PLX168575

GSE97666: RNA-seq analysis of regulatory T cells in thymus, placenta, spleen and white adipose tissue of pregnant mice

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

In this study we performed RNA sequencing to determine and compare the transcriptome of regulatory T cells (Tregs) present in the thymus, placenta, spleen and white adipose tissue (FAT) of pregnant mice. We further assessed how the expression of the receptor Rank in the thymic medullary epithelia affects the transcriptional program of these Treg populations. For the isolation of viable and bona fide Tregs, we first generated RankWt (wild type control mice) and RankFoxn1 (which lack expression of Rank in the thymic epithelia) and further crossed them to mice that express GFP from the Foxp3 promoter. Neuropilin1 was used to mark the thymic origin of the Tregs. Equal numbers of Tregs (280 cells) were sorted as CD45-CD8-CD4+GFP+Neuropilin1High cells from the thymus and placenta of RankWtFoxp3GFP/GFP and RankFoxn1Foxp3GFP/GFP pregnant females at E17.5 (both samples from the same female; n=4 females per genotype). Thymus Tregs from non-pregnant littermate female mice for each genotype cohort were also studied. To increase robustness, the 280 placental Tregs were purified from 5 individual placentas per pregnant female (56 Tregs/placenta). Our study is the first one to determine the transcriptome of thymus and placenta Tregs during pregnancy and reveals that, partially dependent on Rank expression in the thymic epithelia, placental-resident Tregs are molecularly distinct from thymic Tregs. In a separate experiment with different pregnant mice than those used for thymus and placenta analysis, VAT Tregs (20-30 cells) and splenic Tregs (150 cells) were sorted (both samples from the same female) by using the same mouse lines (Rank Wt and RankFoxn1), embryological days of analysis (E17.5) and sorting strategies. SOURCE: Christoph Bock (cbock@cemm.oeaw.ac.at) - CeMM Research Center for Molecular Medicine of the Austrian Academy of Sciences

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