PLX211323

GSE79848: RNA-Seq Quantification of Xenobiotic Processing Genes in Various Sections of the Intestine in Comparison to the Liver of Male Mice

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

This study aimed to quantify and compare the mRNA abundance of all major XPGs in liver and intestine using RNA-Seq. The mRNA profiles of 304 XPGs, including phase-I, phase-II enzymes, phase-II cosubstrate synthetic enzymes, xenobiotic transporters, as well as xenobiotic-related transcription factors, were systematically examined in liver and various sections of the intestine in adult male C57BL/6J mice. By two-way hierarchical clustering, over 80% of the XPGs had tissue-divergent expression, which partitioned into liver-, small intestine-, and large intestine-predominant patterns. Among the genes, 54% were highest expressed in liver, 21% in duodenum, 4% in jejunum, 6% in ileum, and 15% in large intestine. The highest expressed XPG in liver was Mgst1, in duodenum Cyp3a11, in jejunum and ileum Ces2e, and in large intestine Cyp2c55. Interestingly, XPGs in the same family usually exhibited highly different tissue distribution patterns, and many XPGs were almost exclusively expressed in one tissue and minimally expressed in others. In conclusion, the present study is among the first and the most comprehensive investigation of the real mRNA abundance and tissue-divergent expression of all major XPGs in mouse liver and intestine, which aids in understanding the tissue-specific biotransformation and toxicity of drugs and other xenobiotics. SOURCE: Julia Cui University 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