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A High-Temporal Resolution Technology for Dynamic Proteomic Analysis Based on (35)S Labeling
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 pro...
Autores principales: | , , , , , , , |
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Formato: | Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2008
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2500177/ https://www.ncbi.nlm.nih.gov/pubmed/18714357 http://dx.doi.org/10.1371/journal.pone.0002991 |
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author | Zhang, Zhao Chen, Jian Guo, Fuzheng He, Liren Wu, Yizhou Zeng, Changqing Xiao, Xueyuan He, Dacheng |
author_facet | Zhang, Zhao Chen, Jian Guo, Fuzheng He, Liren Wu, Yizhou Zeng, Changqing Xiao, Xueyuan He, Dacheng |
author_sort | Zhang, Zhao |
collection | PubMed |
description | 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. |
format | Text |
id | pubmed-2500177 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2008 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-25001772008-08-20 A High-Temporal Resolution Technology for Dynamic Proteomic Analysis Based on (35)S Labeling Zhang, Zhao Chen, Jian Guo, Fuzheng He, Liren Wu, Yizhou Zeng, Changqing Xiao, Xueyuan He, Dacheng PLoS One Research Article 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. Public Library of Science 2008-08-20 /pmc/articles/PMC2500177/ /pubmed/18714357 http://dx.doi.org/10.1371/journal.pone.0002991 Text en Zhang et al. http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are properly credited. |
spellingShingle | Research Article Zhang, Zhao Chen, Jian Guo, Fuzheng He, Liren Wu, Yizhou Zeng, Changqing Xiao, Xueyuan He, Dacheng A High-Temporal Resolution Technology for Dynamic Proteomic Analysis Based on (35)S Labeling |
title | A High-Temporal Resolution Technology for Dynamic Proteomic Analysis Based on (35)S Labeling |
title_full | A High-Temporal Resolution Technology for Dynamic Proteomic Analysis Based on (35)S Labeling |
title_fullStr | A High-Temporal Resolution Technology for Dynamic Proteomic Analysis Based on (35)S Labeling |
title_full_unstemmed | A High-Temporal Resolution Technology for Dynamic Proteomic Analysis Based on (35)S Labeling |
title_short | A High-Temporal Resolution Technology for Dynamic Proteomic Analysis Based on (35)S Labeling |
title_sort | high-temporal resolution technology for dynamic proteomic analysis based on (35)s labeling |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2500177/ https://www.ncbi.nlm.nih.gov/pubmed/18714357 http://dx.doi.org/10.1371/journal.pone.0002991 |
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