PLX261990

GSE139813: Analysis of transcriptomes in intestinal stem cells in response to Interferon gamma

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

There is limited understanding of how immune-mediated damage impacts intestinal stem cells (ISCs). We found that stem cell compartment injury is a shared feature of both alloreactive and autoreactive intestinal immunopathology, reducing ISCs and impairing their recovery in T-cell-mediated injury models. Modeling with ex vivo epithelial cultures indicated ISC depletion and impaired human as well as murine organoid survival upon co-culture with activated T cells, and screening of effector pathways identified Interferon- (IFN) as a principal mediator of ISC compartment damage. Flow cytometry analysis confirmed expression of IFN receptor on ISCs. To investigate if the receptor was functional, we performed transcriptome analysis of ISCs treated with IFN. In brief, mRNA profiles of sorted Lgr5-high cells treated with/without IFN were generated by deep sequencing, in triplicate, using the TruSeq SBS Kit V4 (Illumina). RNA profiles confirmed a robust IFN transcriptional signature in the stem cells, as several IFN-related genes were upregulated shortly after exposure, indicating direct activity of IFN in ISCs. Epithelial cultures with IFN-receptor-deficient ISCs and purified stem cell colonies also indicated direct targeting of the ISCs. This study showed that dysregulated T cell activation and Interferon- production are potent mediators of ISC injury. SOURCE: Bic MSKCC (bic-geo-submission@cbio.mskcc.org) - Memorial SLoan-Kettering Cancer Center

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