Next Generation Sequencing Facilitates Quantitative Analysis of Transcriptomes of Osteochondroma Explants Nontreated or Treated with Selective Agonist of Retionic acid Nuclear Receptor Gamma (RARg) I

ABSTRACT: Purpose: Next-generation sequencing (NGS) has used to detect alterations in cellular pathways by various drugs. The goal of this study is to identify alteration of gene expression in human osteochondromas in response to identify nontreated or RARg agonist-treated osteochondorma transcriptome profiling (RNA-seq) and to evaluate the actions of RARg agonists on osteochondromas. Methods: Osteochondroma mRNA profiles of untreated or RARg agonist treated (4 days) osteochondroma explants were generated by deep sequencing, in triplicate, using Illumina HiSeq 4000. The sequence reads that passed quality filters were analyzed at the transcript isoform level with two methods: Burrows–Wheeler Aligner (BWA) followed by ANOVA (ANOVA) and TopHat followed by Cufflinks. Results and Conclusions: Our study represents the detailed analysis of human osteochondromas, with biologic replicates, generated by RNA-seq technology. We conclude that RNA-seq based transcriptome revealed that RARg agonists acts on human osteochondromas and altered various types of biological functions.

ORGANISM(S): Homo sapiens

PROVIDER: GSE180764 | GEO | 2021/07/26

REPOSITORIES: GEO