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A Bilingual Computational Workflow for Identifying Potential PLK1 Inhibitors in American Sign Language and English
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An AICD-based functional screen to identify APP metabolism regulators.

Can Zhang1, Preeti J Khandelwal, Ranjita Chakraborty

  • 1Department of Bioscience & Biotechnology, Drexel University, Philadelphia, PA, USA. Aleister.Saunders@drexel.edu.

Molecular Neurodegeneration
|August 28, 2007
PubMed
Summary

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Researchers developed a genetic screen using APP-Gal4 fusion protein to identify Alzheimer's disease regulators. This screen successfully identified Ubiquilin 1 as a novel regulator of APP metabolism.

Area of Science:

  • Neuroscience
  • Molecular Biology
  • Genetics

Background:

  • Alzheimer's disease (AD) involves beta-amyloid precursor protein (APP) proteolysis, generating beta-amyloid (Abeta) and APP intracellular domain (AICD).
  • AICD possesses transcriptional activation properties, making it a target for studying APP metabolism regulation.

Purpose of the Study:

  • To develop and validate a genetic screen for identifying novel regulators of APP metabolism.
  • To leverage AICD's transactivation properties to create a reporter system for APP metabolism modulators.

Main Methods:

  • A genetic screen was designed using an APP-Gal4 fusion protein, where AICD-Gal4 production drives luciferase expression.
  • The screen's efficacy was validated by modulating secretase levels and activities.
  • Ubiquilin 1 (UB1) was knocked down to assess its impact on the reporter system and APP processing.

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Last Updated: Jul 12, 2026

A Bilingual Computational Workflow for Identifying Potential PLK1 Inhibitors in American Sign Language and English
14:34

A Bilingual Computational Workflow for Identifying Potential PLK1 Inhibitors in American Sign Language and English

Published on: April 3, 2026

Main Results:

  • Luciferase activity changes strongly correlated with modulated secretase levels, validating the screen.
  • Knockdown of Ubiquilin 1 significantly decreased luciferase activity.
  • Ubiquilin 1 was confirmed to modulate AICD-Gal4 levels, total APP levels, APP maturation, and Presenilin 1 (PS1) endoproteolysis.

Conclusions:

  • The developed genetic screen effectively identifies regulators of APP metabolism, including proteolysis, trafficking, and maturation.
  • This study provides the first evidence that Ubiquilin 1 regulates APP metabolism in human neuroblastoma cells (SH-SY5Y).