Homo sapiens
Ontology highlight
ABSTRACT:
PROVIDER: PRJNA385802 | ENA |
REPOSITORIES: ENA
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Project description:CD27 and CD45RA can be used to split T cells into 4 subsets, naïve cells, CD27+CD45RA+, central memory cells CD27+CD45RA-, effector memory cells CD27-CD45RA-, effector memory CD45RA re-expressing cell, CD27-CD45RA+. It is with in this final EMRA subset that it is belived the senenscent T cells reside. Cellular senescence is accompanied by a senescence-associated secretory phenotype (SASP), to date a SASP has not been demonstrated in T cells. We used microarray analysis to show primary human senescent CD8+ T cells also display a SASP comprising of chemokines, cytokines and extracellular matrix remodelling proteases. We also wanted to investigate whether p38MAPK regulated the SASP seen in EMRA T cells.
2017-11-01 | GSE98640 | GEO
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.
2010-12-28 | E-GEOD-25456 | biostudies-arrayexpress
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 -80°C. Samples analyzed by transcript levels of genes related to cytokine signaling were determined by the JAK/STAT Signaling Pathway microarray.
2010-12-28 | GSE25456 | GEO
Project description:The aim was to assess miRNA expression in 3 human ex-vivo CD8+ T cell subsets which span from antigen inexperienced cells (NaM-CM-/ve) to early memory cells (central memory, Tcm) and later stage memory cells (effector memory, Tem) CD8+ T cells were sorted on a FACS Aria II machine. N = naM-CM-/ve = CD8+, CCR7+, CD45RA+, CD45RO-, Tcm = central memory = CD8+, CCR7+, CD45RA-, CD45RO-,Tem= effector memory = CD8+, CCR7-, CD45RA-, CD45RO+ PBMC were isolated from 3 healthy human donors and sorted by FACS into 3 CD8+ T cell subsets. Total RNA was purified using the miRVANA kit (Ambion)
2014-10-24 | E-GEOD-54867 | biostudies-arrayexpress
Project description:Human Naïve-like CD8 T cells induced by the Yellow Fever Vaccine 17D were compared to the conventional subsets in total CD8 T cells Samples originate from peripheral blood mononuclear cells (PBMC) from 8 different donors vaccinated with the YF-17D vaccine 1'000 cells from various CD8 T cells subsets were purified by flow cytometry, from 8 vaccinees (donors d1 to d8); the subsets (cell types) include: A2/NS4b tetramer positive CCR7+ CD45RA+ CD8 T cells (A2_NS4b Naïve-like), Total Naive (CCR7+ CD45RA+), Total Tscm (CCR7+ CD45RA+ CD58+ CD95+), Total CM (CCR7+ CD45RA-) and Total Effectors (CCR7 negative).
2015-04-08 | E-GEOD-65804 | biostudies-arrayexpress
Project description:Previous reports have defined three subsets of mouse NK cells on the basis of the expression of CD27 and CD11b. The developmental relationship between these subsets was unclear. To address this issue, we evaluated the overall proximity between mouse NK cell subsets defined by CD27 and CD11b expression using pangenomic gene expression profiling. The results suggest that CD27+CD11b-, CD27+CD11b+ and CD27-CD11b+ correspond to three different intermediates stages of NK cell development.
2009-03-15 | GSE13229 | GEO
Project description:Previous reports have defined three subsets of mouse NK cells on the basis of the expression of CD27 and CD11b. The developmental relationship between these subsets was unclear. To address this issue, we evaluated the overall proximity between mouse NK cell subsets defined by CD27 and CD11b expression using pangenomic gene expression profiling. The results suggest that CD27+CD11b-, CD27+CD11b+ and CD27-CD11b+ correspond to three different intermediates stages of NK cell development. Experiment Overall Design: Spleen cells from RAG-/- mice have been isolated and stained with anti-NK1.1, anti CD27 and anti CD11b antibodies. NK1.1+ cells were sorted into CD27+ CD11b-, CD27+ CD11b+ and CD27- CD11b+ subsets by flow cytometry. There are two independent replicates for each sample. Total RNA was extracted with the RNeasy microkit (Qiagen) and gene expression profiles were performed according to manufacturer instructions (Affymetrix mouse 430 2.0).
2009-03-21 | E-GEOD-13229 | biostudies-arrayexpress
Project description:The aim was to assess miRNA expression in 3 human ex-vivo CD8+ T cell subsets which span from antigen inexperienced cells (Naïve) to early memory cells (central memory, Tcm) and later stage memory cells (effector memory, Tem) CD8+ T cells were sorted on a FACS Aria II machine. N = naïve = CD8+, CCR7+, CD45RA+, CD45RO-, Tcm = central memory = CD8+, CCR7+, CD45RA-, CD45RO-,Tem= effector memory = CD8+, CCR7-, CD45RA-, CD45RO+
2014-10-24 | GSE54867 | GEO
Project description:At variance with what is observed in mice, no distinct MAIT1 or MAIT17 subsets exist in human blood, as all MAIT cells express a variety of transcription factors such as Rorgt, Tbet, Eomes and Helios. However, they are also found in tissues in which they have specific effector functions. To determine these tissue programs, we analyzed the transcription pattern of MAIT cells as compared to mainstream memory (CD45RA-CD27+) CD4+ and CD8+ T cells from human blood and liver. The paired samples of blood and liver cells were obtained from patients operated for metastatic uveal melanoma (liver samples from a “healthy” liver fragment), and from the blood of healthy controls.
2018-12-03 | E-MTAB-7143 | biostudies-arrayexpress
Project description:Different pathogens trigger naïve T cells to express distinct sets of effector proteins. To better understand the molecular mechanisms that drive this functional specification, we used high resolution, label-free mass spectrometry to measure proteomic differences between the seven largest circulating human CD8+ T cell subsets. Unsupervised hierarchical clustering of the proteomes placed naïve and CD45RA-expressing effector-type T cells at the extremes of the spectrum with central-memory and other effector-memory stages located in between. Prominent differences between the subsets included expression of various granzymes, signaling proteins and molecules involved in metabolic regulation. Remarkably, whereas most of the proteomic changes between the subsets were gradual, a small proportion of proteins were regulated only in discrete subsets. The data obtained from this proteome analysis correspond best to a progressive differentiation model in which specific stable traits are gradually acquired during pathogen-specific development.
2017-05-02 | PXD004637 | Pride