Please use this identifier to cite or link to this item: doi:10.22028/D291-39428
Title: Time-resolved RNA signatures of CD4+ T cells in Parkinson's disease
Author(s): Diener, Caroline
Hart, Martin
Kehl, Tim
Becker-Dorison, Anouck
Tänzer, Tanja
Schub, David
Krammes, Lena
Sester, Martina
Keller, Andreas
Unger, Marcus
Walch-Rückheim, Barbara
Lenhof, Hans-Peter
Meese, Eckart
Language: English
Title: Cell Death Discovery
Volume: 9
Issue: 1
Publisher/Platform: Springer Nature
Year of Publication: 2023
Free key words: Immunology
Mechanisms of disease
Parkinson's disease
DDC notations: 610 Medicine and health
Publikation type: Journal Article
Abstract: 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.
DOI of the first publication: 10.1038/s41420-023-01333-0
URL of the first publication: https://www.nature.com/articles/s41420-023-01333-0
Link to this record: urn:nbn:de:bsz:291--ds-394287
hdl:20.500.11880/35545
http://dx.doi.org/10.22028/D291-39428
ISSN: 2058-7716
Date of registration: 31-Mar-2023
Description of the related object: Supplementary information
Related object: https://static-content.springer.com/esm/art%3A10.1038%2Fs41420-023-01333-0/MediaObjects/41420_2023_1333_MOESM1_ESM.pdf
Faculty: M - Medizinische Fakultät
MI - Fakultät für Mathematik und Informatik
Department: M - Humangenetik
M - Infektionsmedizin
M - Medizinische Biometrie, Epidemiologie und medizinische Informatik
M - Neurologie und Psychiatrie
MI - Informatik
Professorship: M - Prof. Dr. Klaus Faßbender
M - Univ.-Prof. Dr. Andreas Keller
M - Prof. Dr. Eckhart Meese
M - Prof. Dr. Martina Sester
MI - Prof. Dr. Hans-Peter Lenhof
Collections:SciDok - Der Wissenschaftsserver der Universität des Saarlandes

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