PLX320022

GSE98666: RNA-Seq Reveals Age- and Species Differences of CAR-targeted Drug-Processing Genes in Liver

  • Organsim mouse
  • Type RNASEQ
  • Target gene
  • Project ARCHS4

Purpose: Next-generation sequencing (NGS) has been utilized for systems-based analysis of all liver samples. The goals of this study are to use NGS-derived mouse CAR and human CAR initiated transcriptome profiling (RNA-seq) and find out similarity and difference drug processing gene (DPG) pattern after CAR activation in different genotype include WT (C57BL/6 and human CAR transgenic mice with C57BL/6 background); Methods: Liver mRNA profiles of wild-type (WT) and human CAR knockin (hCAR-TG) mice at the age of day 5 and day 60 treated with mouse CAR activator (TCPOBOP) and human CAR activator (CITCO) respectively were generated by deep sequencing, in triplicate, using HiSeq 2000 sequencer. The sequence reads that passed quality filters were analyzed at the transcript level with followed method: HISAT followed by Cufflinks.; Results: Using an optimized data analysis workflow,RNA-Seq generated approximately 47 to 68 million reads per sample, among which approximately 40 to 60 million reads were uniquely mapped to the mouse reference genome (NCBI GRCm/38/mm10). And we identified 393 drug processing genes in the livers of WT and hCAR-TG with with HISAT workflow. RNA-seq data confirmed that among all the 393 DPGs with known important functions in xenobiotic biotransformation, 90 DPGs were not expressed in livers of any groups (threshold: average FPKM < 1 in all treatment groups); whereas a total of 303 genes were expressed in livers of at least one groups, among which 258 DPGs were differentially regulated by mCAR or hCAR activation in either Day 5 or Day 60 (FDR-BH<0.05), and 45 genes were stably expressed among all treatment groups.; Conclusions: Our study represents the first detailed analysis of drug processing genes, with 3 biologic replicates, generated by RNA-seq technology. The optimized data analysis reported here should provide a framework for comparative investigations of expression profiles by mouse CAR activation and human CAR activation. Our results show that NGS offers a comprehensive and accurate quantitative and qualitative evaluation of mRNA content within tissues. SOURCE: lihua cheng (sunny80@uw.edu) - universtiy of washington

View on GEOView in Pluto

Key Features

Enhance your research with our curated data sets and powerful platform features. Pluto Bio makes it simple to find and use the data you need.

Learn More

14K+ Published Experiments

Access an extensive range of curated bioinformatics data sets, including genomic, transcriptomic, and proteomic data.

Easy Data Import

Request imports from GEO or TCGA directly within Pluto Bio. Seamlessly integrate external data sets into your workflow.

Advanced Search Capabilities

Utilize powerful search tools to quickly find the data sets relevant to your research. Filter by type, disease, gene, and more.

Analyze and visualize data for this experiment

Use Pluto's intuitive interface to analyze and visualize data for this experiment. Pluto's platform is equipped with an API & SDKs, making it easy to integrate into your internal bioinformatics processes.

Read about post-pipeline analysis

View QC data and experiment metadata

View quality control data and experiment metadata for this experiment.

Request import of other GEO data

Request imports from GEO or TCGA directly within Pluto Bio.

Chat with our Scientific Insights team