Identifying Genes That Encode APP Metabolism Modulators | A novel approach in functional genomics to gain insight into the pathogenesis of Alzheimer's disease

Can Zhang

ISBN 10: 3838360893 / ISBN 13: 9783838360898

Published by LAP LAMBERT Academic Publishing, 2010

About this Item

Identifying Genes That Encode APP Metabolism Modulators | A novel approach in functional genomics to gain insight into the pathogenesis of Alzheimer's disease | Can Zhang | Taschenbuch | 156 S. | Englisch | 2010 | LAP LAMBERT Academic Publishing | EAN 9783838360898 | Verantwortliche Person für die EU: BoD - Books on Demand, In de Tarpen 42, 22848 Norderstedt, info[at]bod[dot]de | Anbieter: preigu.

Seller Inventory # 101044425

Bibliographic Details

• Title: Identifying Genes That Encode APP Metabolism Modulators | A novel approach in functional genomics to gain insight into the pathogenesis of Alzheimer's disease
• Publisher: LAP LAMBERT Academic Publishing
• Publication Date: 2010
• Language: English
• ISBN 10: 3838360893
• ISBN 13: 9783838360898
• Binding: Taschenbuch
• Condition: Neu
• Dimensions: 220W x 150H x 10D millimeters 220 millimeters width by 150 millimeters height by 10 millimeters depth
• Weight: 250 grams
• Seller catalogs:
  • Bücher

About this title

Synopsis

Alzheimer?s disease (AD) is a devastating neurodegenerative disease with complex and strong genetic inheritance. The central pathological event in AD is believed to be the regulated intramembrane proteolysis of the amyloid-beta precursor protein (APP), which generates accumulable amyloid-beta peptide and the APP intracellular domain (AICD). The genetic cause of AD is not fully identified, and up to 70% of the heritability of AD is unknown. In this "translational" study, we hijacked the transcriptional activation property of the AICD fragment and constructed a functional assay to discover novel APP metabolism regulators. We have identified 11 positional candidate genes in an AD risk linkage region on chromosome 9 where the AD candidate gene, ubiquilin 1 (UBQLN1), has been previously found. Our data also showed that UBQLN1, which encodes a protein involved in protein degradation and quality control, modulates APP metabolism through a cell type-dependent mechanism. Collectively, we report a novel approach in functional genomics that provides a robust tool to identify novel AD candidate genes and may serve to provide insight into the pathogenesis of AD.