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A novel method for characterizing cell-cell interactions at single-cell resolution reveals unique immune signatures in blood T cell-monocyte complexes during infection (ATB scTCR-Seq)

ABSTRACT: A novel method for characterizing cell-cell interactions at single-cell resolution reveals unique immune signatures in blood T cell-monocyte complexes during infection (ATB scTCR-Seq)

PROVIDER: PRJNA1139797 | ENA |

REPOSITORIES: ENA

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A novel method for characterizing cell-cell interactions at single-cell resolution reveals unique immune signatures in blood T cell-monocyte complexes during infection (Dengue scTCR-Seq)

Project description:A novel method for characterizing cell-cell interactions at single-cell resolution reveals unique immune signatures in blood T cell-monocyte complexes during infection (Dengue scTCR-Seq)

| PRJNA1139795 | ENA

A novel method for characterizing cell-cell interactions at single-cell resolution reveals unique immune signatures in blood T cell-monocyte complexes during infection (Dengue scTCR-Seq)

Project description:We designed a novel method to study the transcriptome of single cells forming complexes in a high-throughput fashion, without the need for bioinformatic deconvolution. We applied this method to the study of T cells and monocytes forming complexes in blood isolated from individuals with dengue fever, with blood collected at the acute and convalescent phase of infection. We found that the transcriptomic signatures of T cells and monocytes forming complexes significantly overlapped with those identified in T cell-monocyte complexes in active tuberculosis, with upregulation of genes associated with T cell activation, cytotoxicity, cell adhesion and MHC-II. Thus, using our novel method, we identified that T cells and monocyte forming complexes in blood hold unique immune signatures distinct from singlets, and that they may be a previously overlooked valuable biomarker to monitor immune synaptic interactions during infection.

2024-11-06 | GSE273018 | GEO

A novel method for characterizing cell-cell interactions at single-cell resolution reveals unique immune signatures in blood T cell-monocyte complexes during infection (ATB scRNA-Seq)

| PRJNA1139794 | ENA

A novel method for characterizing cell-cell interactions at single-cell resolution reveals unique immune signatures in blood T cell-monocyte complexes during infection (ATB scTCR-Seq)

Project description:We designed a novel method to study the transcriptome of single cells forming complexes in a high-throughput fashion, without the need for bioinformatic deconvolution. We applied this method to the study of T cells and monocytes forming complexes in blood isolated from individuals with active tuberculosis, with blood collected at diagnosis and after treatment. We found that the transcriptomic signature of T cells and monocytes forming complexes was associated with TCR/MHC-II immune synaptic features, enrichment for cytotoxic clonally expanded T cells and intermediate monocytes, and - especially at diagnosis - transcriptomic signatures indicating increased immune and metabolic activity. We also found a striking enrichment of “dual-expressing” cells (i.e., co-expressing T cells and monocyte marker genes) in complexes, suggesting RNA exchange occur during T cell-monocyte interactions. Thus, using our novel method, we identified that T cells and monocyte forming complexes in blood hold unique immune signatures distinct from singlets, and that they may be a previously overlooked valuable biomarker to monitor immune synaptic interactions during infection.

2024-11-06 | GSE273016 | GEO

A novel method for characterizing cell-cell interactions at single-cell resolution reveals unique signatures in blood T cell-monocyte complexes during infection

Project description:A novel method for characterizing cell-cell interactions at single-cell resolution reveals unique signatures in blood T cell-monocyte complexes during infection

| PRJNA1139790 | ENA

A novel method for characterizing cell-cell interactions at single-cell resolution reveals unique immune signatures in blood T cell-monocyte complexes during infection (Dengue scRNA-Seq)

2024-11-06 | GSE273017 | GEO

A novel method for characterizing cell-cell interactions at single-cell resolution reveals unique immune signatures in blood T cell-monocyte complexes during infection (Dengue scRNA-Seq)

| PRJNA1139796 | ENA

A novel method for characterizing cell-cell interactions at single-cell resolution reveals unique immune signatures in blood T cell-monocyte complexes during infection (ATB scRNA-Seq)

Project description:We designed a novel method to study the transcriptome of single cells forming complexes in a high-throughput fashion, without the need for bioinformatic deconvolution. We applied this method to the study of T cells and monocytes forming complexes in blood isolated from individuals with active tuberculosis, with blood collected at diagnosis and after treatment. We found that the transcriptomic signature of T cells and monocytes forming complexes was associated with TCR/MHC-II immune synaptic features, enrichment for cytotoxic clonally expanded T cells and intermediate monocytes, and - especially at diagnosis - transcriptomic signatures indicating increased immune and metabolic activity. We also found a striking enrichment of “dual-expressing” cells (i.e., co-expressing T cells and monocyte marker genes) in complexes, suggesting RNA exchange occur during T cell-monocyte interactions. Thus, using our novel method, we identified that T cells and monocyte forming complexes in blood hold unique immune signatures distinct from singlets, and that they may be a previously overlooked valuable biomarker to monitor immune synaptic interactions during infection.

2024-11-06 | GSE273015 | GEO

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Project description:Characterizing phenotypically distinct T cell populations

| PRJNA648405 | ENA

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Project description:Chronic viral infection results in CD8 T cell exhaustion. Here, we use paired single-cell RNA sequencing (scRNA-seq) and single-cell T cell receptor sequencing (scTCR-seq) to investigate CD8 T cell phenotypic and clonal heterogeneity in multiple mice during the late stage of LCMV Clone 13 infection.

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