The DOI matches its Crossref record; 38 of the 38 references it cites were found in a registry or an index.
Sterol regulatory element–binding proteins are essential for the metabolic programming of effector T cells and adaptive immunity
Open accessAbstract
Newly activated CD8(+) T cells reprogram their metabolism to meet the extraordinary biosynthetic demands of clonal expansion; however, the signals that mediate metabolic reprogramming remain poorly defined. Here we demonstrate an essential role for sterol regulatory element-binding proteins (SREBPs) in the acquisition of effector-cell metabolism. Without SREBP signaling, CD8(+) T cells were unable to blast, which resulted in attenuated clonal expansion during viral infection. Mechanistic studies indicated that SREBPs were essential for meeting the heightened lipid requirements of membrane synthesis during blastogenesis. SREBPs were dispensable for homeostatic proliferation, which indicated a context-specific requirement for SREBPs in effector responses. Our studies provide insights into the molecular signals that underlie the metabolic reprogramming of CD8(+) T cells during the transition from quiescence to activation.
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.
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?
In the citing paper
“CD8+ T cells unable to engage acetyl-CoA–dependent lipid biosynthetic pathways display defects in antigen-driven blastogenesis and clonal expansion in response to pathogens (48).”
From Fueling Immunity: Insights into Metabolism and Lymphocyte Function (2013) · cites this paper as [48]
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
Systematic and integrative analysis of large gene lists using DAVID bioinformatics resources
Huang, D. W., Sherman, B. T., & Lempicki, R. A. (2009) · Nature Protocols · doi:10.1038/nprot.2008.211 · Cited by 35,890
Huang, D. W., Sherman, B. T., & Lempicki, R. A. (2009) · Nucleic Acids Research · doi:10.1093/nar/gkn923 · Cited by 14,108
SREBPs: activators of the complete program of cholesterol and fatty acid synthesis in the liver
Horton, J. D., Goldstein, J. L., & Brown, M. S. (2002) · Journal of Clinical Investigation · doi:10.1172/jci15593 · Cited by 4,794
SREBPs: activators of the complete program of cholesterol and fatty acid synthesis in the liver
Horton, J. D., Goldstein, J. L., & Brown, M. S. (2002) · Journal of Clinical Investigation · doi:10.1172/jci0215593 · Cited by 4,092
The transcription factor Myc controls metabolic reprogramming upon T lymphocyte activation
Wang, R., Dillon, C. P., Shi, L. Z., Milasta, S., Carter, R., Finkelstein, D., McCormick, L. L., Fitzgerald, P., Chi, H., Munger, J., et al. (2011) · Immunity · doi:10.1016/j.immuni.2011.09.021 · Cited by 2,140
Activation of a metabolic gene regulatory network downstream of mTOR complex 1
Düvel, K., Yecies, J. L., Menon, S., Raman, P., Lipovsky, A. I., Souza, A. L., Triantafellow, E., Ma, Q., Gorski, R., Cleaver, S., et al. (2010) · Molecular Cell · doi:10.1016/j.molcel.2010.06.022 · Cited by 2,020
mTOR regulates memory CD8 T-cell differentiation
Araki, K., Turner, A. P., Shaffer, V. O., Gangappa, S., Keller, S. A., Bachmann, M. F., Larsen, C. P., & Ahmed, R. (2009) · Nature · doi:10.1038/nature08155 · Cited by 1,575
Enhancing CD8 T-cell memory by modulating fatty acid metabolism
Pearce, E. L., Walsh, M. C., Cejas, P. J., Harms, G. M., Shen, H., Wang, L.-S., Jones, R. G., & Choi, Y. (2009) · Nature · doi:10.1038/nature08097 · Cited by 1,559
Mitochondrial respiratory capacity is a critical regulator of CD8+ T cell memory development
van der Windt, G. J. W., Everts, B., Chang, C.-H., Curtis, J. D., Freitas, T. C., Amiel, E., Pearce, E. J., & Pearce, E. L. (2012) · Immunity · doi:10.1016/j.immuni.2011.12.007 · Cited by 1,540
Cancer's Molecular Sweet Tooth and the Warburg Effect
Kim, J., & Dang, C. V. (2006) · Cancer Research · doi:10.1158/0008-5472.can-06-1501 · Cited by 1,233
Cited by
Sorted by citations
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
Fueling Immunity: Insights into Metabolism and Lymphocyte Function
Pearce, E. L., Poffenberger, M. C., Chang, C.-H., & Jones, R. G. (2013) · Science · doi:10.1126/science.1242454 · Cited by 1,363
T cell metabolism drives immunity
Buck, M. D., O’Sullivan, D., & Pearce, E. L. (2015) · The Journal of Experimental Medicine · doi:10.1084/jem.20151159 · Cited by 1,238
Macintyre, A. N., Gerriets, V. A., Nichols, A., Michalek, R. D., Rudolph, M. C., Deoliveira, D., Anderson, S. M., Abel, E. D., Chen, B. J., Hale, L. P., et al. (2014) · Cell Metabolism · doi:10.1016/j.cmet.2014.05.004 · Cited by 1,169
Potentiating the antitumour response of CD8+ T cells by modulating cholesterol metabolism
Yang, W., Bai, Y., Xiong, Y., Zhang, J., Chen, S., Zheng, X., Meng, X., Li, L., Wang, J., Xu, C., et al. (2016) · Nature · doi:10.1038/nature17412 · Cited by 1,010
Metadata
- Authors
- Kidani, Y., Elsaesser, H., Hock, M. B., Vergnes, L., Williams, K. J., Argus, J. P., Marbois, B. N., Komisopoulou, E., Wilson, E. B., Osborne, T. F., Graeber, T. G., Reue, K., Brooks, D. G., & Bensinger, S. J.
- Affiliations
- University of California, Los Angeles (US)
- Sanford Burnham Prebys Medical Discovery Institute (US)
- Corresponding author
- Bensinger, Steven J
- ORCID
- Venue
- Nature Immunology
- Published
- 2013-04-07
- Volume
- 14
- Issue
- 5
- Pages
- 489-499
- ISSN
- 1529-2908 (ISSN-L)
- 1529-2916
- PMC
- PMC3652626
- OpenAlex
- W2025714915
- Cited by
- 552
- References
- 38
- Citations by year
- 2026: 39 · 2025: 63 · 2024: 55 · 2023: 48 · 2022: 61 · 2021: 52 · 2020: 42 · 2019: 39 · 2018: 29 · 2017: 34 · 2016: 28 · 2015: 32 · 2014: 23 · 2013: 7
- FWCI
- 16.58
- Type
- journal article
- Language
- en
- Open access
- green
- europepmc.org
- Licence
- www.springer.com/tdm (tdm)
- Locations
- Nature Immunology (publishedVersion)
- PubMed (publishedVersion)
- Europe PMC (PubMed Central) (acceptedVersion)
- PubMed Central (acceptedVersion)
- eScholarship (California Digital Library) (submittedVersion)
- Funders
- National Heart, Lung, and Blood Institute (P01HL090553, R01HL048044)
- National Cancer Institute (T32-CA009120-36, T32CA009120)
- National Institute of General Medical Sciences (T32GM008496, T32-GM008469)
- National Institute of Allergy and Infectious Diseases (AI093768, U01AI082975, R01AI093768, R01AI085043, AI082975, AI085043)
- National Center for Research Resources (S10RR026744)
- Topics
- Life Sciences › Immunology and Microbiology › Immunology › T-cell and B-cell Immunology
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Cancer Research › Cancer, Lipids, and Metabolism
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Biochemistry › Lipid metabolism and biosynthesis
- Keywords
- SREBP, CD8+ T cells, T cell metabolic reprogramming, clonal expansion, T cell blastogenesis, membrane lipid synthesis, homeostatic proliferation, viral infection, adaptive immunity, T cell activation
- MeSH terms
- Animals, Cell Differentiation, Cells, Cultured, Lymphocyte Activation, Mice, Inbred C57BL, Mice, Mutant Strains, Signal Transduction, CD8-Positive T-Lymphocytes, Transgenes, RNA, Small Interfering, Cell Proliferation, Mice, Sterol Regulatory Element Binding Protein 1, Sterol Regulatory Element Binding Protein 2, Adaptive Immunity
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
