Literature DB >> 20730509

Proteomic analysis in multiple myeloma research.

Jana Cumova1, Anna Potacova, Zbynek Zdrahal, Roman Hajek.   

Abstract

Multiple myeloma (MM) is an incurable plasma cell (PC) malignancy characterized by the accumulation of monoclonal PCs in the bone marrow. For deeper understanding of the molecular mechanisms involved in the development of this disease, the influence of microenvironment, or the prediction of response of tumor PCs to anti-MM treatment, it is possible to use modern technologies for genomic and proteomic analyses. Due to progress in instrumentation, one of the main tools of proteomic analysis is mass spectrometry in combination with chosen separation techniques. This review will provide a short survey of the most commonly used proteomic techniques and show examples of their applications in MM proteome studies.

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Year:  2011        PMID: 20730509     DOI: 10.1007/s12033-010-9326-x

Source DB:  PubMed          Journal:  Mol Biotechnol        ISSN: 1073-6085            Impact factor:   2.695


  74 in total

Review 1.  Protein identification by mass spectrometry: issues to be considered.

Authors:  Michael A Baldwin
Journal:  Mol Cell Proteomics       Date:  2003-11-06       Impact factor: 5.911

Review 2.  Methods for samples preparation in proteomic research.

Authors:  Anna Bodzon-Kulakowska; Anna Bierczynska-Krzysik; Tomasz Dylag; Anna Drabik; Piotr Suder; Marek Noga; Justyna Jarzebinska; Jerzy Silberring
Journal:  J Chromatogr B Analyt Technol Biomed Life Sci       Date:  2006-11-20       Impact factor: 3.205

3.  Investigation of an albumin-enriched fraction of human serum and its albuminome.

Authors:  Rebekah L Gundry; Qin Fu; Christine A Jelinek; Jennifer E Van Eyk; Robert J Cotter
Journal:  Proteomics Clin Appl       Date:  2007-01-01       Impact factor: 3.494

Review 4.  Mass-spectrometry-based clinical proteomics--a review and prospective.

Authors:  Carol E Parker; Terry W Pearson; N Leigh Anderson; Christoph H Borchers
Journal:  Analyst       Date:  2010-06-02       Impact factor: 4.616

5.  Quantitative phosphoproteomics applied to the yeast pheromone signaling pathway.

Authors:  Albrecht Gruhler; Jesper V Olsen; Shabaz Mohammed; Peter Mortensen; Nils J Faergeman; Matthias Mann; Ole N Jensen
Journal:  Mol Cell Proteomics       Date:  2005-01-22       Impact factor: 5.911

6.  Direct analysis of protein complexes using mass spectrometry.

Authors:  A J Link; J Eng; D M Schieltz; E Carmack; G J Mize; D R Morris; B M Garvik; J R Yates
Journal:  Nat Biotechnol       Date:  1999-07       Impact factor: 54.908

7.  Tumor classification by partial least squares using microarray gene expression data.

Authors:  Danh V Nguyen; David M Rocke
Journal:  Bioinformatics       Date:  2002-01       Impact factor: 6.937

8.  Chondroitin synthase 1 is a key molecule in myeloma cell-osteoclast interactions.

Authors:  Larry Yin
Journal:  J Biol Chem       Date:  2004-10-13       Impact factor: 5.157

Review 9.  Strategies for analysis of the glycosylation of proteins: current status and future perspectives.

Authors:  Susan A Brooks
Journal:  Mol Biotechnol       Date:  2009-06-09       Impact factor: 2.695

Review 10.  Multiple myeloma: a prototypic disease model for the characterization and therapeutic targeting of interactions between tumor cells and their local microenvironment.

Authors:  Constantine S Mitsiades; Nicholas S Mitsiades; Paul G Richardson; Nikhil C Munshi; Kenneth C Anderson
Journal:  J Cell Biochem       Date:  2007-07-01       Impact factor: 4.429

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  6 in total

1.  Proteomic analysis for finding serum pathogenic factors and potential biomarkers in multiple myeloma.

Authors:  Hong-Tao Zhang; En-Bing Tian; Yu-Ling Chen; Hai-Teng Deng; Qing-Tao Wang
Journal:  Chin Med J (Engl)       Date:  2015-04-20       Impact factor: 2.628

2.  Proteomic Alterations in Multiple Myeloma: A Comprehensive Study Using Bone Marrow Interstitial Fluid and Serum Samples.

Authors:  Venkatesh Chanukuppa; Ravindra Taware; Khushman Taunk; Tathagat Chatterjee; Sanjeevan Sharma; Venkatesan Somasundaram; Faraz Rashid; Dipankar Malakar; Manas K Santra; Srikanth Rapole
Journal:  Front Oncol       Date:  2021-01-29       Impact factor: 6.244

3.  The clinical value of the quantitative detection of four cancer-testis antigen genes in multiple myeloma.

Authors:  Yao Zhang; Li Bao; Jin Lu; Kai-Yan Liu; Jin-Lan Li; Ya-Zhen Qin; Huan Chen; Ling-Di Li; Yuan Kong; Hong-Xia Shi; Yue-Yun Lai; Yan-Rong Liu; Bin Jiang; Shan-Shan Chen; Xiao-Jun Huang; Guo-Rui Ruan
Journal:  Mol Cancer       Date:  2014-02-05       Impact factor: 27.401

Review 4.  Proteomics approaches for the studies of bone metabolism.

Authors:  Ji-Hyun Lee; Je-Yoel Cho
Journal:  BMB Rep       Date:  2014-03       Impact factor: 4.778

5.  Multiple myeloma cell lines and primary tumors proteoma: protein biosynthesis and immune system as potential therapeutic targets.

Authors:  Rodrigo Carlini Fernando; Fabricio de Carvalho; Diego Robles Mazzotti; Adriane Feijó Evangelista; Walter Moisés Tobias Braga; Maria de Lourdes Chauffaille; Adriana Franco Paes Leme; Gisele Wally Braga Colleoni
Journal:  Genes Cancer       Date:  2015-11

6.  MALDI-TOF analysis of blood serum proteome can predict the presence of monoclonal gammopathy of undetermined significance.

Authors:  Francisca Barceló; Rosa Gomila; Ivan de Paul; Xavier Gili; Jaume Segura; Albert Pérez-Montaña; Teresa Jimenez-Marco; Antonia Sampol; José Portugal
Journal:  PLoS One       Date:  2018-08-02       Impact factor: 3.240

  6 in total

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