PulseExploreJournal ClubDebatesTrendingResearchersJournals
Instagram
HomeExploreJournal ClubTrending
Synapse
⌘+K
Synapse
May 1, 2026International Journal of Molecular Sciences0 citationsOpen Access

Genome-Wide CRISPR Screening Identifies Genetic Modulators of Amyloid Precursor Protein Processing

View Full Paper
YLYou LiYYYingjia YaoZXZitao Xu

Key Points

  • This research aims to identify genetic regulators that modulate amyloid precursor protein processing in Alzheimer's disease.
  • Conducted a genome-wide CRISPR/Cas9 knockout screen using a UAS-GAL4-based reporter system.
  • Identified gene clusters involved in amyloidogenic and non-amyloidogenic pathways.
  • Performed biochemical validation of significant gene ablation effects on metabolic balance between sAPPα and amyloid-β.
  • Identified LDHB, PIAS2, CCDC53, and TRIM61 as novel regulators of APP processing.
  • Gene knockout significantly altered the production levels of sAPPα and amyloid-β, demonstrating a metabolic shift.
  • Found that these modulators are dysregulated in human Alzheimer's disease transcriptomic datasets.

Abstract

The proteolytic processing of the amyloid precursor protein (APP) is a core pathological event in Alzheimer’s disease (AD) pathogenesis, yet the global genetic regulatory networks modulating this process have not been fully characterized. To systematically identify novel regulators of APP cleavage, we performed a genome-wide CRISPR/Cas9 knockout screen utilizing an optimized UAS-GAL4-based cellular reporter, and identified genetic modulators governing amyloidogenic and non-amyloidogenic processing. The screen uncovered distinct functional gene clusters regulating the APP, prominently involving cellular metabolism, protein modification, and vesicular trafficking. Specifically, LDHB, PIAS2, CCDC53, and TRIM61 emerged as novel functional modulators. Biochemical validation confirmed that ablating these genes significantly alters the metabolic balance between sAPPα and amyloid-β (Aβ) production. Finally, integration with human AD transcriptomic datasets demonstrated that these identified modulators undergo significant dysregulation in clinics. Together, these findings establish a reporter-based functional screening framework for APP processing and identify candidate regulatory nodes linked to metabolism, protein modification, and vesicular trafficking. These candidates provide a resource for future mechanistic investigation and validation in more disease-relevant AD models.

Ask AI
Helpful
Bookmark
Share
View Full Paper

Cite This Study

Li et al. (2026) studied this question.

synapsesocial.com/papers/69f442d4967e944ac55663cbhttps://doi.org/10.3390/ijms27093926
Ask AI
Helpful
Bookmark
Share
View Full Paper