Identification of microglia-associated hub genes and a CX3CR1/P2RY12 two-gene diagnostic model for cross-subtype epilepsy-associated cortical malformations: integrated transcriptomic analysis with external validation
Overview
- Ganzhou Hospital-Nanfang Hospital, Southern Medical University (Ganzhou People’s Hospital), Ganzhou, China
Abstract
Focal cortical dysplasia (FCD) and tuberous sclerosis complex (TSC) are major causes of drug-resistant epilepsy, yet shared molecular mechanisms across these structurally distinct malformations remain poorly characterized. We performed an integrated transcriptomic analysis of RNA-seq data from GSE256068 [85 samples: 64 cortical (FCD2a, FCD2b, TSC, controls) and 21 hippocampal (TLE-HS, controls)]. Differential expression analysis with limma identified 865, 1,915, 2,772, and 3,749 DEGs in FCD2a, FCD2b, TSC, and TLE-HS versus controls, respectively, with 49 shared DEGs across all four subtypes. Weighted gene co-expression network analysis (WGCNA) identified the brown and red modules as key disease-associated modules. By intersecting WGCNA hub genes (|
Reproduced under the paper's license (CC BY), from the paper cited above.
Code
The paper links to its data and to no code of its authors: see the Data section.
Tracing map
A tracing map links a paper to the code its authors published: this paper has none, so it has no map.
Data
Datasets cited
- geo:GSE256068, at NCBI GEO; found in “Data availability statement”
Other data links
- ncbi.nlm.nih.gov/
geo , NCBI; found in the text
Data availability statement
The data are publicly available in the GEO repository under accession numbers GSE213488 (https://
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, 24 October 2026: the first record
Recorded: type, language, journal, volume, pages, dates, 2 authors, 8 keywords, 28 references.
Cite
This paper
Zeng, H., & Li, B. (2026). Identification of microglia-associated hub genes and a CX3CR1/
BibTeX
@article{zeng2026identif
author = {Zeng, Hongliang and Li, Bin},
title = {{Identification of microglia-associated hub genes and a CX3CR1/
journal = {Frontiers in neuroscience},
year = {2026},
month = oct,
volume = {20},
pages = {1954412},
publisher = {Frontiers Media SA},
issn = {1662-4548},
pmcid = {PMC13687088}
}
RIS
TY - JOUR
AU - Zeng, Hongliang
AU - Li, Bin
TI - Identification of microglia-associated hub genes and a CX3CR1/
T2 - Frontiers in neuroscience
J2 - Front Neurosci
PY - 2026
DA - 2026/
VL - 20
SP - 1954412
SN - 1662-4548
PB - Frontiers Media SA
LA - en
ER -
CSL-JSON
{
"id": "pmcid:PMC13687088",
"type": "article-journal",
"title": "Identification of microglia-associated hub genes and a CX3CR1/
"container-title": "Frontiers in neuroscience",
"author": [
{
"family": "Zeng",
"given": "Hongliang"
},
{
"family": "Li",
"given": "Bin"
}
],
"container-title-short":
"volume": "20",
"page": "1954412",
"PMCID": "PMC13687088",
"ISSN": "1662-4548",
"publisher": "Frontiers Media SA",
"language": "en",
"issued": {
"date-parts": [
[
2026,
10,
24
]
]
}
}
Similar papers
The papers with a page that share the most with this one: the tools found in their code, their categories, datasets, cited references and authors, the rarest counting most.
- [1] doi:10.1038/s41467-024-46592-2 [code]
- Identification of gene regulatory networks affected across drug-resistant epilepsies.Journal: Nature communicationsIn common: NCBI GEO GSE256068, epilepsy, 2 references
- [2] doi:10.1038/s41598-025-30401-x [code]
- Explainable machine learning identifies immune-inflammatory biomarkers and therapeutic candidates in drug-resistant epilepsy.Journal: Scientific reportsIn common: NCBI GEO GSE256068, epilepsy, genetics / omics, 1 reference
- [3] doi:10.1002/epi.70161
- Decoding epilepsy's molecular blueprint: Machine learning unravels transcriptomic subtypes and regulatory networks.Journal: EpilepsiaIn common: NCBI GEO GSE256068, epilepsy, genetics / omics, 1 reference
- [4] doi:10.4103/1673-5374.375343
- Spi1 regulates the microglial/
macrophage inflammatory response via the PI3K/ AKT/ mTOR signaling pathway after intracerebral hemorrhage. Journal: Neural regeneration researchIn common: genetics / omics, 6 references - [5] doi:10.3389/fneur.2024.1503632
- Identification and verification of autophagy-related gene signatures and their association with immune infiltration and drug responsiveness in epilepsy.Journal: Frontiers in neurologyIn common: NCBI GEO GSE256068, epilepsy, 1 reference
- [6] doi:10.3389/fgene.2025.1690947
- Multi-omics identification and validation of oxidative phosphorylation-related hub genes in schizophrenia.Journal: Frontiers in geneticsIn common: genetics / omics, 6 references
- [7] doi:10.3389/fnins.2026.1889410
- Amino acid- and lipid-related metabolic remodeling in PTZ-kindled mice reveals candidate plasma signatures of chronic epilepsy.Journal: Frontiers in neuroscienceIn common: NCBI GEO GSE256068, epilepsy, genetics / omics
- [8] doi:10.3389/fimmu.2026.1727784
- CPEB1 drives ferroptosis-neuroinflamm
ation crosstalk in temporal lobe epilepsy via the SIRT1-NRF2 acetylation axis. Journal: Frontiers in immunologyIn common: NCBI GEO GSE256068, epilepsy, genetics / omics - [9] doi:10.3389/fnins.2026.1913179
- Decoding astrocytic tryptophan metabolism in the pathogenesis of epilepsy: evidence from artificial intelligence-driven multi-omics and clinical validation.Journal: Frontiers in neuroscienceIn common: epilepsy, genetics / omics, 5 references
- [10] doi:10.2147/jir.s540483 [code]
- Maresin 1 Alleviates Seizure Symptoms by Modulating the Crosstalk Between Inflammation and Ferroptosis.Journal: Journal of inflammation researchIn common: NCBI GEO GSE256068, epilepsy
Contribute
The authors of this paper can claim it, correct its record and validate its tracing map, and the maintainers of its code (its owner, or a public member of its organization) correct what it says of their repository; anyone signed in can ask for its removal. Every request goes to OSCR's own machine, which answers it; your account page follows them.
Sign in with ORCID to claim this paper as one of its authors, correct its record or validate its tracing map: when the paper's metadata lists your ORCID iD, you are recognized at once. Maintainers of its code: sign in with GitHub, then claim the repository on your account page.
Claim this paper
Correct its record
Say what each link of this record is, remove the ones that are not the paper's, add the ones that are missing. The correction becomes a new version of the record, in its Versions section.
Request its removal
To ask OSCR to remove this record, the copies of its authors' scripts or its tracing map, use the removal request page: signed in, you say who you are, what to remove and why, then review and confirm the request. Published rules decide every request (how).
Discussion, reproductions, activity
Discussion: code errors and mismatches between the code and the paper about this paper and its code, from readers and its authors, beside the paper and its tracing map.
Reproductions: reports from readers who ran the authors' code and did not get the paper's result, what they ran, with which environment, commit and data.
Activity: what happens around this paper: new versions of its record, its map's validation, discussions and reproductions. It opens with sign-in.
