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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 the pre-miRNA...

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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Related Experiment Video

Updated: Nov 9, 2025

Analysis of Combinatorial miRNA Treatments to Regulate Cell Cycle and Angiogenesis

Analysis of Combinatorial miRNA Treatments to Regulate Cell Cycle and Angiogenesis

Published on: March 30, 2019

Micro-RNA Quantification, Target Gene Identification, and Pathway Analysis.

Gabriele Sales¹, Enrica Calura²

¹Department of Biology, University of Padova, Padova, Italy. gabriele.sales@unipd.it.

Methods in Molecular Biology (Clifton, N.J.)

|April 9, 2021

Summary

This summary is machine-generated.

This study presents a workflow for analyzing small RNA sequencing data to identify disease biomarkers. The methods enable the discovery of microRNA signatures linked to altered biological processes.

Keywords:

Micro-RNA Pathways Quantification Sequencing Target genes Target predictions

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Last Updated: Nov 9, 2025

Analysis of Combinatorial miRNA Treatments to Regulate Cell Cycle and Angiogenesis

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Probe-based Real-time PCR Approaches for Quantitative Measurement of microRNAs

Probe-based Real-time PCR Approaches for Quantitative Measurement of microRNAs

Published on: April 14, 2015

Area of Science:

Bioinformatics
Molecular Biology
Genomics

Background:

Small RNA sequencing is crucial for profiling gene expression in tissues and liquid biopsies.
Identifying disease-specific biomarkers requires robust data analysis and pathway interpretation.

Purpose of the Study:

To detail a comprehensive workflow for processing and analyzing small RNA sequencing data.
To enable the identification of differentially expressed microRNAs and associated molecular signatures.

Main Methods:

Data preprocessing including adapter trimming and quality control.
Read alignment and gene-level abundance estimation.
Normalization, differential expression analysis, and pathway analysis.

Main Results:

A standardized pipeline for small RNA sequencing data analysis.
Identification of microRNAs with altered expression between sample groups.
Discovery of molecular signatures reflecting biological process alterations.

Conclusions:

The described workflow facilitates the identification of disease biomarkers using small RNA sequencing.
Pathway analysis of microRNA expression data reveals key biological alterations relevant to disease states.