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Genomic Determinants of Protein Abundance Variation in Colorectal Cancer Cells

Assessing the impact of genomic alterations on protein networks is fundamental in identifying the mechanisms that shape cancer heterogeneity. We have used isobaric labeling to characterize the proteomic landscapes of 50 colorectal cancer cell lines and to decipher the functional consequences of soma...

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Autores principales: Roumeliotis, Theodoros I., Williams, Steven P., Gonçalves, Emanuel, Alsinet, Clara, Del Castillo Velasco-Herrera, Martin, Aben, Nanne, Ghavidel, Fatemeh Zamanzad, Michaut, Magali, Schubert, Michael, Price, Stacey, Wright, James C., Yu, Lu, Yang, Mi, Dienstmann, Rodrigo, Guinney, Justin, Beltrao, Pedro, Brazma, Alvis, Pardo, Mercedes, Stegle, Oliver, Adams, David J., Wessels, Lodewyk, Saez-Rodriguez, Julio, McDermott, Ultan, Choudhary, Jyoti S.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Cell Press 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5583477/
https://www.ncbi.nlm.nih.gov/pubmed/28854368
http://dx.doi.org/10.1016/j.celrep.2017.08.010
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author Roumeliotis, Theodoros I.
Williams, Steven P.
Gonçalves, Emanuel
Alsinet, Clara
Del Castillo Velasco-Herrera, Martin
Aben, Nanne
Ghavidel, Fatemeh Zamanzad
Michaut, Magali
Schubert, Michael
Price, Stacey
Wright, James C.
Yu, Lu
Yang, Mi
Dienstmann, Rodrigo
Guinney, Justin
Beltrao, Pedro
Brazma, Alvis
Pardo, Mercedes
Stegle, Oliver
Adams, David J.
Wessels, Lodewyk
Saez-Rodriguez, Julio
McDermott, Ultan
Choudhary, Jyoti S.
author_facet Roumeliotis, Theodoros I.
Williams, Steven P.
Gonçalves, Emanuel
Alsinet, Clara
Del Castillo Velasco-Herrera, Martin
Aben, Nanne
Ghavidel, Fatemeh Zamanzad
Michaut, Magali
Schubert, Michael
Price, Stacey
Wright, James C.
Yu, Lu
Yang, Mi
Dienstmann, Rodrigo
Guinney, Justin
Beltrao, Pedro
Brazma, Alvis
Pardo, Mercedes
Stegle, Oliver
Adams, David J.
Wessels, Lodewyk
Saez-Rodriguez, Julio
McDermott, Ultan
Choudhary, Jyoti S.
author_sort Roumeliotis, Theodoros I.
collection PubMed
description Assessing the impact of genomic alterations on protein networks is fundamental in identifying the mechanisms that shape cancer heterogeneity. We have used isobaric labeling to characterize the proteomic landscapes of 50 colorectal cancer cell lines and to decipher the functional consequences of somatic genomic variants. The robust quantification of over 9,000 proteins and 11,000 phosphopeptides on average enabled the de novo construction of a functional protein correlation network, which ultimately exposed the collateral effects of mutations on protein complexes. CRISPR-cas9 deletion of key chromatin modifiers confirmed that the consequences of genomic alterations can propagate through protein interactions in a transcript-independent manner. Lastly, we leveraged the quantified proteome to perform unsupervised classification of the cell lines and to build predictive models of drug response in colorectal cancer. Overall, we provide a deep integrative view of the functional network and the molecular structure underlying the heterogeneity of colorectal cancer cells.
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spelling pubmed-55834772017-09-14 Genomic Determinants of Protein Abundance Variation in Colorectal Cancer Cells Roumeliotis, Theodoros I. Williams, Steven P. Gonçalves, Emanuel Alsinet, Clara Del Castillo Velasco-Herrera, Martin Aben, Nanne Ghavidel, Fatemeh Zamanzad Michaut, Magali Schubert, Michael Price, Stacey Wright, James C. Yu, Lu Yang, Mi Dienstmann, Rodrigo Guinney, Justin Beltrao, Pedro Brazma, Alvis Pardo, Mercedes Stegle, Oliver Adams, David J. Wessels, Lodewyk Saez-Rodriguez, Julio McDermott, Ultan Choudhary, Jyoti S. Cell Rep Resource Assessing the impact of genomic alterations on protein networks is fundamental in identifying the mechanisms that shape cancer heterogeneity. We have used isobaric labeling to characterize the proteomic landscapes of 50 colorectal cancer cell lines and to decipher the functional consequences of somatic genomic variants. The robust quantification of over 9,000 proteins and 11,000 phosphopeptides on average enabled the de novo construction of a functional protein correlation network, which ultimately exposed the collateral effects of mutations on protein complexes. CRISPR-cas9 deletion of key chromatin modifiers confirmed that the consequences of genomic alterations can propagate through protein interactions in a transcript-independent manner. Lastly, we leveraged the quantified proteome to perform unsupervised classification of the cell lines and to build predictive models of drug response in colorectal cancer. Overall, we provide a deep integrative view of the functional network and the molecular structure underlying the heterogeneity of colorectal cancer cells. Cell Press 2017-08-29 /pmc/articles/PMC5583477/ /pubmed/28854368 http://dx.doi.org/10.1016/j.celrep.2017.08.010 Text en © 2017 The Author(s) http://creativecommons.org/licenses/by/4.0/ This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Resource
Roumeliotis, Theodoros I.
Williams, Steven P.
Gonçalves, Emanuel
Alsinet, Clara
Del Castillo Velasco-Herrera, Martin
Aben, Nanne
Ghavidel, Fatemeh Zamanzad
Michaut, Magali
Schubert, Michael
Price, Stacey
Wright, James C.
Yu, Lu
Yang, Mi
Dienstmann, Rodrigo
Guinney, Justin
Beltrao, Pedro
Brazma, Alvis
Pardo, Mercedes
Stegle, Oliver
Adams, David J.
Wessels, Lodewyk
Saez-Rodriguez, Julio
McDermott, Ultan
Choudhary, Jyoti S.
Genomic Determinants of Protein Abundance Variation in Colorectal Cancer Cells
title Genomic Determinants of Protein Abundance Variation in Colorectal Cancer Cells
title_full Genomic Determinants of Protein Abundance Variation in Colorectal Cancer Cells
title_fullStr Genomic Determinants of Protein Abundance Variation in Colorectal Cancer Cells
title_full_unstemmed Genomic Determinants of Protein Abundance Variation in Colorectal Cancer Cells
title_short Genomic Determinants of Protein Abundance Variation in Colorectal Cancer Cells
title_sort genomic determinants of protein abundance variation in colorectal cancer cells
topic Resource
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5583477/
https://www.ncbi.nlm.nih.gov/pubmed/28854368
http://dx.doi.org/10.1016/j.celrep.2017.08.010
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