Literature DB >> 23968647

Comparison of liquid chromatography-tandem mass spectrometry-based targeted proteomics and conventional analytical methods for the determination of P-glycoprotein in human breast cancer cells.

Ting Yang1, Feifei Xu, Jinhui Xu, Danjun Fang, Ying Yu, Yun Chen.   

Abstract

P-glycoprotein (P-gp) is the most frequently proposed factor for multi-drug resistance. It is traditionally measured using antibody-based methods. While these techniques can provide relative quantification values for P-gp levels, the important information that is usually missing is its amount in the biological system. In this study, a novel and advanced liquid chromatography-tandem mass spectrometry (LC/MS/MS)-based targeted proteomics assay was developed and validated for the determination of P-gp in the breast cancer drug sensitive cell line MCF-7/WT and the drug resistant cell line MCF-7/ADR. Three tryptic peptides (434STTVQLMQR442, 674GSQAQDR680 and 368IIDNKPSIDSYSK380) can specifically represent P-gp. Among these peptides, 434STTVQLMQR442 was selected as the surrogate analyte for quantification, and a stable isotope-labeled synthetic peptide with the same sequence was used as an internal standard. The calibration range was validated from 10 to 1000ng/mL. The intra- and inter-day precisions were within 5.9% and 3.7%, respectively. The accuracy for the quality control (QC) samples was within 8.0%. Using this assay, the amounts of P-gp were accurately quantified as 3.53fg/cell (∼2.08×10(-2)amol/cell) in the MCF-7/WT cells and 34.5fg/cell (∼2.02×10(-1)amol/cell) in the MCF-7/ADR cells. This outcome was then compared with those obtained by conventional analytical methods including confocal microscopy, western blotting and flow cytometry. The comparative results show that not only is the LC/MS/MS-based targeted proteomics assay able to monitor the protein levels in a more accurate manner, but the large discrepancy observed between the other methods was most likely due to the lack of specificity and the semi-quantitative nature of the conventional assays.
Copyright © 2013 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Liquid chromatography–tandem mass spectrometry; Methods comparison; P-glycoprotein; Stable isotope labeling; Targeted proteomics

Mesh:

Substances:

Year:  2013        PMID: 23968647     DOI: 10.1016/j.jchromb.2013.07.023

Source DB:  PubMed          Journal:  J Chromatogr B Analyt Technol Biomed Life Sci        ISSN: 1570-0232            Impact factor:   3.205


  6 in total

1.  Simultaneous and quantitative monitoring transcription factors in human embryonic stem cell differentiation using mass spectrometry-based targeted proteomics.

Authors:  Mengying Xu; Lei Xu; Jianxiang Cao; Yechen Hu; Feifei Xu; Yan Liu; Yun Chen
Journal:  Anal Bioanal Chem       Date:  2021-03-02       Impact factor: 4.142

2.  Quantitation of glutathione S-transferases in rice (Oryza sativa L.) roots exposed to cadmium by liquid chromatography-tandem mass spectrometry using isotope-labeled wing peptides as an internal standard.

Authors:  Zhenzhen Cao; Renxiang Mou; Zhaoyun Cao; Xiaoyan Lin; Youning Ma; Zhiwei Zhu; Mingxue Chen
Journal:  Plant Methods       Date:  2017-08-04       Impact factor: 4.993

3.  Sum of peak intensities outperforms peak area integration in iTRAQ protein expression measurement by LC-MS/MS using a TripleTOF 5600+ platform.

Authors:  Bastien Burat; Julien Gonzalez; François-Ludovic Sauvage; Hassan Aouad; Hélène Arnion; Emilie Pinault; Pierre Marquet; Marie Essig
Journal:  Biosci Rep       Date:  2019-06-07       Impact factor: 3.840

4.  Targeting breast cancer stem cells by a self-assembled, aptamer-conjugated DNA nanotrain with preloading doxorubicin.

Authors:  Zhiyuan Xu; Ronghua Ni; Yun Chen
Journal:  Int J Nanomedicine       Date:  2019-08-27

5.  Proteomic profiling and identification of significant markers from high-grade osteosarcoma after cryotherapy and irradiation.

Authors:  Rashmi Madda; Chao-Ming Chen; Jir-You Wang; Cheng-Fong Chen; Kuang-Yu Chao; Yu-Min Yang; Hsin-Yi Wu; Wei-Ming Chen; Po-Kuei Wu
Journal:  Sci Rep       Date:  2020-02-07       Impact factor: 4.379

6.  Quantitative proteomic analysis of pancreatic cyst fluid proteins associated with malignancy in intraductal papillary mucinous neoplasms.

Authors:  Misol Do; Dohyun Han; Joseph Injae Wang; Hyunsoo Kim; Wooil Kwon; Youngmin Han; Jin-Young Jang; Youngsoo Kim
Journal:  Clin Proteomics       Date:  2018-04-18       Impact factor: 3.988

  6 in total

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