Unknown,Transcriptomics,Genomics,Proteomics

Dataset Information

MicroRNA expression profiling of human blood monocyte subsets highlights functional differences

ABSTRACT: Identification of micro-RNAs involved in regulating differential apoptosis and migration potential of human monocyte subsets Comparision between freshly isolated CD14++CD16- monocytes and CD14+CD16+ monocytes from healthy human blood

ORGANISM(S): Homo sapiens

SUBMITTER: Wing-Cheong Wong

PROVIDER: E-GEOD-52986 | biostudies-arrayexpress |

REPOSITORIES: biostudies-arrayexpress

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Publications

MicroRNA expression profiling of human blood monocyte subsets highlights functional differences.

Dang Truong-Minh TM Wong Wing-Cheong WC Ong Siew-Min SM Li Peng P Lum Josephine J Chen Jinmiao J Poidinger Michael M Zolezzi Francesca F Wong Siew-Cheng SC

Immunology 20150701 3

Within human blood there are two subsets of monocytes that can be identified by differential expression of CD16. Although numerous phenotypic and functional differences between the subsets have been described, little is known of the mechanisms underlying the distinctive properties of the two subsets. MicroRNAs (miRNAs) are small non-coding RNAs that can regulate gene expression through promoting mRNA degradation or repressing translation, leading to alterations in cellular processes. Their poten ...[more]

PMID: 25707426

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Project description:On the basis of the cell-surface molecule expression, CD16+ monocytes are likely comprised of distinct subpopulations of monocytes rather than a continuum of CD14+ monocytes with differing levels of cell activation. To better study this, we used gene array analysis that compared overall gene expression profiles of CD16+ subpopulations (CD14+CD16+ and CD16+) with that of CD14+CD16-. Gene expression in three FACS-sorted monocyte subsets was assessed by Affymetrix rhesus macaque oligonucleotide gene arrays that contain 52,024 probe sets covering 47,000 monkey genes. There were 29,361 probe sets that expressed in at least one subpopulation (raw array signal intensity > 32). Raw data were processed using robust multi-array average. To identify the most strongly, differentially expressed genes in each subpopulation, we only selected transcripts with consistently greater than four-fold difference (P < .05). In comparison to CD14+CD16- monocyte subset, a large number of genes (9098/29361, 30.9%) were differentially expressed in both CD14+CD16+ and CD16+ subsets: 1999 genes down-regulated; and 7099 genes up-regulated. Altogether, we observed large-scale gene expression differences between the CD14+CD16- subset and the two CD16+ subsets (CD14+CD16+ and CD16+), demonstrating transcriptional heterogeneity. The differential gene expression between CD16- and CD16+ monocytes underscore the fundamental differences between these cells. Comparisons between CD14+CD16+ and CD16+ were made to identify the genes that distinguish between these two CD16+ subpopulations. A relatively small number of genes were specifically associated with each subpopulation. Thirty-one genes were expressed strongly in CD14+CD16+ subset compared to CD16+ subset, and 94 genes were expressed strongly in CD16+ subset compared to CD14+CD16+ subset. A small set of genes that were expressed differentially between the two CD16+ subpopulations highlights similarity between the two cell types, but differentially expressed genes of function observed in each subset suggest different roles that these two subpopulations may play in vivo.

Dataset Information

MicroRNA expression profiling of human blood monocyte subsets highlights functional differences

Publications

MicroRNA expression profiling of human blood monocyte subsets highlights functional differences.

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