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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...
Autores principales: | , , , , , , , , , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Cell Press
2017
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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. |
format | Online Article Text |
id | pubmed-5583477 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | Cell Press |
record_format | MEDLINE/PubMed |
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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