A multi-region single nucleus transcriptomic atlas of Parkinson’s disease

Parkinson's Disease (PD) is a debilitating neurodegenerative disorder, characterized by motor and cognitive impairments, that affects >1% of the population over the age of 60. The pathogenesis of PD is complex and remains largely unknown. Due to the cellular heterogeneity of the human brain and changes in cell type composition with disease progression, this complexity cannot be fully captured with bulk tissue studies. To address this, we generated single-nucleus RNA sequencing and whole-genome sequencing data from 100 postmortem cases and controls, carefully selected to represent the entire spectrum of PD neuropathological severity and diverse clinical symptoms. The single nucleus data were generated from five brain regions, capturing the subcortical and cortical spread of PD pathology. Rigorous preprocessing and quality control were applied to ensure data reliability. Committed to collaborative research and open science, this dataset is available on the AMP PD Knowledge Platform, offering researchers a valuable tool to explore the molecular bases of PD and accelerate advances in understanding and treating the disease.

Authors

Institutions

Publication Details

Journal
Scientific Data
Published
2024-11-23
DOI
https://doi.org/10.1038/s41597-024-04117-y
Citations
11
Primary Topic
RNA regulation and disease
Type
article
Field-Weighted Citation Impact
2.57

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

A multi-region single nucleus transcriptomic atlas of Parkinson’s disease

N. M. Prashant, Ayled Barreda, Sabina Berretta, John F. Fullard et al.
11 citations
Scientific Data
RNA regulation and disease
2.57
article

A multi-region single nucleus transcriptomic atlas of Parkinson’s disease

N. M. Prashant, Ayled Barreda, Sabina Berretta, John F. Fullard, Tereza Clarence, Deepika Mathur, Marcela Alvia, Georgios Voloudakis, Jeffery M. Vance, Michael Chatigny, Jaroslav M. Bendl, Vahram H. Haroutunian, Clara Casey, David Vismer, David Burstein, Regina Vontell, Panos Roussos, Barry Landin, Susanna P. Garamszegi, David A. Davis, William K. Scott, Donghoon Lee, Lorelle A. Sang, Evelyn Hennigan, Joana Krause-Massaguer
article en
11 citations

Abstract

Parkinson's Disease (PD) is a debilitating neurodegenerative disorder, characterized by motor and cognitive impairments, that affects >1% of the population over the age of 60. The pathogenesis of PD is complex and remains largely unknown. Due to the cellular heterogeneity of the human brain and changes in cell type composition with disease progression, this complexity cannot be fully captured with bulk tissue studies. To address this, we generated single-nucleus RNA sequencing and whole-genome sequencing data from 100 postmortem cases and controls, carefully selected to represent the entire spectrum of PD neuropathological severity and diverse clinical symptoms. The single nucleus data were generated from five brain regions, capturing the subcortical and cortical spread of PD pathology. Rigorous preprocessing and quality control were applied to ensure data reliability. Committed to collaborative research and open science, this dataset is available on the AMP PD Knowledge Platform, offering researchers a valuable tool to explore the molecular bases of PD and accelerate advances in understanding and treating the disease.

Scientific DataVol. 11(1)
Broad Institute (US), Allen Institute for Brain Science (US), Harvard University (US), University of Miami (US), McLean Hospital (US), James J. Peters VA Medical Center (US), Translational Therapeutics (United States) (US), Dr. John T. Macdonald Foundation (US), Icahn School of Medicine at Mount Sinai (US)
Bristol-Myers Squibb, Pfizer, GlaxoSmithKline, Sanofi, Celgene, University of Miami, Georgia Clinical and Translational Science Alliance, Verily Life Sciences, National Institutes of Health, National Institute of Neurological Disorders and Stroke, National Center for Advancing Translational Sciences
Partnerships for the goals
Openalex Percentile: Top 10%
RNA regulation and disease
2.57
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.