Browse
Submit Data
Databases
API
Help

Unknown,Transcriptomics,Genomics,Proteomics

Dataset Information

103 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

Transcription profiling of mouse CD8 T cells during acute homeostatic proliferation

ABSTRACT: Our earlier study demonstrated that when CFSE-labeled LCMV-or Pichinde virus-immune spleen leukocytes were transferred into T cell-deficient hosts, the bona fide virus-specific memory cells underwent relatively limited cell division and were substantially diluted in frequency by other more extensively proliferating cells originating from that donor cell population. We questioned how the slowly dividing population, which contained bona fide memory cells, differed from the rapidly dividing cells, which contained âmemory-likeâ cells. As a preliminary screen we performed a comparative genome-wide microarray analysis of genes expressed on sorted rapidly proliferating (CFSE-low) and slowly proliferating (CFSE-high) CD8 cell populations Experiment Overall Design: 2x10^7 CFSE-labeled, Ly5.1+, LCMV-Immune splenocytes were adoptively transferred into congenic T cell ko hosts. Splenocytes were harvested 12 days post-transfer and stained with anti-CD8 Ab, anti-Ly5.1 Ab and 7AAD. 7AAD negative cells were gated, and CFSE-low (> eight divisions) and CFSE-high (0-6 divisions) cells were sorted by flow cytometry using a FACStarPLUS sorter (BD Bioscience, Mountain View, CA). Total RNA was extracted from both CFSE-low and CFSE-high CD8+Ly5.1+ donor populations to compare rapidly vs. slowly dividing CD8 T cells during acute homeostatic proliferation via Affymetrix gene analysis.

ORGANISM(S): Mus musculus

SUBMITTER: Raymond Welsh

PROVIDER: E-GEOD-8584 | biostudies-arrayexpress |

REPOSITORIES: biostudies-arrayexpress

ACCESS DATA

Json Xml

Similar Datasets

Comparison of rapidly vs. slowly dividing CD8 T cells during acute homeostatic proliferation

Project description:Our earlier study demonstrated that when CFSE-labeled LCMV-or Pichinde virus-immune spleen leukocytes were transferred into T cell-deficient hosts, the bona fide virus-specific memory cells underwent relatively limited cell division and were substantially diluted in frequency by other more extensively proliferating cells originating from that donor cell population. We questioned how the slowly dividing population, which contained bona fide memory cells, differed from the rapidly dividing cells, which contained “memory-like” cells. As a preliminary screen we performed a comparative genome-wide microarray analysis of genes expressed on sorted rapidly proliferating (CFSE-low) and slowly proliferating (CFSE-high) CD8 cell populations Keywords: Division profile comparison

2008-07-25 | GSE8584 | GEO

Expression data from LCMV-infected P14 and Akt transgenic P14 CD8 T cells

Project description:The PI3K/Akt signaling pathway impacts various aspects of CD8 T cell homeostasis, such as effect versus memory cell differentiation, during viral infection. We used microarrays to determine which downstream molecules were affected and what other signaling pathways were interconnected with the Akt pathway by constitutive activation of Akt in LCMV-infected CD8 T cells. Splenocytes from naive P14/WT or P14/Akt mice were stained with anti-CD8 and anti-Ly5.1, and CD8 T cells were sorted using a FACSAria II instrument. Purified Ly5.1+ CD8 T cells from P14/WT or P14/Akt mice were transferred into B6 mice, which were subsequently infected with LCMV Armstrong. At day 8 post infection, splenocytes were stained with anti-CD8, anti-Ly5.1, anti-KLRG1, and anti-CD127. Following staining, short-lived effector cells (SLECs) and memory precursor effector cells (MPECs) were sorted using the FACSAria II instrument; the purity of the sorted cells was >95%. A total of 5 samples were analyzed, including WT naive, WT SLEC, WT MPEC, Akt naive and Akt SLEC.

2012-03-01 | E-GEOD-36168 | biostudies-arrayexpress

Gene expression analysis of Wnt+ and Wnt- effector CD8 T cells

Project description:Wnt signal transduction during an immune response is involved in the establishment of functional CD8 T cell memory P14 ConductinLacZ CD8 T cells (CD45.2) were transferred in CD45.1+.2+ recipient mice. The day after, recipients were infected with 200pfu LCMV WE. At day 8 after infection, cells from spleen and lymph nodes were harvested, magnetically enriched for CD8 T cells, loaded with the beta-galactosidase substrate (FDG) and sorted as 7AAD-negative CD45.- negative, beta-galactosidase positive versus negative cells. P14 CD8 T cells were sorted at day 8 after LCMV infection according to LacZ activity for RNA extraction and hybridization on Affymetrix microarrays.

2013-12-16 | E-GEOD-53358 | biostudies-arrayexpress

miRNA signatures of antigen specific CD8+ T cells at different stages of immune response to LCMV infection

Project description:miRNAs play an important role in regulating CD8+ T cell response. We used the microarray approach to profile the miRNA signatures of naïve, day 5 effector, day 8 effector, and memory CD8+ T cells. We identified a miRNA signature associated with rapidly proliferating effector CD8+ T cells. CD8+ T cells from P14 TCR transgenic mice were transferred to C57BL6 recipients which were subsequently infected with LCMV Armstrong. Donor P14 CD8+ T cells were sorted on day 5, day 8, or >day 60 post-infection. Naïve P14 CD8+ T cells were sorted directly from naive P14 splenocytes. The total RNA including miRNAs was extracted from sorted samples, labeled, and hybridized to Agilent Mouse miRNA microarray.

2012-06-04 | E-GEOD-34216 | biostudies-arrayexpress

Mus musculus

Project description:Comparison of rapidly vs. slowly dividing CD8 T cells during acute homeostatic proliferation

| PRJNA101735 | ENA

Gene expression analysis of Wnt+ and Wnt- effector CD8 T cells

2013-12-16 | GSE53358 | GEO

Primary and secondary CD8 T cells during acute and chronic LCMV infection

Project description:Understanding the response of memory CD8 T cells to persistent antigen re-stimulation and the role of CD4 T cell help is critical to the design of successful vaccines for chronic diseases. However, studies comparing the protective abilities and qualities of memory and naïve cells have been mostly performed in acute infections, and little is known about their roles during chronic infections. Herein, we show that memory cells dominate over naïve cells and are protective when present in large enough numbers to quickly reduce infection. In contrast, when infection is not rapidly reduced, memory cells are quickly lost, unlike naïve cells. This loss of memory cells is due to (i) an early block in cell proliferation, (ii) selective regulation by the inhibitory receptor 2B4, and (iii) increased reliance on CD4 T cell help. These findings have important implications towards the design of T cell vaccines against chronic infections and tumors. 16 samples are analyzed: 3 replicates of secondary effector CD8 P14 T cells at day 8 post-acute lymphocytic choriomeningitis virus (LCMV) infection; 4 replicates of secondary effector CD8 P14 T cells at day 8 post-chronic LCMV infection; 4 replicates of primary effector CD8 P14 T cells at day 8 post-acute LCMV infection; and 5 replicates of primary effector CD8 P14 T cells at day 8 post-chronic LCMV infection.

2011-08-22 | E-GEOD-30962 | biostudies-arrayexpress

Longitudinal expression data from CD8+ T cells responding to LCMV-Armstrong or LCMV-Clone 13

Project description:During acute viral infections, naïve CD8+ T cells differentiate into effector CD8+ T cells and, after viral control, into memory CD8+ T cells. Memory CD8+ T cells are highly functional, proliferate rapidly upon reinfection and persist long-term without antigen. In contrast, during chronic infections, CD8+ T cells become “exhausted” and have poor effector function, express multiple inhibitory receptors, possess low proliferative capacity, and cannot persist without antigen. To compare the development of functional memory T cells with poorly functional exhausted T cells, we generated longitudinal transcriptional profiles for each. Naive CD44Lo CD8+ T cells were isolated and sorted from uninfected C57BL/6 mice and H2-Db GP33-specific CD8+ T cells were sorted using MHC-I tetramers at d6, 8, 15, and 30 p.i. with either LCMV Arm or LCMV clone 13. RNA from these CD8+ T cells was processed, amplified, labeled, and hybridized to Affymetrix GeneChip MoGene 1.0 st microarrays

2012-11-23 | E-GEOD-41867 | biostudies-arrayexpress

Gene expression in LCMV-specific Blimp-1 deficient effector CD8+ T cells compared to wildtype effector CD8+ T cells

Project description:Antigen-specific effector CD8+ T cells deficient in Blimp-1 (Prdm1) do not acquire maximal effector functions, evade terminal differentiation, and more rapidly acquire some hallmark properties of memory CD8+ T cells. In this study, we compared the gene expression profiles of wildtype and Prdm1-/- LCMV-specific effector CD8+ T cells to better understand the molecular mechanisms underlying this striking phenotype. DNA microarray analysis was performed of DbGP33-41 and DbNP396-404 tetramer-positive effector CD8+ T cells FACS-sorted at day 8 post-LCMV infection from four independent samples of either Blimp-1 conditional knockout mice (CKO; Blimp-1flox/flox x GranzymeB-cre+) or wildtype (WT) littermate controls.

2010-08-19 | E-GEOD-17211 | biostudies-arrayexpress

non-LRCs LRCs NanoLC-MS/MS data

Project description:Proteome analysis of embryonic neural progenitor cells, comparing slowly-dividing and rapidly-dividing neural progenitor cells (NPCs). Expression of H2B-GFP was transiently induced in transgenic embryos with a Tet-on system by a single injection of 9TB-Dox at E9.5. Subsequently, NPCs (CD133+CD24– cells) were isolated from the LGE based on the GFP fluorescence intensity at E17.5. The top 10% of NPCs according to H2B-GFP fluorescence intensity (GFP++ cells) were collected as slowly dividing NPCs, whereas the middle 45% to 75% (GFP+ cells) and bottom 10% (GFP– cells) of NPCs were collected as rapidly dividing NPC fractions.

2020-07-10 | PXD014548 | JPOST Repository

OmicsDI is part of the ELIXIR infrastructure

OmicsDI is an Elixir interoperability service. Learn more ›

Tweets

OmicsDI Databases

PRIDE
PeptideAtlas
MassIVE
JPOST Repository
Physiome Model Repository

EGA
EVA
ENA
LINCS
PAXDB
Cell Collective

MetaboLights
Metabolomics Workbench
MetabolomeExpress
GNPS
BioModels
FAIRDOMHub

ArrayExpress
dbGaP
ExpressionAtlas
GEO
NODE

Information

Databases
Help
API
Contact us
Code on GitHub
Terms of use
Submit Data