Proteome analysis, utilizing high-throughput proteomics approaches, involves studying proteins
that a whole organism (or specific tissue or cellular compartment) expresses under certain conditions.
Intrinsic difficulties of these studies, as well as the enormous volumes of data they typically
produce, make the proteome analysis and interpretation very difficult. As with any highthroughput
approach, proteomics experiments should be carefully designed, analyzed, and
verified. In addition to computational standards,experimentalstandards—simple and complex
mixtures of known proteins—for high-throughput proteomics have to be developed and utilized.
This article discusses such experimental standards and their implementations.
This paper is part of the special issue of OMICS on data standards.
