Student or educator? Sign up with your school email and get 6 months of Pro free.
Cited by 281

The DOI matches its Crossref record; 13 of the 13 references it cites were found in a registry or an index.

Connecting mTORC1 signaling to SREBP-1 activation

Bakan, Inan, Laplante, Mathieu·2012·Current Opinion in Lipidology

Abstract

PURPOSE OF REVIEW: The implication of the mammalian target of rapamycin (mTOR) complex 1 (mTORC1) in promoting protein synthesis has been well described. Over the past years, several studies revealed that mTORC1 also plays a crucial role in promoting lipid biosynthesis and that such connection could be linked to diseases including obesity, nonalcoholic fatty liver disease (NAFLD), and cancer. Here, we review the mechanisms by which mTORC1 regulates lipid synthesis by focusing on the key signaling events that trigger hepatic de-novo lipogenesis in response to nutrients and insulin. RECENT FINDINGS: mTORC1 promotes lipid synthesis by activating the transcription factor sterol regulatory element binding protein 1 (SREBP-1). Recent studies indicate that mTORC1 regulates SREBP-1 activation at multiple levels. Although mTORC1 was originally shown to be necessary and sufficient to activate SREBP-1 in vitro, new studies indicate that hyperactivation of mTORC1 is insufficient to trigger SREBP-1 activation and lipid biogenesis in vivo. These findings reveal that the molecular connection between mTORC1 and SREBP-1 is more complex than originally envisioned. SUMMARY: The discovery of a connection between mTORC1 and SREBP-1 opens a new chapter in our understanding of the molecular mechanisms regulating de-novo lipogenesis. A better comprehension of these mechanisms is key for the development of new tools to treat NAFLD and its complications.

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.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1097/mol.0b013e328352dd03

Cites

13 of 13 references verified0 citation errors · 0 not checkable

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.

A few free checks a day · papers already verified open instantly · results are public

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

Cited by

See all 281

Metadata

Authors
Bakan, I., & Laplante, M.
Venue
Current Opinion in Lipidology
Published
2012-06
Volume
23
Issue
3
Pages
226-234
ISSN
0957-9672 (ISSN-L)
OpenAlex
W2040962503
Cited by
281
References
13
FWCI
8.71
Type
journal article
Language
en
Open access
closed

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.