Evidence map›Paper›PMID 42465723›Full record

ArticleFrontiers in neuroscience2026

Integrated bulk, single-cell, and spatial transcriptomic analyses prioritize NOTCH1 as a candidate gene associated with neurovascular and immune-related alterations in Parkinson's disease.

Wenkui Li, Jiahao Wei, Changhong Tan, Xi Liu, Lifen Chen

Abstract read
In one paragraph

Article in Frontiers in neuroscience, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

5 authors.

Wenkui LiDepartment of Neurology, The Second Affiliated Hospital of Chongqing Medical University, Laboratory Center of Chongqing Medical University, Chongqing, China.
Jiahao WeiDepartment of Neurology, The Second Affiliated Hospital of Chongqing Medical University, Laboratory Center of Chongqing Medical University, Chongqing, China.
Changhong TanDepartment of Neurology, The Second Affiliated Hospital of Chongqing Medical University, Laboratory Center of Chongqing Medical University, Chongqing, China.
Xi LiuDepartment of Neurology, The Second Affiliated Hospital of Chongqing Medical University, Laboratory Center of Chongqing Medical University, Chongqing, China.
Lifen ChenDepartment of Neurology, The Second Affiliated Hospital of Chongqing Medical University, Laboratory Center of Chongqing Medical University, Chongqing, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Parkinson's disease (PD) is classically defined by dopaminergic neurodegeneration in the substantia nigra, yet how immune activation is linked to neurovascular dysfunction in the diseased brain remains incompletely understood. Methods: Here, we integrated bulk substantia nigra microarray expression datasets with single-cell and spatial transcriptomic data to delineate disease-associated neurovascular and immune-related transcriptomic programs in PD. Results: Across three independent human microarray cohorts, differential expression and weighted gene co-expression network analyses identified PD-associated genes enriched for synaptic processes together with immune, adhesion, and vascular-related pathways. Network topology analysis and machine-learning feature selection prioritized a five-gene candidate panel, among which NOTCH1 showed the most consistent cross-dataset association and external directional support. Importantly, quantitative real-time PCR (qRT-PCR) validation in the substantia nigra of 1-methyl-4-phenyl-1,2,3,6-tetrahydropyridine (MPTP)-induced PD model mice further supported dysregulated Notch1 expression. Single-cell mapping placed NOTCH1 expression within neurovascular and glial cellular contexts, including pericytes and endothelial cells, while CellChat and NicheNet analyses nominated transcriptome-derived ligand-receptor relationships involving NOTCH-related, vascular, inflammatory, extracellular-matrix, and growth-factor-associated programs. Spatial transcriptomics from mouse 6-hydroxydopamine (6-OHDA) substantia nigra sections provided model-based anatomical context for spatial proximity between pericyte and microglial signatures, without establishing direct functional communication. In parallel, exploratory in silico perturbation and docking-based screening generated hypotheses regarding the NOTCH1-associated regulatory context and compounds with predicted docking affinity toward NOTCH1. Discussion: Collectively, these analyses prioritize NOTCH1 as a reproducible PD-associated candidate gene and suggest that NOTCH1-related signals may be embedded within broader neurovascular, glial, inflammatory, extracellular-matrix, and immune-associated transcriptomic alterations. These findings provide a computational prioritization framework for future experimental validation rather than evidence of a defined NOTCH-driven mechanism.

Indexed as

candidate geneneurovascular unitNOTCH1Parkinson’s diseasesubstantia nigra

Identifiers

PMID42465723
PMCPMC13373119

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