Integrating single-cell RNA-Seq and machine learning to dissect a novel Palmitoylation-related prognostic signature of glioblastoma

This study revealed for the first time the heterogeneity of palmitoylation at the GBM single-cell level. The identification of ZDHHC2, ZDHHC4, and ZDHHC20 as key regulators of palmitoylation in GBM emphasized their potential as biomarkers and therapeutic targets.

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Publication Details

Journal
BMC Neurology
Published
2025-12-04
DOI
https://doi.org/10.1186/s12883-025-04551-4
Primary Topic
Single-cell and spatial transcriptomics
Type
article
Field-Weighted Citation Impact
0.00
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article

Integrating single-cell RNA-Seq and machine learning to dissect a novel Palmitoylation-related prognostic signature of glioblastoma

Zhu Zhang, Yang Chunli, Zhiying Lin, Haojie Zheng
BMC Neurology
Single-cell and spatial transcriptomics
article

Integrating single-cell RNA-Seq and machine learning to dissect a novel Palmitoylation-related prognostic signature of glioblastoma

Zhu Zhang, Yang Chunli, Zhiying Lin, Haojie Zheng
article en

Abstract

This study revealed for the first time the heterogeneity of palmitoylation at the GBM single-cell level. The identification of ZDHHC2, ZDHHC4, and ZDHHC20 as key regulators of palmitoylation in GBM emphasized their potential as biomarkers and therapeutic targets.

BMC NeurologyVol. 26(1)
First Affiliated Hospital of Jiangxi Medical College (CN), The First People's Hospital of Shunde (CN), Jiangxi Provincial People's Hospital (CN), Zhongshan People's Hospital (CN)
Openalex Percentile: Top 65%
Single-cell and spatial transcriptomics
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