Literature DB >> 21136935

The proteome of the human breast cancer cell line MDA-MB-231: Analysis by LTQ-Orbitrap mass spectrometry.

Vaïk Strande1, Ludovic Canelle, Christophe Tastet, Odile Burlet-Schiltz, Bernard Monsarrat, Hubert Hondermarck.   

Abstract

We have used a combination of SDS-PAGE and LTQ-Orbitrap MS to explore the proteome of the highly invasive MDA-MB-231 breast cancer cell line. Based on about 520 000 MS/MS spectra, a total of 3481 proteins were identified and subsequently classified according to their cellular distribution and molecular function. Interestingly, a large proportion of proteins (38%) were from cellular membranes and we were able to characterize numerous proteins involved in cancer initiation and progression such as the tumor suppressor p53 and the epidermal growth factor receptor. Together, this study represents the largest proteome database of breast cancer cells realized to date and demonstrates the value of using Orbitrap MS for deeper proteome analysis.
Copyright © 2009 WILEY-VCH Verlag GmbH & Co. KGaA, Weinheim.

Entities:  

Year:  2008        PMID: 21136935     DOI: 10.1002/prca.200800083

Source DB:  PubMed          Journal:  Proteomics Clin Appl        ISSN: 1862-8346            Impact factor:   3.494


  4 in total

1.  (18)F, (64)Cu, and (68)Ga labeled RGD-bombesin heterodimeric peptides for PET imaging of breast cancer.

Authors:  Zhaofei Liu; Yongjun Yan; Shuanglong Liu; Fan Wang; Xiaoyuan Chen
Journal:  Bioconjug Chem       Date:  2009-05-20       Impact factor: 4.774

2.  An exploratory study on 99mTc-RGD-BBN peptide scintimammography in the assessment of breast malignant lesions compared to 99mTc-3P4-RGD2.

Authors:  Qianqian Chen; Qingjie Ma; Minglong Chen; Bin Chen; Qiang Wen; Bing Jia; Fan Wang; Butong Sun; Shi Gao
Journal:  PLoS One       Date:  2015-04-07       Impact factor: 3.240

3.  Tumor tissue protein signatures reflect histological grade of breast cancer.

Authors:  Petter Skoog; Mattias Ohlsson; Mårten Fernö; Lisa Rydén; Carl A K Borrebaeck; Christer Wingren
Journal:  PLoS One       Date:  2017-06-26       Impact factor: 3.240

4.  Grading breast cancer tissues using molecular portraits.

Authors:  Niclas Olsson; Petter Carlsson; Peter James; Karin Hansson; Sofia Waldemarson; Per Malmström; Mårten Fernö; Lisa Ryden; Christer Wingren; Carl A K Borrebaeck
Journal:  Mol Cell Proteomics       Date:  2013-08-27       Impact factor: 5.911

  4 in total

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