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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 3

Modulation of proteasome activity influences CD8+ T cell function in vitro.

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Modulation of proteasome activity influences CD8+ T cell function in vit...
(A) Proteasome activity, assessed by in-gel assay, of naive CD8+ T cells following 4 hours of culture with vehicle, proteasome inhibitor, or proteasome activator. Immunoblotting was performed with anti–β-actin antibodies to confirm equal loading of samples. (B) Proteasome activity, assessed by flow cytometry, of cells cultured with vehicle (black line), proteasome inhibitor (red line), or proteasome activator (blue line). (C) Proteasome activity, assessed by bioluminescent chymotrypsin-like proteolytic assay, of cells cultured with proteasome inhibitor (red bar) or proteasome activator (blue bar) and normalized to vehicle control (black bar). (D) Flow cytometry analysis (left) and MFI (right) of T-bet and IRF4 at 72 hours after activation in CD8+ T cells transiently treated for 4 hours with vehicle, proteasome inhibitor, or proteasome activator prior to activation with anti-CD3 and anti-CD28 antibodies. (E) Percent specific cytotoxicity of OT-I CD8+ T cells treated transiently with vehicle (black line), proteasome inhibitor (red line), or proteasome activator (blue line) prior to culture with T cell–depleted splenocytes and OVA peptide. CD8+ T cells were incubated with an equal ratio of peptide-pulsed and unpulsed splenocytes in varying effector cell to target cell ratios. Cytotoxicity was calculated as the difference in the percentage of live events between pulsed and unpulsed target cells, normalized to the live percentage of unpulsed target cells. Data are representative of at least 2 independent experiments (A–C) or least 3 biologic replicates from 3 independent experiments (D and E). Error bars represent SEM of 3 replicates. *P < 0.05, **P < 0.01, ***P < 0.001 (C and D, 1-way ANOVA with Dunnett’s post-test; E, repeated measures 1-way ANOVA).

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ISSN: 0021-9738 (print), 1558-8238 (online)

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