A feature-based analysis identifies COL1A2 as a regulator in pancreatic cancer
Autor: | Lei Song, Jie Wu, Xiao-Qing Wei, XiangHuan Niu, ShuHong Tang, Jing Liu, Qi Yu |
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Jazyk: | angličtina |
Rok vydání: | 2019 |
Předmět: |
musculoskeletal diseases
congenital hereditary and neonatal diseases and abnormalities MiR-25-3p COL1A2 Regulator Computational biology Biology 01 natural sciences Collagen Type I Cell Line Tumor Pancreatic cancer Drug Discovery medicine Feature based Humans Cell Proliferation Pharmacology integumentary system 010405 organic chemistry Gene Expression Profiling lcsh:RM1-950 General Medicine bioinformatics medicine.disease 0104 chemical sciences Pancreatic Neoplasms 010404 medicinal & biomolecular chemistry lcsh:Therapeutics. Pharmacology Function (biology) Research Paper |
Zdroj: | Journal of Enzyme Inhibition and Medicinal Chemistry Journal of Enzyme Inhibition and Medicinal Chemistry, Vol 34, Iss 1, Pp 420-428 (2019) |
ISSN: | 1475-6374 1475-6366 |
Popis: | This study aimed to identify genetic biomarkers in pancreatic cancer (PC) and explore its function in PC via a feature-base analysis of bioinformatics. OMIM and DisGeNET databases discovered 209 PC connected genes and then 516 connected genes were identified. We selected 29 genes according to optimal features and chose COL1A2, which had the highest expression, for the following experiment. The expression of COL1A2 was determined by qRT-PCR; cell proliferation was determined by MTT assay; migration and invasion after COL1A2 and miR-25-3p transfection was evaluated by Transwell assay. COL1A2 presented the highest expression in PC tissues, which was validated in functional experiments. MiR-25-3p suppressed the expression of COL1A2 in cell lines and inhibited migration, invasion and proliferation of PC cells. MiR-25-3p could suppress the expression of COL1A2 and inhibit the proliferation, migration and invasion of PC cells which provided a new idea for the detection and treatment of PC. |
Databáze: | OpenAIRE |
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