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

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

BackgroundIschemic stroke (IS) represents a significant contributor to morbidity and mortality globally. The relationship between IS and mitochondrial unfolded protein response (UPRmt) was presently uncertain. This study endeavors to explore the fundamental mechanism of UPRmt in IS by utilizing bioi...

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Bibliographic Details
Main Authors: Lu Zhang, Lei Yue, Peng Jia, Ziqi Cheng, Jiwen Liu
Format: Article
Language:English
Published: Frontiers Media S.A. 2025-04-01
Series:Frontiers in Cell and Developmental Biology
Subjects:
bioinformation
biomarker
bulk RNA-seq
ischemic stroke
single cell
mitochondrial unfolded protein response
Online Access:https://www.frontiersin.org/articles/10.3389/fcell.2025.1582252/full
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https://www.frontiersin.org/articles/10.3389/fcell.2025.1582252/full

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