Browse
Submit Data
Databases
API
Help

Dataset Information

0 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

Transcriptomic profile of single-cell sorted CD14+ monocytes from 6 PBMC samples of individuals with active tuberculosis

ABSTRACT: 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. In ATB diagnosis, we identified additional transcriptomic and functional changes in intermediate CD14+CD16+ monocytes, such as the upregulation of inflammatory and MHC-II genes, and increased capacity to activate T cells, reflecting overall increased activation in this population. Single-cell transcriptomics revealed that distinct subsets of intermediate CD14+CD16+ monocytes were responsible for each gene signature, indicating significant functional heterogeneity within this population. Finally, we observed that transcriptomic changes in CD14+ monocytes were transient, as they were no longer observed in the same ATB patients mid-treatment, suggesting they are associated with disease resolution.

ORGANISM(S): Homo sapiens

PROVIDER: GSE214237 | GEO | 2023/01/02

REPOSITORIES: GEO

ACCESS DATA

Json Xml

Dataset's files

Source:

			Action	DRS
		Other

Items per page:

1 - 1 of 1

Similar Datasets

Transcriptomic profile of circulating monocyte subsets in active versus latent tuberculosis

Project description: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. Transcriptomic profiling using RNA sequencing was performed on classical (CD14+CD16-), intermediate (CD14+CD16+) and non-classical (CD14-CD16+) monocytes isolated from individuals with active TB (at diagnosis and 2 months post treatment), latent TB, as well as from TB negative healthy controls. Overall, we found specific gene signatures for each monocyte subset that could successfully discriminate between individuals with active TB at diagnosis, treated active TB, latent TB and healthy controls.

2023-01-03 | GSE185372 | GEO

Expression data from intermediate monocytes from healthy donors and autoimmune uveitis patients

Project description: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. In addition, we also purified CD14+CD16++ (non-classical monocytes) and CD14++CD16- (classical monocytes) from 4 healthy donors to do microarray. We demonstrate that CD14++CD16+ monocytes from patients and healthy control donors share a similar gene expression profile. The CD14+CD16++ cells (non-classical monocytes) display the most distinctive gene expression profiling when compared to intermediate CD14++CD16+ monocytes and classical CD14++CD16- monocytes.

2015-03-17 | GSE66936 | GEO

SuperSAGE evidence for CD14++CD16+ monocytes as a third monocyte subset

Project description: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. Analysis of 5,487,603 tags revealed unique identifiers of CD14++CD16+ monocytes, delineating these cells from the two other monocyte subsets. CD14++CD16+ monocytes were linked to antigen processing and presentation (e.g. CD74, HLA-DR, IFI30, CTSB), to inflammation and monocyte activation (e.g. TGFB1, AIF1, PTPN6), and to angiogenesis (e.g. TIE2, CD105). Therefore we provide genetic evidence for a distinct role of CD14++CD16+ monocytes in human immunity. Human monocyte subsets (CD14++CD16-, CD14++CD16+, CD14+CD16++) were isolated from 12 healthy volunteers based on MACS technology. Total RNA from monocyte subsets was isolated and same aliquots from each donor and monocyte subset were matched for SuperSAGE. Three SuperSAGE libraries (CD14++CD16-, CD14++CD16+ and CD14+CD16++) were generated.

2011-07-24 | E-GEOD-30811 | biostudies-arrayexpress

Gene expression profiling of the classical (CD14++CD16-), intermediate (CD14++CD16+) and nonclassical (CD14+CD16+) human monocyte subsets

Project description: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. For the intermediate subset, majority of genes and surface markers were expressed at an intermediary level between the classical and nonclassical subset. There features therefore indicate a close and direct lineage relationship between the intermediate and nonclassical subset. From gene expression profiles, we define unique characteristics for each monocyte subset. Classical monocytes were functionally versatile, due to the expression of a wide range of sensing receptors and several members of the AP-1 transcription factor family. The intermediate subset was distinguished by high expression of MHC class II associated genes. The nonclassical subset were most highly differentiated and defined by genes involved in cytoskeleton rearrangement that explains their highly motile patrolling behavior in vivo. Additionally, we identify unique surface markers, CLEC4D, IL-13RA1 for classical, GFRA2, CLEC10A for intermediate and GPR44 for nonclassical. Our study hence defines the fundamental features of monocyte subsets necessary for future research on monocyte heterogeneity. Three human monocyte subsets, the CD14++CD16- classical, the CD14++CD16+ intermediate and CD14+CD16+ nonclassical subsets were purified using fluorescence activated cell sorting from peripheral blood mononuclear cells. RNA was processed from the three monocyte subsets from 4 individual donors in duplicates, giving a total of 24 samples.

2011-05-01 | E-GEOD-25913 | biostudies-arrayexpress

SuperSAGE evidence for CD14++CD16+ monocytes as a third monocyte subset

2011-07-24 | GSE30811 | GEO

Gene expression profiles of human blood classical monocytes (CD14++CD16-), CD16 positive monocytes (CD14+16++ and CD14++CD16+), and CD1c+ CD19- dendritic cells [human data]

Project description: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

2011-12-17 | GSE34515 | GEO

RNA sequencing of blood monocyte subsets in COVID patients

Project description:We report mRNA expression profiles of blood monocyte subsets in COVID patients with comparison to non-COVD samples. COVID patients were grouped into mild without hospitalization and ICU without ventilation. Monocytes were FACS sorted based on CD14 and CD16 expression, generating classical CD14+CD16- monocytes and CD16+CD14+/++ nonclassical monocytes. The mRNA expression comparison demonstrates a strong response to viral infection and suggests a defect in nonclassical monocytes maturation. It also provides several biomarkers for prognosis purposes, including CD55 and CD81.

2021-06-23 | GSE176290 | GEO

Expression data of bone marrow and blood monocytes from patients with rheumatoid arthritis (RA) and osteoarthritis (OA)

Project description:Rheumatoid arthritis (RA) accompanies infiltration and activation of monocytes in inflamed joints. In this study we investigated dominant alterations of RA monocytes in bone marrow (BM), blood and inflamed joints. CD14+ cells from BM and blood of RA and osteoarthritis (OA) patients were profiled with Affymetrix HG U133 Plus 2.0 Arrays. Detailed functional analysis was performed with reference transcriptomes of BM precursors, monocyte blood subsets, monocyte activation and mobilization. Cytometric profiling determined monocyte subsets of CD14++CD16-, CD14++CD16+ and CD14+CD16+ cells in BM, blood and synovial fluid (SF) and ELISAs quantified the release of activation markers into SF and serum. Investigation of genes differentially expressed between RA and OA monocytes by co-expression analysis with reference transcriptomes revealed gene patterns of early myeloid precursors in RA-BM and late myeloid precursors along with reduced terminal differentiation to CD14+CD16+ monocytes in RA blood. Patterns associated with TNF/LPS stimulation were weak and more pronounced in RA blood than BM. Cytometric phenotyping of cells in BM and blood disclosed differences related to monocyte subsets and confirmed the reduced frequency of terminally differentiated CD14+CD16+ monocytes in RA blood, as suggested by transcriptome data. Monocyte activation in SF was characterized by the predominance of CD14++CD16++CD163+HLA-DR+ cells and elevated concentrations of sCD14, sCD163 and S100P. Accelerated monocytopoiesis, BM egress and migration into inflamed joints characterise increased monocyte turnover in RA. Predominant activation in the joint suggests local and primary stimulants, which may promote also adaptive immune triggering through monocytes, thus indicating their importance for diagnostic and therapeutic strategies.

2017-07-05 | GSE100786 | GEO

MicroRNA expression profiling of human blood monocyte subsets highlights functional differences

Project description: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

2015-03-07 | E-GEOD-52986 | biostudies-arrayexpress

Transcription profiling of peripheral blood leukocyte subsets in autoimmune/autoinflammatory disease patients and healthy controls

Project description:Gene expression microarray profiling was performed on peripheral blood leukocyte subsets (CD4+ T cells, CD14+ monocytes, and CD16+ neutrophils) from healthy controls and patients with flaring autoimmune disease.

2014-08-31 | E-MTAB-2452 | biostudies-arrayexpress

OmicsDI is part of the ELIXIR infrastructure

OmicsDI is an Elixir interoperability service. Learn more ›

Tweets

OmicsDI Databases

PRIDE
PeptideAtlas
MassIVE
JPOST Repository
Physiome Model Repository

EGA
EVA
ENA
LINCS
PAXDB
Cell Collective

MetaboLights
Metabolomics Workbench
MetabolomeExpress
GNPS
BioModels
FAIRDOMHub

ArrayExpress
dbGaP
ExpressionAtlas
GEO
NODE

Information

Databases
Help
API
Contact us
Code on GitHub
Terms of use
Submit Data