Identification of Crucial lncRNAs, miRNAs, mRNAs, and Potential Therapeutic Compounds for Polycystic Ovary Syndrome by Bioinformatics Analysis

Background. This study was aimed at mining crucial long noncoding RNAs (lncRNAs), microRNAs (miRNAs), and messenger RNAs (mRNAs) for the development of polycystic ovary syndrome (PCOS) based on the coexpression and the competitive endogenous RNA (ceRNA) theories and investigating the underlying ther...

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Veröffentlicht in:	BioMed research international 2020, Vol.2020 (2020), p.1-16
Hauptverfasser:	Tian, Xiaohui, Liu, Wenxiu, Xia, Tingting, Lin, Xia, Zeng, Zhi, Li, Manchao
Format:	Artikel
Sprache:	eng
Schlagworte:	Apoptosis Bioinformatics Biological activity Biomedical research Care and treatment Cell cycle Cell Cycle Proteins - genetics Chemical compounds Computational Biology Databases, Pharmaceutical Datasets Drug discovery Drugs Female Gene expression Gene Expression Regulation Gene Regulatory Networks Genes Genetic aspects Genetic Markers Health aspects High-Throughput Nucleotide Sequencing Humans Identification and classification Immune response Immunosuppressive agents MicroRNAs MicroRNAs - genetics miRNA Mitosis Modules Network analysis Ovaries Pharmacology Polo-Like Kinase 1 Polycystic ovary syndrome Polycystic Ovary Syndrome - drug therapy Polycystic Ovary Syndrome - genetics Protein interaction Protein Interaction Maps Protein Serine-Threonine Kinases - genetics Proteins Proto-Oncogene Proteins - genetics Quercetin Quercetin - pharmacology Ribonucleic acid RNA RNA, Long Noncoding - genetics RNA, Messenger - genetics Small Molecule Libraries - pharmacology Stein-Leventhal syndrome TLR1 protein Toll-like receptors Toxicogenetics
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