Literature DB >> 25641774

CE-MS-based proteomics in biomarker discovery and clinical application.

Claudia Pontillo1, Szymon Filip, Daniel M Borràs, William Mullen, Antonia Vlahou, Harald Mischak.   

Abstract

CE-MS is applied in clinical proteomics for both the identification of biomarkers of disease and assessment of biomarkers in clinical diagnosis. The analysis is reproducible, fast, and requires only small sample volumes. However, successful CE-MS analysis depends on several critical steps that can be consolidated as follows: (i) proper sample preparation and fractionation, (ii) application of suitable capillary coating and appropriate CE-MS interfaces, to ensure the reproducibility and stability of the analysis, and (iii) an optimized clinical and statistical study design to increase the chances for obtaining clinically relevant results. In this review, we cover all these aspects, and present several examples of the application of CE-MS in clinical proteomics.
© 2015 WILEY-VCH Verlag GmbH & Co. KGaA, Weinheim.

Keywords:  Biomarker; Capillary electrophoresis; Clinical proteomics; Mass spectrometry; Peptidomics

Mesh:

Substances:

Year:  2015        PMID: 25641774     DOI: 10.1002/prca.201400115

Source DB:  PubMed          Journal:  Proteomics Clin Appl        ISSN: 1862-8346            Impact factor:   3.494


  15 in total

1.  Enhanced Microchip Electrophoresis Separations Combined with Electrochemical Detection Utilizing a Capillary Embedded in Polystyrene.

Authors:  Benjamin T Mehl; R Scott Martin
Journal:  Anal Methods       Date:  2017-12-06       Impact factor: 2.896

Review 2.  Recent trends of capillary electrophoresis-mass spectrometry in proteomics research.

Authors:  Fabio P Gomes; John R Yates
Journal:  Mass Spectrom Rev       Date:  2019-08-12       Impact factor: 10.946

Review 3.  Advances in diagnostics for transplant rejection.

Authors:  Michael Nasr; Tara Sigdel; Minnie Sarwal
Journal:  Expert Rev Mol Diagn       Date:  2016-10       Impact factor: 5.225

Review 4.  Capillary zone electrophoresis for bottom-up analysis of complex proteomes.

Authors:  Liangliang Sun; Guijie Zhu; Xiaojing Yan; Zhenbin Zhang; Roza Wojcik; Matthew M Champion; Norman J Dovichi
Journal:  Proteomics       Date:  2015-12-20       Impact factor: 3.984

5.  Comparison of different statistical approaches for urinary peptide biomarker detection in the context of coronary artery disease.

Authors:  Eleanor Stanley; Eleni Ioanna Delatola; Esther Nkuipou-Kenfack; William Spooner; Walter Kolch; Joost P Schanstra; Harald Mischak; Thomas Koeck
Journal:  BMC Bioinformatics       Date:  2016-12-06       Impact factor: 3.169

Review 6.  Current Application of Capillary Electrophoresis in Nanomaterial Characterisation and Its Potential to Characterise the Protein and Small Molecule Corona.

Authors:  Andrew J Chetwynd; Emily J Guggenheim; Sophie M Briffa; James A Thorn; Iseult Lynch; Eugenia Valsami-Jones
Journal:  Nanomaterials (Basel)       Date:  2018-02-10       Impact factor: 5.076

7.  Urinary proteomics can define distinct diagnostic inflammatory arthritis subgroups.

Authors:  Stefan Siebert; Duncan Porter; Caron Paterson; Rosie Hampson; Daniel Gaya; Agnieszka Latosinska; Harald Mischak; Joost Schanstra; William Mullen; Iain McInnes
Journal:  Sci Rep       Date:  2017-01-16       Impact factor: 4.379

Review 8.  Urinary Peptidomic Biomarkers in Kidney Diseases.

Authors:  Vittorio Sirolli; Luisa Pieroni; Lorenzo Di Liberato; Andrea Urbani; Mario Bonomini
Journal:  Int J Mol Sci       Date:  2019-12-21       Impact factor: 5.923

Review 9.  CE-MS for metabolomics: Developments and applications in the period 2014-2016.

Authors:  Rawi Ramautar; Govert W Somsen; Gerhardus J de Jong
Journal:  Electrophoresis       Date:  2016-10-31       Impact factor: 3.535

10.  Comparative proteome and peptidome analysis of the cephalic fluid secreted by Arapaima gigas (Teleostei: Osteoglossidae) during and outside parental care.

Authors:  Lucas S Torati; Hervé Migaud; Mary K Doherty; Justyna Siwy; Willian Mullen; Pedro E C Mesquita; Amaya Albalat
Journal:  PLoS One       Date:  2017-10-24       Impact factor: 3.240

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