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DIANA-miTED:一个 microRNA 组织表达数据库。

DIANA-miTED: a microRNA tissue expression database.

机构信息

DIANA-Lab, Dept. of Computer Science and Biomedical Informatics, Univ. of Thessaly, 35131 Lamia, Greece.

Hellenic Pasteur Institute, 11521 Athens, Greece.

出版信息

Nucleic Acids Res. 2022 Jan 7;50(D1):D1055-D1061. doi: 10.1093/nar/gkab733.

DOI:10.1093/nar/gkab733
PMID:34469540
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC8728140/
Abstract

microRNAs (miRNAs) are short (∼23nt) single-stranded non-coding RNAs that act as potent post-transcriptional gene expression regulators. Information about miRNA expression and distribution across cell types and tissues is crucial to the understanding of their function and for their translational use as biomarkers or therapeutic targets. DIANA-miTED is the most comprehensive and systematic collection of miRNA expression values derived from the analysis of 15 183 raw human small RNA-Seq (sRNA-Seq) datasets from the Sequence Read Archive (SRA) and The Cancer Genome Atlas (TCGA). Metadata quality maximizes the utility of expression atlases, therefore we manually curated SRA and TCGA-derived information to deliver a comprehensive and standardized set, incorporating in total 199 tissues, 82 anatomical sublocations, 267 cell lines and 261 diseases. miTED offers rich instant visualizations of the expression and sample distributions of requested data across variables, as well as study-wide diagrams and graphs enabling efficient content exploration. Queries also generate links towards state-of-the-art miRNA functional resources, deeming miTED an ideal starting point for expression retrieval, exploration, comparison, and downstream analysis, without requiring bioinformatics support or expertise. DIANA-miTED is freely available at http://www.microrna.gr/mited.

摘要

microRNAs (miRNAs) 是短链(约 23nt)的单链非编码 RNA,作为强大的转录后基因表达调控因子。了解 miRNA 在细胞类型和组织中的表达和分布信息对于理解它们的功能以及将其作为生物标志物或治疗靶点的转化应用至关重要。DIANA-miTED 是从 15183 个人类小 RNA-Seq(sRNA-Seq)数据集的序列读取档案(SRA)和癌症基因组图谱(TCGA)中分析得出的 miRNA 表达值的最全面和系统的集合。元数据质量最大限度地提高了表达图谱的实用性,因此我们手动整理了 SRA 和 TCGA 衍生的信息,以提供全面和标准化的数据集,总共包含 199 种组织、82 个解剖亚区、267 种细胞系和 261 种疾病。miTED 提供了请求数据在变量之间的表达和样本分布的丰富即时可视化,以及研究范围的图表和图形,便于高效地探索内容。查询还生成了与 miRNA 功能资源的链接,使得 miTED 成为表达检索、探索、比较和下游分析的理想起点,而无需生物信息学支持或专业知识。DIANA-miTED 可在 http://www.microrna.gr/mited 免费获得。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8e64/8728140/a7b1b44715f3/gkab733fig3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8e64/8728140/926eb8f11ff0/gkab733fig1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8e64/8728140/d8fbd12c8d9f/gkab733fig2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8e64/8728140/a7b1b44715f3/gkab733fig3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8e64/8728140/926eb8f11ff0/gkab733fig1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8e64/8728140/d8fbd12c8d9f/gkab733fig2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8e64/8728140/a7b1b44715f3/gkab733fig3.jpg

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