Network analysis and transcriptome profiling in peripheral blood mononuclear cells of patients with rheumatoid arthritis
| Autor: | Jianting Wen, Yue Sun, Ying Zhang, Guanghan Sun, Bingxi Bao, Dan Huang, Yan Long, Jian Liu, Ling Xin, Hui Jiang, Pingheng Zhang, Lei Wan, Yanqiu Sun |
|---|---|
| Jazyk: | angličtina |
| Rok vydání: | 2020 |
| Předmět: |
0301 basic medicine
rheumatoid arthritis Cancer Research mRNA Biology Peripheral blood mononuclear cell 03 medical and health sciences 0302 clinical medicine Immunology and Microbiology (miscellaneous) medicine KEGG Gene Oncogene long non-coding RNA General Medicine Articles sequencing medicine.disease Molecular medicine Long non-coding RNA Fold change 030104 developmental biology 030220 oncology & carcinogenesis Rheumatoid arthritis patient perception index Cancer research |
| Zdroj: | Experimental and Therapeutic Medicine |
| ISSN: | 1792-1015 1792-0981 |
| Popis: | The present study aimed to investigate the differential expression of long non-coding RNAs (lncRNAs) in rheumatoid arthritis (RA). High-throughput gene sequencing technology was used to detect the expression of lncRNA and mRNA in three patients with RA (RA group) and normal controls (NC group). A Bioinformatics analysis was used to assess the effects of differentially expressed mRNAs on signaling pathways and biological functions. The selected dysregulated lncRNAs were verified by reverse transcription-quantitative (RT-q)PCR in the peripheral blood mononuclear cells (PBMCs) of patients with RA and age- and sex-matched controls. A correlation analysis was used to analyze the relationship between lncRNAs and clinical indexes. From the lncRNA sequencing data, significantly differentially expressed lncRNAs between the RA and NC groups were identified by a fold change ≥2 and P |
| Databáze: | OpenAIRE |
| Externí odkaz: |
|