-7306 (ISSN-L)
- 1098-5549
- OpenAlex
- W2034452980
- Cited by
- 184
- References
- 1
- FWCI
- 5.07
- 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: Insulin-Like Growth Factor-Mediated Muscle Cell Survival: Central Roles for Akt and Cyclin-Dependent Kinase Inhibitor p21. https://app.cochat.ai/papers/10.1128/mcb.20.23.8983-8995.2000
- The paper
- Lawlor, M. A., & Rotwein, P. (2000). Insulin-Like Growth Factor-Mediated Muscle Cell Survival: Central Roles for Akt and Cyclin-Dependent Kinase Inhibitor p21. Molecular and Cellular Biology. https://doi.org/10.1128/mcb.20.23.8983-8995.2000
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.