CLEC4C gene expression can be used to quantify circulating plasmacytoid dendritic cells

Murray, L.; Yang, Xi; Upham, John W.

doi:10.1016/j.jim.2018.11.001

Cited by 10 publications

(7 citation statements)

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“…Hence, we compared pDC quantity and cytokine production by RV‐stimulated PBMC across the 75 control samples stratified by IFN‐α production and presence or absence of asthma. We have previously shown that the gene expression of C‐type lectin domain family 4 member C (CLEC4C) can be used to quantify circulating pDC in whole blood 26 . As expected, CLEC4C gene expression in whole blood was significantly lower in the IFN‐α‐low groups signifying lower quantities of the IFN‐α‐producing pDC (Figure 3; P ‐value < 0.001).…”

Section: Resultssupporting

confidence: 59%

“…We have previously shown that the gene expression of Ctype lectin domain family 4 member C (CLEC4C) can be used to quantify circulating pDC in whole blood. 26 As expected, CLEC4C gene expression in whole blood was significantly lower in the IFN-alow groups signifying lower quantities of the IFNa-producing pDC (Figure 3; P-value < 0.001).…”

Section: Gene Expression Signatures Of Ifn-a Producer Groups Are Not Determined By Bmisupporting

confidence: 72%

“…Conventional DC are essential for detecting invading pathogens and activating and directing the adaptive immune response, while pDC have a specialised role as potent IFN‐α producers 11,37 . The pDC‐associated gene CLEC4C regulates antigen presentation and type I IFN production, while its consistent expression profile enables its use for pDC quantification 26 . CLEC4C had higher expression in unstimulated samples in the IFN‐α‐high group than in the IFN‐α‐low group in whole blood samples and in the PBMC samples used for whole transcriptome analysis (Figures 3 and 5).…”

Section: Discussionmentioning

confidence: 99%

“… 11 , 37 The pDC‐associated gene CLEC4C regulates antigen presentation and type I IFN production, while its consistent expression profile enables its use for pDC quantification. 26 CLEC4C had higher expression in unstimulated samples in the IFN‐α‐high group than in the IFN‐α‐low group in whole blood samples and in the PBMC samples used for whole transcriptome analysis (Figures 3 and 5 ). This was confirmed in the validation study in which CLEC4C was the only DEG in unstimulated samples significantly associated with IFN‐α production (Figure 8a ).…”

Section: Discussionmentioning

confidence: 99%

“…Gene expression of the pDC marker CLEC4C 26 was quantified in whole blood for the main cohort using relative quantitative RT‐PCR as described. 25 …”

Section: Methodsmentioning

confidence: 99%

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Whole transcriptome analysis of high and low IFN‐α producers reveals differential response patterns following rhinovirus stimulation

et al. 2021

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Objectives Viral respiratory infections cause considerable morbidity and economic loss. While rhinoviruses (RV) typically cause little more than the common cold, they can produce severe infections and disease exacerbations in susceptible individuals, such as those with asthma. Variations in the regulation of key antiviral cytokines, particularly type I interferon (IFN‐α and IFN‐β), may contribute to RV susceptibility. To understand this variability, we compared the transcriptomes of high and low type I IFN producers. Methods Blood mononuclear cells from 238 individuals with or without asthma were cultured in the presence or absence of RV. Those samples demonstrating high or low RV‐stimulated IFN‐α production (N = 75) underwent RNA‐sequencing. Results Gene expression patterns were similar in samples from healthy participants and those with asthma. At baseline, the high IFN‐α producer group showed higher expression of genes associated with plasmacytoid dendritic cells, the innate immune response and vitamin D activation, but lower expression of oxidative stress pathways than the low IFN‐α producer group. After RV stimulation, the high IFN‐α producer group showed higher expression of genes found in immune response biological pathways and lower expression of genes linked to developmental and catabolic processes when compared to the low IFN‐α producer group. Conclusions These differences suggest that the high IFN‐α group has a higher level of immune system readiness, resulting in a more intense and perhaps more focussed pathogen‐specific immune response. These results contribute to a better understanding of the variability in type I IFN production between individuals.

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Section: Resultssupporting

confidence: 59%

Section: Gene Expression Signatures Of Ifn-a Producer Groups Are Not Determined By Bmisupporting

confidence: 72%

Section: Discussionmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

“…Gene expression of the pDC marker CLEC4C 26 was quantified in whole blood for the main cohort using relative quantitative RT‐PCR as described. 25 …”

Section: Methodsmentioning

confidence: 99%

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Whole transcriptome analysis of high and low IFN‐α producers reveals differential response patterns following rhinovirus stimulation

et al. 2021

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Modelling Asthma Patients’ Responsiveness to Treatment Using Feature Selection and Evolutionary Computation

Lopez-Rincon¹,

Roozendaal²,

Spierenburg³

et al. 2021

Applications of Evolutionary Computation

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HAL is a multi-disciplinary open access archive for the deposit and dissemination of scientific research documents, whether they are published or not. The documents may come from teaching and research institutions in France or abroad, or from public or private research centers. L'archive ouverte pluridisciplinaire HAL, est destinée au dépôt et à la diffusion de documents scientifiques de niveau recherche, publiés ou non, émanant des établissements d'enseignement et de

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Single-cell transcriptomics of blood reveals a natural killer cell subset depletion in tuberculosis

et al. 2020

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Background: Tuberculosis (TB) continues to be a critical global health problem, which killed millions of lives each year. Certain circulating cell subsets are thought to differentially modulate the host immune response towards Mycobacterium tuberculosis (Mtb) infection, but the nature and function of these subsets is unclear. Methods: Peripheral blood mononuclear cells (PBMC) were isolated from healthy controls (HC), latent tuberculosis infection (LTBI) and active tuberculosis (TB) and then subjected to single-cell RNA sequencing (scRNA-seq) using 10 £ Genomics platform. Unsupervised clustering of the cells based on the gene expression profiles using the Seurat package and passed to tSNE for clustering visualization. Flow cytometry was used to validate the subsets identified by scRNA-Seq. Findings: Cluster analysis based on differential gene expression revealed both known and novel markers for all main PBMC cell types and delineated 29 cell subsets. By comparing the scRNA-seq datasets from HC, LTBI and TB, we found that infection changes the frequency of immune-cell subsets in TB. Specifically, we observed gradual depletion of a natural killer (NK) cell subset (CD3-CD7+GZMB+) from HC, to LTBI and TB. We further verified that the depletion of CD3-CD7+GZMB+ subset in TB and found an increase in this subset frequency after anti-TB treatment. Finally, we confirmed that changes in this subset frequency can distinguish patients with TB from LTBI and HC. Interpretation: We propose that the frequency of CD3-CD7+GZMB+ in peripheral blood could be used as a novel biomarker for distinguishing TB from LTBI and HC.

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CLEC4C gene expression can be used to quantify circulating plasmacytoid dendritic cells

Cited by 10 publications

References 10 publications

Whole transcriptome analysis of high and low IFN‐α producers reveals differential response patterns following rhinovirus stimulation

Whole transcriptome analysis of high and low IFN‐α producers reveals differential response patterns following rhinovirus stimulation

Modelling Asthma Patients’ Responsiveness to Treatment Using Feature Selection and Evolutionary Computation

Single-cell transcriptomics of blood reveals a natural killer cell subset depletion in tuberculosis

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