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Proteasome activity regulates CD8+ T lymphocyte metabolism and fate specification
Christella E. Widjaja, … , Huib Ovaa, John T. Chang
Christella E. Widjaja, … , Huib Ovaa, John T. Chang
Published August 28, 2017
Citation Information: J Clin Invest. 2017;127(10):3609-3623. https://doi.org/10.1172/JCI90895.
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Research Article Immunology

Proteasome activity regulates CD8+ T lymphocyte metabolism and fate specification

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Abstract

During an immune response, CD8+ T lymphocytes can undergo asymmetric division, giving rise to daughter cells that exhibit distinct tendencies to adopt terminal effector and memory cell fates. Here we show that “pre-effector” and “pre-memory” cells resulting from the first CD8+ T cell division in vivo exhibited low and high rates of endogenous proteasome activity, respectively. Pharmacologic reduction of proteasome activity in CD8+ T cells early during differentiation resulted in acquisition of terminal effector cell characteristics, whereas enhancement of proteasome activity conferred attributes of memory lymphocytes. Transcriptomic and proteomic analyses revealed that modulating proteasome activity in CD8+ T cells affected cellular metabolism. These metabolic changes were mediated, in part, through differential expression of Myc, a transcription factor that controls glycolysis and metabolic reprogramming. Taken together, these results demonstrate that proteasome activity is an important regulator of CD8+ T cell fate and raise the possibility that increasing proteasome activity may be a useful therapeutic strategy to enhance the generation of memory lymphocytes.

Authors

Christella E. Widjaja, Jocelyn G. Olvera, Patrick J. Metz, Anthony T. Phan, Jeffrey N. Savas, Gerjan de Bruin, Yves Leestemaker, Celia R. Berkers, Annemieke de Jong, Bogdan I. Florea, Kathleen Fisch, Justine Lopez, Stephanie H. Kim, Daniel A. Garcia, Stephen Searles, Jack D. Bui, Aaron N. Chang, John R. Yates III, Ananda W. Goldrath, Hermen S. Overkleeft, Huib Ovaa, John T. Chang

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Figure 8

Proteasome activity levels in CD8+ T cells alters cellular metabolism in a Myc-dependent manner.

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Proteasome activity levels in CD8+ T cells alters cellular metabolism in...
(A) ECAR, glycolysis, or maximal glycolytic capacity of CD8+ T cells transiently treated with vehicle (black), proteasome inhibitor (red), or proteasome activator (blue) prior to activation for 72 hours. Compounds were added at specified time points. (B) Glucose uptake, as measured by 2-NBDG, in CD8+ T cells treated as in A. (C) OCR and maximal respiratory capacity in CD8+ T cells transiently treated as in A. Compounds were added at specified time points. (D) mRNA expression of genes involved in glycolysis and glutaminolysis in vehicle- or proteasome inhibitor–treated CD8+ T cells. Expression was normalized to Actb. (E) Immunoblot analysis of Myc, HIF1α, Bcl-6, ERRα, and Foxo1 in vehicle-, proteasome inhibitor–, and proteasome activator–treated CD8+ T cells. The same samples were used to probe for both ERRα and Foxo1. Molecular weights in kDa are listed. (F) FACS analysis of IFN-γ production in CD8+ T cells transiently treated with proteasome inhibitor, expressed as fold change over vehicle, followed by addition of DMSO or Myc inhibitor at 24 hours after activation. (G–I) FACS analysis of IFN-γ production, expressed as fold change over WT, in (G) HIF1α-deficient, (H) Bcl-6–deficient, or (I) Foxo1-deficient CD8+ T cells transiently treated with proteasome inhibitor. (J) Myc expression (MFI) in first-division proteasome activityloCD8hi (red) and proteasome activityhiCD8lo (blue) cells. (K) Myc expression (MFI) in recently divided (second CFSE peak) cells arising from sorted undivided (first CFSE peak) CD8+ T cells treated with proteasome inhibitor or activator, relative to control-treated cells. Data are representative of 2 (E–I) or 3 independent experiments (A–D, J, and K), n ≥ 3 replicates per group. Error bars represent SEM of 3 replicates. *P < 0.05, **P < 0.01, ***P < 0.001 (A and C, 1-way ANOVA with Dunnett’s post-test; B, D, and F–K, Student’s 2-tailed t test).
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