Premium
Functional proteomic biomarkers in cancer
Author(s) -
Larijani Banafshe,
Perani Michela,
Alburai'si Kholoud,
Parker Peter J.
Publication year - 2015
Publication title -
annals of the new york academy of sciences
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.712
H-Index - 248
eISSN - 1749-6632
pISSN - 0077-8923
DOI - 10.1111/nyas.12749
Subject(s) - proteomics , computational biology , pace , biology , proteome , germline , cancer biomarkers , phenotype , cancer , bioinformatics , data science , computer science , genetics , gene , geodesy , geography
Beyond penetrant germline and somatic mutations, there are substantial challenges in extrapolating phenotypes from linear DNA sequences and transcriptomics. This brings a molecular pathology emphasis to the properties of the main players responsible for executing actions, proteins. The proteomic attribute most frequently determined in pathology is (relative) content, but for many candidate biomarkers this is not the most important feature to understand. In keeping pace with the depth of knowledge of the mechanisms underlying pathologies, we need to ask more sophisticated questions about the state of proteins, for example, their oligomerization status, modification status, and location. This demands hitherto nonroutine approaches to proteomics, which we will discuss in this brief perspective.