Please use this identifier to cite or link to this item: doi:10.22028/D291-40808
Volltext verfügbar? / Dokumentlieferung
Title: RNA sequencing of whole blood reveals early alterations in immune cells and gene expression in Parkinson's disease
Author(s): Craig, David W.
Hutchins, Elizabeth
Violich, Ivo
Alsop, Eric
Gibbs, J. Raphael
Levy, Shawn
Robison, Madison
Prasad, Nripesh
Foroud, Tatiana
Crawford, Karen L.
Toga, Arthur W.
Whitsett, Timothy G.
Kim, Seungchan
Casey, Bradford
Reimer, Alyssa
Hutten, Samantha J.
Frasier, Mark
Kern, Fabian
Fehlman, Tobias
Keller, Andreas
Cookson, Mark R.
Van Keuren-Jensen, Kendall
Language: English
Title: Nature Aging
Volume: 1
Issue: 8
Pages: 734-747
Publisher/Platform: Springer Nature
Year of Publication: 2021
Free key words: Parkinson's disease
Transcriptomics
DDC notations: 610 Medicine and health
Publikation type: Journal Article
Abstract: Changes in the blood-based RNA transcriptome have the potential to inform biomarkers of Parkinson’s disease (PD) progression. Here we sequenced a discovery set of whole-blood RNA species in 4,871 longitudinally collected samples from 1,570 clinically phenotyped individuals from the Parkinson’s Progression Marker Initiative (PPMI) cohort. Samples were sequenced to an average of 100 million read pairs to create a high-quality transcriptome. Participants with PD in the PPMI had significantly altered RNA expression (>2,000 differentially expressed genes), including an early and persistent increase in neutrophil gene expression, with a concomitant decrease in lymphocyte cell counts. This was validated in a cohort from the Parkinson’s Disease Biomarkers Program (PDBP) consisting of 1,599 participants and by alterations in immune cell subtypes. This publicly available transcriptomic dataset, coupled with available detailed clinical data, provides new insights into PD biological processes impacting whole blood and new paths for developing diagnostic and prognostic PD biomarkers.
DOI of the first publication: 10.1038/s43587-021-00088-6
URL of the first publication: https://doi.org/10.1038/s43587-021-00088-6
Link to this record: urn:nbn:de:bsz:291--ds-408089
hdl:20.500.11880/36671
http://dx.doi.org/10.22028/D291-40808
ISSN: 2662-8465
Date of registration: 24-Oct-2023
Description of the related object: Supplementary information
Related object: https://static-content.springer.com/esm/art%3A10.1038%2Fs43587-021-00088-6/MediaObjects/43587_2021_88_MOESM1_ESM.pdf
https://static-content.springer.com/esm/art%3A10.1038%2Fs43587-021-00088-6/MediaObjects/43587_2021_88_MOESM2_ESM.pdf
https://static-content.springer.com/esm/art%3A10.1038%2Fs43587-021-00088-6/MediaObjects/43587_2021_88_MOESM3_ESM.xlsx
Faculty: M - Medizinische Fakultät
Department: M - Medizinische Biometrie, Epidemiologie und medizinische Informatik
Professorship: M - Univ.-Prof. Dr. Andreas Keller
Collections:SciDok - Der Wissenschaftsserver der Universität des Saarlandes

Files for this record:
There are no files associated with this item.


Items in SciDok are protected by copyright, with all rights reserved, unless otherwise indicated.