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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.

Overview

Authors: Wenkui Li1,2,3, Jiahao Wei1, Changhong Tan1, Xi Liu1, Lifen Chen1
ORCID iDs: Wenkui Li
  1. Department of Neurology, The Second Affiliated Hospital of Chongqing Medical University, Laboratory Center of Chongqing Medical University, Chongqing, China
  2. Department of Neurology, Chongqing University Three Gorges Hospital, Chongqing, China
  3. School of Medicine, Chongqing University, Chongqing, China
Journal: Frontiers in neuroscience, volume 20, article 1862571
Dates: received 22 April 2026; accepted 16 June 2026; published online 2 July 2026
Type: Research article · Language: English
License: CC BY
Identifiers: DOI 10.3389/fnins.2026.1862571 · PMID 42465723 · PMCID PMC13373119 · OpenAlex W7167024859
Open access: gold, a free copy (OpenAlex)
Status: code on request
Categories: genetics / omics (modality), human (organism), mouse (organism), Parkinson's (population), cellular / molecular (subfield)
Methods: Preprocessing, Connectivity, Statistics, Smoothing, state filtering, decompositions, Machine learning, Spectral & time-frequency, fMRI & imaging
Keywords: candidate gene, neurovascular unit, NOTCH1, Parkinson’s disease, substantia nigra
Topic: Single-cell and spatial transcriptomics (Molecular Biology, Biochemistry, Genetics and Molecular Biology), according to OpenAlex
Citations: not cited yet (Europe PMC); 46 references in the paper

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.

Reproduced under the paper's license (CC BY), from the paper cited above.

Code

The paper says that its authors' code is available on request: it was not published with the paper, so there is nothing to verify.

The paper's code and data availability statement is in the Data section.

Tracing map

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Data

Datasets cited

Data availability statement

The datasets analyzed in this study are publicly available in the NCBI GEO repository. The human substantia nigra bulk transcriptomic datasets include GSE20141 (https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE20141), GSE26927 (https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE26927), GSE42966 (https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE42966), and GSE8397 (https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE8397). The single-cell RNA-seq dataset used for cell-type-resolved analysis was GSE243639 (https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE243639). The spatial transcriptomic dataset used for mouse 6-OHDA substantia nigra analysis was GSE232910 (https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE232910), and the analyzed substantia nigra sections included GSM7392318 (https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSM7392318)–GSM7392322 (https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSM7392322). All code and analysis scripts are available from the corresponding author upon reasonable request.

Reproduced under the paper's license (CC BY), from the paper cited above.

Versions

The history of this record: each version stored by the harvester or made by a correction of its authors or of the maintainers of its code, and what changed in its facts. The texts of the paper (its abstract, its availability statements) are not part of it; versions that changed only those are not listed.

Version 1, 27 September 2026: the first record

Recorded: type, language, journal, volume, pages, dates, 5 authors, 5 keywords, 46 references.

Cite

This paper

Li, W., Wei, J., Tan, C., Liu, X., & Chen, L. (2026). 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. Frontiers in neuroscience, 20, 1862571. https://doi.org/10.3389/fnins.2026.1862571

BibTeX

@article{li2026integrated,
author = {Li, Wenkui and Wei, Jiahao and Tan, Changhong and Liu, Xi and Chen, Lifen},
title = {{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}},
journal = {Frontiers in neuroscience},
year = {2026},
month = jul,
volume = {20},
pages = {1862571},
publisher = {Frontiers Media SA},
issn = {1662-4548},
doi = {10.3389/fnins.2026.1862571},
url = {https://doi.org/10.3389/fnins.2026.1862571},
pmid = {42465723},
pmcid = {PMC13373119}
}

RIS

TY - JOUR
AU - Li, Wenkui
AU - Wei, Jiahao
AU - Tan, Changhong
AU - Liu, Xi
AU - Chen, Lifen
TI - 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
T2 - Frontiers in neuroscience
J2 - Front Neurosci
PY - 2026
DA - 2026/07/02
VL - 20
SP - 1862571
SN - 1662-4548
PB - Frontiers Media SA
DO - 10.3389/fnins.2026.1862571
UR - https://doi.org/10.3389/fnins.2026.1862571
LA - en
ER -

CSL-JSON

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