Transcriptomics

Dataset Information

Next Generation Sequencing Facilitates Quantitative Analysis of Wild Type and RNF138-/- mice colorectal transcriptomes in DSS, AOM/DSS and organoids samples


ABSTRACT: Purpose: Next-generation sequencing (NGS) has revolutionized systems-based analysis of cellular pathways. The goals of this study are to analysis NGS-derived transcriptome profiling (RNA-seq) in DSS induced chronic inflammation, AOM/DSS induced colitis-associated colorectal tumorigenesis and organoids isolation from colitis-associated colorectal tumorigenesis Methods: DSS, AOM/DSS and organoids mRNA profiles of wild-type (WT) and RING Finger 3 (RNF138−/−) mice were generated by deep sequencing, in triplicate, using Illumina HiSeq 2500. The sequence reads were trimmed for low-quality sequence, then mapped to mm10 whole genome using STAR v2.6.1d Results: Using an optimized data analysis workflow, the padj <0.05 and fold change >2 were refered as differential expression. There are 987, 2649 and 2373 differential genes were found in RNF138-/- compared with Wild Type in DSS, AOM/DSS and organoids, respectively Conclusions: Our study revealed NFκB pathway is the main activation pathway regulated by RNF138 loss

ORGANISM(S): Mus musculus

PROVIDER: GSE144051 | GEO | 2022/04/30

REPOSITORIES: GEO

Dataset's files

Source:
Action DRS
Other
Items per page:
1 - 1 of 1

Similar Datasets