Literature DB >> 14997480

A two-dimensional liquid-phase separation method coupled with mass spectrometry for proteomic studies of breast cancer and biomarker identification.

Rick L Hamler1, Kan Zhu, Nathan S Buchanan, Paweena Kreunin, Maureen T Kachman, Fred R Miller, David M Lubman.   

Abstract

A two-dimensional liquid-phase separation scheme coupled with mass spectrometry (MS) is presented for proteomic analysis of cell lysates from normal and malignant breast epithelial cell lines. Liquid-phase separations consist of isoelectric focusing as the first dimension and nonporous silica reverse-phase high-performance liquid chromatography (NPS-RP-HPLC) as the second dimension. Protein quantitation and mass measurement are performed using electrospray ionization-time of flight MS (ESI-TOF MS). Proteins are identified by peptide mass fingerprinting using matrix-assisted laser desorption ionization-time of flight MS (MALDI-TOF MS) and MALDI-quadrupole time of flight (QTOF)-tandem mass spectrometry (MS/MS). Two pH regions with 50-60 unique proteins in each pH range were chosen for analysis. Mass maps were created that allowed visualization of protein quantitation differences between normal and malignant breast epithelial cells. Of the approximately 110 unique proteins observed from mass mapping experiments over the limited pH range, 40 (36%) were positively identified by peptide mass fingerprinting and assigned to bands in the mass maps. Of these 40 proteins, 22 were more highly expressed in one or more of the malignant cell lines. These proteins represent potential breast cancer biomarkers that could aid in diagnosis, therapy, or drug development.

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Year:  2004        PMID: 14997480     DOI: 10.1002/pmic.200300606

Source DB:  PubMed          Journal:  Proteomics        ISSN: 1615-9853            Impact factor:   3.984


  20 in total

1.  Identifying new PCR targets for pathogenic bacteria using top-down LC/MS protein discovery.

Authors:  Tracie L Williams; Steven R Monday; Peter C H Feng; Steven M Musser
Journal:  J Biomol Tech       Date:  2005-06

2.  Comprehensive analysis of proteins of pH fractionated samples using monolithic LC/MS/MS, intact MW measurement and MALDI-QIT-TOF MS.

Authors:  Chul Yoo; Tasneem H Patwa; Paweena Kreunin; Fred R Miller; Christian G Huber; Alexey I Nesvizhskii; David M Lubman
Journal:  J Mass Spectrom       Date:  2007-03       Impact factor: 1.982

3.  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

4.  Differential expression of ribosomal proteins in a human metastasis model identified by coupling 2-D liquid chromatography and mass spectrometry.

Authors:  Paweena Kreunin; Chul Yoo; Virginia Urquidi; David M Lubman; Steve Goodison
Journal:  Cancer Genomics Proteomics       Date:  2007 Sep-Oct       Impact factor: 4.069

Review 5.  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

6.  Comparative proteomic analysis of low stage and high stage endometrioid ovarian adenocarcinomas.

Authors:  Hyeyeung Kim; Rong Wu; Kathleen R Cho; Dafydd G Thomas; Gabrielle Gossner; J Rebecca Liu; Thomas J Giordano; Kerby A Shedden; David E Misek; David M Lubman
Journal:  Proteomics Clin Appl       Date:  2008-03-07       Impact factor: 3.494

Review 7.  Proteomic analysis in cancer research: potential application in clinical use.

Authors:  Jesús García-Foncillas; Eva Bandrés; Ruth Zárate; Natalia Remírez
Journal:  Clin Transl Oncol       Date:  2006-04       Impact factor: 3.405

8.  Methodology and applications of disease biomarker identification in human serum.

Authors:  Ziad J Sahab; Suzan M Semaan; Qing-Xiang Amy Sang
Journal:  Biomark Insights       Date:  2007-02-14

Review 9.  Breast tumor metastasis: analysis via proteomic profiling.

Authors:  Steve Goodison; Virginia Urquidi
Journal:  Expert Rev Proteomics       Date:  2008-06       Impact factor: 3.940

10.  Prion disease diagnosis by proteomic profiling.

Authors:  Allen Herbst; Sean McIlwain; Joshua J Schmidt; Judd M Aiken; C David Page; Lingjun Li
Journal:  J Proteome Res       Date:  2009-02       Impact factor: 4.466

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