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Posttranscriptional regulation of PD-1 by PRMT5/WDR77 complex shapes T cell effector function and antitumor immunity
Yinmin Gu, Yongbo Pan, Chang Pan, Qiang Pang, Zhantong Tang, Yiwen Chen, Haojing Zang, Xiaodong Wang, Chang Huang, Qingqing Zhang, Facai Yang, Xiaofeng Zhu, Yibi Zhang, Xujie Zhao, Shan Gao
Yinmin Gu, Yongbo Pan, Chang Pan, Qiang Pang, Zhantong Tang, Yiwen Chen, Haojing Zang, Xiaodong Wang, Chang Huang, Qingqing Zhang, Facai Yang, Xiaofeng Zhu, Yibi Zhang, Xujie Zhao, Shan Gao
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Research Article Genetics Immunology

Posttranscriptional regulation of PD-1 by PRMT5/WDR77 complex shapes T cell effector function and antitumor immunity

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Abstract

The regulation of the programmed cell death protein 1 (PD-1) gene, PDCD1, has been widely explored at transcription and posttranslational levels in T cell function and tumor immune evasion. However, the mechanism for PDCD1 dysregulation at the posttranscriptional level remains largely unknown. Here, we identify protein arginine methyltransferase 5 (PRMT5) as a RNA binding protein in a methyltransferase activity–independent manner, which promotes PDCD1 decay with WD repeat domain 77 protein (WDR77) and Argonaute2. Furthermore, the type-I IFN/STAT1 pathway transcriptionally activates PRMT5 and WDR77, thus enhancing PRMT5/WDR77 binding on a conserved AU-rich element of PDCD1 3′ UTR. Functionally, conditional knockout of either PRMT5 or WDR77 in T cells disrupts T cell effector function and sensitizes the tumors to anti–PD-1 therapy. Clinically, PRMT5 and WDR77 expression in tumor-infiltrating T cells are negatively correlated with PDCD1 expression and renders tumors resistant to PD-1–targeted immunotherapy. Moreover, fludarabine targeting STAT1 in combination with anti–PD-1 has a synergetic effect on suppressing tumor growth in mice. Overall, this study reveals that the RNA binding–dependent function of PRMT5 regulates PDCD1 and T cell effector function with WDR77 and identifies potential combinatorial therapeutic strategies for enhancing antitumor efficacy.

Authors

Yinmin Gu, Yongbo Pan, Chang Pan, Qiang Pang, Zhantong Tang, Yiwen Chen, Haojing Zang, Xiaodong Wang, Chang Huang, Qingqing Zhang, Facai Yang, Xiaofeng Zhu, Yibi Zhang, Xujie Zhao, Shan Gao

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Figure 1

PRMT5 and WDR77 bind to the PDCD1 3′ UTR.

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PRMT5 and WDR77 bind to the PDCD1 3′ UTR.
(A–F) qPCR assays showing the ...
(A–F) qPCR assays showing the relative mRNA abundance of F-Luc (A and D) or dual-luciferase assays showing the relative luciferase activities (B and E) and RNA stability assays showing the half lives of F-Luc (C and F) in HEK293T cells expressing PDCD1 or Pdcd1 3′ UTR reporters. ActD, Actinomycin D; NC, negative control. (G) Schematic representation for MS2 aptamer-tagged PDCD1 3′ UTR/MS2-FLAG (MS2 system) RNA pull-down system. (H) Visualization of silver-stained protein bands from HEK293T cell lysates using MS2 aptamer-tagged PDCD1 3′ UTR. Red arrows for specific bands. MW, molecular weight. IP, immunoprecipitation. (I) Mass spectrometry showing the number of identified peptides and protein ranking for ~72 KDa (#1) and 40~55 KDa (#2) from H. (J and K) Immunoblotting analysis of the specific association of PRMT5 and WDR77 with MS2 aptamer-tagged PDCD1 (J) or Pdcd-1 (K) 3′ UTR in HEK293T cells. (L and M) RIP-qPCR analysis of PDCD1 (L) or Pdcd1 (M) 3′ UTR enriched by PRMT5 and WDR77 in human (L) and mouse (M) CD8+ T cells. (N) Schematic representation for the CRISPR-assisted RNA-protein interaction detection (CARPID) workflow. (O) qPCR assays showing the specificity of the CRISPR/CasRx system for PDCD1, normalized with GADPH (P). Immunoblotting analysis of PRMT5 and WDR77 in streptavidin IP samples of control and 5 XIST gRNA sets. For A–F and O (n = 3), by unpaired 2-tailed Student’s t test; For L and M (n = 3), by 1-way ANOVA with Dunnett’s test. Data are presented as mean ± SEM or SD. *P < 0.05, **P < 0.01, ***P < 0.001.

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

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