Student or educator? Sign up with your school email and get 6 months of Pro free.
Cited by 411

The DOI matches its Crossref record; 18 of the 18 references it cites were found in a registry or an index.

mTORC1 and mTORC2 selectively regulate CD8+ T cell differentiation

Open access
Pollizzi, Kristen N., Patel, Chirag H., Sun, Im-Hong, Oh, Min-Hee, Waickman, Adam T., Wen, Jiayu, Delgoffe, Greg M., Powell, Jonathan D.·2015·Journal of Clinical Investigation

Abstract

Activation of mTOR-dependent pathways regulates the specification and differentiation of CD4+ T effector cell subsets. Herein, we show that mTOR complex 1 (mTORC1) and mTORC2 have distinct roles in the generation of CD8+ T cell effector and memory populations. Evaluation of mice with a T cell-specific deletion of the gene encoding the negative regulator of mTORC1, tuberous sclerosis complex 2 (TSC2), resulted in the generation of highly glycolytic and potent effector CD8+ T cells; however, due to constitutive mTORC1 activation, these cells retained a terminally differentiated effector phenotype and were incapable of transitioning into a memory state. In contrast, CD8+ T cells deficient in mTORC1 activity due to loss of RAS homolog enriched in brain (RHEB) failed to differentiate into effector cells but retained memory characteristics, such as surface marker expression, a lower metabolic rate, and increased longevity. However, these RHEB-deficient memory-like T cells failed to generate recall responses as the result of metabolic defects. While mTORC1 influenced CD8+ T cell effector responses, mTORC2 activity regulated CD8+ T cell memory. mTORC2 inhibition resulted in metabolic reprogramming, which enhanced the generation of CD8+ memory cells. Overall, these results define specific roles for mTORC1 and mTORC2 that link metabolism and CD8+ T cell effector and memory generation and suggest that these functions have the potential to be targeted for enhancing vaccine efficacy and antitumor immunity.

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 · 10.1172/jci77746

Cites

18 of 18 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

Show all 18 references

Cited by

See all 411

Metadata

Authors
Pollizzi, K. N., Patel, C. H., Sun, I.-H., Oh, M.-H., Waickman, A. T., Wen, J., Delgoffe, G. M., & Powell, J. D.
Venue
Journal of Clinical Investigation
Published
2015-04-20
Volume
125
Issue
5
Pages
2090-2108
ISSN
0021-9738 (ISSN-L)
OpenAlex
W2130746744
Cited by
411
References
18
FWCI
18.28
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: mTORC1 and mTORC2 selectively regulate CD8+ T cell differentiation. https://app.cochat.ai/papers/10.1172/jci77746
The paper
Pollizzi, K. N., Patel, C. H., Sun, I.-H., Oh, M.-H., Waickman, A. T., Wen, J., Delgoffe, G. M., & Powell, J. D. (2015). mTORC1 and mTORC2 selectively regulate CD8+ T cell differentiation. Journal of Clinical Investigation. https://doi.org/10.1172/jci77746

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.