Metabolomics,Unknown,Transcriptomics,Genomics,Proteomics

Dataset Information

Expression data from porcine monocytes sorted on expression of CD14 and CD163

ABSTRACT: Human and mouse monocytes can be divided into 2 different sub-populations, using CD14-CD16 and Ly6C-CX3CR1 respectively. We investigated the pig monocytes sub-populations and found that all porcine monocyte express CD16 and CD172M-NM-1 but can be divided into 2 subpopulation using CD14 and the scavenger receptor CD163. The CD14hi-CD163low population resemble to the inflammatory monocytes whereas the CD14low-CD163hi display more a resident monocyte type. Pig monocyte can be differentiated into macrophages when cultured with rhCSF-1 and show an increase in size, granularity and autofluorescence, and express the common macrophage markers CD14, CD16 and CD172M-NM-1. Gene expression in these 2 sub-populations was profiled using the newly-developed and annotated pig whole genome snowball microarray, showing a distinct pattern between inflammatory and resident monocytes but this difference would be more a maturation process instead of two separate subsets. Furthermore, the expression of certain genes such as CD36, CLEC4E or TREM-1 proved to share the same pattern as human monocytes, quite different from mouse monocytes. These results emphasize the potential role of the pigs as a model for human inflammatory disease and will improved our knowledge on the mononuclear phagocyte system development. Porcine PBMCs were isolated from the blood of three seperate pigs, FACS sorted on expression of CD14 and CD163 and RNA isolated from each sample, a total of 6 microarrays were hybridised

ORGANISM(S): Sus scrofa

SUBMITTER: Lynsey Fairbairn

PROVIDER: E-GEOD-43898 | biostudies-arrayexpress |

REPOSITORIES: biostudies-arrayexpress

ACCESS DATA

Similar Datasets

Project description:BACKGROUND: Combination antiretroviral therapy (cART) is able to control HIV-1 viral replication, however long-lived latent infection in resting memory CD4+ T-cells persist. The mechanisms for establishment and maintenance of latent infection in resting memory CD4+ T-cells remain unclear. Previously we have shown that HIV-1 infection of resting CD4+ T-cells co-cultured with CD11c+ myeloid dendritic cells (mDC) produced a population of non-proliferating T-cells with latent infection. Here we asked whether different antigen presenting cells (APC), including subpopulations of DC and monocytes, were able to induce post-integration latent infection in resting CD4+ T-cells, and examined potential cell interactions that may be involved using RNA-seq. RESULTS: mDC (CD1c+), SLAN+ DC and CD14+ monocytes were most efficient in stimulating proliferation of CD4+ T-cells during syngeneic culture and in generating post-integration latent infection in non-proliferating CD4+ T-cells following HIV-1 infection of APC-T-cell co-cultures. In comparison, plasmacytoid DC (pDC) and B-cells did not induce latent infection in APC-T-cell co-cultures. We compared the RNA expression profiles of APC subpopulations that could and could not induce latency in non-proliferating CD4+ T-cells. Gene expression analysis, comparing the mDC, SLAN+ DC and CD14+ monocyte subpopulations to pDC identified 53 upregulated genes that encode proteins expressed on the plasma membrane that could signal to CD4+ T-cells via cell-cell interactions (32 genes), immune checkpoints (IC) (5 genes), T-cell activation (9 genes), regulation of apoptosis (5 genes), antigen presentation (1 gene) and through unknown ligands (1 gene). CONCLUSIONS: APC subpopulations from the myeloid lineage, specifically mDC subpopulations and CD14+ monocytes, were able to efficiently induce post-integration HIV-1 latency in non-proliferating CD4+ T-cells in vitro. Inhibition of key pathways involved in mDC-T-cell interactions and HIV-1 latency may provide novel targets to eliminate HIV latency. mRNA profiles of sorted, pure antigen presenting cells including, CD1c+ myleoid dendirtic cells (mDC), SLAN+ mDC, CD14+ monocytes and plasmacytoid DC (pDC), were generated using next generation sequencing in triplicate, using Illumina Illumina Hiseq 2000.

Dataset Information

Expression data from porcine monocytes sorted on expression of CD14 and CD163

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure