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Mature T cell responses are controlled by microRNA-142.

ABSTRACT: T cell proliferation is critical for immune responses; however, the molecular mechanisms that mediate the proliferative response are poorly understood. MicroRNAs (miRs) regulate various molecular processes, including development and function of the immune system. Here, utilizing multiple complementary genetic and molecular approaches, we investigated the contribution of a hematopoietic-specific miR, miR-142, in regulating T cell responses. T cell development was not affected in animals with a targeted deletion of Mir142; however, T cell proliferation was markedly reduced following stimulation both in vitro and in multiple murine models of graft-versus-host disease (GVHD). miR-142-deficient T cells demonstrated substantial cell-cycling defects, and microarray and bioinformatics analyses revealed upregulation of genes involved in cell cycling. Moreover, 2 predicted miR-142 target genes, the atypical E2F transcription factors E2f7 and E2f8, were most highly upregulated in miR-142-deficient cells. Clustered regularly interspaced short palindromic repeat interference-mediated (CRISPRi-mediated) silencing of E2F7 and E2F8 in miR-142-deficient T cells ameliorated cell-cycling defects and reduced GVHD, and overexpression of these factors in WT T cells inhibited the proliferative response. Together, these results identify a link between hematopoietic-specific miR-142 and atypical E2F transcription factors in the regulation of mature T cell cycling and suggest that targeting this interaction may be relevant for mitigating GVHD.

SUBMITTER: Sun Y

PROVIDER: S-EPMC4563679 | biostudies-literature | 2015 Jul

REPOSITORIES: biostudies-literature

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Mature T cell responses are controlled by microRNA-142.

Sun Yaping Y Oravecz-Wilson Katherine K Mathewson Nathan N Wang Ying Y McEachin Richard R Liu Chen C Toubai Tomomi T Wu Julia J Rossi Corinne C Braun Thomas T Saunders Thomas T Reddy Pavan P

The Journal of clinical investigation 20150622 7

T cell proliferation is critical for immune responses; however, the molecular mechanisms that mediate the proliferative response are poorly understood. MicroRNAs (miRs) regulate various molecular processes, including development and function of the immune system. Here, utilizing multiple complementary genetic and molecular approaches, we investigated the contribution of a hematopoietic-specific miR, miR-142, in regulating T cell responses. T cell development was not affected in animals with a ta ...[more]

PMID: 26098216

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Project description:BackgroundMicroRNAs are known to be generated from primary transcripts mainly through the sequential cleavages by two enzymes, Drosha and Dicer. The sequence of a mature microRNA, especially the 'seeding sequence', largely determines its binding ability and specificity to target mRNAs. Therefore, methods that predict mature microRNA sequences with high accuracy will benefit the identification and characterization of novel microRNAs and their targets, and contribute to inferring the post-transcriptional regulation network at a genome scale.Methodology/principal findingsWe have developed a method, MiRmat, to predict the mature microRNA sequence. MiRmat is essentially composed of two parts: the prediction of Drosha processing site and the identification of Dicer processing site. Based on the analysis of microRNAs from 12 species, we found that the patterns of free energy profiles are conserved among vertebrate microRNA hairpins. Therefore, we introduced in our method the free energy distribution pattern of the downstream part of pri-microRNA secondary structure and Random Forest algorithm to predict the mature microRNA sequence. Based on the evaluation on an independent test dataset from 10 vertebrates, MiRmat was shown to identify 77.8% of the Drosha processing sites and 92.8% of the Dicer sites within a deviation of 2 nt. In a more stringent evaluation by excluding the microRNAs sharing the same family between the training set and test set, MiRmat kept a rather well performance of 71.9% and 87.2% of the identification rate on the Drosha and Dicer site respectively, which represents the ability to deal with the novel microRNA family. MiRmat outperforms other state-of-the-art methods and has a high degree of efficacy for the prediction of mature microRNA sequences of vertebrates.ConclusionMiRmat was developed for identifying microRNA mature sequence(s) by introducing the free energy distribution of RNA stem-loop structure and the Random Forest algorithm. We prove that MiRmat has better performance than the existing tools and is applicable among vertebrates. MiRmat is freely available at http://mcube.nju.edu.cn/jwang/lab/soft/MiRmat/.

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Mature T cell responses are controlled by microRNA-142.

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Mature T cell responses are controlled by microRNA-142.

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