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Time-resolved RNA signatures of CD4+ T cells in Parkinson's disease [mRNAarray]

ABSTRACT: Time-resolved RNA signatures of CD4+ T cells in Parkinson's disease [mRNAarray]

PROVIDER: PRJNA836906 | ENA |

REPOSITORIES: ENA

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Time-resolved RNA signatures of CD4+ T cells in Parkinson's disease

Project description:Time-resolved RNA signatures of CD4+ T cells in Parkinson's disease

| PRJNA836899 | ENA

Time-resolved RNA signatures of CD4+ T cells in Parkinson's disease [microRNAarray]

Project description:Time-resolved RNA signatures of CD4+ T cells in Parkinson's disease [microRNAarray]

| PRJNA836907 | ENA

Time-resolved RNA signatures of CD4+ T cells in Parkinson's disease [microRNAarray]

Project description:We employed time-resolved microRNA expression analyses upon the activation of peripheral CD4+ T cells to track and functionally relate changes on cellular signaling in patients at different stages of PD

2023-01-23 | GSE202666 | GEO

Time-resolved RNA signatures of CD4+ T cells in Parkinson's disease [mRNAarray]

Project description:We employed time-resolved RNA expression analyses upon the activation of peripheral CD4+ T cells to track and functionally relate changes on cellular signaling in patients at different stages of PD

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Time-resolved RNA signatures of CD4+ T cells in Parkinson's disease.

Project description:Parkinson's disease (PD) emerges as a complex, multifactorial disease. While there is increasing evidence that dysregulated T cells play a central role in PD pathogenesis, elucidation of the pathomechanical changes in related signaling is still in its beginnings. We employed time-resolved RNA expression upon the activation of peripheral CD4+ T cells to track and functionally relate changes on cellular signaling in representative cases of patients at different stages of PD. While only few miRNAs showed time-course related expression changes in PD, we identified groups of genes with significantly altered expression for each different time window. Towards a further understanding of the functional consequences, we highlighted pathways with decreased or increased activity in PD, including the most prominent altered IL-17 pathway. Flow cytometric analyses showed not only an increased prevalence of Th17 cells but also a specific subtype of IL-17 producing γδ-T cells, indicating a previously unknown role in PD pathogenesis.

| S-EPMC9867723 | biostudies-literature

Time-resolved RNA signatures of CD4+ T cells in Parkinson's disease

Project description:This SuperSeries is composed of the SubSeries listed below.

2023-01-23 | GSE202667 | GEO

Time-resolved RNA atlas of early human T cell activation (mRNA)

Project description:MicroRNAs are central regulators of the T cell function. We explored RNA expression profiles over the initial 24 h of human CD4+ T cell activation. We found high similarity in time-resolved miRNA expression courses comparing independent activations and different donors. The detected miRNA expression patterns could be grouped into six classes only, each with a defined time course. MiR-155-5p known for its role in T cell immunity showed the most prevalent expression changes, quantified with an hourly increase of about 60 molecules/cell. As demonstrated for miRNA-155-5p, the analysis of time-resolved miRNA and mRNA expression data allowed to increase the validation rate of predicted miRNA targets to close to 90 %. Combining our time-resolved expression analysis with an absolute quantification of miRNA expression changes, gives new insights into miRNA regulatory networks and indicates the functional dominance of specific miRNAs within the early T cell activation.

2020-09-04 | GSE136625 | GEO

Time-resolved RNA atlas of early human T cell activation (miRNA)

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A time-resolved transcriptome atlas of maize grain development

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Time-resolved assessment of single-cell protein secretion by sequencing

Project description:Secreted proteins play critical roles in cellular communication. Methods enabling concurrent measurement of cellular protein secretion, phenotypes and transcriptomes are still unavailable. Here, we describe Time-Resolved Assessment of Protein Secretion from single cells by sequencing (TRAPS-seq). Released proteins are trapped onto cell surface and probed by oligonucleotide-barcoded antibodies before simultaneously sequenced with transcriptomes in single cells. TRAPS-seq unravels the phenotypic and transcriptional determinants of the secretion of pleiotropic Th1 cytokines (IFN-γ, IL-2 and TNF-α) in activated T cells. We further demonstrate the use of TRAPS-seq to track dynamic secretion of multiple cytokines over time, uncovering unique molecular signatures that govern the preservation or transition of single-cell cytokine secretions. Our results revealed that early central memory T cells with CD45RA expression (TCMRA) are important in both the production and maintenance of polyfunctional cytokines. TRAPS-seq presents a unique tool for seamless integration of secretomics measurement with multi-omics profiling in single cells.

2023-01-11 | GSE200690 | GEO

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