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Protein-based identification of quantitative trait loci associated with malignant transformation in two HER2+ cellular models of breast cancer

BACKGROUND: A contemporary view of the cancer genome reveals extensive rearrangement compared to normal cells. Yet how these genetic alterations translate into specific proteomic changes that underpin acquiring the hallmarks of cancer remains unresolved. The objectives of this study were to quantify...

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Autores principales: Kulkarni, Yogesh M, Klinke, David J
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2012
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3305585/
https://www.ncbi.nlm.nih.gov/pubmed/22357162
http://dx.doi.org/10.1186/1477-5956-10-11
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author Kulkarni, Yogesh M
Klinke, David J
author_facet Kulkarni, Yogesh M
Klinke, David J
author_sort Kulkarni, Yogesh M
collection PubMed
description BACKGROUND: A contemporary view of the cancer genome reveals extensive rearrangement compared to normal cells. Yet how these genetic alterations translate into specific proteomic changes that underpin acquiring the hallmarks of cancer remains unresolved. The objectives of this study were to quantify alterations in protein expression in two HER2+ cellular models of breast cancer and to infer differentially regulated signaling pathways in these models associated with the hallmarks of cancer. RESULTS: A proteomic workflow was used to identify proteins in two HER2 positive tumorigenic cell lines (BT474 and SKBR3) that were differentially expressed relative to a normal human mammary epithelial cell line (184A1). A total of 64 (BT474-184A1) and 69 (SKBR3-184A1) proteins were uniquely identified that were differentially expressed by at least 1.5-fold. Pathway inference tools were used to interpret these proteins in terms of functionally enriched pathways in the tumor cell lines. We observed "protein ubiquitination" and "apoptosis signaling" pathways were both enriched in the two breast cancer models while "IGF signaling" and "cell motility" pathways were enriched in BT474 and "amino acid metabolism" were enriched in the SKBR3 cell line. CONCLUSION: While "protein ubiquitination" and "apoptosis signaling" pathways were common to both the cell lines, the observed patterns of protein expression suggest that the evasion of apoptosis in each tumorigenic cell line occurs via different mechanisms. Evidently, apoptosis is regulated in BT474 via down regulation of Bid and in SKBR3 via up regulation of Calpain-11 as compared to 184A1.
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spelling pubmed-33055852012-03-16 Protein-based identification of quantitative trait loci associated with malignant transformation in two HER2+ cellular models of breast cancer Kulkarni, Yogesh M Klinke, David J Proteome Sci Research BACKGROUND: A contemporary view of the cancer genome reveals extensive rearrangement compared to normal cells. Yet how these genetic alterations translate into specific proteomic changes that underpin acquiring the hallmarks of cancer remains unresolved. The objectives of this study were to quantify alterations in protein expression in two HER2+ cellular models of breast cancer and to infer differentially regulated signaling pathways in these models associated with the hallmarks of cancer. RESULTS: A proteomic workflow was used to identify proteins in two HER2 positive tumorigenic cell lines (BT474 and SKBR3) that were differentially expressed relative to a normal human mammary epithelial cell line (184A1). A total of 64 (BT474-184A1) and 69 (SKBR3-184A1) proteins were uniquely identified that were differentially expressed by at least 1.5-fold. Pathway inference tools were used to interpret these proteins in terms of functionally enriched pathways in the tumor cell lines. We observed "protein ubiquitination" and "apoptosis signaling" pathways were both enriched in the two breast cancer models while "IGF signaling" and "cell motility" pathways were enriched in BT474 and "amino acid metabolism" were enriched in the SKBR3 cell line. CONCLUSION: While "protein ubiquitination" and "apoptosis signaling" pathways were common to both the cell lines, the observed patterns of protein expression suggest that the evasion of apoptosis in each tumorigenic cell line occurs via different mechanisms. Evidently, apoptosis is regulated in BT474 via down regulation of Bid and in SKBR3 via up regulation of Calpain-11 as compared to 184A1. BioMed Central 2012-02-22 /pmc/articles/PMC3305585/ /pubmed/22357162 http://dx.doi.org/10.1186/1477-5956-10-11 Text en Copyright ©2012 Kulkarni and Klinke; licensee BioMed Central Ltd. http://creativecommons.org/licenses/by/2.0 This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research
Kulkarni, Yogesh M
Klinke, David J
Protein-based identification of quantitative trait loci associated with malignant transformation in two HER2+ cellular models of breast cancer
title Protein-based identification of quantitative trait loci associated with malignant transformation in two HER2+ cellular models of breast cancer
title_full Protein-based identification of quantitative trait loci associated with malignant transformation in two HER2+ cellular models of breast cancer
title_fullStr Protein-based identification of quantitative trait loci associated with malignant transformation in two HER2+ cellular models of breast cancer
title_full_unstemmed Protein-based identification of quantitative trait loci associated with malignant transformation in two HER2+ cellular models of breast cancer
title_short Protein-based identification of quantitative trait loci associated with malignant transformation in two HER2+ cellular models of breast cancer
title_sort protein-based identification of quantitative trait loci associated with malignant transformation in two her2+ cellular models of breast cancer
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3305585/
https://www.ncbi.nlm.nih.gov/pubmed/22357162
http://dx.doi.org/10.1186/1477-5956-10-11
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