Metabolomics,Unknown,Transcriptomics,Genomics,Proteomics

Dataset Information

Expression profiles from a variety of resting and activated human immune cells

ABSTRACT: Immune cell-specific expression is one indication of the importance of a gene's role in the immune response. In order to identify such patterns, we set out to broadly profile gene expression in a variety of immune cells. We isolated twelve different types of human leukocytes from peripheral blood and bone marrow, treated them to induce activation and/or differentiation, and profiled their gene expression before and after treatment. The twelve cell types are: B cells, CD14+ cells, CD4+ CD45RO+ CD45RA- T cells, CD4+ T cells, CD8+ T cells, IgG/IgA memory B cells, IgM memory B cells, Monocytes, NK cells, Neutrophils, Plasma cells from bone marrow, and Plasma cells from PBMC.

ORGANISM(S): Homo sapiens

SUBMITTER: Alex Abbas

PROVIDER: E-GEOD-22886 | biostudies-arrayexpress |

REPOSITORIES: biostudies-arrayexpress

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Publications

Immune response in silico (IRIS): immune-specific genes identified from a compendium of microarray expression data.

Abbas A R AR Baldwin D D Ma Y Y Ouyang W W Gurney A A Martin F F Fong S S van Lookeren Campagne M M Godowski P P Williams P M PM Chan A C AC Clark H F HF

Genes and immunity 20050601 4

Immune cell-specific expression is one indication of the importance of a gene's role in the immune response. We have compiled a compendium of microarray expression data for virtually all human genes from six key immune cell types and their activated and differentiated states. Immune Response In Silico (IRIS) is a collection of genes that have been selected for specific expression in immune cells. The expression pattern of IRIS genes recapitulates the phylogeny of immune cells in terms of the lin ...[more]

PMID: 15789058

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Project description:To compare human memory CD4+ T cell subsets in peripheral blood (PB) and bone marrow (BM) of healthy individuals at transcriptional level, we analyzed the global gene expression of ex vivo PB CD69- as well as BM CD69- and CD69+ memory CD4+ T cells from 4 paired PB and BM samples. The gene expression of these subsets was additionally compared to the transcriptional profile of 8 PB samples taken ex vivo or stimulated with phorbol myristate acetate (PMA) and Ionomycin for 3 hours. Three ex vivo memory CD4+ T cell subsets (CD4+CD45RO+CD69+ and CD4+CD45RO+CD69- cells from bone marrow; CD4+CD45RO+CD69- cells from peripheral blood) were isolated from 4 paired bone marrow and blood samples (two males and two females) or from a different cohort of 8 blood samples (3 males and five females). The purity of sorted cells was higher than 95% as assessed by FACS. Subsequently, a fraction of purified cells from the 8 blood samples were stimulated with phorbol-myristic-acid/ionomycin (PMA/iono) for 3 h and used as high controls. Total RNA of each cell subset was extracted using a NucleoSpin RNA XS Kit (Macherey-Nagel) or RNeasy Mini kit (Qiagen). The integrity and amount of isolated RNA was assessed for each sample using an Agilent 2100 Bioanalyzer (Agilent, Waldbronn, Germany) and a NanoDrop ND-1000 spectrophotometer (NanoDrop Technologies, Wilmington, DE). Double-stranded complementary RNA was synthesized from 1 M-BM-5g total RNA using Message AmpII Biotin (Ambion, USA). Fifteen micrograms of fragmented cRNA of each sample were hybridized to 28 HG-U133A plus 2.0 GeneChips (Affymetrix). Hybridization was performed in a Hybridization Oven 640, and chips were washed and stained in the Fluidics Station 400 (both Affymetrix). Finally, the arrays were scanned with a GeneChip Scanner 3000 using the GCOS software, version 1.4, both Affymetrix. All relevant GCOS data of quality checked microarrays were analyzed with High Performance Chip Data Analysis (HPCDA, unpublished), using the BioRetis database (www.bioretis-analysis.de), as described and validated previously.

Project description:MicroRNAs (miRNAs) have emerged as important players in the regulation of T-cell functionality. However, comprehensive insight into the extent of age-related miRNA changes in T cells is lacking. We established miRNA expression patterns of CD45RO- naïve and CD45RO+ memory T-cell subsets isolated from peripheral blood cells from young and elderly individuals. Unsupervised clustering of the miRNA expression data revealed an age-related clustering in the CD45RO- T cells, while CD45RO+ T cells clustered based on expression of CD4 and CD8. Seventeen miRNAs showed an at least 2-fold up- or downregulation in CD45RO- T cells obtained from young as compared to old donors. Validation on the same and independent samples revealed a statistically significant age-related upregulation of miR-21, miR-223 and miR-15a. In a T-cell subset analysis focusing on known age-related phenotypic changes, we showed significantly higher miR-21 and miR-223 levels in CD8+CD45RO-CCR7- TEMRA compared to CD45RO-CCR7+ TNAIVE-cells. Moreover, miR-21 but not miR-223 levels were significantly increased in CD45RO-CD31- post-thymic TNAIVE cells as compared to thymic CD45RO-CD31+ TNAIVE cells. Upon activation of CD45RO- TNAIVE cells we observed a significant induction of miR-21 especially in CD4+ T cells, while miR-223 levels significantly decreased only in CD4+ T cells. Besides composition and activation, we showed a borderline significant increase in miR-21 levels upon an increasing number of population doublings in CD4+ T-cell clones. Together, our results show that ageing related changes in miRNA expression are dominant in the CD45RO- T-cell compartment. The differential expression patterns can be explained by age related changes in T-cell composition, i.e. accumulation of CD8+ TEMRA and CD4+ post thymic expanded CD31- T cells and by cellular ageing, as demonstrated in a longitudinal clonal culture model. MicroRNA profiling was performed in eight T cell subsets: CD4 naive (CD3+CD4+CD45RO-), CD8 naive (CD3+CD4-CD45RO-), CD4 memory (CD3+CD4+CD45RO+) and CD8 memory (CD3+CD4-CD45RO+) T cells derived from 5 healthy young and 5 healthy old participants.

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Dataset Information

Expression profiles from a variety of resting and activated human immune cells

Publications

Immune response in silico (IRIS): immune-specific genes identified from a compendium of microarray expression data.

Similar Datasets

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