RNA-seq analysis of WT, CD5 KO, CD6 KO, CD5/CD6 double KO (I) and LAT KO naïve CD4+ T cells (II)
Ontology highlight
ABSTRACT:
PROVIDER: PRJNA625499 | ENA |
REPOSITORIES: ENA
Dataset's files
| Action | DRS | |||
|---|---|---|---|---|
| SRR11549200.fastq.gz | Fastqsanger.gz | |||
| SRR11549201.fastq.gz | Fastqsanger.gz | |||
| SRR11549202.fastq.gz | Fastqsanger.gz | |||
| SRR11549203.fastq.gz | Fastqsanger.gz | |||
| SRR11549204.fastq.gz | Fastqsanger.gz |
Items per page: 5 1 - 5 of 54 |
Similar Datasets
Project description:Transmembrane adaptors on T cells play crucial roles in TCR signal transduction. Although the TCR-LAT signal-transduction axis occupies a central place in T cell activation, it does not work in isolation and is tuned by other T-cell surface receptors among which stand the CD5 and CD6 receptors. Here we assessed the extent of transcriptional changes that initiated by TCR-CD28 pathways in the absence of CD5, of CD6, of both CD5 and CD6, or of LAT by RNA-seq analysis.
2020-09-29 | GSE148721 | GEO
Project description:Studies from mouse models show that differences in self-reactivity, as read-out by CD5 levels, identifies naïve T cell subsets with distinct functional properties during an immune response. Whether CD5 levels can also be used to parse functional biases in naive human CD4+ T cells is incompletely understood. Our study establishes CD5 as a reliable marker of T cell self-reactivity and functional heterogeneity in human CD4+ T cells.
2020-04-15 | GSE148662 | GEO
Project description:CD5 levels define functionally heterogeneous populations of naïve human CD4+ T cells
| PRJNA625305 | ENA
Project description:CD5 is characterized as an inhibitory co-receptor with important regulatory role during T cell development. To study the molecular mechanism by which CD5 operates, we used quantitative mass spectrometry to analyze the components of the CD5 signaling machinery in primary T cells. In a first set of experiments, CD5-containing complexes were immunoprecipitated from thymocytes of wild-type (WT) C57BL/6 mice. Thymocytes were treated with pervanadate to induce widespread activation of protein tyrosine kinases. Corresponding samples prepared from thymocytes of Cd5−/− mice were used as controls, to discriminate CD5-binding molecules from the background of contaminant proteins. Eight biological replicates were prepared for both conditions, and samples were analyzed in duplicate LC-MS runs. This first set of experiment is presented in TableS1 of the paper, and is associated to the MaxQuant result file “Interactome WT” in the present PX dataset. We analyzed the CD5 interactome at different time of stimulation with pervanadate (1min and 10min) using thymocytes from wild-type (WT) C57BL/6 mice. Corresponding samples prepared from thymocytes of Cd5−/− mice were used as controls. Three biological replicates were prepared for both conditions (WT and KO) and each time point (1min and 10min). This set of experiments is presented in TableS2 of the paper and is associated to the MaxQuant result file “Interactome at 1min and 10min” in the present PX dataset. We checked that the activation of CD5 (phosphorylation sites) and the formation of the signaling complex was comparable in different stimulatory conditions (comparison of WT thymocytes stimulated with either pervanadate or anti-CD3+anti-CD4 antibodies). We also analyzed the binding of CD5 interactors in thymocytes from a c-Cbl-/- mouse model (comparison of WT and c-Cbl-/-thymocytes stimulated with pervanadate). These experiments and the associated experimental design of the comparisons are summarized in TableS3 of the paper, and are based on the MaxQuant result file “Comparison of different stimulatory conditions” in this dataset. To check the phosphorylation status of the CD5 tyrosine residues at different time of stimulation, we analyzed samples immunoprecipitated from thymocytes of wild-type (WT) C57BL/6 mice, following stimulation with anti-CD3+anti-CD4 antibodies for 1min, 3min and 10min. This set of experiment is presented in TableS4 of the paper and is associated to the MaxQuant result file “CD5 pY kinetics” in the present PX dataset. To determine the role of Y429 in the context of CD5 signaling, we expressed a wild-type (CD5tgWt) or a mutated form of CD5, containing a tyrosine to phenylalanine substitution at position 429 (CD5tgY429F) in transgenic mice. We analyzed the CD5 interactome by comparing samples immunoprecipitated from thymocytes of these 2 mice models (following pervanadate stimulation, 6 and 5 biological replicates respectively) with samples prepared in the same way from Cd5−/− mice as controls (6 biological replicates). The results are shown in TableS5 of the paper, and correspond to the MaxQuant result file “interactome CD5tgWt_CD5tgY429F”.
2020-05-18 | PXD017343 | Pride
Project description:CD4+ T cells were isolated from gene-targeted mouse expressing a One-Strep-tag (OST) at the C terminus of the CD5 protein, briefly expanded in vitro and we analyzed the interactome of their OST-tagged CD5 protein. Affinity purification of the OST tagged protein was performed using Streptactin beads, from T cells either non-stimulated, stimulated 30s, 120s or 300s with anti-CD3 and anti-CD4 antibodies, or 300s with pervanadate. Each AP-MS purification is associated with a corresponding control (purification from CD4+ T cells isolated from WT mice, cultured and stimulated in the same conditions). The number of replicate biological experiments was n=3 for all conditions (time-points), and each sample was analyzed once by single-run nanoLC-MS, resulting in 30 raw files.
2020-09-29 | PXD018552 | Pride
Project description:The aim of the dataset was to study on a genome-wide level the impact of Lat deficiency on gene expression in resting and activated CD4+ T cells Lat+ and Lat? CD4+ T cells were isolated from lymph nodes and spleen of Latfl-dtr Tmat-Cre mice using a Dynabeads untouched mouse CD4 cells kit (Life Technology) and further purified by cell sorting. Lat+ CD4+ T cells were defined as: CD5+, hDTR+, CD8?, TCR???, CD25?, CD69?, CD62L+, lineage (CD11c, CD11b, CD19, CD45R, CD161)? and Lat? CD4+ Tcells were defined as: CD5+, hDTR?, CD8?, TCR???, CD25?, CD69?, CD62L+, lineage (CD11c, CD11b, CD19, CD45R, CD161)?. Sorted Lat+ or Lat? CD4+ T cells were then kept in vitro for 4 hours without stimulation or activated for 4 hours using anti-CD3 antibody and anti-CD28 antibody. Cell samples corresponding to three biological replicates were analyzed and gene expression profiles were obtained from total RNA.
2014-03-02 | E-GEOD-49507 | biostudies-arrayexpress
Project description:Gene expression data from wild-type and Bcl6-/- naive CD4 T cells In order to find genes regulated by Bcl6 in follicular helper T cells Naïve CD4 T cells were sorted from wild-type (WT) and T cell-specific conditional Bcl6-/- (KO) mice-- 8 samples, 4 WT and 4 KO
2015-04-08 | E-GEOD-67622 | biostudies-arrayexpress
Project description:Gene expression data from wild-type and Bcl6-/- naive CD4 T cells In order to find genes regulated by Bcl6 in follicular helper T cells Naïve CD4 T cells were sorted from wild-type (WT) and T cell-specific conditional Bcl6-/- (KO) mice-- 8 samples, 4 WT and 4 KO
2015-04-08 | E-GEOD-67623 | biostudies-arrayexpress
Project description:We have previously observed that regulatory B cells expressing the apoptosis-inducing surface molecule Fas ligand were enriched in the B cell fraction denoted by a surface phenotype of CD5+CD1dhigh. To identify potential growth factors, transcriptional regulators, or surface markers that might better characterize regulatory B cells, we compared global gene expression by microarray in two B cells subsets isolated by FACS. Splenocytes from 20 DBA/1 male mice were harvested, pooled, and CD19+ B cells were isolated by positive selection using MACS. B cells were then stained for CD5 and CD1d and sorted by FACS into CD5+CD1dhigh and CD5-CD1dhigh populations.
2013-06-30 | GSE46245 | GEO
Project description:We have previously observed that regulatory B cells expressing the apoptosis-inducing surface molecule Fas ligand were enriched in the B cell fraction denoted by a surface phenotype of CD5+CD1dhigh. To identify potential growth factors, transcriptional regulators, or surface markers that might better characterize regulatory B cells, we compared global gene expression by microarray in two B cells subsets isolated by FACS. Splenocytes from 20 DBA/1 male mice were harvested, pooled, and CD19+ B cells were isolated by positive selection using MACS. B cells were then stained for CD5 and CD1d and sorted by FACS into CD5+CD1dhigh and CD5-CD1dhigh populations. Single replicates of both CD5+CD1dhigh and CD5-CD1dhigh B cells from pooled mouse splenocytes were isolated and assay using the Affymetrix GeneChip Mouse 430 2.0 Array.
2013-06-30 | E-GEOD-46245 | biostudies-arrayexpress