Premium
Gene‐centric view on the human proteome project: The example of the Russian roadmap for chromosome 18
Author(s) -
Archakov Alexander,
Aseev Alexander,
Bykov Victor,
Grigoriev Anatoly,
Govorun Vadim,
Ivanov Vadim,
Khlunov Alexander,
Lisitsa Andrey,
Mazurenko Sergey,
Makarov Alexander A.,
Ponomarenko Elena,
Sagdeev Renad,
Skryabin Konstantin
Publication year - 2011
Publication title -
proteomics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.26
H-Index - 167
eISSN - 1615-9861
pISSN - 1615-9853
DOI - 10.1002/pmic.201000540
Subject(s) - proteome , human proteome project , computational biology , proteomics , biology , context (archaeology) , gene , alternative splicing , bioinformatics , genetics , gene isoform , paleontology
During the 2010 Human Proteome Organization Congress in Sydney, a gene‐centric approach emerged as a feasible and tractable scaffold for assemblage of the Human Proteome Project. Bringing the gene‐centric principle into practice, a roadmap for the 18th chromosome was drafted, postulating the limited sensitivity of analytical methods, as a serious bottleneck in proteomics. In the context of the sensitivity problem, we refer to the “copy number of protein molecules” as a measurable assessment of protein abundance. The roadmap is focused on the development of technology to attain the low‐ and ultralow ‐“copied” portion of the proteome. Roadmap merges the genomic, transcriptomic and proteomic levels to identify the majority of 285 proteins from 18th chromosome – master proteins. Master protein is the primary translation of the coding sequence and resembling at least one of the known isoforms, coded by the gene. The executive phase of the roadmap includes the expansion of the study of the master proteins with alternate splicing, single amino acid polymorphisms (SAPs) and post‐translational modifications. In implementing the roadmap, Russian scientists are expecting to establish proteomic technologies for integrating MS and atomic force microscopy (AFM). These technologies are anticipated to unlock the value of new biomarkers at a detection limit of 10 −18 M, i.e. 1 protein copy per 1μL of plasma. The roadmap plan is posted at www.proteome.ru/en/roadmap/ and a forum for discussion of the document is supported.