GSE163552
Next Generation Sequencing Facilitates Quantitative Analysis of Osteoarthritis related long non-coding RNAs (LcnRNAs)
Purpose: LncRNAs are important moleculars in immune responses. The goals of this study are to identify osteoarthritis related lncRNAs. Methods: PBMCs from healthy control and osteoarthritis patients were collected. Then, the next-generation libraries of mRNA were prepared using VAHTS mRNA-seq v2 Library Prep Kit for Illumina® (Vazyme, Nanjing, China). The Library quality was determined by Bioanalyzer 4200 (Agilent, Santa Clara, CA, USA). Then the mRNA-seq libraries were sequenced in HiSeq ?10 system (Illumina, San Diego, CA, USA) on a 150bp paired-end run. The differentially expressed lncRNAs were selected as having more than 1 fold difference in their geometrical mean expression between the compared groups and a statistically significant p-value (<0.05) by analysis of DEseq2. The GO analysis on differentially expressed lncRNAs was performed with an R package: Clusterprofiler using a p<0.05 to define statistically enriched GO categories. Results: 18 lncRNAs decreased significantly in osteoarthritis patients. Overall design: LncRNA profiles of PBMC from healthy controls and osteoarthritis patients were generated by deep sequencing, in triplicate, using illumina HiSeq ?10 system