Premium
The intricacy of biomarker complexity–the identification of a genuine proteomic biomarker is more complicated than believed
Author(s) -
Büchler Rita,
Wendler Sindy,
Muckova Petra,
Großkreutz Julian,
Rhode Heidrun
Publication year - 2016
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.201600067
Subject(s) - biomarker , computational biology , biomarker discovery , identification (biology) , proteomics , expression (computer science) , biology , computer science , bioinformatics , gene , genetics , botany , programming language
Several reasons have been put forward to explain the irreproducibility of proteomic biomarker search. However, these reasons pertain to almost every part of biomarker search across the entire analytical workflow but are entirely experimental or methodological. However, in this article we point out that there is a further cause of such irreproducibility. This is not an additional methodological or experimental cause but arises directly from the biology of protein expression. It arises from the fact that disease changes the diversity within protein families. This cause of irreproducibility has been very little studied in relation to proteomic biomarker search. Gene expression is highly variable even in healthy people. Therefore, multiple proteoforms are also to be expected when gene expression is disrupted by disease, proteoforms that may be differently altered by pathology. In consequence, it is illogical to expect that the whole protein family produces a reliably usable biomarker. It is more reasonable to expect that a specific proteoform fulfills this role. Appropriate sample pre‐fractionation methods and data analyses could help to identify this version, carrying the modification or the epitope required.