Discover Community Create You

Loading publication...

Noodle always counts identifier-free feature events for service operation. With your permission, Google Analytics can also estimate audience and engagement. Search text, publication identifiers, cookies, IP addresses and browser fingerprints are never included in Noodle's first-party event counters.

Privacy details

Article

Integrative Multi‐Omics Analysis Reveals Convergent Epigenome and Transcriptome Changes in Parkinson's Disease

18 Aug 2026

Abstract excerpt

BACKGROUND: The mechanisms that predispose dopaminergic neurons (DAN) to degeneration in Parkinson's disease (PD) are incompletely understood. OBJECTIVE: To perform an integrative multi-omics reanalysis of single-cell transcriptomic and epigenomic data to identify convergent alterations predisposing dopaminergic neurons to degeneration in Parkinson's disease, and to generate new bulk ATAC-seq profiles from...

Read the complete abstract on PubMed

Topics

Share this publication in a Topic to start or enrich a Post.

Share to Bioinformatics and Genomic Networks
Share to Nuclear Receptors and Signaling
Share to Parkinson's Disease Mechanisms and Treatments

Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

Source

Identifiers

PMID: 42610474
DOI: 10.1002/mds.70505

Provenance

PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 8 Sept 2026.

Related research

Semantic proximity does not establish scientific evidence.

Research trail→

Click a neighbor to travelStep 1 · 12 closest

Integrative Multi‐Omics Analysis Reveals Convergent Epigenome and Transcriptome Changes in Parkinson's DiseasePMID 42610474Read ↗

Transcriptional pathobiology and multi-omics predictors for Parkinson’s diseaseSemantic proximity Read ↗

A Transcriptomic Roadmap of Parkinson’s Disease Progression at Single Cell ResolutionSemantic proximity Read ↗

Multi-omics integration of scRNA-seq time series data predicts new intervention points for Parkinson’s diseaseSemantic proximity Read ↗

Multi-omics integration of scRNA-seq time series data predicts new intervention points for Parkinson's disease.Semantic proximity Read ↗

Integrating dorsolateral prefrontal cortex multi-omics and GWAS summary data reveals genetic etiology of Parkinson’s diseaseSemantic proximity Read ↗

Integrating dorsolateral prefrontal cortex multi-omics and GWAS summary data reveals genetic etiology of Parkinson’s diseaseSemantic proximity Read ↗

Unraveling the Genetic Overlap Between Parkinson’s Disease and Schizophrenia Through Genome-wide Association and Cell-Type Specific Transcriptomic AnalysisSemantic proximity Read ↗

The Foundational data initiative for Parkinson’s disease (FOUNDIN-PD): enabling efficient translation from genetic maps to mechanismSemantic proximity Read ↗

From Genomics to Omics Landscapes of Parkinson's Disease: Revealing the Molecular MechanismsSemantic proximity Read ↗

Single-nucleus multi-omics of Parkinson’s disease reveals a glutamatergic neuronal subtype susceptible to gene dysregulation via alteration of transcriptional networksSemantic proximity Read ↗

Multi-omics analysis reveals the genetic aging landscape of Parkinson's disease.Semantic proximity Read ↗

Characterization of altered molecular mechanisms in Parkinson’s disease through cell type-resolved multi-omics analysesSemantic proximity Read ↗

⌁Select a neighboring publication to make it the new centre.