MiRNA profiling of FACS sorted human leukocyte cell types
Ontology highlight
ABSTRACT:
ORGANISM(S): Homo sapiens
SUBMITTER: R van Eijsden
PROVIDER: E-GEOD-19183 | biostudies-arrayexpress |
REPOSITORIES: biostudies-arrayexpress
Similar Datasets
Project description:Affymetrix miRNA arrays were used to generate miRNA profiles of peripheral blood leukocytes and FACS sorted neutrophils, monocytes, B-cells, T-cells, CD4+ T-cells, and CD8+ T-cells, being the major leukocyte cell types in human. The study allowed for the determination of the miRNAs that were expressed in each leukocyte cell subtype. Two-way hierarchical clustering on the miRNAs and samples illustrated that miRNA expression profiles of B- and T-cells were very much alike, and that there there were a number of miRNAs which appeared to have an expression profile specific to certain leukocyte cell subtypes. This study will facilitate the identification of microRNAs associated with and contributing to single leukocyte cell subtypes.
2009-11-26 | GSE19183 | GEO
Project description:Peripheral blood leukocytes are the most commonly used surrogates to study epigenome-induced risk and epigenomic response to disease related stress. We considered the hypothesis that the TET enzyme catalyzed hydroxymethylation of 5mC to 5hmC might vary among peripheral blood leukocytes and reflect their responsiveness to environment. Reduction in TET1 and/or TET2 activity leads to the over-proliferation of various leukocyte precursors in bone marrow and acute leukemia, yet, the role of 5mC hydroxymethylation in peripheral blood is less well studied. We developed simplified protocols to rapidly and reiteratively isolate mostly non-overlapping leukocyte populations from a single small sample of fresh or frozen whole blood. Among peripheral leukocyte types we found extreme variation in the levels of transcripts encoding proteins involved in cytosine methylation (DNMT1, 3A, 3B) and turnover by de-methylation (TET1, 2, 3) and DNA repair (GADD45a, b, g) and in the gene-region-specific levels of DNA 5hmC (CD4 T cells >> CD14 monocytes > CD16 neutrophils > CD19 B cells > CD56 NK cells > Siglec 8 eosinophils > CD8 T cells). Taken together our results suggest a hierarchy of responsiveness among classes of leukocytes with CD4+ and CD8+ T cells and CD14 monocytes being the most distinctly potentiated for a rapid methylome response to physiological stress and disease. TAB-seq data on 5-hydroxymehtylcytosine (Yu, M. et al. 2012. Cell 149, 1368-1380.) was collected from seven leukocyte types (CD4+ T cells, CD8+ T cells, CD14+ monocytes, CD16+ neutrophils, CD19+ B cells, CD56+ natural killer cells, and Siglec-8+ eosinophils) reiteratively isolated from peripheral blood collected from a healthy male.
2016-07-05 | E-GEOD-70519 | biostudies-arrayexpress
Project description:Blood consists of different cell populations with distinct functions and correspondingly, distinct gene expression profiles. In this study, global miRNA expression profiling was performed across a panel of nine human immune cell subsets (neutrophils, eosinophils, monocytes, B cells, NK cells, CD4 T cells, CD8 T cells, mDCs and pDCs) to identify cell-type specific miRNAs. mRNA expression profiling was performed on the same samples, to determine if miRNAs specific to certain cell types down-regulated expression levels of their target genes. Six cell-type specific miRNAs (miR-143; neutrophil specific, miR-125; T cells and neutrophil specific, miR-500; monocytes and pDC specific, miR-150; lymphoid cells specific, miR-652 and miR-223; both myeloid cells specific) were negatively correlated with expression of their predicted target genes. These results were further validated using an independent cohort where similar immune cell subsets were isolated and profiled for both miRNA and mRNA expression. miRNAs negatively correlated with target gene expression in both cohorts were identified as candidates for miRNA-mRNA regulatory pairs and were used to construct a cell-type specific regulatory network. miRNA-mRNA pairs formed two distinct clusters in the network corresponding to myeloid (nine miRNAs) and lymphoid lineages (two miRNAs). Several myeloid specific miRNAs targeted common genes including ABL2, EIF4A2, EPC1 and INO80D; these common targets were enriched for genes involved in the regulation of gene expression (p < 9.0E-7). Those miRNA might therefore have significant further effect on gene expression by repressing the expression of genes involved in transcriptional regulation. The miRNA and mRNA expression profiles reported in this study form a comprehensive transcriptome database of various human blood cells and serve as a valuable resource for elucidating the role of miRNA mediated regulation in the establishment of immune cell identity. Nine cell subsets (CD16+CD66b+ Neutrophils, CD16-CD66b+ Eosinophils, CD14+ Monocytes, CD4+ T cells, CD8+ T cells, CD56+ NK cells, CD19+ B cells, CD123+ pDCs and CD11c+ mDCs) were isolated from healthy human blood and assessed for cell type purity by flow cytometry. Cell types were isolated from 5 pools of 5 healthy donors each, with the exception for monocytes, where 10 pools were used. RNA obtained from these purified populations were subsequently used for miRNA and mRNA expression profiling by Affymetrix GeneChip miRNA and HG-U133Plus2.0 microarrays.
2012-01-31 | E-GEOD-28487 | biostudies-arrayexpress
Project description:Blood consists of different cell populations with distinct functions and correspondingly, distinct gene expression profiles. In this study, global miRNA expression profiling was performed across a panel of nine human immune cell subsets (neutrophils, eosinophils, monocytes, B cells, NK cells, CD4 T cells, CD8 T cells, mDCs and pDCs) to identify cell-type specific miRNAs. mRNA expression profiling was performed on the same samples, to determine if miRNAs specific to certain cell types down-regulated expression levels of their target genes. Six cell-type specific miRNAs (miR-143; neutrophil specific, miR-125; T cells and neutrophil specific, miR-500; monocytes and pDC specific, miR-150; lymphoid cells specific, miR-652 and miR-223; both myeloid cells specific) were negatively correlated with expression of their predicted target genes. These results were further validated using an independent cohort where similar immune cell subsets were isolated and profiled for both miRNA and mRNA expression. miRNAs negatively correlated with target gene expression in both cohorts were identified as candidates for miRNA-mRNA regulatory pairs and were used to construct a cell-type specific regulatory network. miRNA-mRNA pairs formed two distinct clusters in the network corresponding to myeloid (nine miRNAs) and lymphoid lineages (two miRNAs). Several myeloid specific miRNAs targeted common genes including ABL2, EIF4A2, EPC1 and INO80D; these common targets were enriched for genes involved in the regulation of gene expression (p < 9.0E-7). Those miRNA might therefore have significant further effect on gene expression by repressing the expression of genes involved in transcriptional regulation. The miRNA and mRNA expression profiles reported in this study form a comprehensive transcriptome database of various human blood cells and serve as a valuable resource for elucidating the role of miRNA mediated regulation in the establishment of immune cell identity. Nine cell subsets (CD16+CD66b+ Neutrophils, CD16-CD66b+ Eosinophils, CD14+ Monocytes, CD4+ T cells, CD8+ T cells, CD56+ NK cells, CD19+ B cells, CD123+ pDCs and CD11c+ mDCs) were isolated from healthy human blood and assessed for cell type purity by flow cytometry. Cell types were isolated from 5 pools of 5 healthy donors each, with the exception for monocytes, where 10 pools were used. RNA obtained from these purified populations were subsequently used for miRNA and mRNA expression profiling by Affymetrix GeneChip miRNA and HG-U133Plus2.0 microarrays.
2012-01-31 | E-GEOD-28489 | biostudies-arrayexpress
Project description:Diversity of biological molecules in newborn and adult immune cells contributes to differences in cell function and atopic properties. Micro RNAs (miRNAs) are reported involve in the regulation of immune system. Therefore, determining the miRNA expression profile of leukocyte sub-populations is important for understanding immune system regulation. In order to explore the unique microRNA profiling that contribute to altered immune in neonates, we comprehensively analyzed the functional miRNA signatures of eight leukocyte subsets (polymorphonuclear cells, monocytes, CD4+ T cells, CD8+ T cells, natural killer cells, B cells, plasmacytoid dendritic cells (pDCs), and myeloid dendritic cells (mDCs)) from both neonatal and adult umbilical cord and peripheral blood samples, respectively. We observed distinct miRNA profiles between adult and neonatal blood leukocyte subsets, including unique miRNA signatures for each cell lineage. Leukocyte miRNA signatures were altered after stimulation. Adult peripheral leukocytes had higher let-7b-5p expression levels compared to neonatal cord leukocytes across multiple subsets, irrespective of stimulation. Transfecting neonatal monocytes with a let-7b-5p mimic resulted in a reduction of LPS-induced IL-6 and TNF-a production, while transfection of a let-7b-5p inhibitor into adult monocytes enhanced IL-6 and TNF-a production. With this functional approach, we provide intact differential microRNA expression profiling of specific immune cell subsets between neonates and adults. These studies serve as a basis to further understand the altered immune response observed in neonates and advance the development of therapeutic strategies
2016-11-16 | GSE89853 | GEO
Project description:Peripheral blood leukocytes are the most commonly used surrogates to study epigenome-induced risk and epigenomic response to disease related stress. We considered the hypothesis that the TET enzyme catalyzed hydroxymethylation of 5mC to 5hmC might vary among peripheral blood leukocytes and reflect their responsiveness to environment. Reduction in TET1 and/or TET2 activity leads to the over-proliferation of various leukocyte precursors in bone marrow and acute leukemia, yet, the role of 5mC hydroxymethylation in peripheral blood is less well studied. We developed simplified protocols to rapidly and reiteratively isolate mostly non-overlapping leukocyte populations from a single small sample of fresh or frozen whole blood. Among peripheral leukocyte types we found extreme variation in the levels of transcripts encoding proteins involved in cytosine methylation (DNMT1, 3A, 3B) and turnover by de-methylation (TET1, 2, 3) and DNA repair (GADD45a, b, g) and in the gene-region-specific levels of DNA 5hmC (CD4 T cells >> CD14 monocytes > CD16 neutrophils > CD19 B cells > CD56 NK cells > Siglec 8 eosinophils > CD8 T cells). Taken together our results suggest a hierarchy of responsiveness among classes of leukocytes with CD4+ and CD8+ T cells and CD14 monocytes being the most distinctly potentiated for a rapid methylome response to physiological stress and disease.
2016-07-05 | GSE70519 | GEO
Project description:Gene expression microarray profiling was performed on peripheral blood leukocyte subsets (CD4+ T cells, CD8+ T cells, CD14+ monocytes, CD16+ neutrophils, CD19+ B cells) from healthy controls, patients with flaring autoimmune disease, and in patients with autoimmune disease following treatment, either 0 months (i.e. pre-treatment), or 3 or 12 months (into treatment).
2016-02-25 | E-MTAB-3554 | biostudies-arrayexpress
Project description:The objective of this study is to: 1) Characterize the cellular origin of transciptional signatures observed on day 1 after vaccination with 2009/10 seasonal influenza and pneumococcal vaccine discovered by transcriptional profiling of whole blood samples in data set “WholeBlood_SysVax”. 2) Discover potential biomarkers for immune-responsiveness to non-live vaccines. In this Series, a total of 72 samples of leukocyte subsets (neutrophils, monocytes, CD4+ T and CD8+ T lymphocytes) were isolated before and 24 hours after vaccination from 6 healthy adult individuals receiving seasonal influenza and 4 healthy adult individuals receiving pneumococcal vaccine. From each subject, neutrophils and peripheral blood mononuclear cells were obtained by Ficoll gradient separation and then CD14+ monocytes, CD4+ T and CD8+ T cells were purified by sequential positive bead selection. Cells were transferred into RLT buffer and stored at -80ºC until mRNA extraction.
2013-07-10 | E-GEOD-30059 | biostudies-arrayexpress
Project description:This SuperSeries is composed of the following subset Series: GSE28487: miRNA expression profiling of human immune cell subsets (Roche) GSE28489: miRNA expression profiling of human immune cell subsets (HUG) GSE28490: mRNA expression profiling of human immune cell subset (Roche) GSE28491: mRNA expression profiling of human immune cell subsets (HUG) Blood consists of different cell populations with distinct functions and correspondingly, distinct gene expression profiles. In this study, global miRNA expression profiling was performed across a panel of nine human immune cell subsets (neutrophils, eosinophils, monocytes, B cells, NK cells, CD4 T cells, CD8 T cells, mDCs and pDCs) to identify cell-type specific miRNAs. mRNA expression profiling was performed on the same samples, to determine if miRNAs specific to certain cell types down-regulated expression levels of their target genes. Six cell-type specific miRNAs (miR-143; neutrophil specific, miR-125; T cells and neutrophil specific, miR-500; monocytes and pDC specific, miR-150; lymphoid cells specific, miR-652 and miR-223; both myeloid cells specific) were negatively correlated with expression of their predicted target genes. These results were further validated using an independent cohort where similar immune cell subsets were isolated and profiled for both miRNA and mRNA expression. miRNAs negatively correlated with target gene expression in both cohorts were identified as candidates for miRNA-mRNA regulatory pairs and were used to construct a cell-type specific regulatory network. miRNA-mRNA pairs formed two distinct clusters in the network corresponding to myeloid (nine miRNAs) and lymphoid lineages (two miRNAs). Several myeloid specific miRNAs targeted common genes including ABL2, EIF4A2, EPC1 and INO80D; these common targets were enriched for genes involved in the regulation of gene expression (p < 9.0E-7). Those miRNA might therefore have significant further effect on gene expression by repressing the expression of genes involved in transcriptional regulation. The miRNA and mRNA expression profiles reported in this study form a comprehensive transcriptome database of various human blood cells and serve as a valuable resource for elucidating the role of miRNA mediated regulation in the establishment of immune cell identity. Refer to individual Series
2012-01-23 | E-GEOD-28492 | biostudies-arrayexpress
Project description:Blood consists of different cell populations with distinct functions and correspondingly, distinct gene expression profiles. In this study, global miRNA expression profiling was performed across a panel of nine human immune cell subsets (neutrophils, eosinophils, monocytes, B cells, NK cells, CD4 T cells, CD8 T cells, mDCs and pDCs) to identify cell-type specific miRNAs. mRNA expression profiling was performed on the same samples, to determine if miRNAs specific to certain cell types down-regulated expression levels of their target genes. Six cell-type specific miRNAs (miR-143; neutrophil specific, miR-125; T cells and neutrophil specific, miR-500; monocytes and pDC specific, miR-150; lymphoid cells specific, miR-652 and miR-223; both myeloid cells specific) were negatively correlated with expression of their predicted target genes. These results were further validated using an independent cohort where similar immune cell subsets were isolated and profiled for both miRNA and mRNA expression. miRNAs negatively correlated with target gene expression in both cohorts were identified as candidates for miRNA-mRNA regulatory pairs and were used to construct a cell-type specific regulatory network. miRNA-mRNA pairs formed two distinct clusters in the network corresponding to myeloid (nine miRNAs) and lymphoid lineages (two miRNAs). Several myeloid specific miRNAs targeted common genes including ABL2, EIF4A2, EPC1 and INO80D; these common targets were enriched for genes involved in the regulation of gene expression (p < 9.0E-7). Those miRNA might therefore have significant further effect on gene expression by repressing the expression of genes involved in transcriptional regulation. The miRNA and mRNA expression profiles reported in this study form a comprehensive transcriptome database of various human blood cells and serve as a valuable resource for elucidating the role of miRNA mediated regulation in the establishment of immune cell identity. Nine cell subsets (CD16+CD66b+ Neutrophils, CD16-CD66b+ Eosinophils, CD14+ Monocytes, CD4+ T cells, CD8+ T cells, CD56+ NK cells, CD19+ B cells, CD123+ pDCs and CD11c+ mDCs) were isolated from healthy human blood and assessed for cell type purity by flow cytometry. Cell types were isolated from 5 pools of 5 healthy donors each, with the exception for monocytes, where 10 pools were used. RNA obtained from these purified populations were subsequently used for miRNA and mRNA expression profiling by Affymetrix GeneChip miRNA and HG-U133Plus2.0 microarrays.
2012-01-31 | E-GEOD-28491 | biostudies-arrayexpress