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Genome-wide, high-content siRNA screening identifies the Alzheimer’s genetic risk factor FERMT2 as a major modulator of APP metabolism

Genome-wide association studies (GWASs) have identified 19 susceptibility loci for Alzheimer’s disease (AD). However, understanding how these genes are involved in the pathophysiology of AD is one of the main challenges of the “post-GWAS” era. At least 123 genes are located within the 19 susceptibil...

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Autores principales: Chapuis, Julien, Flaig, Amandine, Grenier-Boley, Benjamin, Eysert, Fanny, Pottiez, Virginie, Deloison, Gaspard, Vandeputte, Alexandre, Ayral, Anne-Marie, Mendes, Tiago, Desai, Shruti, Goate, Alison M., Kauwe, John S. K., Leroux, Florence, Herledan, Adrien, Demiautte, Florie, Bauer, Charlotte, Checler, Fréderic, Petersen, Ronald C., Blennow, Kaj, Zetterberg, Henrik, Minthon, Lennart, Van Deerlin, Vivianna M., Lee, Virginia Man-Yee, Shaw, Leslie M., Trojanowski, John Q., Albert, Marilyn, Moghekar, Abhay, O’Brien, Richard, Peskind, Elaine R., Malmanche, Nicolas, Schellenberg, Gerard D., Dourlen, Pierre, Song, Ok-Ryul, Cruchaga, Carlos, Amouyel, Philippe, Deprez, Benoit, Brodin, Priscille, Lambert, Jean-Charles
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Berlin Heidelberg 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5427165/
https://www.ncbi.nlm.nih.gov/pubmed/27933404
http://dx.doi.org/10.1007/s00401-016-1652-z
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author Chapuis, Julien
Flaig, Amandine
Grenier-Boley, Benjamin
Eysert, Fanny
Pottiez, Virginie
Deloison, Gaspard
Vandeputte, Alexandre
Ayral, Anne-Marie
Mendes, Tiago
Desai, Shruti
Goate, Alison M.
Kauwe, John S. K.
Leroux, Florence
Herledan, Adrien
Demiautte, Florie
Bauer, Charlotte
Checler, Fréderic
Petersen, Ronald C.
Blennow, Kaj
Zetterberg, Henrik
Minthon, Lennart
Van Deerlin, Vivianna M.
Lee, Virginia Man-Yee
Shaw, Leslie M.
Trojanowski, John Q.
Albert, Marilyn
Moghekar, Abhay
O’Brien, Richard
Peskind, Elaine R.
Malmanche, Nicolas
Schellenberg, Gerard D.
Dourlen, Pierre
Song, Ok-Ryul
Cruchaga, Carlos
Amouyel, Philippe
Deprez, Benoit
Brodin, Priscille
Lambert, Jean-Charles
author_facet Chapuis, Julien
Flaig, Amandine
Grenier-Boley, Benjamin
Eysert, Fanny
Pottiez, Virginie
Deloison, Gaspard
Vandeputte, Alexandre
Ayral, Anne-Marie
Mendes, Tiago
Desai, Shruti
Goate, Alison M.
Kauwe, John S. K.
Leroux, Florence
Herledan, Adrien
Demiautte, Florie
Bauer, Charlotte
Checler, Fréderic
Petersen, Ronald C.
Blennow, Kaj
Zetterberg, Henrik
Minthon, Lennart
Van Deerlin, Vivianna M.
Lee, Virginia Man-Yee
Shaw, Leslie M.
Trojanowski, John Q.
Albert, Marilyn
Moghekar, Abhay
O’Brien, Richard
Peskind, Elaine R.
Malmanche, Nicolas
Schellenberg, Gerard D.
Dourlen, Pierre
Song, Ok-Ryul
Cruchaga, Carlos
Amouyel, Philippe
Deprez, Benoit
Brodin, Priscille
Lambert, Jean-Charles
author_sort Chapuis, Julien
collection PubMed
description Genome-wide association studies (GWASs) have identified 19 susceptibility loci for Alzheimer’s disease (AD). However, understanding how these genes are involved in the pathophysiology of AD is one of the main challenges of the “post-GWAS” era. At least 123 genes are located within the 19 susceptibility loci; hence, a conventional approach (studying the genes one by one) would not be time- and cost-effective. We therefore developed a genome-wide, high-content siRNA screening approach and used it to assess the functional impact of gene under-expression on APP metabolism. We found that 832 genes modulated APP metabolism. Eight of these genes were located within AD susceptibility loci. Only FERMT2 (a β3-integrin co-activator) was also significantly associated with a variation in cerebrospinal fluid Aβ peptide levels in 2886 AD cases. Lastly, we showed that the under-expression of FERMT2 increases Aβ peptide production by raising levels of mature APP at the cell surface and facilitating its recycling. Taken as a whole, our data suggest that FERMT2 modulates the AD risk by regulating APP metabolism and Aβ peptide production. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1007/s00401-016-1652-z) contains supplementary material, which is available to authorized users.
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spelling pubmed-54271652017-05-26 Genome-wide, high-content siRNA screening identifies the Alzheimer’s genetic risk factor FERMT2 as a major modulator of APP metabolism Chapuis, Julien Flaig, Amandine Grenier-Boley, Benjamin Eysert, Fanny Pottiez, Virginie Deloison, Gaspard Vandeputte, Alexandre Ayral, Anne-Marie Mendes, Tiago Desai, Shruti Goate, Alison M. Kauwe, John S. K. Leroux, Florence Herledan, Adrien Demiautte, Florie Bauer, Charlotte Checler, Fréderic Petersen, Ronald C. Blennow, Kaj Zetterberg, Henrik Minthon, Lennart Van Deerlin, Vivianna M. Lee, Virginia Man-Yee Shaw, Leslie M. Trojanowski, John Q. Albert, Marilyn Moghekar, Abhay O’Brien, Richard Peskind, Elaine R. Malmanche, Nicolas Schellenberg, Gerard D. Dourlen, Pierre Song, Ok-Ryul Cruchaga, Carlos Amouyel, Philippe Deprez, Benoit Brodin, Priscille Lambert, Jean-Charles Acta Neuropathol Original Paper Genome-wide association studies (GWASs) have identified 19 susceptibility loci for Alzheimer’s disease (AD). However, understanding how these genes are involved in the pathophysiology of AD is one of the main challenges of the “post-GWAS” era. At least 123 genes are located within the 19 susceptibility loci; hence, a conventional approach (studying the genes one by one) would not be time- and cost-effective. We therefore developed a genome-wide, high-content siRNA screening approach and used it to assess the functional impact of gene under-expression on APP metabolism. We found that 832 genes modulated APP metabolism. Eight of these genes were located within AD susceptibility loci. Only FERMT2 (a β3-integrin co-activator) was also significantly associated with a variation in cerebrospinal fluid Aβ peptide levels in 2886 AD cases. Lastly, we showed that the under-expression of FERMT2 increases Aβ peptide production by raising levels of mature APP at the cell surface and facilitating its recycling. Taken as a whole, our data suggest that FERMT2 modulates the AD risk by regulating APP metabolism and Aβ peptide production. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1007/s00401-016-1652-z) contains supplementary material, which is available to authorized users. Springer Berlin Heidelberg 2016-12-08 2017 /pmc/articles/PMC5427165/ /pubmed/27933404 http://dx.doi.org/10.1007/s00401-016-1652-z Text en © The Author(s) 2016 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.
spellingShingle Original Paper
Chapuis, Julien
Flaig, Amandine
Grenier-Boley, Benjamin
Eysert, Fanny
Pottiez, Virginie
Deloison, Gaspard
Vandeputte, Alexandre
Ayral, Anne-Marie
Mendes, Tiago
Desai, Shruti
Goate, Alison M.
Kauwe, John S. K.
Leroux, Florence
Herledan, Adrien
Demiautte, Florie
Bauer, Charlotte
Checler, Fréderic
Petersen, Ronald C.
Blennow, Kaj
Zetterberg, Henrik
Minthon, Lennart
Van Deerlin, Vivianna M.
Lee, Virginia Man-Yee
Shaw, Leslie M.
Trojanowski, John Q.
Albert, Marilyn
Moghekar, Abhay
O’Brien, Richard
Peskind, Elaine R.
Malmanche, Nicolas
Schellenberg, Gerard D.
Dourlen, Pierre
Song, Ok-Ryul
Cruchaga, Carlos
Amouyel, Philippe
Deprez, Benoit
Brodin, Priscille
Lambert, Jean-Charles
Genome-wide, high-content siRNA screening identifies the Alzheimer’s genetic risk factor FERMT2 as a major modulator of APP metabolism
title Genome-wide, high-content siRNA screening identifies the Alzheimer’s genetic risk factor FERMT2 as a major modulator of APP metabolism
title_full Genome-wide, high-content siRNA screening identifies the Alzheimer’s genetic risk factor FERMT2 as a major modulator of APP metabolism
title_fullStr Genome-wide, high-content siRNA screening identifies the Alzheimer’s genetic risk factor FERMT2 as a major modulator of APP metabolism
title_full_unstemmed Genome-wide, high-content siRNA screening identifies the Alzheimer’s genetic risk factor FERMT2 as a major modulator of APP metabolism
title_short Genome-wide, high-content siRNA screening identifies the Alzheimer’s genetic risk factor FERMT2 as a major modulator of APP metabolism
title_sort genome-wide, high-content sirna screening identifies the alzheimer’s genetic risk factor fermt2 as a major modulator of app metabolism
topic Original Paper
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5427165/
https://www.ncbi.nlm.nih.gov/pubmed/27933404
http://dx.doi.org/10.1007/s00401-016-1652-z
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