The DOI matches its Crossref record; 4 of the 4 references it cites were found in a registry or an index.
E2F1 Regulates Cellular Growth by mTORC1 Signaling
Open accessAbstract
During cell proliferation, growth must occur to maintain homeostatic cell size. Here we show that E2F1 is capable of inducing growth by regulating mTORC1 activity. The activation of cell growth and mTORC1 by E2F1 is dependent on both E2F1's ability to bind DNA and to regulate gene transcription, demonstrating that a gene induction expression program is required in this process. Unlike E2F1, E2F3 is unable to activate mTORC1, suggesting that growth activity could be restricted to individual E2F members. The effect of E2F1 on the activation of mTORC1 does not depend on Akt. Furthermore, over-expression of TSC2 does not interfere with the effect of E2F1, indicating that the E2F1-induced signal pathway can compensate for the inhibitory effect of TSC2 on Rheb. Immunolocalization studies demonstrate that E2F1 induces the translocation of mTORC1 to the late endosome vesicles, in a mechanism dependent of leucine. E2F1 and leucine, or insulin, together affect the activation of S6K stronger than alone suggesting that they are complementary in activating the signal pathway. From these studies, E2F1 emerges as a key protein that integrates cell division and growth, both of which are essential for cell proliferation.
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
The Rag GTPases Bind Raptor and Mediate Amino Acid Signaling to mTORC1
Sancak, Y., Peterson, T. R., Shaul, Y. D., Lindquist, R. A., Thoreen, C. C., Bar-Peled, L., & Sabatini, D. M. (2008) · Science · doi:10.1126/science.1157535 · Cited by 2,773
Phosphorylation and Functional Inactivation of TSC2 by Erk
Ma, L., Chen, Z., Erdjument-Bromage, H., Tempst, P., & Pandolfi, P. P. (2005) · Cell · doi:10.1016/j.cell.2005.02.031 · Cited by 1,268
Ribosomal S6 Kinase Signaling and the Control of Translation
Dufner, A., & Thomas, G. (1999) · Experimental Cell Research · doi:10.1006/excr.1999.4683 · Cited by 676 · cited 2×
“Activation of the kinase activity of mTORC1 drives phosphorylation and inactivation of the eukaryotic translation initiation factor 4E-binding protein 4E-BP, a repressor of translation initiation, and phosphorylation and activation of ribosomal protein S6 kinase 1 (S6K1) [8,9].”
BackgroundCastro, A. F., Rebhun, J. F., Clark, G. J., & Quilliam, L. A. (2003) · Journal of Biological Chemistry · doi:10.1074/jbc.c300226200 · Cited by 381
Cited by
Best practices in data analysis and sharing in neuroimaging using MRI
Nichols, T. E., Das, S., Eickhoff, S. B., Evans, A. C., Glatard, T., Hanke, M., Kriegeskorte, N., Milham, M. P., Poldrack, R. A., Poline, J.-B., et al. (2017) · Nature Neuroscience · doi:10.1038/nn.4500 · Cited by 714
Motivation and cognitive control in depression
Grahek, I., Shenhav, A., Musslick, S., Krebs, R. M., & Koster, E. H. W. (2019) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2019.04.011 · Cited by 348
Transformer protein language models are unsupervised structure learners
Rao, R., Meier, J., Sercu, T., Ovchinnikov, S., & Rives, A. (2020) · doi:10.1101/2020.12.15.422761 · Cited by 341
Impact of meditation training on the default mode network during a restful state
Taylor, V. A., Daneault, V., Grant, J., Scavone, G., Breton, E., Roffe-Vidal, S., Courtemanche, J., Lavarenne, A. S., Marrelec, G., Benali, H., et al. (2013) · Social Cognitive and Affective Neuroscience · doi:10.1093/scan/nsr087 · Cited by 307
Beckwith, K. S., Beckwith, M. S., Ullmann, S., Sætra, R. S., Kim, H., Marstad, A., Åsberg, S. E., Strand, T. A., Haug, M., Niederweis, M., et al. (2020) · Nature Communications · doi:10.1038/s41467-020-16143-6 · Cited by 282
Metadata
- Authors
- Real, S., Meo-Evoli, N., Espada, L., & Tauler, A.
- Venue
- PLoS ONE
- Publisher
- Public Library of Science (PLoS)
- Published
- 2011-01-24
- Volume
- 6
- Issue
- 1
- Pages
- e16163
- ISSN
- 1932-6203 (ISSN-L)
- OpenAlex
- W2040756306
- Cited by
- 814
- References
- 4
- FWCI
- 9.17
- 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
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: E2F1 Regulates Cellular Growth by mTORC1 Signaling. https://app.cochat.ai/papers/10.1371/journal.pone.0016163
- The paper
- Real, S., Meo-Evoli, N., Espada, L., & Tauler, A. (2011). E2F1 Regulates Cellular Growth by mTORC1 Signaling. PLoS ONE. https://doi.org/10.1371/journal.pone.0016163
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.
