Literature DB >> 19527137

Multidimensional protein identification technology for clinical proteomic analysis.

Pierluigi Mauri1, Michaela Scigelova.   

Abstract

Proteomics technologies demonstrate enormous data-gathering capabilities to discover disease-specific biomarkers in serum, plasma, urine, tissue and other biological samples. The traditional way to achieve this consists of protein separation performed using two-dimensional polyacrylamide gel electrophoresis (2DE). However, the 2DE approach has its drawbacks with respect to automation, sensitivity, and throughput. Considerable efforts have been devoted to the development of non-gel-based proteome separation technologies able to resolve complex protein and peptide mixtures prior to mass spectrometric (MS) analysis. This review discusses some of the most recent advances in multidimensional peptide separation techniques compatible with MS analysis, including gel electrophoresis, isoelectric focusing, capillary electrophoresis and liquid chromatography techniques. Based on future perspectives and our experiences, special attention is given to the application of two-dimensional chromatographic separation coupled to MS, the so-called multidimensional protein identification technology approach.

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Year:  2009        PMID: 19527137     DOI: 10.1515/CCLM.2009.165

Source DB:  PubMed          Journal:  Clin Chem Lab Med        ISSN: 1434-6621            Impact factor:   3.694


  12 in total

1.  Detection of pancreatic cancer using serum protein profiling.

Authors:  Berit Velstra; Bert A Bonsing; Bart J Mertens; Yuri E M van der Burgt; Anouck Huijbers; Hans Vasen; Wilma E Mesker; André M Deelder; Rob A E M Tollenaar
Journal:  HPB (Oxford)       Date:  2012-11-30       Impact factor: 3.647

Review 2.  Blood-based biomarkers of Alzheimer's disease: challenging but feasible.

Authors:  Madhav Thambisetty; Simon Lovestone
Journal:  Biomark Med       Date:  2010-02       Impact factor: 2.851

3.  Plasma exosomes characterization reveals a perioperative protein signature in older patients undergoing different types of on-pump cardiac surgery.

Authors:  Alessandro Carrozzo; Valentina Casieri; Dario Di Silvestre; Francesca Brambilla; Emanuele De Nitto; Nicola Sardaro; Gaia Papini; Simona Storti; Giuseppina Settanni; Marco Solinas; Pierluigi Mauri; Domenico Paparella; Vincenzo Lionetti
Journal:  Geroscience       Date:  2020-07-20       Impact factor: 7.713

Review 4.  Searching for the noninvasive biomarker holy grail: are urine proteomics the answer?

Authors:  Joachim Voss; Young Ah Goo; Kevin Cain; Nancy Woods; Monica Jarrett; Lynne Smith; Robert Shulman; Margaret Heitkemper
Journal:  Biol Res Nurs       Date:  2011-05-17       Impact factor: 2.522

5.  Identification of new biomarkers of low-dose GH replacement therapy in GH-deficient patients.

Authors:  Diana Cruz-Topete; Jens Otto L Jorgensen; Britt Christensen; Lucila Sackmann-Sala; Thomas Krusenstjerna-Hafstrøm; Adam Jara; Shigeru Okada; John J Kopchick
Journal:  J Clin Endocrinol Metab       Date:  2011-05-04       Impact factor: 5.958

6.  Integrated Multi-process Microfluidic Systems for Automating Analysis.

Authors:  Weichun Yang; Adam T Woolley
Journal:  JALA Charlottesv Va       Date:  2010-06-01

Review 7.  Proteomic serum biomarkers and their potential application in cancer screening programs.

Authors:  Anouck Huijbers; Berit Velstra; Tim J A Dekker; Wilma E Mesker; Yuri E M van der Burgt; Bart J Mertens; André M Deelder; Rob A E M Tollenaar
Journal:  Int J Mol Sci       Date:  2010-10-26       Impact factor: 5.923

Review 8.  Transcriptome and proteome research in veterinary science: what is possible and what questions can be asked?

Authors:  Robert Klopfleisch; Achim D Gruber
Journal:  ScientificWorldJournal       Date:  2012-01-04

9.  The polyglutamine protein ataxin-3 enables normal growth under heat shock conditions in the methylotrophic yeast Pichia pastoris.

Authors:  Marcella Bonanomi; Valentina Roffia; Antonella De Palma; Alessio Lombardi; Francesco Antonio Aprile; Cristina Visentin; Paolo Tortora; Pierluigi Mauri; Maria Elena Regonesi
Journal:  Sci Rep       Date:  2017-10-17       Impact factor: 4.379

10.  Availability of MudPIT data for classification of biological samples.

Authors:  Dario Di Silvestre; Italo Zoppis; Francesca Brambilla; Valeria Bellettato; Giancarlo Mauri; Pierluigi Mauri
Journal:  J Clin Bioinforma       Date:  2013-01-14
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