| Literature DB >> 29728568 |
Shuzo Teruya1, Tomohisa Okamura2,3,4, Toshihiko Komai1, Mariko Inoue1, Yukiko Iwasaki1, Shuji Sumitomo1, Hirofumi Shoda1, Kazuhiko Yamamoto1,5,6, Keishi Fujio7.
Abstract
Programmed death ligand 1 (PD-L1)-mediated induction of immune tolerance has been vigorously investigated in autoimmunity and anti-tumor immunity. However, details of the mechanism by which PD-L1 is induced in CD4+ T cells are unknown. Here, we revealed the potential function of Klf1 and Egr2-mediated induction of PD-L1 in CD4+ T cells. We focused on the molecules specifically expressed in CD4+CD25-LAG3+ regulatory T cells (LAG3+ Tregs) highly express of PD-L1 and transcription factor Egr2. Although ectopic expression of Egr2 induced PD-L1, a deficiency of Egr2 did not affect its expression, indicating the involvement of another PD-L1 induction mechanism. Comprehensive gene expression analysis of LAG3+ Tregs and in silico binding predictions revealed that Krüppel-like factor 1 (Klf1) is a candidate inducer of the PD-L1 gene (Cd274). Klf1 is a transcription factor that promotes β-globin synthesis in erythroid progenitors, and its role in immunological homeostasis is unknown. Ectopic expression of Klf1 induced PD-L1 in CD4+ T cells through activation of the PI3K-mTOR signaling pathway, independent of STATs signaling and Egr2 expression. Our findings indicate that Klf1 and Egr2 are modulators of PD-L1-mediated immune suppression in CD4+ T cells and might provide new insights into therapeutic targets for autoimmune diseases and malignancies.Entities:
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Year: 2018 PMID: 29728568 PMCID: PMC5935736 DOI: 10.1038/s41598-018-25302-1
Source DB: PubMed Journal: Sci Rep ISSN: 2045-2322 Impact factor: 4.379
Figure 1Egr2-mediated PD-L1 induction in CD4+ T cells. (a) LAG3 expression in splenocytes from C57BL/6 (B6) mice was analyzed by flow cytometry (FCM). CD25+ Tregs: CD4+CD25+ T cells; naïve T: CD4+CD25−CD45RBhigh T cells; LAG3+ Tregs: CD4+CD25−CD45RBlowLAG3+ T cells. (b) PD-L1 expression in T cell subsets. Histograms are gated on CD4+ T cells (left). Data are representative of three independent experiments. Mean fluorescence intensity (MFI) of the indicated T cell subsets is shown (right). (n = 3 per group). *p < 0.001 (Bonferroni’s multiple comparison test) (c) Quantitative PCR assessing Egr2 mRNA expression in the indicated T cell subsets (n = 3 per group). (d) Retroviral constructs of pMIG vector for the transduction of Egr2. (e) Evaluation of PD-L1 expression in Egr2 gene-transduced CD4+ T cells. MFI ratio represents the PD-L1 MFI signals of GFP negative versus GFP positive. Plots and histogram are the representative of 3 independent experiments.
Figure 2PD-L1 expression in CD4+ T cells that were Egr2-deficient. (a) PD-L1 expression in splenocytes from T cell-specific Egr2 conditional knockout (Egr2CD4Cre+: Egr2 CKO) mice and control mice analyzed by FCM. (b) CD4+ T cells purified from each mouse were analyzed by FCM after 48 h stimulation with the indicated concentration of anti-CD3ε/anti-CD28 antibodies. Histograms are the representative of 3 independent experiments.
Figure 3Egr2-independent induction of PD-L1 expression in CD4+ T cells by ectopic expression of Klf1. (a) Venn diagram representing the genomic overlap between LAG3+ Tregs specific transcription factors from microarray analysis of CD4+ T cell subsets from ArrayExpress database (E-MEXP-1343) and PD-L1-inducible candidate genes predicted by JASPAR database. (b) Gene expression levels of Klf1 in CD4+ T cells. Klf1 gene expression in indicated T cell subsets relative to unstimulated naïve CD4+ cells using micro array data set as in (a) (left) and relative to Actb mRNA of each indicated T cell subset confirmed by qRT-PCR (right). *p < 0.001 (Bonferroni’s multiple comparison test) (c) Evaluation of PD-L1 expression in Klf1 gene-transduced CD4+ T cells. Klf1 cDNA was inserted into the retrovirus vector, pMIG with a GFP reporter gene. pMIG-Mock or pMIG-Klf1 was transfected into CD4+ T cells. MFI ratio represents the PD-L1 MFI signals of GFP negative versus GFP positive. (d) GFP+ and GFP- cells in (c) were fractionated and mRNA expression of Cd274 (encoding PD-L1) was evaluated by qRT-PCR (n = 3). (e,f) Egr2 and Klf1 mRNA expression was evaluated by qRT-PCR using the cells transfected in (c) and Fig. 1d. (g) Klf1 and Cd274 mRNA expression in Klf1 gene-transduced CD4+ T cells from Egr2CD4Cre+ mice was evaluated by qRT-PCR (n = 3). *p < 0.05; n.s.: not significant (unpaired two-tailed Student’s t-test) Plots are representative of 3 independent experiments.
Figure 5Klfl-mediated PD-L1 induction requires the activation of PI3K-mTOR signaling pathway. (a) Splenocytes from each Stat-deficient or WT mouse were transfected with a pMIG-Mock or pMIG-Klf1 vector. PD-L1 expression levels were assessed by FCM 48 h after the transfection. In the Stat1 KO mouse, anti-CD3ε/anti-CD28 stimulation was used whereas Concanavalin A (ConA) stimulation was used for the other KO mice. (b) Phosphorylation of Akt and S6K was analyzed by Western blotting. The indicated blots were derived from the same experiments. Full length blots are presented in Supplementary Figure S4. (c) Splenocytes from B6 mice were transfected with pMIG-Mock or pMIG-Klf1 and the indicated inhibitors were added 24 h later. Then, cells were cultured for 48 h and PD-L1 expression was evaluated by FCM. The proportion of cells expressing PD-L1 at high levels was compared between the GFP-positive and GFP-negative groups. (n = 3). Control: without inhibitor; SP 600125: JNK1/2/3 inhibitor (5 μM); SB 203580: MAPK-p38 inhibitor (20 μM); PD 98059: MEK/ERK inhibitor (50 μM); LY 294002: PI3K inhibitor 20 μM); Torin: mTOR inhibitor (200 nM). *p < 0.01 (Bonferroni’s multiple comparison test). Plots are representative of 3 independent experiments.
Figure 4Comprehensive analysis of gene expression profiles in Klf1-transduced CD4+ T cells. (a) Sorting strategy for next generation sequencing (NGS) of Klf1-gene-transduced CD4+ T cells. Splenocytes from WT mice were transfected with pMIG-Mock or pMIG-Klf1 vector according to their GFP expression. (b) Principal component analysis plots for NGS data of the indicated CD4+ T cell subsets as in (a,c) Differentially expressed genes of NGS data sets in (b) were analyzed by pathway analysis tool Ingenuity Pathway Analysis (IPA) software. The top 10 most significantly enriched canonical pathways in IPA are shown.