Literature DB >> 15253420

Highly altered protein expression profile in the adriamycin resistant MCF-7 cell line.

Marion L Gehrmann1, Catherine Fenselau, Yetrib Hathout.   

Abstract

The protein expression pattern in the cytosol fraction of the adriamycin resistant MCF-7 cell line (MCF-7/ADR) was compared to that of the parental MCF-7 cell line using two-dimensional gel electrophoresis and mass spectrometry. Twenty proteins with altered abundances were identified and studied in MCF-7/ADR. Both up regulation and down regulation are characterized. The most striking differences were found for proteins that were uniquely expressed in this cell line and not detectable in the parental MCF-7 cell line. These proteins include annexin I, the neuronal ubiquitin carboxyl hydrolase isoenzyme L-1 (also known as PGP9.5), glutathione-S-transferase pi class, nicotinamide N-methyltransferase, and interleukin-18 precursor. On the other hand, catechol-O-methyltransferase was expressed in the parental cell line, but was not detected in the adriamycin resistant cell line. This protein expression pattern was unique to MCF-7/ADR and not observed in MCF-7 cell lines selected for resistant to etoposide, mitoxantrone or melphalan.

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Year:  2004        PMID: 15253420     DOI: 10.1021/pr0340577

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


  11 in total

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2.  Analysis of defective protein ubiquitylation associated to adriamycin resistant cells.

Authors:  Valérie Lang; Fabienne Aillet; Wendy Xolalpa; Sonia Serna; Laurie Ceccato; Rosa G Lopez-Reyes; Maria Paz Lopez-Mato; Radosław Januchowski; Niels-Christian Reichardt; Manuel S Rodriguez
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3.  Proteomic analysis of cisplatin resistance in human ovarian cancer using 2-DE method.

Authors:  Fengming Gong; Xingchen Peng; Zhi Zeng; Ming Yu; Yuwei Zhao; Aiping Tong
Journal:  Mol Cell Biochem       Date:  2010-11-16       Impact factor: 3.396

4.  14-3-3sigma, the double-edged sword of human cancers.

Authors:  Zhaomin Li; Jing-Yuan Liu; Jian-Ting Zhang
Journal:  Am J Transl Res       Date:  2009-06-08       Impact factor: 4.060

Review 5.  Use of comparative proteomics to identify potential resistance mechanisms in cancer treatment.

Authors:  Jian-Ting Zhang; Yang Liu
Journal:  Cancer Treat Rev       Date:  2007-09-12       Impact factor: 12.111

6.  A human ribonuclease induces apoptosis associated with p21WAF1/CIP1 induction and JNK inactivation.

Authors:  Jessica Castro; Marc Ribó; Susanna Navarro; Maria Victòria Nogués; Maria Vilanova; Antoni Benito
Journal:  BMC Cancer       Date:  2011-01-11       Impact factor: 4.430

7.  Identification of the metabolic alterations associated with the multidrug resistant phenotype in cancer and their intercellular transfer mediated by extracellular vesicles.

Authors:  Vanessa Lopes-Rodrigues; Alessio Di Luca; Justyna Mleczko; Paula Meleady; Michael Henry; Milica Pesic; Diana Cabrera; Sebastiaan van Liempd; Raquel T Lima; Robert O'Connor; Juan M Falcon-Perez; M Helena Vasconcelos
Journal:  Sci Rep       Date:  2017-03-17       Impact factor: 4.379

8.  A proteomic analysis of chemoresistance development via sequential treatment with doxorubicin reveals novel players in MCF‑7 breast cancer cells.

Authors:  Ann-Katrin Sommer; Adam Hermawan; Bojan Ljepoja; Thomas Fröhlich; Georg J Arnold; Ernst Wagner; Andreas Roidl
Journal:  Int J Mol Med       Date:  2018-07-18       Impact factor: 4.101

9.  Identification of proteins responsible for adriamycin resistance in breast cancer cells using proteomics analysis.

Authors:  Zhipeng Wang; Shuang Liang; Xin Lian; Lei Liu; Shu Zhao; Qijia Xuan; Li Guo; Hang Liu; Yuguang Yang; Tieying Dong; Yanchen Liu; Zhaoliang Liu; Qingyuan Zhang
Journal:  Sci Rep       Date:  2015-03-30       Impact factor: 4.996

10.  Down-regulation of nicotinamide N-methyltransferase induces apoptosis in human breast cancer cells via the mitochondria-mediated pathway.

Authors:  Jun Zhang; Yanzhong Wang; Guiling Li; Haitao Yu; Xinyou Xie
Journal:  PLoS One       Date:  2014-02-18       Impact factor: 3.240

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