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

<p>Abstract</p> <p>Background</p> <p>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 un...

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Main Authors: Kulkarni Yogesh M, Klinke David J
Format: Article
Language:English
Published: BMC 2012-02-01
Series:Proteome Science
Subjects:
Online Access:http://www.proteomesci.com/content/10/1/11
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spelling doaj-a6f812364cf04e7aa6241475dc5ea1502020-11-25T00:25:44ZengBMCProteome Science1477-59562012-02-011011110.1186/1477-5956-10-11Protein-based identification of quantitative trait loci associated with malignant transformation in two HER2+ cellular models of breast cancerKulkarni Yogesh MKlinke David J<p>Abstract</p> <p>Background</p> <p>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.</p> <p>Results</p> <p>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.</p> <p>Conclusion</p> <p>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.</p> http://www.proteomesci.com/content/10/1/11MALDI-TOF MSProteomicsBreast cancerMalignant transformationTwo dimensional gel electrophoresisIngenuity pathway analysis
collection DOAJ
language English
format Article
sources DOAJ
author Kulkarni Yogesh M
Klinke David J
spellingShingle 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
Proteome Science
MALDI-TOF MS
Proteomics
Breast cancer
Malignant transformation
Two dimensional gel electrophoresis
Ingenuity pathway analysis
author_facet Kulkarni Yogesh M
Klinke David J
author_sort Kulkarni Yogesh M
title 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_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_sort protein-based identification of quantitative trait loci associated with malignant transformation in two her2+ cellular models of breast cancer
publisher BMC
series Proteome Science
issn 1477-5956
publishDate 2012-02-01
description <p>Abstract</p> <p>Background</p> <p>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.</p> <p>Results</p> <p>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.</p> <p>Conclusion</p> <p>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.</p>
topic MALDI-TOF MS
Proteomics
Breast cancer
Malignant transformation
Two dimensional gel electrophoresis
Ingenuity pathway analysis
url http://www.proteomesci.com/content/10/1/11
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