Literature DB >> 17022634

Quantification of membrane and membrane-bound proteins in normal and malignant breast cancer cells isolated from the same patient with primary breast carcinoma.

Xiquan Liang1, Jenson Zhao, Mahbod Hajivandi, Rina Wu, Janet Tao, Joseph W Amshey, R Marshall Pope.   

Abstract

More than 50% of all major drug targets are membrane proteins, and their role in cell-cell interaction and signal transduction is a vital concern. By culturing normal and malignant breast cancer cells with light or heavy isotopes of amino acids (SILAC), followed by cell fractionation, 1D gel separation of crude membrane proteins, and analysis of the digests using nanoelectrospray LC-MS/MS, we have quantified 1600 gene products that group into 997 protein families with approximately 830 membrane or membrane-associated proteins; 100 unknown, unnamed, or hypothetical proteins; and 65 protein families classified as ribosomal, heat shock, or histone proteins. A number of proteins show increased expression levels in malignant breast cancer cells, such as autoantigen p542, osteoblast-specific factor 2 (OSF-2), 4F2 heavy chain antigen, 34 kDa nucleolar scleroderma antigen, and apoptosis inhibitor 5. The expression of other proteins, such as membrane alanine aminopeptidase (CD13), epididymal protein, macroglobulin alpha2, PZP_HUMAN, and transglutaminase C, decreased in malignant breast cancer cells, whereas the majority of proteins remained unchanged when compared to the corresponding nonmalignant samples. Downregulation of CD13 and upregulation of OSF-2 were confirmed by immunohistochemistry using human tissue arrays with breast carcinomas. Furthermore, at least half the gene products displaying an expression change of 5-fold or higher have been described previously in the literature as having an association with cancerous malignancy. These results indicate that SILAC is a powerful technique that can be extended to the discovery of membrane-bound antigens that may be used to phenotype diseased cells.

Entities:  

Mesh:

Substances:

Year:  2006        PMID: 17022634     DOI: 10.1021/pr060125o

Source DB:  PubMed          Journal:  J Proteome Res        ISSN: 1535-3893            Impact factor:   4.466


  20 in total

1.  Quantitative proteomics analysis reveals molecular networks regulated by epidermal growth factor receptor level in head and neck cancer.

Authors:  Wei Yang; Quan Cai; Vivian W Y Lui; Patrick A Everley; Jayoung Kim; Neil Bhola; Kelly M Quesnelle; Bruce R Zetter; Hanno Steen; Michael R Freeman; Jennifer R Grandis
Journal:  J Proteome Res       Date:  2010-06-04       Impact factor: 4.466

2.  Separation of biological proteins by liquid chromatography.

Authors:  Imran Ali; Hassan Y Aboul-Enein; Prashant Singh; Rakesh Singh; Bhavtosh Sharma
Journal:  Saudi Pharm J       Date:  2010-02-13       Impact factor: 4.330

3.  Quantitative analysis of surface plasma membrane proteins of primary and metastatic melanoma cells.

Authors:  Haibo Qiu; Yinsheng Wang
Journal:  J Proteome Res       Date:  2008-04-15       Impact factor: 4.466

4.  Prognostic value of matrix metalloproteinase-2 (MMP-2), matrix metalloproteinase-9 (MMP-9) and aminopeptidase N/CD13 in breast cancer patients.

Authors:  Irena Ranogajec; Jasminka Jakić-Razumović; Velibor Puzović; Jelka Gabrilovac
Journal:  Med Oncol       Date:  2011-05-25       Impact factor: 3.064

Review 5.  Plasma membrane proteomics and its application in clinical cancer biomarker discovery.

Authors:  Rikke Leth-Larsen; Rikke R Lund; Henrik J Ditzel
Journal:  Mol Cell Proteomics       Date:  2010-04-08       Impact factor: 5.911

6.  The proteome signature of the inflammatory breast cancer plasma membrane identifies novel molecular markers of disease.

Authors:  Ivette J Suárez-Arroyo; Yismeilin R Feliz-Mosquea; Juliana Pérez-Laspiur; Rezina Arju; Shah Giashuddin; Gerónimo Maldonado-Martínez; Luis A Cubano; Robert J Schneider; Michelle M Martínez-Montemayor
Journal:  Am J Cancer Res       Date:  2016-08-01       Impact factor: 6.166

7.  Proteomic Profiling of a Biomimetic Drug Delivery Platform.

Authors:  Claudia Corbo; Alessandro Parodi; Michael Evangelopoulos; David A Engler; Rise K Matsunami; Anthony C Engler; Roberto Molinaro; Shilpa Scaria; Francesco Salvatore; Ennio Tasciotti
Journal:  Curr Drug Targets       Date:  2015       Impact factor: 3.465

Review 8.  Cancer secretomics reveal pathophysiological pathways in cancer molecular oncology.

Authors:  George S Karagiannis; Maria P Pavlou; Eleftherios P Diamandis
Journal:  Mol Oncol       Date:  2010-09-16       Impact factor: 6.603

9.  Quantitative comparison of IMAC and TiO2 surfaces used in the study of regulated, dynamic protein phosphorylation.

Authors:  Xiquan Liang; Geir Fonnum; Mahbod Hajivandi; Torkel Stene; Nini H Kjus; Erlend Ragnhildstveit; Joseph W Amshey; Paul Predki; R Marshall Pope
Journal:  J Am Soc Mass Spectrom       Date:  2007-08-14       Impact factor: 3.109

10.  Membrane proteomic analysis of pancreatic cancer cells.

Authors:  Xiaojun Liu; Min Zhang; Vay Liang W Go; Shen Hu
Journal:  J Biomed Sci       Date:  2010-09-13       Impact factor: 8.410

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.