Literature DB >> 12918970

A comparison of drug-treated and untreated HCT-116 human colon adenocarcinoma cells using a 2-D liquid separation mapping method based upon chromatofocusing PI fractionation.

Fang Yan1, Balanehru Subramanian, Alexander Nakeff, Timothy J Barder, Steven J Parus, David M Lubman.   

Abstract

A multidimensional chromatographic 2-D liquid-phase separation method has been developed for differential display of proteins from cell lysates and applied to a comparison of protein expression between Peninsularinone-treated and untreated HCT-116 human colon adenocarcinoma cells. The method involves fractionation according to pI using chromatofocusing with analytical columns in the first dimension followed by separation of the proteins in each pI fraction using nonporous reversed-phase HPLC. A 2-D map of the protein content of each cell line based upon pI versus hydrophobicity as detected by UV absorption was generated and a differential display map indicating the presence of up- or downregulated proteins displayed using ProteoVue and DeltaVue software. Using this method, > 1000 protein bands could be detected in 0.2 pH fractions over a pH range of 4-7. In addition, the liquid eluent from the separation was directed on-line into an electrospray TOF-MS to obtain an accurate molecular weight of the intact proteins. An accurate molecular weight together with the peptide map was used to obtain protein identification using database searching. The method has been shown to have high reproducibility for quantitative differential display analysis of interlysate comparisons, generation of accurate protein identifications, and ease of data interpretation. It has been used herein to identify proteins that change as a function of drug treatment. The relative simplicity of the current procedure and the potential for full automation will make this technique an essential tool in future proteomic studies.

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Year:  2003        PMID: 12918970     DOI: 10.1021/ac020678s

Source DB:  PubMed          Journal:  Anal Chem        ISSN: 0003-2700            Impact factor:   6.986


  9 in total

1.  Proteomic profiling identifies breast tumor metastasis-associated factors in an isogenic model.

Authors:  Paweena Kreunin; Chul Yoo; Virginia Urquidi; David M Lubman; Steve Goodison
Journal:  Proteomics       Date:  2007-01       Impact factor: 3.984

Review 2.  A new paradigm for the development of anticancer agents from natural products.

Authors:  Balanehru Subramanian; Alexander Nakeff; Karen Tenney; Phillip Crews; Leslie Gunatilaka; Fred Valeriote
Journal:  J Exp Ther Oncol       Date:  2006

3.  Micro-proteome analysis using micro-chromatofocusing in intact protein separations.

Authors:  Hyeyeung Kim; David M Lubman
Journal:  J Chromatogr A       Date:  2008-03-27       Impact factor: 4.759

Review 4.  Proteomics and the analysis of proteomic data: an overview of current protein-profiling technologies.

Authors:  Erol E Gulcicek; Christopher M Colangelo; Walter McMurray; Kathryn Stone; Kenneth Williams; Terence Wu; Hongyu Zhao; Heidi Spratt; Alexander Kurosky; Baolin Wu
Journal:  Curr Protoc Bioinformatics       Date:  2005-07

5.  Comparison of two-dimensional fractionation techniques for shotgun proteomics.

Authors:  James A Dowell; Dustin C Frost; Jiang Zhang; Lingjun Li
Journal:  Anal Chem       Date:  2008-08-05       Impact factor: 6.986

6.  The utilization of Triton X-100 for enhanced two-dimensional liquid-phase proteomics.

Authors:  Mina Kim; Sang-Hee Lee; Jiho Min; Fumihisa Kobayashi; Hyun-Ju Um; Yang-Hoon Kim
Journal:  J Biomed Biotechnol       Date:  2011-10-16

7.  Proteome-level display by 2-dimensional chromatography of extracellular matrix-dependent modulation of the phenotype of bladder cancer cells.

Authors:  Robert E Hurst; Kimberly D Kyker; Mikhail G Dozmorov; Nobuaki Takemori; Anil Singh; Hiroyuki Matsumoto; Ricardo Saban; Edna Betgovargez; Michael H Simonian
Journal:  Proteome Sci       Date:  2006-06-02       Impact factor: 2.480

Review 8.  Quantitative mass spectrometry-based techniques for clinical use: biomarker identification and quantification.

Authors:  Kathryn L Simpson; Anthony D Whetton; Caroline Dive
Journal:  J Chromatogr B Analyt Technol Biomed Life Sci       Date:  2008-11-18       Impact factor: 3.205

9.  Multidimensional protein fractionation using ProteomeLab PF 2D for profiling amyotrophic lateral sclerosis immunity: A preliminary report.

Authors:  Joshua D Schlautman; Wojciech Rozek; Robert Stetler; R Lee Mosley; Howard E Gendelman; Pawel Ciborowski
Journal:  Proteome Sci       Date:  2008-09-12       Impact factor: 2.480

  9 in total

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