The biological functions of target genes in pan-cancers and cell lines were predicted by miR-375 microarray data from GEO database and bioinformatics

• Published in: PloS one Vol. 13; no. 10; p. e0206689
• Main Authors: Zeng, Jiang-Hui, Liang, Xu-Zhi, Lan, Hui-Hua, Zhu, Xu, Liang, Xiu-Yun
• Format: Journal Article
• Language: English
• Published: United States Public Library of Science 31.10.2018; Public Library of Science (PLoS)
• Subjects: Amino acids; Annotations; Apoptosis; Bioinformatics; Biological activity; Biology and life sciences; Biotechnology; Cancer; Carcinoma; Cell growth; Cell Line, Tumor; Cervical cancer; Computational Biology; Computer programs; Data acquisition; Databases, Genetic; DNA microarrays; Encyclopedias; Gene expression; Gene Expression Profiling; Gene Expression Regulation, Neoplastic; Genes; Genomes; Head & neck cancer; Humans; Laboratories; Medicine and Health Sciences; Metabolism; Metastasis; Methionine; MicroRNAs; MicroRNAs - genetics; miRNA; Non-coding RNA; Pathogenesis; Predictions; Protein interaction; Proteins; Research and Analysis Methods; Ribonucleic acid; RNA; Software; Squamous cell carcinoma; Tumor cell lines; Tumorigenesis; Tumors; China

MicroRNA is endogenous non-coding small RNA that negative regulate and control gene expression, and increasing evidence links microRNA to oncogenesis and the pathogenesis of cancer. The goal of this study was to explore the potential molecular mechanism of miR-375 in various cancers. MiR-375 overexp...