The DOI matches its Crossref record; 3 of the 3 references it cites were found in a registry or an index.
Turnover of the Active Fraction of IRS1 Involves Raptor-mTOR- and S6K1-Dependent Serine Phosphorylation in Cell Culture Models of Tuberous Sclerosis
Open accessAbstract
The TSC1-TSC2/Rheb/Raptor-mTOR/S6K1 cell growth cassette has recently been shown to regulate cell autonomous insulin and insulin-like growth factor I (IGF-I) sensitivity by transducing a negative feedback signal that targets insulin receptor substrates 1 and 2 (IRS1 and -2). Using two cell culture models of the familial hamartoma syndrome, tuberous sclerosis, we show here that Raptor-mTOR and S6K1 are required for phosphorylation of IRS1 at a subset of serine residues frequently associated with insulin resistance, including S307, S312, S527, S616, and S636 (of human IRS1). Using loss- and gain-of-function S6K1 constructs, we demonstrate a requirement for the catalytic activity of S6K1 in both direct and indirect regulation of IRS1 serine phosphorylation. S6K1 phosphorylates IRS1 in vitro on multiple residues showing strong preference for RXRXXS/T over S/T,P sites. IRS1 is preferentially depleted from the high-speed pellet fraction in TSC1/2-deficient mouse embryo fibroblasts or in HEK293/293T cells overexpressing Rheb. These studies suggest that, through serine phosphorylation, Raptor-mTOR and S6K1 cell autonomously promote the depletion of IRS1 from specific intracellular pools in pathological states of insulin and IGF-I resistance and thus potentially in lesions associated with tuberous sclerosis.
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
TSC2 Mediates Cellular Energy Response to Control Cell Growth and Survival
Inoki, K., Zhu, T., & Guan, K.-L. (2003) · Cell · doi:10.1016/s0092-8674(03)00929-2 · Cited by 3,914
Absence of S6K1 protects against age- and diet-induced obesity while enhancing insulin sensitivity
Um, S. H., Frigerio, F., Watanabe, M., Picard, F., Joaquin, M., Sticker, M., Fumagalli, S., Allegrini, P. R., Kozma, S. C., Auwerx, J., et al. (2004) · Nature · doi:10.1038/nature02866 · Cited by 1,677
Rheb Binds and Regulates the mTOR Kinase
Long, X., Lin, Y., Ortiz-Vega, S., Yonezawa, K., & Avruch, J. (2005) · Current Biology · doi:10.1016/j.cub.2005.02.053 · Cited by 1,005
Cited by
AKT/PKB Signaling: Navigating the Network
Manning, B. D., & Toker, A. (2017) · Cell · doi:10.1016/j.cell.2017.04.001 · Cited by 3,772
Malignant astrocytic glioma: genetics, biology, and paths to treatment
Furnari, F. B., Fenton, T., Bachoo, R. M., Mukasa, A., Stommel, J. M., Stegh, A., Hahn, W. C., Ligon, K. L., Louis, D. N., Brennan, C., et al. (2007) · Genes & Development · doi:10.1101/gad.1596707 · Cited by 2,316
PI3K/AKT/mTOR signaling transduction pathway and targeted therapies in cancer
Glaviano, A., Foo, A. S. C., Lam, H. Y., Yap, K. C. H., Jacot, W., Jones, R. H., Eng, H., Nair, M. G., Makvandi, P., Geoerger, B., et al. (2023) · Molecular Cancer · doi:10.1186/s12943-023-01827-6 · Cited by 2,138
Reprogramming of fatty acid metabolism in cancer
Koundouros, N., & Poulogiannis, G. (2020) · British Journal of Cancer · doi:10.1038/s41416-019-0650-z · Cited by 1,614
Regulation of the mTOR Complex 1 Pathway by Nutrients, Growth Factors, and Stress
Sengupta, S., Peterson, T. R., & Sabatini, D. M. (2010) · Molecular Cell · doi:10.1016/j.molcel.2010.09.026 · Cited by 1,241
Metadata
- Authors
- Shah, O. J., & Hunter, T.
- Venue
- Molecular and Cellular Biology
- Publisher
- Informa UK Limited
- Published
- 2006-09-01
- Volume
- 26
- Issue
- 17
- Pages
- 6425-6434
- ISSN
- 0270-7306 (ISSN-L)
- 1098-5549
- OpenAlex
- W2096561460
- Cited by
- 178
- References
- 3
- FWCI
- 3.56
- 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: Turnover of the Active Fraction of IRS1 Involves Raptor-mTOR- and S6K1-Dependent Serine Phosphorylation in Cell Culture Models of Tuberous Sclerosis. https://app.cochat.ai/papers/10.1128/mcb.01254-05
- The paper
- Shah, O. J., & Hunter, T. (2006). Turnover of the Active Fraction of IRS1 Involves Raptor-mTOR- and S6K1-Dependent Serine Phosphorylation in Cell Culture Models of Tuberous Sclerosis. Molecular and Cellular Biology. https://doi.org/10.1128/mcb.01254-05
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.