Identification of Disulfidptosis-Related Genes in Ischemic Stroke by Combining Single-Cell Sequencing, Machine Learning Algorithms, and In Vitro Experiments.

Journal: Neuromolecular medicine

PMID: 39278970

Abstract

BACKGROUND: Ischemic stroke (IS) is a severe neurological disorder with a pathogenesis that remains incompletely understood. Recently, a novel form of cell death known as disulfidptosis has garnered significant attention in the field of ischemic stroke research. This study aims to investigate the mechanistic roles of disulfidptosis-related genes (DRGs) in the context of IS and to examine their correlation with immunopathological features.

Authors

Songyun Zhao

Department of Neurosurgery, Wuxi People's Hospital Affiliated to Nanjing Medical University, Wuxi, China.
Hao Zhuang

Key Laboratory of Advanced Materials of Tropical Island Resources of Ministry of Education and School of Chemical Engineering and Technology, Hainan University, Haikou, Hainan 570228, China.
Wei Ji
Chao Cheng

Department of Molecular and Systems Biology, Lebanon, USA. Chao.Cheng@bcm.edu.
Yuankun Liu

Department of Neurosurgery, The Afliated Wuxi People's Hospital of Nanjing Medical University, Wuxi, China. wxrmyylyk@stu.njmu.edu.cn.

Keywords

Algorithms Animals Cell Death Humans Ischemic Stroke Machine Learning Male Mice Microglia Nomograms Single-Cell Analysis Transcriptome

External Resources

View on PubMed Access via DOI PubMed (39278970)

Identification of Disulfidptosis-Related Genes in Ischemic Stroke by Combining Single-Cell Sequencing, Machine Learning Algorithms, and In Vitro Experiments.

Abstract

Authors

Keywords

External Resources

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