PLX329288

GSE109754: The fate of CD8+ T cells during infection is linked to their developmental origin [Virtual_Memory_following_infection_timestamp]

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

During immune ontogeny the thymus is colonized by distinct waves of hematopoietic stem cells that give rise to unique lineages of immune cells. In this report, we asked whether the developmental origin of CD8+ T cells influences their response to infection later in adulthood. To answer this question, we developed a system to timestamp CD8+ T cellsin situat various stages of development (1d and 28d) and examined their behavior after thymic differentiation. We found that neonatal-derived CD8+ T cells have an intrinsic propensity to become virtual memory cells prior to infection and are the first cells to proliferate and become effectors after microbial challenge. These data indicate that there are developmental layers in the adult CD8+ T cell response to infection and that the heterogeneity in the effector pool is linked to the variation in the developmental origins of the responding cells. This dataset profiles gene expression in 1day- and 28day-timestamped virtual memory (CD44hi) CD8+ T cells aged for 4 weeks of post-thymic differentiation and then transferred into congenically marked recipients. Timestamped cells were recovered 5 days following infection with Listeria monocytogenes. SOURCE: Jennifer,K,GrenierBiotechnology Building rm 333 Cornell University

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