Related Experiment Video
Updated: Apr 22, 2026

07:07
Lung microRNA Profiling Across the Estrous Cycle in Ozone-exposed Mice
Published on: January 7, 2019
5.7K
IsomiRage: From Functional Classification to Differential Expression of miRNA Isoforms
Heiko Muller1, Matteo Jacopo Marzi1, Francesco Nicassio1
1Center for Genomic Science of IIT@SEMM, Istituto Italiano di Tecnologia (IIT) , Milan , Italy.
Frontiers in Bioengineering and Biotechnology
|October 18, 2014
Summary
microRNAs (miRNAs) exhibit significant length and sequence heterogeneity, with isoforms called isomiRs potentially altering biological functions. This study introduces a novel bioinformatics workflow to analyze miRNA variants in next-generation sequencing data, revealing widespread post-transcriptional modifications.
Area of Science:
- Genomics and Bioinformatics
- Molecular Biology
- Cancer Research
Background:
- MicroRNAs (miRNAs) are known for their sequence and length heterogeneity, leading to various isoforms (isomiRs).
- IsomiRs may possess distinct biological activities compared to canonical miRNAs, but their exploration is limited by data scarcity and analytical tool deficiencies.
- Understanding miRNA heterogeneity is crucial for a comprehensive view of gene regulation and cellular function.
Purpose of the Study:
- To develop and present a bioinformatics workflow for the comprehensive characterization and analysis of miRNA variants (isomiRs) in next-generation sequencing (NGS) datasets.
- To distinguish between canonical miRNAs, templated isomiRs, and non-templated isomiRs.
- To enable the grouping of functionally equivalent isomiRs based on modification types to assess miRNA modification patterns in specific biological contexts.
Main Methods:
- A custom bioinformatics pipeline was developed for analyzing small RNA NGS data.
- The pipeline utilizes alignment to a custom database containing canonical miRNAs and all possible 3', 5', and trimmed variants.
- The workflow categorizes isomiRs into templated (alternative dicing) and non-templated (enzymatic modifications like adenylation, uridylation) forms.
Main Results:
- The methodology increased the detection of miRNA species by 40% and identified over 1000 variants in primary epithelial breast cancer cells.
- Most identified modifications were templated isomiRs, resulting from imprecise Drosha or Dicer cleavage.
- Consistent detection of non-templated variants, particularly 3'-end adenylation and uridylation, in both normal and cancer cells suggests frequent miRNA post-transcriptional modification.
Conclusions:
- The developed analytical tool effectively deconvolutes miRNA heterogeneity, enabling detailed characterization of isomiRs.
- The findings highlight the prevalence of miRNA post-transcriptional modifications, including templated and non-templated forms.
- This workflow provides a valuable resource for exploring the functional significance of miRNA isoforms in various biological and disease contexts.
Related Concept Videos
MicroRNAs
3.0K
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...
3.0K
MicroRNAs
20.6K
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...
20.6K
MicroRNAs
9.7K
9.7K

