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一种新方法可用于鉴定潜在的 Epstein-Barr 病毒 microRNAs,这些 microRNAs 可调节宿主细胞基因,与肿瘤生物学和免疫学相关。

Novel approach to identify putative Epstein-Barr-virus microRNAs regulating host cell genes with relevance in tumor biology and immunology.

机构信息

Institute for Medical Immunology, Martin-Luther-University Halle-Wittenberg, Halle, Germany.

Institute for Pathology, Martin-Luther-University Halle-Wittenberg, Halle, Germany.

出版信息

Oncoimmunology. 2022 May 1;11(1):2070338. doi: 10.1080/2162402X.2022.2070338. eCollection 2022.

Abstract

The human Epstein-Barr virus is associated with several human solid and hematopoietic malignancies. However, the underlying molecular mechanisms including virus-encoded microRNAs (miRs), which lead to the malignant transformation of infected cells and immune evasion of EBV-associated tumors, have not yet been characterized. The expression levels of numerous known EBV-specific miRs and their suitability as diagnostic and/or prognostic markers were determined in different human EBV-positive tissues followed by analyses to identify putative EBV-miR-regulated target genes, thereby offering a suitable screening strategy to overcome the limited available data sets of EBV-miRs and their targeted gene networks. Analysis of microarray data sets from healthy human B cells and malignant-transformed EBV-positive B cells of patients with Burkitt's lymphoma revealed statistically significant (p < 0.05) deregulated genes with known functions in oncogenic properties, immune escape and anti-tumoral immune responses. Alignments of and data resulted in the prediction of putative candidate EBV-miRs and their target genes. Thus, a combinatorial approach of bioinformatics, transcriptomics and expression analyses is a promising tool for the identification of EBV-miRs and their potential targets as well as their eligibility as markers for EBV detection in different EBV-associated human tissue.

摘要

人类 Epstein-Barr 病毒与几种人类实体瘤和造血系统恶性肿瘤有关。然而,导致感染细胞恶性转化和 EBV 相关肿瘤免疫逃逸的潜在分子机制,包括病毒编码的 microRNAs(miRs),尚未得到阐明。在不同的 EBV 阳性组织中确定了大量已知的 EBV 特异性 miR 的表达水平及其作为诊断和/或预后标志物的适用性,随后进行分析以鉴定可能的 EBV-miR 调控靶基因,从而提供了一种合适的筛选策略,以克服 EBV-miRs 及其靶向基因网络的有限可用数据集。对来自健康人 B 细胞和伯基特淋巴瘤患者恶性转化的 EBV 阳性 B 细胞的微阵列数据集进行分析,揭示了具有致癌特性、免疫逃逸和抗肿瘤免疫反应的已知功能的统计学上显著(p<0.05)失调基因。和 数据的比对导致了推测的 EBV-miRs 和它们的靶基因的预测。因此,生物信息学、转录组学和 表达分析的组合方法是一种很有前途的工具,可以识别 EBV-miRs 及其潜在靶标,以及它们作为 EBV 检测在不同 EBV 相关人类组织中的标志物的资格。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0dc0/9067544/440f0f49408e/KONI_A_2070338_F0001_OC.jpg

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