PLX309448

GSE150420: Transcriptomic differences between mouse tumor-infiltrating and splenic regulatory T cells with or without Treg-specific loss of CD177

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

The goal of this study was to identify transcriptomic differences between splenic regulatory T cells and tumor-infiltrating regualtory T cells with or without Treg-specific loss of CD177.; Methods: MC38 tumors from CD177flox/flox/FOXP3-CreYFP and CD177flox/flox C57Bl/6 mice were ezymatically dissocaited and a single cell suspension was obtained. Spleens from the same mice were collected and single cell suspension was obtained by mechanical dissociation. Regulatory T cells, identified as CD45+ CD4+ CD25hi GITR+, were isolated by flourenscence activated cell sorting. RNA from the regualtory T cell populations were isolated and libraries were generated using the NextSeq500 system. Samples were aligned using Kallisto pseudoalignment protocol and the mm19 mouse genome. Counts were processed and aggregated by gene symbol using the sleuth R package.; Results: The pro-survival gene Bcl2l1 is selectivley upregulated in tumor-infiltratign regulatory T cells compared to splenic T cells SOURCE: Weizhou Zhang (zhangw@ufl.edu) - University of Florida

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