Literature DB >> 12833528

An approach to the proteomic analysis of a breast cancer cell line (SKBR-3).

Shiaw-Lin Wu1, William S Hancock, Geoffrey G Goodrich, Steven T Kunitake.   

Abstract

This report describes the profiling of proteins in a sample prepared by laser capture microdissection (LCM) from a breast cancer cell line (SKBR-3). This experimental approach serves as a model system for proteomic studies on selected tissue samples and for studies of specific cell types. The captured cells were isolated in a dehydrated and reduced state and solubilized with a denaturing buffer. After dilution the protein mixture was digested with trypsin and the resulting peptide mixture was fractionated by reversed phase HPLC (RPLC) and analyzed on an ion trap mass spectrometer. A key part of this study is the combination of the LCM process with an extraction/digestion procedure that allowed effective solubilization of a significant part of the cellular sample in a single step. The identity of the peptides was determined by tandem mass spectrometry measurements in which the resulting spectra were compared with genomic and proteomic databases and protein identifications were made. While only peptides with a high probability assignment were used, the interpretation of mass spectral fragmentation patterns were also confirmed by manual interpretation of the spectra. Also, for the more abundant proteins the initial protein assignment from the best match peptide was strengthened by the observation of additional confirmatory peptide identifications. Another selection criteria was correlation of the mass spectrometric studies with clinical and genomic studies of potential cancer markers in tumor samples. This proteomic study allowed identification of the following proteins: human receptor protein kinase HER-2 or ERBB-2 and related kinases HER-3 and HER-4, the gene products from breast cancer type I and II susceptibility genes and cytoskeletal components such as cytokeratins 8, 18 and 19. Other proteins include fibroblast growth factor receptor variants (FGFR-2&4) and T-lymphoma invasion and metastasis inducing protein 1 (TIAM1). In addition several nonreceptor protein kinases YES, FAK and JAK-1 and 3 were identified. Since the study was performed on a limited number of cells (approximately 10,000) it raises the possibility of such studies being performed on individual patient samples prepared by needle biopsy.

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Year:  2003        PMID: 12833528     DOI: 10.1002/pmic.200300382

Source DB:  PubMed          Journal:  Proteomics        ISSN: 1615-9853            Impact factor:   3.984


  11 in total

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2.  Comparison of multidimensional shotgun technologies targeting tissue proteomics.

Authors:  Xueping Fang; Brian M Balgley; Weijie Wang; Deric M Park; Cheng S Lee
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3.  Identification of Differential Protein Expression in Hepatocellular Carcinoma Induced Wistar Albino Rats by 2D Electrophoresis and MALDI-TOF-MS Analysis.

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5.  Differences in expression of retinal proteins between diabetic and normal rats.

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Journal:  World J Gastroenterol       Date:  2007-04-14       Impact factor: 5.742

6.  Genome wide proteomics of ERBB2 and EGFR and other oncogenic pathways in inflammatory breast cancer.

Authors:  Emma Yue Zhang; Massimo Cristofanilli; Fredika Robertson; James M Reuben; Zhaomei Mu; Ronald C Beavis; Hogune Im; Michael Snyder; Matan Hofree; Trey Ideker; Gilbert S Omenn; Susan Fanayan; Seul-Ki Jeong; Young-Ki Paik; Anna Fan Zhang; Shiaw-Lin Wu; William S Hancock
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Journal:  Neuro Oncol       Date:  2008-01-08       Impact factor: 12.300

8.  A Catalogue of Altered Salivary Proteins Secondary to Invasive Ductal Carcinoma: A Novel In Vivo Paradigm to Assess Breast Cancer Progression.

Authors:  Charles F Streckfus; Lenora Bigler
Journal:  Sci Rep       Date:  2016-08-01       Impact factor: 4.379

9.  Identification of a putative protein profile associated with tamoxifen therapy resistance in breast cancer.

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Journal:  Mol Cell Proteomics       Date:  2009-03-27       Impact factor: 5.911

10.  Salivary Protein Profiles among HER2/neu-Receptor-Positive and -Negative Breast Cancer Patients: Support for Using Salivary Protein Profiles for Modeling Breast Cancer Progression.

Authors:  Charles F Streckfus; Daniel Arreola; Cynthia Edwards; Lenora Bigler
Journal:  J Oncol       Date:  2012-04-10       Impact factor: 4.375

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