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A High-Temporal Resolution Technology for Dynamic Proteomic Analysis Based on 35S Labeling
Author(s) -
Zhao Zhang,
Jian Chen,
Fuzheng Guo,
Liren He,
Yizhou Wu,
Changqing Zeng,
Xueyuan Xiao,
Dacheng He
Publication year - 2008
Publication title -
plos one
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.99
H-Index - 332
ISSN - 1932-6203
DOI - 10.1371/journal.pone.0002991
Subject(s) - proteome , proteomics , computational biology , false discovery rate , computer science , snapshot (computer storage) , biology , biological system , bioinformatics , biochemistry , gene , operating system
As more and more research efforts have been attracted to dynamic or differential proteomics, a method with high temporal resolution and high throughput is required. In present study, a 35 S in vivo Labeling Analysis for Dynamic Proteomics (SiLAD) was designed and tested by analyzing the dynamic proteome changes in the highly synchronized A549 cells, as well as in the rat liver 2/3 partial hepatectomy surgery. The results validated that SiLAD technique, in combination with 2-Dimensional Electrophoresis, provided a highly sensitivity method to illustrate the non-disturbed endogenous proteins dynamic changes with a good temporal resolution and high signal/noise ratio. A significant number of differential proteins can be discovered or re-categorized by this technique. Another unique feature of SiLAD is its capability of quantifying the rate of protein expression, which reflects the cellular physiological turn points more effectively. Finally, the prescribed SiLAD proteome snapshot pattern could be potentially used as an exclusive symbol for characterizing each stage in well regulated biological processes.

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