GEO DataSets

Analysis of peripheral blood monocyte (Mo) CD16 (FcγRIII) subsets CD16- and CD16+. Increase in circulating CD16+ Mo have been reported in inflammatory pathologies (sepsis/HIV infection). Results provide insight into developmental and functional relationship between CD16+ and CD16- Mo subsets.

Organism:

Homo sapiens

Type:

Expression profiling by array, count, 2 cell type sets

Platform:

GPL570

Series:

GSE16836

8 Samples

Download data: CEL, CHP

(Submitter supplied) Human peripheral blood monocytes (Mo) consist of subsets distinguished by expression of CD16 (FCGRIII) and chemokine receptors. Classical CD16- Mo express CCR2 and migrate in response to CCL2, while a minor CD16+ Mo subset expresses CX3CR1 and migrates into tissues expressing CX3CL1. CD16+ Mo produce pro-inflammatory cytokines and are expanded in certain inflammatory conditions including HIV infection. more...

Organism:

Homo sapiens

Type:

Expression profiling by array

Dataset:

GDS4219

Platform:

GPL570

8 Samples

Download data: CEL, CHP

(Submitter supplied) Classical CD16- versus intermediate/non-classical CD16+ monocytes differ in their homing potential and immunological functions; but whether they differentiate into dendritic cells (DC) with distinct contributions to immunity against bacterial/viral pathogens remains poorly investigated. Here, we employed a systems biology approach to identify differences between CD16+ and CD16- monocyte-derived DC (MDDC) with potential clinical relevance Although both CD16+ and CD16- MDDC acquire classical DC markers in vitro, genome-wide transcriptional profiling revealed unique molecular signatures for CD16+ MDDC, including adhesion molecules (CD103), transcription factors (TCF4), enzymes (ALDH1L2), and chemokines (CCL22).

Organism:

Homo sapiens

Type:

Expression profiling by array

Platform:

GPL16686

30 Samples

Download data: CEL

(Submitter supplied) In this study gene expression of human blood classical monocytes (CD14++CD16-), CD16 positive monocytes (consisting of non-classical CD14+16++ and intermediate CD14++CD16+ monocytes) and CD1c+ CD19- dendritic cells from healthy subjects were investigated. Keywords: expression profiling by array

Organism:

Homo sapiens

Type:

Expression profiling by array

Platform:

GPL570

9 Samples

Download data: CEL, CHP

(Submitter supplied) Trafficking of monocytes into lung tissue and their differentiation into lung resident macrophages and dendritic cells is supposed to be regulated by the expression of specific gene clusters, which promote cell-cell interaction, migration and matrix degradation and the acquisition of tissue specific cellular phenotypes. Traffic related gene clusters include chemokines, integrins, and tissue-degrading matrix metallopeptidases, for all of which members have been shown to be functionally important. more...

Organism:

Mus musculus

Type:

Expression profiling by array

Platform:

GPL4134

3 Samples

Download data

(Submitter supplied) The new official nomenclature subdivides human monocytes into three subsets, classical (CD14++CD16-), intermediate (CD14++CD16+) and nonclassical (CD14+CD16+). Here, we comprehensively define relationships and unique characteristics of the three human monocyte subsets using microarray and flow cytometry analysis. Our analysis revealed that the intermediate and nonclassical monocyte subsets were most closely related. more...

Organism:

Homo sapiens

Type:

Expression profiling by array

Platform:

GPL6102

24 Samples

Download data: TXT

(Submitter supplied) Murine monocytes (MC) are classified into Ly6Chigh and Ly6Clow MC. Ly6Chigh MC is the pro-inflammatory subset and the counterpart of human CD14++CD16+ intermediate MC which contributes to systemic and tissue inflammation in various metabolic disorders, including hyperhomocysteinemia (HHcy). This study aims to explore molecule signaling mediating MC subset differentiation in HHcy and control mice.Mouse white blood cell were prepared from peripheral blood and stained with antibody against CD11b, Ly6G and Ly6C and subjected for flow cytometry cell sorting. more...

Organism:

Mus musculus

Type:

Expression profiling by high throughput sequencing

Platforms:

GPL21103 GPL19057

8 Samples

Download data: H5, JSON, TSV

(Submitter supplied) Identification of micro-RNAs involved in regulating differential apoptosis and migration potential of human monocyte subsets

Organism:

Homo sapiens

Type:

Non-coding RNA profiling by array

Platform:

GPL8179

8 Samples

Download data: TXT

(Submitter supplied) Identification of genes differentially expressed between human CD14+CD16- and CD16+ monocyte-derived macrophages generated in the presence of either GM-CSF (termed GM14 and GM16, respectively) or M-CSF (termed M14 and M16, respectively)

Organism:

Homo sapiens

Type:

Expression profiling by array

Platform:

GPL6480

12 Samples

Download data: TXT

(Submitter supplied) Monocytes are a heterogeneous cell population with subset-specific functions and phenotypes. The differential expression of CD14 and CD16 distinguishes classical CD14++CD16-, intermediate CD14++CD16+ and non-classical CD14+CD16++ monocytes. However, CD14++CD16+ monocytes remain the most poorly characterized subset so far. Therefore we analyzed the transcriptomes of the three monocyte subsets using SuperSAGE in combination with high-throughput sequencing. more...

Organism:

Homo sapiens

Type:

Expression profiling by high throughput sequencing

Platform:

GPL10999

3 Samples

Download data: TXT

(Submitter supplied) Human peripheral monocytes have been categorized into three subsets based on differential expression levels of CD14 and CD16. However, the factors that influence the distribution of monocyte subsets and the roles which each subset plays in autoimmunity are not well studied. To compare the gene expression profiling 1) on intermediate monocytes CD14++CD16+ monocytes between healthy donors and autoimmune uveitis patients and 2) among 3 monocyte subsets in health donors, here we purified circulating intermediate CD14++CD16+ monocytes from 5 patients with autoimmune uveitis (labeled as P1-5) and 4 healthy donors (labeled as HD1-4) by flow cytometry and isolated total RNA to proceed microarray assay. more...

Organism:

Homo sapiens

Type:

Expression profiling by array

Platform:

GPL570

21 Samples

Download data: CEL

(Submitter supplied) We performed single-cell RNA-seq on CD14+ monocytes isolated from the blood of healthy donors. Using the 10x chromium technology, we analyzed 425 and 431 cells from 2 individual donors.

Organism:

Homo sapiens

Type:

Expression profiling by high throughput sequencing

Platform:

GPL16791

2 Samples

Download data: CSV

(Submitter supplied) We analyzed the transcriptomes of human dendritic cells and macrophages derived from monocytes using MCSF + IL-4 + TNFa, or IL-34 + IL-4 + TNFa, or dendritic cells derived from monocytes using GMCSF + IL-4.

Organism:

Homo sapiens

Type:

Expression profiling by array

Platform:

GPL11532

30 Samples

Download data: CEL

(Submitter supplied) Previous studies suggest that monocytes are an important contributor to tuberculosis (TB)-specific immune signatures in blood. Here we carried out single-cell profiling of classical CD14+CD16- and intermediate CD14+CD16+ monocytes in paired blood samples of active TB (ATB) patients at diagnosis and end-treatment. At diagnosis, ATB patients displayed upregulation of interferon signaling genes that significantly overlapped with previously reported blood TB signatures in both CD14+ subsets. more...

Organism:

Homo sapiens

Type:

Expression profiling by high throughput sequencing; Other

Platform:

GPL24676

2 Samples

Download data: MTX, TSV, TXT

(Submitter supplied) Tuberculosis (TB) is responsible for the majority of mortality and morbidity associated with infectious diseases worldwide. The characterization of exact molecular components of immune response associated with protection against TB may help design more effective therapeutic interventions. In this study, we aimed to characterize the immune signature of monocyte subsets associated with active versus latent infection with Mycobacterium tuberculosis. more...

Organism:

Homo sapiens

Type:

Expression profiling by high throughput sequencing

Platform:

GPL24676

294 Samples

Download data: TXT

(Submitter supplied) We sought a comprehensive understanding of myeloid cell types driving fibrosis in diffuse cutaneous systemic sclerosis (dcSSc) skin. T-stochastic neighbor embedding analysis of single cell transcriptome data revealed 12 myeloid cell clusters, nine of which paralleled previously described HC Mφ/DC clusters and three of which were dcSSc-specific myeloid cell clusters. One SSc-associated macrophage cluster, highly expressing FCGR3A, on pseudotime analysis was suggested to derive from normal CCR1+ and MARCO+ macrophages. more...

Organism:

Homo sapiens

Type:

Expression profiling by high throughput sequencing

Platforms:

GPL20795 GPL18573

15 Samples

Download data: H5

(Submitter supplied) Skin and lung fibrosis in systemic sclerosis (SSc) is driven by myofibroblasts, alpha-smooth muscle actin (SMA) expressing cells that produce matrix as well as increase tension on surrounding tissues. Myofibroblast progenitors have been described to arise from a variety of cell types in murine fibrosis models, but relatively modest insight is available as to their source and differentiation in fibrotic human diseases. more...

Organism:

Homo sapiens

Type:

Expression profiling by high throughput sequencing

Platform:

GPL18573

22 Samples

Download data: H5

(Submitter supplied) During inflammation, monocytes differentiate within tissues into macrophages (mo-Mac) or dendritic cells (mo-DC). Whether these two progenies derive from alternative differentiation pathways or represent different stages along a continuum remains unclear. Here we addressed this question using temporal single-cell RNA sequencing in an in vitro model allowing the simultaneous differentiation of human mo-Mac and mo-DC. more...

Organism:

Homo sapiens

Type:

Expression profiling by high throughput sequencing; Other

Platform:

GPL24676

8 Samples

Download data: MTX, TSV

(Submitter supplied) Human and mouse blood each contain two monocyte subsets. Here, we investigated the extent of their similarity using a microarray approach. Approximately 300 genes in human and 550 genes in mouse were differentially expressed between subsets. More than 130 of these gene expression differences were conserved between mouse and human monocyte subsets. We confirmed numerous differences at the cell surface protein level. more...

Organism:

Homo sapiens

Type:

Expression profiling by array

Platform:

GPL570

6 Samples

Download data: CEL

(Submitter supplied) Human and mouse blood each contain two monocyte subsets. Here, we investigated the extent of their similarity using a microarray approach. Approximately 300 genes in human and 550 genes in mouse were differentially expressed between subsets. More than 130 of these gene expression differences were conserved between mouse and human monocyte subsets. We confirmed numerous differences at the cell surface protein level. more...

Organism:

Mus musculus

Type:

Expression profiling by array

Platform:

GPL1261

8 Samples

Download data: CEL