Comprehensive transcriptomic analysis integrating bulk and single-cell RNA-seq with machine learning to identify and validate mitochondrial unfolded protein response biomarkers in patients with ischemic stroke

Abstract excerpt

Background Ischemic stroke (IS) represents a significant contributor to morbidity and mortality globally. The relationship between IS and mitochondrial unfolded protein response ( UPR mt ) was presently uncertain. This study endeavors to explore the fundamental mechanism of UPR mt in IS by utilizing bioinformatics methods. Methods In GSE58294, differentially expressed genes (DEGs) were obtained, which were...

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