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Approaching Clinical Proteomics: Current State and Future Fields of Application in Cellular Proteomics

  • Rolf Apweiler
  • , Charalampos Aslanidis
  • , Thomas Deufel
  • , Andreas Gerstner
  • , Jens Hansen
  • , Dennis Hochstrasser
  • , Roland Kellner
  • , Markus Kubicek
  • , Friedrich Lottspeich
  • , Edmund Maser
  • , Hans Werner Mewes
  • , Helmut E. Meyer
  • , Stefan Müllner
  • , Wolfgang Mutter
  • , Michael Neumaier
  • , Peter Nollau
  • , Hans G. Nothwang
  • , Fredrik Ponten
  • , Andreas Radbruch
  • , Knut Reinert
  • Gregor Rothe, Hannes Stockinger, Attila Tárnok, Mike J. Taussig, Andreas Thiel, Joachim Thiery, Marius Ueffing, Günther Valet, Joel Vandekerckhove, Christoph Wagener, Oswald Wagner, Gerd Schmitz
  • European Bioinformatics Institute
  • University of Regensburg
  • Friedrich Schiller University Jena
  • University of Bonn
  • University of Geneva
  • Merck KGaA
  • Medical University of Vienna
  • Max Planck Institute of Biochemistry
  • Christian-Albrechts-University of Kiel
  • Helmholtz Zentrum München German Research Center for Environmental Health
  • Max-Planck-lnstitut für Kohlenforschung
  • Protagen AG
  • PROFOS
  • Universitätsmedizin Mannheim
  • University Medical Center Hamburg-Eppendorf
  • University of Kaiserslautern
  • Uppsala University
  • German Rheumatism Research Center
  • Humboldt-Universität zu Berlin
  • Laboratory Center Bremen
  • Vienna-UNI
  • University of Leipzig
  • Babraham Institute
  • Ghent University

Research output: Contribution to journalReview articlepeer-review

54 Scopus citations

Abstract

Recent developments in proteomics technology offer new opportunities for clinical applications in hospital or specialized laboratories including the identification of novel biomarkers, monitoring of disease, detecting adverse effects of drugs, and environmental hazards. Advanced spectrometry technologies and the development of new protein array formats have brought these analyses to a standard, which now has the potential to be used in clinical diagnostics. Besides standardization of methodologies and distribution of proteomic data into public databases, the nature of the human body fluid proteome with its high dynamic range in protein concentrations, its quantitation problems, and its extreme complexity present enormous challenges. Molecular cell biology (cytomics) with its link to proteomics is a new fast moving scientific field, which addresses functional cell analysis and bioinformatic approaches to search for novel cellular proteomic biomarkers or their release products into body fluids that provide better insight into the enormous biocomplexity of disease processes and are suitable for patient stratification, therapeutic monitoring, and prediction of prognosis. Experience from studies of in vitro diagnostics and especially in clinical chemistry showed that the majority of errors occurs in the preanalytical phase and the setup of the diagnostic strategy. This is also true for clinical proteomics where similar preanalytical variables such as inter- and intra-assay variability due to biological variations or proteolytical activities in the sample will most likely also influence the results of proteomics studies. However, before complex proteomic analysis can be introduced at a broader level into the clinic, standardization of the preanalytical phase including patient preparation, sample collection, sample preparation, sample storage, measurement, and data analysis is another issue which has to be improved. In this report, we discuss the recent advances and applications that fulfill the criteria for clinical proteomics with the focus on cellular proteomics (cytoproteomics) as related to preanalytical and analytical standardization and to quality control measures required for effective implementation of these technologies and analytes into routine laboratory testing to generate novel actionable health information. It will then be crucial to design and carry out clinical studies that can eventually identify novel clinical diagnostic strategies based on these techniques and validate their impact on clinical decision making.

Original languageEnglish
Pages (from-to)816-832
Number of pages17
JournalCytometry Part A
Volume75
Issue number10
DOIs
StatePublished - Oct 2009
Externally publishedYes

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well-being

Keywords

  • Cellular proteomics
  • Clinical proteomics
  • Cytomics
  • Cytoproteomics
  • Proteome

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