Dataset Information

Gene Expression Profile during human CD4+ T cell differentiation

ABSTRACT: Subpopulations of human fetal thymocyte and circulating naïve T cells were obtained through FACS sorting, including CD3-CD4+CD8- intrathymic T progenitor cells (ITTP), CD3intCD4+CD8+ "double positive" thymocytes (DP), CD3highCD4+CD8- "single positive" thymocytes (SP4), CD3+CD4+CD8-CD45RA+CD62L+ naïve T cells from cord blood (CB4+), and CD3+CD4+CD8-CD45RA+CD62L+ naïve T cells from adult blood (AB4+). Keywords = Microarray Keywords = gene expression Keywords = thymocytes Keywords = naïve CD4+ T cell Keywords = recent thymic emigrants Keywords: other

ORGANISM(S): Homo sapiens

PROVIDER: GSE1460 | GEO | 2004/07/01

SECONDARY ACCESSION(S): PRJNA90033

REPOSITORIES: GEO

ACCESS DATA

Dataset's files

Source:

			Action	DRS
		Other

Items per page:

1 - 1 of 1

Similar Datasets

Project description:Histone methylations play a major role in regulating the chromatin state and gene expression, yet little is known about their involvement in differential gene expression and function of memory CD8 T cells. Here, we report a genome-wide analysis of two histone H3 methylations (H3K4me3 and H3K27me3) and gene expression in naïve, central (TCM) and effector (TEM) memory CD8 T cells. Analysis of 16,314 annotated genes in CD8 T cell subsets revealed that gene expression were positively correlated with the levels of H3K4me3 and negatively correlated with the levels of H3K27me3 in these gene loci. The correlation between differential H3K4me3 orH3K27me3 levels with gene expressions in memory CD8 T cells displayed four distinct modes: repressive, active, poised, and bivalent, reflecting their complex regulation and different function of these genes. Furthermore, accessible chromatin states of different gene loci were preferentially influenced by different histone modifications as demonstrated here high levels of H3K9ac found in active gene loci without high levels of H3K4me3. These findings reveal a histone methylation based complex regulation of differential gene expression in memory CD8 T cells. Thus, change of chromatin structure mediated by histone methylation may serve a fundamental basis for the rapid transcriptional response of memory CD8 T cells. Keywords: Histone methylations, chromatin state, CD8 memory T cells Enriched naïve and memory CD8 T cells were purified into CD8+CD45RA+CD62L+ naïve T cells, CD8+CD45RA-CD62L+ central memory T cells (TCM), and CD8+CD45RA-CD62L- effector memory T cells (TEM) by a cell sorter (MoFlo; Dako Cytomation, Carpentaria, CA). Triplicates of each cell type were either used right away or incubated with anti-CD3 and anti-CD28 Ab (anti-CD3/CD28) coupled magnetic beads (Invitrogen) at the cell:bead ratio of 1:1 for 16 hours in RPMI-1640 with 10% Fetal bovine serum and penicillin (10 U/ml)/streptomycin (10 ug/ml) (Invitrogen). The freshly isolated and 16 hr stimulated cells from several donors as a pool were used for gene expression microarray analysis. All sample data was normalized to a standard control RNA labeled and hybed along with each sample and all data from the 3 replicates was averaged.

Project description:CD8+ and CD4+ T cells from HIV infected patients with HIV-RNA viremia of >50 copies/ml and CD8+ and CD4+ T cells from healthy controls were isolated by negative selection (Miltenyi Biotech, Auburn, CA). Cell sorting of the CD4 and CD8 T cell subsets were performed based on surface staining of CD3+CD8+ or CD3+CD4+ and na ve CD45RA+CD27+CD127highHLA-DRlow, and CD3+CD8+ or CD3+CD4+ and memory CD45RA-CD27+CD127highHLA-DRlow. Sorted cell populations were spun down and stored as dry pellets at -80M-BM-0C. Samples analyzed by transcript levels of genes related to cytokine signaling were determined by the JAK/STAT Signaling Pathway microarray. CD8+ and CD4+ T cells from HIV infected patients with HIV-RNA viremia of >50 copies/ml and CD8+ and CD4+ T cells from healthy controls were isolated by negative selection (Miltenyi Biotech, Auburn, CA). Cell sorting of the CD4 and CD8 T cell subsets were performed based on surface staining of CD3+CD8+ or CD3+CD4+ and naM-CM-/ve CD45RA+CD27+CD127highHLA-DRlow, and CD3+CD8+ or CD3+CD4+ and memory CD45RA-CD27+CD127highHLA-DRlow. Sorted cell populations were spun down and stored as dry pellets at -80M-BM-0C. Samples analyzed by transcript levels of genes related to cytokine signaling were determined by the JAK/STAT Signaling Pathway microarray (http://www.sabiosciences.com/rt_pcr_product/HTML/PAHS-039A.html, SABiosciences Frederick, MD). Briefly, total RNA was harvested from each individual T cell subset from each patient or healthy control and contaminating DNA was digested with DNase. Messenger RNA was converted to cDNA and loaded onto PCR array plates for quantitative real-time PCR. Quantification of transcript levels was determined by normalizing to 5 housekeeping genes from each individual sample. Relative gene expression levels for each subset were averaged and compared between cell populations from the patient group and healthy controls. Because of the multiple comparisons only p values M-bM-^IM-$ 0.01 were considered significant.

Dataset Information

Gene Expression Profile during human CD4+ T cell differentiation

Dataset's files

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure

Tweets