首页 | 本学科首页   官方微博 | 高级检索  
     检索      


2DE‐based approach for estimation of number of protein species in a cell
Authors:Stanislav N Naryzhny  Andrey V Lisitsa  Victor G Zgoda  Elena A Ponomarenko  Alexander I Archakov
Institution:1. Department of Proteomic Research and Mass Spectrometry, V.N. Orekhovich, Institute of Biomedical Chemistry, Moscow, Russia;2. Department of Molecular and Radiation Biophysics, B.P. Konstantinov, Petersburg Nuclear Physics Institute, Gatchina, Leningrad District, Russia;3. Department for Bioinformatics, V.N. Orekhovich, Institute of Biomedical Chemistry, Moscow, Russia;4. V.N. Orekhovich Institute of Biomedical Chemistry, Moscow, Russia
Abstract:Insufficient sensitivity of methods for detection of proteins at a single molecule level does not yet allow obtaining the whole image of human proteome. But to go further, we need at least to know the proteome size, or how many different protein species compose this proteome. This is the task that could be at least partially realized by the method described in this article. The approach used in our study is based on detection of protein spots in 2DE after staining by protein dyes with various sensitivities. As the different protein spots contain different protein species, counting the spots opens a way for estimation of number of protein species. The function representing the dependence of the number of protein spots on sensitivity or LOD of protein dyes was generated. And extrapolation of this function curve to theoretical point of the maximum sensitivity (detection of a single smallest polypeptide) allowed to counting the number of different molecules (polypeptide species) at the concentration level of a single polypeptide per proteome. Using this approach, it was estimated that the minimal numbers of protein species for model objects, Escherichia coli and Pirococcus furiosus, are 6200 and 3400, respectively. We expect a single human cell (HepG2) to contain minimum 70 000 protein species.
Keywords:Approach  Cell  2DE  Number  Protein species
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司  京ICP备09084417号