Prediction of hsa-miR-26a target genes and application in lung development / 中华实用儿科临床杂志
Chinese Journal of Applied Clinical Pediatrics
; (24): 127-130, 2013.
Article
en Zh
| WPRIM
| ID: wpr-732931
Biblioteca responsable:
WPRO
ABSTRACT
Objective The bioinformatics software and database were involved in prediction of the target genes of hsa-miR-26a,so as to lay foundation and provide theoretical basis for the further studies of hsa-miR-26a biological function in fetal lung development.Methods All literature of miR-26a were searched in PubMed and Google ; miRBase database was used to obtain the sequence of hsa-miR-26a and to analyze its conservation.The target genes of miR-26a were predicted using miRNA target gene database miRGen2.0.TargetScans and PicTar were used to predict target genes of hsa-miR-26a.The intersection of the 2 results and validated targets from DIANA LAB-TarBase 6.0 datebase was analyzed by gene ontology and pathway analysis.Results Hsa-miR-26a had been reported in cancer,cell differentiation,organ development,the immune system as well as involved in other biological process;hsa-miR-26a was highly conservative among different species.The functions of these target genes were enriched in translation regulation,the protein modification,the regulation of celluar proliferation,apoptosis and differentiation process,kinase activity regulation,target genes exist in all of the cell components,including cell membrane,cytoplasm and nucleus.The Wnt signaling pathway,mitogen-activated protein kinase signaling pathway,transforming growth factor-β signaling pathway,the pathway of tumor p53 signaling pathways,cell cycle and adherens junction pathways were significantly enriched and prostate cancer,small cell lung cancer,colorectal cancer,renal cell cancer and glioma were mainly involved (all P < 0.05).Conclusions The target genes of hsa-miR-26a are enriched in multiple biological process.The prediction and bioinformatic analysis of miR-26a target genes lay the foundation for the further study in fetal lung development.
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Banco de datos:
WPRIM
Tipo de estudio:
Prognostic_studies
Idioma:
Zh
Año:
2013
Tipo del documento:
Article