Cited by 2,204Cancer, Hypoxia, and MetabolismT-cell and B-cell ImmunologyMetabolism, Diabetes, and Cancer

Posttranscriptional Control of T Cell Effector Function by Aerobic Glycolysis

Open access
Chang, Chih-Hao, Curtis, Jonathan D., Maggi, Leonard B., Faubert, Brandon, Villarino, Alejandro V., O’Sullivan, David, Huang, Stanley Ching-Cheng, van der Windt, Gerritje J.W. +6 more·2013·Cell

Abstract

SUMMARY A “switch” from oxidative phosphorylation (OXPHOS) to aerobic glycolysis is a hallmark of T cell activation and is thought to be required to meet the metabolic demands of proliferation. However, why proliferating cells adopt this less efficient metabolism, especially in an oxygen-replete environment, remains incompletely understood. We show here that aerobic glycolysis is specifically required for effector function in T cells but that this pathway is not necessary for proliferation or survival. When activated T cells are provided with costimulation and growth factors but are blocked from engaging glycolysis, their ability to produce IFN-γ is markedly compromised. This defect is translational and is regulated by the binding of the glycolysis enzyme GAPDH to AU-rich elements within the 3′ UTR of IFN-γ mRNA. GAPDH, by engaging/disengaging glycolysis and through fluctuations in its expression, controls effector cytokine production. Thus, aerobic glycolysis is a metabolically regulated signaling mechanism needed to control cellular function.

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 · 10.1016/j.cell.2013.05.016

Cites

46 of 46 references verified0 citation errors · 0 not checkable

Statistics

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

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

  • Post-transcriptional regulation is important in T cell differentiation and function.

    “and the importance of post-transcriptional regulation in T cell differentiation and function26.”

    From Proteotoxic stress response drives T cell exhaustion and immune evasion (2025) · cites this paper as [26]

    The Discussion (p. 10) states that GAPDH posttranscriptionally regulates T cell effector function by reducing cytokine translation. It supports the claim about function, but the passages do not establish a role for post-transcriptional regulation in T cell differentiation. (LLM, conf=0.85)

    Experimental — accuracy not yet measured
  • Cancer cells compete with immune cells for glucose uptake (by SLC2A1/GLUT1), produce lactic acid (by LDHA), and generate an acidic extracellular milieu (through the activity of CA9), all of which are immunosuppressive.

    “Cancer cells compete with immune cells for glucose uptake (by SLC2A1/GLUT1), produce lactic acid (by LDHA), and generate an acidic extracellular milieu (through the activity of CA9), all of which are immunosuppressive (77–86).”

    From HIF inhibitor 32-134D eradicates murine hepatocellular carcinoma in combination with anti-PD1 therapy (2022) · cites this paper as [79]

    The coculture results (p. 9) show that lymphoma cells depleted glucose available to CD4 T cells and reduced their IFNγ production. The Introduction (p. 1) says cancer cells can produce lactate through glycolysis, but the Discussion (p. 10) only raises lactate-mediated suppression as a possibility. Our copy does not identify SLC2A1/GLUT1, LDHA, or CA9 in these processes, or establish a CA9-driven acidic extracellular milieu as immunosuppressive. (LLM, conf=0.88)

    Experimental — accuracy not yet measured
  • The glycolytic metabolic pathway promotes IFN-γ expression and T cell effector function.

    “It is known that the glycolytic metabolic pathway promotes IFN-γ expression and T cell effector function20,24–27.”
  • Oligomycin blocks expression of early activation markers after TCR ligation and blunts subsequent T cell proliferation.

    “Oligomycin, a specific inhibitor of mitochondrial ATP synthase, can block the expression of early activation markers after TCR ligation and blunts subsequent T cell proliferation (27), suggesting that the naïve-to-effector transition requires either de novo production of ATP by mitochondria or specific signals generated during mitochondrial ATP production.”
  • GAPDH, by engaging or disengaging the glycolysis pathway and through fluctuations in its expression, regulates the posttranscriptional production of IFN-γ by T cells.

    “Lending weight to the REM network hypothesis is a recent study showing that the enzyme glyceraldehyde-3-phosphate dehydrogenase (GAPDH), by engaging or disengaging the glycolysis pathway and through fluctuations in its expression, regulates the posttranscriptional production of IFN-γ by T cells (27).”

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Cites

Flagged first, then by citations

Cited by

Sorted by citations

Authors
Chang, C.-H., Curtis, J. D., Maggi, L. B., Faubert, B., Villarino, A. V., O’Sullivan, D., Huang, S. C.-C., van der Windt, G. J. W., Blagih, J., Qiu, J., Weber, J. D., Pearce, E. J., Jones, R. G., & Pearce, E. L.
Affiliations
  • Washington University in St. Louis (US)
  • McGill University (CA)
  • National Institutes of Health (US)
Corresponding author
Pearce, Erika L.
Venue
Cell
Publisher
Elsevier BV
Published
2013-06
Volume
153
Issue
6
Pages
1239-1251
ISSN
0092-8674 (ISSN-L)
OpenAlex
W2146791037
Cited by
2,204
References
46
Citations by year
2026: 142 · 2025: 180 · 2024: 193 · 2023: 188 · 2022: 232 · 2021: 235 · 2020: 219 · 2019: 176 · 2018: 176 · 2017: 144 · 2016: 128 · 2015: 93 · 2014: 72 · 2013: 23
FWCI
36.82
Type
journal article
Language
en
Open access
Locations
  • Cell (publishedVersion)
  • PubMed (publishedVersion)
  • Pure Amsterdam UMC (publishedVersion)
  • Europe PMC (PubMed Central) (acceptedVersion)
  • PubMed Central (acceptedVersion)
  • Data Archiving and Networked Services (DANS) (submittedVersion)
  • MPG.PuRe (Max Planck Society) (submittedVersion, other-oa)
Funders
  • McGill University
  • National Institutes of Health
  • Canadian Institutes of Health Research (MOP-93 799)
  • National Cancer Institute (CA158823, CA164062, R21CA158823, R01CA164062)
  • National Institute of Allergy and Infectious Diseases (R01AI091965, AI 091965)
Topics
  • Life Sciences › Biochemistry, Genetics and Molecular Biology › Cancer Research › Cancer, Hypoxia, and Metabolism
  • Life Sciences › Immunology and Microbiology › Immunology › T-cell and B-cell Immunology
  • Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Metabolism, Diabetes, and Cancer
Keywords
aerobic glycolysis, T cell effector function, post-transcriptional regulation, glyceraldehyde-3-phosphate dehydrogenase, AU-rich elements, IFN-gamma production, oxidative phosphorylation, T cell metabolism, 3' untranslated region, cytokine gene expression, translational regulation
MeSH terms
Animals, Glyceraldehyde-3-Phosphate Dehydrogenases, Glycolysis, Interferon-gamma, Listeriosis, Listeria monocytogenes, Lymphocyte Activation, Mice, Inbred C57BL, Oxidative Phosphorylation, T-Lymphocytes, Protein Biosynthesis, 3' Untranslated Regions, Cell Proliferation, Mice

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