Browse
Submit Data
Databases
API
Help

Dataset Information

0 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

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)

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 (Dengue scTCR-Seq)

PROVIDER: PRJNA1139795 | ENA |

REPOSITORIES: ENA

ACCESS DATA

Json Xml

Similar Datasets

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 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 (ATB scTCR-Seq)

| PRJNA1139797 | 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

Ribosome profiling analysis of Dengue Virus

Project description:Dengue virus is an + strand RNA virus. We have carried our infections of human cells with Dengue and analyzed the translation, replication, and localization of the Dengue RNA. This allowed for clear definition of the life cycle of the Dengue virus inside a host cell. We also assessed the host response to Dengue virus, finding that a large fraction of the translational response is due to Interferon function. Translational and transcriptional analysis of the cellular response to Dengue virus infection

2016-09-01 | E-GEOD-69602 | biostudies-arrayexpress

Ribosome profiling analysis of Dengue Virus

2016-09-01 | GSE69602 | GEO

Nicaragua Dengue Natural Infection

Project description:These 40 microarray datasets represent whole blood samples from 31 primary dengue infection patients and 9 healthy volunteers from Managua, Nicaragua. The dengue infection patients include both primary dengue fever (DF) and primary dengue hemorrhagic fever (DHF) cases.

2018-07-31 | GSE96656 | GEO

Characterizing phenotypically distinct T cell populations

Project description:Characterizing phenotypically distinct T cell populations

| PRJNA648405 | 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

DENGUE STP

Project description:Dengue genomes

| PRJEB65577 | ENA