Unknown,Transcriptomics,Genomics,Proteomics

Dataset Information

Whole-genome microarray analysis of primary, secondary, tertiary and quaternary memory CD8 T cells

ABSTRACT: The transcriptome of naive OT-I T cells was compared to memory CD8 T cells after 1, 2, 3, or 4 infection with ovalbumin expressing Listeria monocytogenes (LM-OVA). Naive Thy1.1 OT-I T cells were adoptively transferred into Thy1.2 naive hosts prior to infection with LM-OVA. The resulting memory CD8 T cell population was again adoptively transferred into naive hosts and the recipient mice were again infected with LM-OVA. The adoptive transfer was repeated up to four times to generate memory CD8 T cells with up to four consecutive antigen stimulations. Three individual mice were analyzed for each group. For quaternary memory CD8 T cells, spleens from two to three mice were pooled for each sample. Naive OT-I T cells served as control samples. http://dx.doi.org/10.1016/j.immuni.2010.06.014

ORGANISM(S): Mus musculus

SUBMITTER: Hai-Hui Xue

PROVIDER: E-GEOD-21360 | biostudies-arrayexpress |

REPOSITORIES: biostudies-arrayexpress

ACCESS DATA

Publications

Repetitive antigen stimulation induces stepwise transcriptome diversification but preserves a core signature of memory CD8(+) T cell differentiation.

Wirth Thomas C TC Xue Hai-Hui HH Rai Deepa D Sabel Jaime T JT Bair Tom T Harty John T JT Badovinac Vladimir P VP

Immunity 20100708 1

Repetitive antigen stimulation by prime-boost vaccination or pathogen reencounter increases memory CD8(+) T cell numbers, but the impact on memory CD8(+) T cell differentiation is unknown. Here we showed that repetitive antigen stimulations induced accumulation of memory CD8(+) T cells with uniform effector memory characteristics. However, genome-wide microarray analyses revealed that each additional antigen challenge resulted in the differential regulation of several hundred new genes in the en ...[more]

PMID: 20619696

Similar Datasets

Project description:T lymphocytes responding to microbial infection give rise to effector cells that mediate acute host defense and memory cells that provide long-lived immunity, but the fundamental question of when and how these cells arise remains unresolved. Here we combine single-cell gene expression analyses with machine-learning approaches to trace the transcriptional roadmap of individual CD8+ T lymphocytes throughout the course of an immune response in vivo. Gene expression signatures predictive of eventual fates could be discerned as early as the first T lymphocyte division and may be influenced by asymmetric partitioning of the interleukin-2 receptor during mitosis. These findings underscore the importance of single-cell analyses in understanding fate determination and provide new insights into the specification of divergent lymphocyte fates early during an immune response to microbial infection. The goal of the study was to profile the gene expression in single CD8+ T cells responding in vivo to a microbial infection over multiple timepoints. 5 x 103 CD8+ CD45.1+ T cells transgenic for the OT-1 T cell receptor (which recognizes Listeria monocytogenes expressing ovalbumin (Lm-ova)) were adoptively transferred into congenic wild-type CD45.2 C57/B6J recipients, followed by infection intravenously one day later with 5 x 103 colony-forming units (CFU) of Lm-OVA. Splenocytes were isolated from recipient mice at 5, 7, or 45 days post-infection. To isolate cells at 3 days post-infection, 2 x 104 OT-1 CD8+ T cells were adoptively transferred. To isolate cells that had undergone their first division, 2 x 106 OT-1 CD8+ T cells were first labeled with carboxyfluorescein diacetate succinimidyl ester (CFSE) prior to adoptive transfer and recipient mice were sacrificed at 48 hours post-infection. Unactivated naM-CM-/ve OT-1 CD45.1+ CD8+ T cells were also included. Cells were stained with fluorochrome-labeled antibodies against CD8, CD44, CD4, CD11b, CD11c, and F4/80, and sorted on a MoFlo (Beckman Coulter) or FACS Aria II (BD Biosciences) flow cytometer. The Ct value for each gene analyzed in each individual cell at each time point is reported in the Matrix non-normalized. The 94 ABI TaqMan Assay IDs are listed on the left (A2-A96), along with the accession number (B2-B96) and corresponding gene name (C2-C96) of each gene studied. The Il2 gene expression assay was duplicated. Each heading (D1-BCV)) represents a single cell from each of 13 timepoints or T cell subset that were profiled. The timepoints/T cell subsets and number of each cells profiled from each timepoint/T cell subset were: unactivated naM-CM-/ve (149 cells), distal daughter (48), proximal daughter (83), division 1 (144), day 3 post-infection (143), day 5 post-infection memory precursor (Tmp) (90), day 5 post-infection short-lived effector (Tsle) (79), day 5 post-infection (154), day 7 post-infection memory precursor Tmp (62), day 7 post-infection short-lived effector Tsle (89), day 7 post-infection (134), central memory Tcm (138), and effector memory Tem (136).

Dataset Information

Whole-genome microarray analysis of primary, secondary, tertiary and quaternary memory CD8 T cells

Publications

Repetitive antigen stimulation induces stepwise transcriptome diversification but preserves a core signature of memory CD8(+) T cell differentiation.

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure