Next Generation Sequencing of transcriptomes in GFP+-HSCs sorted from bone marrow of mice receiving HSCs subjected to control RNA or miR-31-5p inhibitor treatment.
Ontology highlight
ABSTRACT: Purpose: The goals of this study is to uncover the difference of transcriptomes that are essential for HSCs malignant transformation driven by miR-31-5p inhibition. Methods: GFP+-HSCs sorted from bone marrow mRNA profiles of mice receiving HSCs subjected to control RNA or miR-31-5p inhibitor treatment were generated by deep sequencing, using Illumina NovaSeq 6000 sequencer for 318 cycles.Reads that passed the Illumina quality filters were kept for the subsequent analyses. Adapters were trimmed from the reads, and reads shorter than 17 nt were discarded. The reads were mapped to the Mouse mRNA reference database using FANSe3 algorithm on Chi-Cloud NGS Analysis Platform (Chi-Biotech Co. Ltd., Shenzhen, China). Results: We use edgeR to analysis with a |log2 (FoldChange)| > 1 and p value <0.01. Hierarchical clustering of differentially expressed genes uncovered several as yet uncharacterized genes that may contribute to promote HSCs malignant driven by miR-31-5p inhibition. Conclusions: Our study represents the first detailed analysis of transcriptomes that promote T-cell malignant transformation driven by HTVL-1 oncogene Tax.
ORGANISM(S): Mus musculus
PROVIDER: GSE163985 | GEO | 2023/12/29
REPOSITORIES: GEO
ACCESS DATA