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Clinical proteomics: A need to define the field and to begin to set adequate standards
Author(s) -
Mischak Harald,
Apweiler Rolf,
Banks Rosamonde E.,
Conaway Mark,
Coon Joshua,
Dominiczak Anna,
Ehrich Jochen H. H.,
Fliser Danilo,
Girolami Mark,
Hermjakob Henning,
Hochstrasser Denis,
Jankowski Joachim,
Julian Bruce A.,
Kolch Walter,
Massy Ziad A.,
Neusuess Christian,
Novak Jan,
Peter Karlheinz,
Rossing Kasper,
Schanstra Joost,
Semmes O. John,
Theodorescu Dan,
Thongboonkerd Visith,
Weissinger Eva M.,
Van Eyk Jennifer E.,
Yamamoto Tadashi
Publication year - 2007
Publication title -
proteomics – clinical applications
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.948
H-Index - 54
eISSN - 1862-8354
pISSN - 1862-8346
DOI - 10.1002/prca.200600771
Subject(s) - set (abstract data type) , field (mathematics) , computer science , data science , management science , engineering , mathematics , programming language , pure mathematics
The aim of this manuscript is to initiate a constructive discussion about the definition of clinical proteomics, study requirements, pitfalls and (potential) use. Furthermore, we hope to stimulate proposals for the optimal use of future opportunities and seek unification of the approaches in clinical proteomic studies. We have outlined our collective views about the basic principles that should be considered in clinical proteomic studies, including sample selection, choice of technology and appropriate quality control, and the need for collaborative interdisciplinary efforts involving clinicians and scientists. Furthermore, we propose guidelines for the critical aspects that should be included in published reports. Our hope is that, as a result of stimulating discussion, a consensus will be reached amongst the scientific community leading to guidelines for the studies, similar to those already published for mass spectrometric sequencing data. We contend that clinical proteomics is not just a collection of studies dealing with analysis of clinical samples. Rather, the essence of clinical proteomics should be to address clinically relevant questions and to improve the state‐of‐the‐art, both in diagnosis and in therapy of diseases.

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