Literature DB >> 28468585

Suppression subtractive hybridization identified differentially expressed genes in colorectal cancer: microRNA-451a as a novel colorectal cancer-related gene.

Ke Xu1, Yuan-Yuan Zhang1, Bin Han1, Yang Bai1, Yao Xiong1, Yi Song2, Li-Ming Zhou1,3.   

Abstract

To investigate differentially expressed genes regulated by microRNA-451a in colorectal cancer. We detected expression of microRNA-451a in colorectal cancer samples and normal pericarcinous tissues from 68 colorectal cancer patients and the correlation between microRNA-451a and clinical features of these patients. Then, the expression of microRNA-451a in HCT116, SW620, HT29, SW480, and DLD cells was also measured. The suppression subtractive hybridization method was used with two HCT116 cell lines with overexpressing or underexpressing microRNA-451a, respectively. The most highly increased genes were screened. Their functions were predicted by gene ontology analysis. The expression ratio of microRNA-451a in colorectal cancer to pericarcinous tissues was 0.37. Expression of microRNA-451a was decreased in HCT116, SW620, HT29, SW480, and DLD cells. In our suppression subtractive hybridization library, expression of seven genes was the most highly increased when underexpressing microRNA-451a. They were BCAP31, EEF1A1, CDC20, WDR6, TUFM, RPL13, and RPL7A. Expression of DKK1, PSME1, NDUFA3, and GNB2 was most highly increased when overexpressing microRNA-451a. Gene ontology analysis showed that the main functions of these genes were associated with translational elongation, protein localization to the endoplasmic reticulum, translation, poly(A) RNA binding, negative regulations of Wnt signaling pathway, and so on. MicroRNA-451a was demonstrated to be downregulated in colorectal cancer patient tissues whose target genes were analyzed and functions were predicted by suppression subtractive hybridization.

Entities:  

Keywords:  MicroRNA-451a; colorectal cancer; gene ontology analysis; suppression subtractive hybridization library

Mesh:

Substances:

Year:  2017        PMID: 28468585     DOI: 10.1177/1010428317705504

Source DB:  PubMed          Journal:  Tumour Biol        ISSN: 1010-4283


  6 in total

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