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MicroRNAs

MicroRNAs

MicroRNA (miRNA) are short, regulatory RNA transcribed from introns—non-coding regions of a gene—or intergenic regions—stretches of DNA present between genes. Several processing steps are required to form biologically active, mature miRNA. The initial transcript, called primary miRNA (pri-mRNA), base-pairs with itself forming a stem-loop structure. Within the nucleus, an endonuclease enzyme, called Drosha, shortens the stem-loop structure into hairpin-shaped pre-miRNA. After...

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Updated: Oct 21, 2025

Clinicopathological Analysis of miRNA Expression in Breast Cancer Tissues by Using miRNA In Situ Hybridization

Clinicopathological Analysis of miRNA Expression in Breast Cancer Tissues by Using miRNA In Situ Hybridization

Published on: June 7, 2016

DIANA-miTED: a microRNA tissue expression database.

Ioannis Kavakiotis¹, Athanasios Alexiou^1,2, Spyros Tastsoglou^1,2

¹DIANA-Lab, Dept. of Computer Science and Biomedical Informatics, Univ. of Thessaly, 35131 Lamia, Greece.

Nucleic Acids Research

|September 1, 2021

Summary

This summary is machine-generated.

DIANA-miTED is a comprehensive database of microRNA (miRNA) expression across human tissues and cell types. It provides standardized data from thousands of small RNA sequencing datasets, aiding miRNA research and biomarker discovery.

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Last Updated: Oct 21, 2025

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Area of Science:

Genomics
Molecular Biology
Bioinformatics

Background:

MicroRNAs (miRNAs) are key regulators of gene expression.
Understanding miRNA distribution is vital for functional studies and translational applications.
Existing resources lack comprehensive, standardized miRNA expression data.

Purpose of the Study:

To create the most comprehensive and systematic collection of human miRNA expression data.
To provide a standardized and manually curated dataset for enhanced utility.
To facilitate exploration and analysis of miRNA expression patterns.

Main Methods:

Analysis of 15,183 raw human small RNA-Seq datasets from SRA and TCGA.
Manual curation of metadata for standardization.
Development of interactive visualizations for data exploration.

Main Results:

Compilation of miRNA expression values from 199 tissues, 82 anatomical sublocations, 267 cell lines, and 261 diseases.
Creation of a comprehensive and standardized miRNA expression atlas.
Implementation of user-friendly visualizations for data distribution and exploration.

Conclusions:

DIANA-miTED offers an unparalleled resource for miRNA expression analysis.
The database empowers researchers without bioinformatics expertise to explore miRNA data.
It serves as an ideal starting point for miRNA expression retrieval, comparison, and downstream functional analysis.