Identification of core miRNA based on small RNA-seq and RNA-seq for colorectal cancer by bioinformatics

Area of Science:

• Genomics
• Molecular Biology
• Oncology

Background:

• Colorectal cancer (CRC) poses a significant global health challenge.
• MicroRNAs (miRNAs) are increasingly recognized for their roles in cancer development and progression.
• Identifying specific miRNA targets is crucial for developing novel diagnostic and therapeutic strategies for CRC.

Purpose of the Study:

• To identify potential microRNA (miRNA) targets associated with colorectal cancer (CRC).
• To analyze differentially expressed miRNAs in tumor and metastasis tissues compared to normal tissues.
• To investigate the functional roles of identified miRNAs and their target genes in CRC.

Main Methods:

• Downloaded and analyzed Small RNA-seq and RNA-seq data from the Gene Expression Omnibus (GEO) database (GSE46622).
• Utilized bioinformatics tools (Bowtie, TopHat, Cufflinks, Cuffdiff) for data processing and differential expression analysis of miRNAs.
• Integrated multiple miRNA target prediction databases (miRanda, MirTarget2, PicTar, PITI, TargetScan, miRecords) for gene identification.

Main Results:

• Identified 49 differentially expressed miRNAs between CRC and normal samples.
• Observed distinct miRNA expression patterns in tumor and metastasis tissues, with several metastasis-specific and tumor-specific miRNAs identified.
• Selected miR-1, miR-338-5p, miR-326, and miR-490-5p as important miRNAs, with miR-338-5p targeting oncogenes RAB6B, FAP, and CTGF.

Conclusions:

• Specific miRNAs, including miR-1, miR-338-5p, and miR-326, show potential as diagnostic and therapeutic targets for colorectal cancer.
• The identified miRNA-target gene interactions provide insights into the molecular mechanisms underlying CRC progression.
• Further research into these miRNAs could lead to the development of novel biomarkers and treatment strategies for CRC.