CmirC update 2024: a multi-omics database for clustered miRNAs.

IF 3.9 4区 生物学 Q1 GENETICS & HEREDITY
Akshay Pramod Ware, Kapaettu Satyamoorthy, Bobby Paul
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Abstract

Clustered miRNAs consist of two or more miRNAs transcribed together and may coordinately regulate gene expression. Differential expression of clustered miRNAs is found to be controlled by crosstalk of genetic or epigenetic mechanisms. It has been demonstrated that clustered miRNA expression patterns greatly impact cancer cell progression. With the CmirC initiative, we initially developed a comprehensive database to identify copy number variation (CNV) driven clustered miRNAs in cancer. Now, we extended the analysis and identified three miRNAs, mir-96, mir-183, and mir-21, were found to be significantly upregulated in 17 cancer types. Further, CmirC is now upgraded to determine the impact of changes in the DNA methylation status at clustered miRNAs by utilizing The Cancer Genomic Atlas (TCGA) cancer datasets. We examined specific methylation datasets from 9,639 samples, pinpointing 215,435 methylation sites and 27,949 CpG islands with miRNA cluster information. The integrated analysis identified 34 clusters exhibiting differentially methylated CpG sites across 14 cancer types. Furthermore, we determined that CpG islands in the promoter region of 20 miRNA clusters could play a regulatory role. Along with ensuring a straightforward and convenient user experience, CmirC has been updated with improved data browsing and analysis functionalities, as well as enabled hyperlinks to literature and miR-cancer databases. The enhanced version of CmirC is anticipated to play an important role in providing information on the regulation of clustered miRNA expression, and their targeted oncogenes and tumor suppressors. The newly updated version of CmirC is available at https://slsdb.manipal.edu/cmirclust/ .

Abstract Image

CmirC 更新 2024:聚类 miRNA 的多组学数据库。
成簇的 miRNA 由两个或多个一起转录的 miRNA 组成,可协调调控基因表达。研究发现,成簇 miRNA 的差异表达受遗传或表观遗传机制的串扰控制。研究表明,成簇的 miRNA 表达模式对癌细胞的发展有很大影响。通过 CmirC 计划,我们最初开发了一个综合数据库,用于识别癌症中由拷贝数变异(CNV)驱动的成簇 miRNA。现在,我们扩展了分析范围,发现了三种 miRNA,即 mir-96、mir-183 和 mir-21,它们在 17 种癌症类型中显著上调。此外,CmirC 现已升级,可利用癌症基因组图谱(TCGA)癌症数据集确定聚类 miRNA 的 DNA 甲基化状态变化的影响。我们研究了来自 9,639 个样本的特定甲基化数据集,精确定位了 215,435 个甲基化位点和 27,949 个带有 miRNA 簇信息的 CpG 岛。综合分析发现,在 14 种癌症类型中,有 34 个群集显示出不同的 CpG 甲基化位点。此外,我们还确定了 20 个 miRNA 簇启动子区域的 CpG 岛可能起着调控作用。在确保用户体验简单方便的同时,CmirC 还更新了数据浏览和分析功能,并启用了与文献和 miR 癌症数据库的超链接。增强版 CmirC 预计将在提供有关成簇 miRNA 表达调控及其靶向致癌基因和抑癌基因的信息方面发挥重要作用。CmirC 的最新更新版本可在 https://slsdb.manipal.edu/cmirclust/ 上查阅。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
CiteScore
3.50
自引率
3.40%
发文量
92
审稿时长
2 months
期刊介绍: Functional & Integrative Genomics is devoted to large-scale studies of genomes and their functions, including systems analyses of biological processes. The journal will provide the research community an integrated platform where researchers can share, review and discuss their findings on important biological questions that will ultimately enable us to answer the fundamental question: How do genomes work?
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