Systematic Identification of lncRNA-Associated ceRNA Networks in Immune Thrombocytopenia

Autor: Chunshan Zhao, Peng Li, Zhenwei Fan, Min Zhang, Chunli Mei, Yan Song, Xuan Wang
Jazyk: angličtina
Rok vydání: 2020
Předmět:
Genetic Markers
Article Subject
Computer applications to medicine. Medical informatics
R858-859.7
General Biochemistry
Genetics and Molecular Biology
03 medical and health sciences
0302 clinical medicine
Ubiquitin
immune system diseases
hemic and lymphatic diseases
microRNA
medicine
Humans
Gene Regulatory Networks
Protein Interaction Maps
RNA
Messenger
Gene
030304 developmental biology
Autoimmune disease
0303 health sciences
Messenger RNA
Purpura
Thrombocytopenic
Idiopathic
General Immunology and Microbiology
biology
Competing endogenous RNA
Applied Mathematics
Computational Biology
Translation (biology)
General Medicine
medicine.disease
MicroRNAs
Gene Expression Regulation
030220 oncology & carcinogenesis
Modeling and Simulation
RNA splicing
biology.protein
Cancer research
Disease Progression
RNA
Long Noncoding
Databases
Nucleic Acid
Signal Transduction
Research Article
Zdroj: Computational and Mathematical Methods in Medicine, Vol 2020 (2020)
Computational and Mathematical Methods in Medicine
ISSN: 1748-6718
Popis: Primary immune thrombocytopenia (ITP) is an autoimmune disease. However, the molecular mechanisms underlying ITP remained to be further investigated. In the present study, we analyzed a series of public datasets (including GSE43177 and GSE43178) and identified 468 upregulated mRNAs, 272 downregulated mRNAs, 134 upregulated lncRNAs, 23 downregulated lncRNAs, 29 upregulated miRNAs, and 39 downregulated miRNAs in ITP patients. Then, we constructed protein-protein interaction networks, miRNA-mRNA and lncRNA coexpression networks in ITP. Bioinformatics analysis showed these genes regulated multiple biological processes in ITP, such as mRNA nonsense-mediated decay, translation, cell-cell adhesion, proteasome-mediated ubiquitin, and mRNA splicing. We thought the present study could broaden our insights into the mechanism underlying the progression of ITP and provide a potential biomarker for the prognosis of ITP.
Databáze: OpenAIRE
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