IsomiR_Find

IsomiR_Find identifies phenotype-related single nucleotide polymorphisms (SNPs) and isoform microRNAs (isomiRs) by mapping 1000 Genomes Project SNPs onto pre-miRNA sequences and verifying isomiRs with individual miRNA sequencing data to support disease risk assessment and biomarker discovery.


Key Features:

  • Integration of SNP Data: Maps SNPs from the 1000 Genomes Project to pre-miRNA sequences using whole-genome coordinates to locate variants that may influence miRNA splicing mechanisms.
  • Construction of SNP-Pre-miRNA Sequences: Constructs SNP-pre-miRNA sequences to assess how genetic variants may impact miRNA maturation and functionality.
  • Identification of Splicing Sites: Incorporates matpred2 to identify the four splicing sites of mature miRNAs for pinpointing isomiRs arising from alternative processing.
  • Verification through Sequencing Data: Verifies the presence and relevance of identified isomiRs using individual miRNA sequencing data.

Scientific Applications:

  • Disease Risk Assessment: Identifies phenotype-related SNPs and isomiRs to inform disease risk assessment, including cancer-related phenotypes.
  • Biomarker Discovery: Supports discovery of novel miRNA-based biomarkers by linking SNP-induced isomiRs to specific phenotypes.
  • Functional Mining of miRNAs and SNPs: Enables exploration of the functional implications of SNPs on miRNA processing and function via isomiR identification.

Methodology:

Maps SNPs from the 1000 Genomes Project to pre-miRNA sequences using whole-genome coordinates, constructs SNP-pre-miRNA sequences, applies matpred2 to identify the four splicing sites of mature miRNAs, and verifies isomiRs with individual miRNA sequencing data in an analysis of individual samples.

Topics

Details

Tool Type:
command-line tool
Programming Languages:
Perl
Added:
11/14/2019
Last Updated:
12/14/2020

Operations

Publications

Wang Y, Ru J, Jin T, Sun M, Jia L, Sun G. An Approach to Identify Individual Functional Single Nucleotide Polymorphisms and Isoform MicroRNAs. BioMed Research International. 2019;2019:1-11. doi:10.1155/2019/6193673. PMID:31467902. PMCID:PMC6699389.

PMID: 31467902
PMCID: PMC6699389
Funding: - Youth Science Fund of Heilongjiang Province of China: 135109246, GYGG-201709, GYGG-201915, QC2017079 - Fundamental Research Funds in Heilongjiang Provincial Universities: 135109246, GYGG-201709, GYGG-201915, QC2017079 - Science and Technology Project of Qiqihar: 135109246, GYGG-201709, GYGG-201915, QC2017079