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Transcriptional Landscape for Endoplasmic Reticulum Stress in Alzheimer's Disease Patients-Derived Dermal Fibroblast

GSE283128 Homo sapiens Expression profiling by high throughput sequencing 84 samples 2025/02/21 GPL24676
Summary
Numerous studies have identified various risk factors associated with Alzheimer's disease (AD). However, the experimental limitations of disease modeling make it challenging to directly interpret these effects. These limitations include constraints of postmortem samples, animal experiments, and challenges associated with brain tissue studies. Ex-vivo experiments effectively address these issues by enabling patient-specific identification and highlighting potential biomarkers. In addition, patient-derived human dermal fibroblast effectively reflect the molecular anomalies that disrupt cellular homeostasis. This study aimed to use an ex-vivo platform to characterize the transcriptional profile of fibroblasts derived from patients with AD in response to endoplasmic reticulum (ER) stress and propose potential biomarkers. We utilized patient-derived fibroblasts to observe differentially responsive genes to ER stress in both healthy controls (N=22) and patients with AD (N=20) using RNA sequencing.
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NCBI GEO page ↗ Paper (PMID 40566894) ↗ {# Names what the click gives you. "Open in finder" meant nothing to a visitor who arrived from a search engine and has never seen the tool. #} Find more human RNA-seq datasets →
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