Literature DB >> 19189053

Presenilin-dependent regulated intramembrane proteolysis and gamma-secretase activity.

J V McCarthy1, C Twomey, P Wujek.   

Abstract

Inhibiting the production of amyloid-beta by antagonising gamma-secretase activity is currently being pursued as a therapeutic strategy for Alzheimer's disease (AD). However, early pre-clinical studies have demonstrated that disruption of presenilin-dependent gamma-secretase alters many presenilin-dependent processes, leading to early lethality in several AD model organisms. Subsequently, transgenic animal studies have highlighted several gross developmental side effects arising from presenilin deficiency. Partial knockdown or tissue-specific knockout of presenilins has identified the skin, vascular and immune systems as very sensitive to loss of presenilin functions. A more appreciative understanding of presenilin biology is therefore demanded if gamma-secretase is to be pursued as a therapeutic target. Herein we review the current understanding of gamma-secretase complexes; their regulation, abundance of interacting partners and diversity of substrates. We also discuss regulation of the gamma-secretase complexes, with an emphasis on the functional role of presenilins in cell biology.

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Year:  2009        PMID: 19189053     DOI: 10.1007/s00018-009-8435-9

Source DB:  PubMed          Journal:  Cell Mol Life Sci        ISSN: 1420-682X            Impact factor:   9.261


  49 in total

Review 1.  γ-Secretase-regulated mechanisms similar to notch signaling may play a role in signaling events, including APP signaling, which leads to Alzheimer's disease.

Authors:  Kohzo Nakayama; Hisashi Nagase; Chang-Sung Koh; Takeshi Ohkawara
Journal:  Cell Mol Neurobiol       Date:  2011-04-23       Impact factor: 5.046

Review 2.  Physiological functions of the amyloid precursor protein secretases ADAM10, BACE1, and presenilin.

Authors:  Johannes Prox; Andrea Rittger; Paul Saftig
Journal:  Exp Brain Res       Date:  2011-11-27       Impact factor: 1.972

Review 3.  Cellular mechanisms of γ-secretase substrate selection, processing and toxicity.

Authors:  Gael Barthet; Anastasios Georgakopoulos; Nikolaos K Robakis
Journal:  Prog Neurobiol       Date:  2012-05-20       Impact factor: 11.685

4.  γ-Secretase Activity Is Required for Regulated Intramembrane Proteolysis of Tumor Necrosis Factor (TNF) Receptor 1 and TNF-mediated Pro-apoptotic Signaling.

Authors:  Jyoti Chhibber-Goel; Caroline Coleman-Vaughan; Vishal Agrawal; Neha Sawhney; Emer Hickey; James C Powell; Justin V McCarthy
Journal:  J Biol Chem       Date:  2016-01-11       Impact factor: 5.157

Review 5.  Presenilins and γ-secretase: structure, function, and role in Alzheimer Disease.

Authors:  Bart De Strooper; Takeshi Iwatsubo; Michael S Wolfe
Journal:  Cold Spring Harb Perspect Med       Date:  2012-01       Impact factor: 6.915

Review 6.  Targeting γ-secretase in breast cancer.

Authors:  Jianxun Han; Qiang Shen
Journal:  Breast Cancer (Dove Med Press)       Date:  2012-06-21

7.  Small molecules intercept Notch signaling and the early secretory pathway.

Authors:  Andreas Krämer; Torben Mentrup; Bertrand Kleizen; Eric Rivera-Milla; Daniela Reichenbach; Christoph Enzensperger; Richard Nohl; Eric Täuscher; Helmar Görls; Aspasia Ploubidou; Christoph Englert; Oliver Werz; Hans-Dieter Arndt; Christoph Kaether
Journal:  Nat Chem Biol       Date:  2013-09-29       Impact factor: 15.040

Review 8.  Receptor tyrosine kinases in the nucleus.

Authors:  Graham Carpenter; Hong-Jun Liao
Journal:  Cold Spring Harb Perspect Biol       Date:  2013-10-01       Impact factor: 10.005

9.  Pharmacological analysis of Drosophila melanogaster gamma-secretase with respect to differential proteolysis of Notch and APP.

Authors:  Casper Groth; W Gregory Alvord; Octavio A Quiñones; Mark E Fortini
Journal:  Mol Pharmacol       Date:  2010-01-11       Impact factor: 4.436

10.  Presenilin 1 and Presenilin 2 Target γ-Secretase Complexes to Distinct Cellular Compartments.

Authors:  Xavier Meckler; Frédéric Checler
Journal:  J Biol Chem       Date:  2016-04-08       Impact factor: 5.157

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