Bioinformatics-Assisted Extraction of All PCa miRNAs and their Target Genes

被引:0
作者
Ramu, Akilandeswari [1 ]
Chinnappan, Jayaprakash [1 ]
机构
[1] Bharathiar Univ, Dept Bioinformat, Anthropol & Hlth Informat Lab, Coimbatore, Tamil Nadu, India
关键词
Corpus; microRNAs; oncomiRs; systems biology; tumor suppressor; bioinformatics; PROSTATE-CANCER CELL; TUMOR-SUPPRESSOR; MICRORNA; INVASION; GROWTH; EXPRESSION; APOPTOSIS; MIGRATION; ADENOCARCINOMA; PROLIFERATION;
D O I
10.2174/0122115366253242231020053221
中图分类号
Q5 [生物化学]; Q7 [分子生物学];
学科分类号
071010 ; 081704 ;
摘要
Introduction To retrieve, and classify PCa miRNAs and identify the functional relationship between miRNAs and their targets through literature collection with computational analysis.Background MicroRNAs play a role in gene regulation, which can either repress or activate the gene. Hence, the functions of miRNAs are dependent on the target gene. This study will be the first of its kind to combine computational analysis with corpus PCa data. Effectively, our study reported the huge number of miRNAs associated with PCa along with functional information.Objective The identification and classification of previously known full PCa miRNAs and their targets were made possible by mining the literature data. Systems Biology and curated data mining assisted in identifying optimum miRNAs and their target genes for PCa therapy.Methods PubMed database was used to collect the PCa literature up to December 2021. Pubmed.mineR package was used to extract the microRNAs associated articles and manual curation was performed to classify the microRNAs based on the function in PCa. PPI was constructed using the STRING database. Pathway analysis was performed using PANTHER and ToppGene Suite Software. Functional analysis was performed using ShinyGO software. Cluster analysis was performed using MCODE 2.0, and Hub gene analysis was performed using cytoHubba. The gene-miRNA network was reconstructed using Cytoscape.Results Unique PCa miRNAs were retrieved and classified from mined PCa literature. Six hundred and five unique miRNAs from 250 articles were considered as oncomiRs to trigger PCa. One hundred and twenty unique miRNAs from 118 articles were considered Tumor Suppressor miRNAs to suppress the PCa. Twenty-four unique miRNAs from 22 articles were utilized as treatment miRNAs to treat PCa. miRNAs target genes and their significant pathways, functions and hub genes were identified.Conclusion miR-27a, miR-34b, miR-495, miR-23b, miR-100, miR-218, Let-7a family, miR-27a-5p, miR-34c, miR-34a, miR-143/-145, miR-125b, miR-124 and miR-205 with their target genes AKT1, SRC, CTNNB1, HRAS, MYC and TP53 are significant PCa targets.
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页码:33 / 55
页数:23
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