NDLI: Hsa-miR-195 targets PCMT1 in hepatocellular carcinoma that increases tumor life span

Content Provider	Springer Nature Link
Author	Amer, Marwa Elhefnawi, M. El Ahwany, Eman Awad, A. F. Gawad, Nermen Abdel Zada, Suher Tawab, F. M. Abdel
Copyright Year	2014
Abstract	MicroRNAs are small 19–25 nucleotides which have been shown to play important roles in the regulation of gene expression in many organisms. Downregulation or accumulation of miRNAs implies either tumor suppression or oncogenic activation. In this study, differentially expressed hsa-miR-195 in hepatocellular carcinoma (HCC) was identified and analyzed. The prediction was done using a consensus approach of tools. The validation steps were done at two different levels in silico and in vitro. FGF7, GHR, PCMT1, CITED2, PEX5, PEX13, NOVA1, AXIN2, and TSPYL2 were detected with high significant (P < 0.005). These genes are involved in important pathways in cancer like MAPK signaling pathway, Jak-STAT signaling pathways, regulation of actin cytoskeleton, angiogenesis, Wnt signaling pathway, and TGF-beta signaling pathway. In vitro target validation was done for protein-l-isoaspartate (d-aspartate) O-methyltransferase (PCMT1). The co-transfection of pmirGLO-PCMT1 and pEGP-miR-195 showed highly significant results. Firefly luciferase was detected using Lumiscensor and t test analysis was done. Firefly luciferase expression was significantly decreased (P < 0.001) in comparison to the control. The low expression of firefly luciferase validates the method of target prediction that we used in this work by working on PCMT1 as a target for miR-195. Furthermore, the rest of the predicted genes are suspected to be real targets for hsa-miR-195. These target genes control almost all the hallmarks of liver cancer which can be used as therapeutic targets in cancer treatment.
Starting Page	11301
Ending Page	11309
Page Count	9
File Format	PDF
ISSN	10104283
Journal	Tumor Biology
Volume Number	35
Issue Number	11
e-ISSN	14230380
Language	English
Publisher	Springer Netherlands
Publisher Date	2014-08-14
Publisher Place	Dordrecht
Access Restriction	Subscribed
Subject Keyword	miRNA Target prediction Luciferase Cancer Cancer Research
Content Type	Text
Resource Type	Article
Subject	Medicine Cancer Research

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