Reference : Deep sequencing of sncRNAs reveals hallmarks and regulatory modules of the transcript...
Scientific journals : Article
Life sciences : Biochemistry, biophysics & molecular biology
Systems Biomedicine
http://hdl.handle.net/10993/49769
Deep sequencing of sncRNAs reveals hallmarks and regulatory modules of the transcriptome during Parkinson’s disease progression
English
Krüger, Rejko mailto [University of Luxembourg > Luxembourg Centre for Systems Biomedicine (LCSB) > Translational Neuroscience >]
Kern, Fabian [Saarland University]
Fehlmann, Tobias [Saarland University]
Violich, Ivo [University of Southern California]
Hutchins, Elizabeth [Neurogenomics Division, Translational Genomics Research Institute]
Alsop, Eric [Neurogenomics Division, Translational Genomics Research Institute]
Kahraman, Mustafa [Saarland University]
Grammes, Nadja [Saarland University]
Balling, Rudolf [University of Luxembourg > Luxembourg Centre for Systems Biomedicine (LCSB) > >]
Geffers, Lars [University of Luxembourg > Luxembourg Centre for Systems Biomedicine (LCSB) > >]
Keller, Andreas [Saarland University]
15-Mar-2021
Nature Aging
springer
Yes
International
2662-8465
[en] Parkinson's disease ; RNAs ; PPMI
[en] Noncoding RNAs have diagnostic and prognostic importance in Parkinson’s disease (PD). We studied circulating small non coding RNAs (sncRNAs) in two large-scale longitudinal PD cohorts (Parkinson’s Progression Markers Initiative (PPMI) and Luxembourg Parkinson’s Study (NCER-PD)) and modeled their impact on the transcriptome. Sequencing of sncRNAs in 5,450 blood samples of 1,614 individuals in PPMI yielded 323 billion reads, most of which mapped to microRNAs but covered also other RNA classes such as piwi-interacting RNAs, ribosomal RNAs and small nucleolar RNAs. Dysregulated microRNAs associated with disease and disease progression occur in two distinct waves in the third and seventh decade of life. Originating predominantly from immune cells, they resemble a systemic inflammation response and mitochondrial dysfunction, two hall marks of PD. Profiling 1,553 samples from 1,024 individuals in the NCER-PD cohort validated biomarkers and main findings by an independent technology. Finally, network analysis of sncRNA and transcriptome sequencing from PPMI identified regulatory modules emerging in patients with progressing PD
Researchers ; Professionals
http://hdl.handle.net/10993/49769
10.1038/s43587-021-00042-6
https://www.nature.com/articles/s43587-021-00042-6
FnR ; FNR11264123 > Rejko Krüger > NCER-PD > Ncer-pd > 01/01/2015 > 30/11/2020 > 2015

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