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The CRAPome: a Contaminant Repository for Affinity Purification Mass Spectrometry Data

Affinity purification coupled with mass spectrometry (AP-MS) is now a widely used approach for the identification of protein-protein interactions. However, for any given protein of interest, determining which of the identified polypeptides represent bona fide interactors versus those that are backgr...

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Autores principales: Mellacheruvu, Dattatreya, Wright, Zachary, Couzens, Amber L., Lambert, Jean-Philippe, St-Denis, Nicole, Li, Tuo, Miteva, Yana V., Hauri, Simon, Sardiu, Mihaela E., Low, Teck Yew, Halim, Vincentius A., Bagshaw, Richard D., Hubner, Nina C., al-Hakim, Abdallah, Bouchard, Annie, Faubert, Denis, Fermin, Damian, Dunham, Wade H., Goudreault, Marilyn, Lin, Zhen-Yuan, Badillo, Beatriz Gonzalez, Pawson, Tony, Durocher, Daniel, Coulombe, Benoit, Aebersold, Ruedi, Superti-Furga, Giulio, Colinge, Jacques, Heck, Albert J. R., Choi, Hyungwon, Gstaiger, Matthias, Mohammed, Shabaz, Cristea, Ileana M., Bennett, Keiryn L., Washburn, Mike P., Raught, Brian, Ewing, Rob M., Gingras, Anne-Claude, Nesvizhskii, Alexey I.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: 2013
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3773500/
https://www.ncbi.nlm.nih.gov/pubmed/23921808
http://dx.doi.org/10.1038/nmeth.2557
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author Mellacheruvu, Dattatreya
Wright, Zachary
Couzens, Amber L.
Lambert, Jean-Philippe
St-Denis, Nicole
Li, Tuo
Miteva, Yana V.
Hauri, Simon
Sardiu, Mihaela E.
Low, Teck Yew
Halim, Vincentius A.
Bagshaw, Richard D.
Hubner, Nina C.
al-Hakim, Abdallah
Bouchard, Annie
Faubert, Denis
Fermin, Damian
Dunham, Wade H.
Goudreault, Marilyn
Lin, Zhen-Yuan
Badillo, Beatriz Gonzalez
Pawson, Tony
Durocher, Daniel
Coulombe, Benoit
Aebersold, Ruedi
Superti-Furga, Giulio
Colinge, Jacques
Heck, Albert J. R.
Choi, Hyungwon
Gstaiger, Matthias
Mohammed, Shabaz
Cristea, Ileana M.
Bennett, Keiryn L.
Washburn, Mike P.
Raught, Brian
Ewing, Rob M.
Gingras, Anne-Claude
Nesvizhskii, Alexey I.
author_facet Mellacheruvu, Dattatreya
Wright, Zachary
Couzens, Amber L.
Lambert, Jean-Philippe
St-Denis, Nicole
Li, Tuo
Miteva, Yana V.
Hauri, Simon
Sardiu, Mihaela E.
Low, Teck Yew
Halim, Vincentius A.
Bagshaw, Richard D.
Hubner, Nina C.
al-Hakim, Abdallah
Bouchard, Annie
Faubert, Denis
Fermin, Damian
Dunham, Wade H.
Goudreault, Marilyn
Lin, Zhen-Yuan
Badillo, Beatriz Gonzalez
Pawson, Tony
Durocher, Daniel
Coulombe, Benoit
Aebersold, Ruedi
Superti-Furga, Giulio
Colinge, Jacques
Heck, Albert J. R.
Choi, Hyungwon
Gstaiger, Matthias
Mohammed, Shabaz
Cristea, Ileana M.
Bennett, Keiryn L.
Washburn, Mike P.
Raught, Brian
Ewing, Rob M.
Gingras, Anne-Claude
Nesvizhskii, Alexey I.
author_sort Mellacheruvu, Dattatreya
collection PubMed
description Affinity purification coupled with mass spectrometry (AP-MS) is now a widely used approach for the identification of protein-protein interactions. However, for any given protein of interest, determining which of the identified polypeptides represent bona fide interactors versus those that are background contaminants (e.g. proteins that interact with the solid-phase support, affinity reagent or epitope tag) is a challenging task. While the standard approach is to identify nonspecific interactions using one or more negative controls, most small-scale AP-MS studies do not capture a complete, accurate background protein set. Fortunately, negative controls are largely bait-independent. Hence, aggregating negative controls from multiple AP-MS studies can increase coverage and improve the characterization of background associated with a given experimental protocol. Here we present the Contaminant Repository for Affinity Purification (the CRAPome) and describe the use of this resource to score protein-protein interactions. The repository (currently available for Homo sapiens and Saccharomyces cerevisiae) and computational tools are freely available online at www.crapome.org.
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spelling pubmed-37735002014-02-01 The CRAPome: a Contaminant Repository for Affinity Purification Mass Spectrometry Data Mellacheruvu, Dattatreya Wright, Zachary Couzens, Amber L. Lambert, Jean-Philippe St-Denis, Nicole Li, Tuo Miteva, Yana V. Hauri, Simon Sardiu, Mihaela E. Low, Teck Yew Halim, Vincentius A. Bagshaw, Richard D. Hubner, Nina C. al-Hakim, Abdallah Bouchard, Annie Faubert, Denis Fermin, Damian Dunham, Wade H. Goudreault, Marilyn Lin, Zhen-Yuan Badillo, Beatriz Gonzalez Pawson, Tony Durocher, Daniel Coulombe, Benoit Aebersold, Ruedi Superti-Furga, Giulio Colinge, Jacques Heck, Albert J. R. Choi, Hyungwon Gstaiger, Matthias Mohammed, Shabaz Cristea, Ileana M. Bennett, Keiryn L. Washburn, Mike P. Raught, Brian Ewing, Rob M. Gingras, Anne-Claude Nesvizhskii, Alexey I. Nat Methods Article Affinity purification coupled with mass spectrometry (AP-MS) is now a widely used approach for the identification of protein-protein interactions. However, for any given protein of interest, determining which of the identified polypeptides represent bona fide interactors versus those that are background contaminants (e.g. proteins that interact with the solid-phase support, affinity reagent or epitope tag) is a challenging task. While the standard approach is to identify nonspecific interactions using one or more negative controls, most small-scale AP-MS studies do not capture a complete, accurate background protein set. Fortunately, negative controls are largely bait-independent. Hence, aggregating negative controls from multiple AP-MS studies can increase coverage and improve the characterization of background associated with a given experimental protocol. Here we present the Contaminant Repository for Affinity Purification (the CRAPome) and describe the use of this resource to score protein-protein interactions. The repository (currently available for Homo sapiens and Saccharomyces cerevisiae) and computational tools are freely available online at www.crapome.org. 2013-07-07 2013-08 /pmc/articles/PMC3773500/ /pubmed/23921808 http://dx.doi.org/10.1038/nmeth.2557 Text en Users may view, print, copy, download and text and data- mine the content in such documents, for the purposes of academic research, subject always to the full Conditions of use: http://www.nature.com/authors/editorial_policies/license.html#terms
spellingShingle Article
Mellacheruvu, Dattatreya
Wright, Zachary
Couzens, Amber L.
Lambert, Jean-Philippe
St-Denis, Nicole
Li, Tuo
Miteva, Yana V.
Hauri, Simon
Sardiu, Mihaela E.
Low, Teck Yew
Halim, Vincentius A.
Bagshaw, Richard D.
Hubner, Nina C.
al-Hakim, Abdallah
Bouchard, Annie
Faubert, Denis
Fermin, Damian
Dunham, Wade H.
Goudreault, Marilyn
Lin, Zhen-Yuan
Badillo, Beatriz Gonzalez
Pawson, Tony
Durocher, Daniel
Coulombe, Benoit
Aebersold, Ruedi
Superti-Furga, Giulio
Colinge, Jacques
Heck, Albert J. R.
Choi, Hyungwon
Gstaiger, Matthias
Mohammed, Shabaz
Cristea, Ileana M.
Bennett, Keiryn L.
Washburn, Mike P.
Raught, Brian
Ewing, Rob M.
Gingras, Anne-Claude
Nesvizhskii, Alexey I.
The CRAPome: a Contaminant Repository for Affinity Purification Mass Spectrometry Data
title The CRAPome: a Contaminant Repository for Affinity Purification Mass Spectrometry Data
title_full The CRAPome: a Contaminant Repository for Affinity Purification Mass Spectrometry Data
title_fullStr The CRAPome: a Contaminant Repository for Affinity Purification Mass Spectrometry Data
title_full_unstemmed The CRAPome: a Contaminant Repository for Affinity Purification Mass Spectrometry Data
title_short The CRAPome: a Contaminant Repository for Affinity Purification Mass Spectrometry Data
title_sort crapome: a contaminant repository for affinity purification mass spectrometry data
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3773500/
https://www.ncbi.nlm.nih.gov/pubmed/23921808
http://dx.doi.org/10.1038/nmeth.2557
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