Literature DB >> 22982362

An ion-current-based, comprehensive and reproducible proteomic strategy for comparative characterization of the cellular responses to novel anti-cancer agents in a prostate cell model.

Chengjian Tu1,2, Jun Li1,2, Yahao Bu3, David Hangauer3, Jun Qu1,2.   

Abstract

Proteome-level investigation of the molecular targets in anticancer action of promising pharmaceutical candidates is highly desirable but remains challenging due to the insufficient proteome coverage, limited capacity for biological replicates, and largely unregulated false positive biomarker discovery of current methods. This study described a practical platform strategy to address these challenges, using comparison of drug response proteomic signatures by two promising anti-cancer agents (KX01/KX02) as the model system for method development/optimization. Drug-treated samples were efficiently extracted followed by precipitation/on-pellet-digestion procedure that provides high, reproducible peptide recovery. High-resolution separations were performed on a 75-cm-long, heated nano-LC column with a 7-h gradient, with a highly reproducible nano-LC/nanospray configuration. An LTQ Orbitrap hybrid mass spectrometer with a charge overfilling approach to enhance sensitivity was used for detection. Analytical procedures were optimized and well-controlled to achieve high run-to-run reproducibility that permits numerous replicates in one set, and an ion-current-based approach was utilized for quantification. The false positives of biomarker discovery arising from technical variability was controlled based on FBDR measurement by comparing biomarker numbers in each drug-treated group vs. "sham samples", which were analyzed in an order randomly interleaved with the analysis drug-treated samples. More than 1500 unique protein groups were quantified under stringent criteria, and of which about 30% displayed differential expression with FBDR of 0.3-2.1% across groups. Comparison of drug-response proteomic signatures and the subsequent immunoassay revealed that the action mechanisms of KX01/KX02 are similar but significantly different from vinblastine, which correlates well with clinical and pre-clinical observations. Furthermore, the results strongly supported the hypothesis that KX01/KX02 are dual-action agents (through inhibition of tubulin and Src). Moreover, informative insights into the drug-actions on cell cycle, growth/proliferation, and apoptosis were obtained. This platform technology provides extensive evaluation of drug candidates and facilitates in-depth mechanism studies.
Copyright © 2012 Elsevier B.V. All rights reserved.

Entities:  

Mesh:

Substances:

Year:  2012        PMID: 22982362      PMCID: PMC4073256          DOI: 10.1016/j.jprot.2012.08.020

Source DB:  PubMed          Journal:  J Proteomics        ISSN: 1874-3919            Impact factor:   4.044


  64 in total

1.  Accurate quantitation of protein expression and site-specific phosphorylation.

Authors:  Y Oda; K Huang; F R Cross; D Cowburn; B T Chait
Journal:  Proc Natl Acad Sci U S A       Date:  1999-06-08       Impact factor: 11.205

2.  Mass spectrometric discovery and selective reaction monitoring (SRM) of putative protein biomarker candidates in first trimester Trisomy 21 maternal serum.

Authors:  Mary F Lopez; Ramesh Kuppusamy; David A Sarracino; Amol Prakash; Michael Athanas; Bryan Krastins; Taha Rezai; Jennifer N Sutton; Scott Peterman; Kypros Nicolaides
Journal:  J Proteome Res       Date:  2010-06-04       Impact factor: 4.466

3.  Options and considerations when selecting a quantitative proteomics strategy.

Authors:  Bruno Domon; Ruedi Aebersold
Journal:  Nat Biotechnol       Date:  2010-07-09       Impact factor: 54.908

4.  Search for cancer markers from endometrial tissues using differentially labeled tags iTRAQ and cICAT with multidimensional liquid chromatography and tandem mass spectrometry.

Authors:  Leroi DeSouza; Georg Diehl; Mary Joe Rodrigues; Jingzhong Guo; Alexander D Romaschin; Terence J Colgan; K W Michael Siu
Journal:  J Proteome Res       Date:  2005 Mar-Apr       Impact factor: 4.466

Review 5.  Protein biomarker discovery and validation: the long and uncertain path to clinical utility.

Authors:  Nader Rifai; Michael A Gillette; Steven A Carr
Journal:  Nat Biotechnol       Date:  2006-08       Impact factor: 54.908

6.  Predicting cancer drug response by proteomic profiling.

Authors:  Yan Ma; Zhenyu Ding; Yong Qian; Xianglin Shi; Vince Castranova; E James Harner; Lan Guo
Journal:  Clin Cancer Res       Date:  2006-08-01       Impact factor: 12.531

7.  Gene expression signature-based chemical genomic prediction identifies a novel class of HSP90 pathway modulators.

Authors:  Haley Hieronymus; Justin Lamb; Kenneth N Ross; Xiao P Peng; Cristina Clement; Anna Rodina; Maria Nieto; Jinyan Du; Kimberly Stegmaier; Srilakshmi M Raj; Katherine N Maloney; Jon Clardy; William C Hahn; Gabriela Chiosis; Todd R Golub
Journal:  Cancer Cell       Date:  2006-09-28       Impact factor: 31.743

8.  KX-01, a novel Src kinase inhibitor directed toward the peptide substrate site, synergizes with tamoxifen in estrogen receptor α positive breast cancer.

Authors:  Muralidharan Anbalagan; Latonya Carrier; Seth Glodowski; David Hangauer; Bin Shan; Brian G Rowan
Journal:  Breast Cancer Res Treat       Date:  2011-04-21       Impact factor: 4.872

9.  Experimental and statistical considerations to avoid false conclusions in proteomics studies using differential in-gel electrophoresis.

Authors:  Natasha A Karp; Paul S McCormick; Matthew R Russell; Kathryn S Lilley
Journal:  Mol Cell Proteomics       Date:  2007-05-17       Impact factor: 5.911

10.  S100A6 (Calcyclin) is a prostate basal cell marker absent in prostate cancer and its precursors.

Authors:  I Rehman; S S Cross; A-R Azzouzi; J W F Catto; J C Deloulme; S Larre; J Champigneuille; G Fromont; O Cussenot; F C Hamdy
Journal:  Br J Cancer       Date:  2004-08-16       Impact factor: 7.640

View more
  17 in total

1.  A Survey of the Impact of Deyolking on Biological Processes Covered by Shotgun Proteomic Analyses of Zebrafish Embryos.

Authors:  Fatima Rahlouni; Szabolcs Szarka; Vladimir Shulaev; Laszlo Prokai
Journal:  Zebrafish       Date:  2015-10-06       Impact factor: 1.985

2.  Long-gradient separations coupled with selected reaction monitoring for highly sensitive, large scale targeted protein quantification in a single analysis.

Authors:  Tujin Shi; Thomas L Fillmore; Yuqian Gao; Rui Zhao; Jintang He; Athena A Schepmoes; Carrie D Nicora; Chaochao Wu; Justin L Chambers; Ronald J Moore; Jacob Kagan; Sudhir Srivastava; Alvin Y Liu; Karin D Rodland; Tao Liu; David G Camp; Richard D Smith; Wei-Jun Qian
Journal:  Anal Chem       Date:  2013-09-19       Impact factor: 6.986

Review 3.  Quantitative proteomics in cardiovascular research: global and targeted strategies.

Authors:  Xiaomeng Shen; Rebeccah Young; John M Canty; Jun Qu
Journal:  Proteomics Clin Appl       Date:  2014-07-14       Impact factor: 3.494

4.  Tandem analysis of transcriptome and proteome changes after a single dose of corticosteroid: a systems approach to liver function in pharmacogenomics.

Authors:  Kubra Kamisoglu; Siddharth Sukumaran; Eslam Nouri-Nigjeh; Chengjian Tu; Jun Li; Xiaomeng Shen; Xiaotao Duan; Jun Qu; Richard R Almon; Debra C DuBois; William J Jusko; Ioannis P Androulakis
Journal:  OMICS       Date:  2015-01-22

5.  Quantitative proteomic profiling of paired cancerous and normal colon epithelial cells isolated freshly from colorectal cancer patients.

Authors:  Chengjian Tu; Wilfrido Mojica; Robert M Straubinger; Jun Li; Shichen Shen; Miao Qu; Lei Nie; Rick Roberts; Bo An; Jun Qu
Journal:  Proteomics Clin Appl       Date:  2017-01-20       Impact factor: 3.494

6.  Experimental Null Method to Guide the Development of Technical Procedures and to Control False-Positive Discovery in Quantitative Proteomics.

Authors:  Xiaomeng Shen; Qiang Hu; Jun Li; Jianmin Wang; Jun Qu
Journal:  J Proteome Res       Date:  2015-09-01       Impact factor: 4.466

7.  Large-scale, ion-current-based proteomics investigation of bronchoalveolar lavage fluid in chronic obstructive pulmonary disease patients.

Authors:  Chengjian Tu; Manoj Jacob Mammen; Jun Li; Xiaomeng Shen; Xiaosheng Jiang; Qiang Hu; Jianmin Wang; Sanjay Sethi; Jun Qu
Journal:  J Proteome Res       Date:  2013-12-02       Impact factor: 4.466

Review 8.  The clinical impact of recent advances in LC-MS for cancer biomarker discovery and verification.

Authors:  Hui Wang; Tujin Shi; Wei-Jun Qian; Tao Liu; Jacob Kagan; Sudhir Srivastava; Richard D Smith; Karin D Rodland; David G Camp
Journal:  Expert Rev Proteomics       Date:  2015-12-19       Impact factor: 3.940

9.  Ion-current-based proteomic profiling of the retina in a rat model of Smith-Lemli-Opitz syndrome.

Authors:  Chengjian Tu; Jun Li; Xiaosheng Jiang; Lowell G Sheflin; Bruce A Pfeffer; Matthew Behringer; Steven J Fliesler; Jun Qu
Journal:  Mol Cell Proteomics       Date:  2013-08-26       Impact factor: 5.911

10.  Systematic assessment of survey scan and MS2-based abundance strategies for label-free quantitative proteomics using high-resolution MS data.

Authors:  Chengjian Tu; Jun Li; Quanhu Sheng; Ming Zhang; Jun Qu
Journal:  J Proteome Res       Date:  2014-03-24       Impact factor: 4.466

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.