Literature DB >> 21142894

2D electrophoresis-based expression proteomics: a microbiologist's perspective.

Isabel Sá-Correia1, Miguel C Teixeira.   

Abstract

Quantitative proteomics based on 2D electrophoresis (2-DE) coupled with peptide mass fingerprinting is still one of the most widely used quantitative proteomics approaches in microbiology research. Our view on the exploitation of this global expression analysis technique and its contribution and potential to push forward the field of molecular microbial physiology towards a molecular systems microbiology perspective is discussed in this article. The advances registered in 2-DE-based quantitative proteomic analysis leading to increased protein resolution, sensitivity and accuracy, and the promising use of 2-DE to gain insights into post-translational modifications at a proteome-wide level (considering all the proteins/protein forms expressed by the genome) are focused on. Given the progress made in this field, it is foreseen that the 2-DE-based approach to quantitative proteomics will continue to be a fundamental tool for microbiologists working at a genome-wide scale. Guidelines are also provided for the exploitation of expression proteomics data, based on useful computational tools, and for the integration of these data with other genome-wide expression information. The advantages and limitations of a complete 2-DE-based expression proteomics analysis, envisaging the quantification of the global changes occurring in the proteome of a given cell depending on environmental or genetic manipulations, are discussed from the microbiologist's perspective. Particular focus is given to the emerging field of toxicoproteomics, a new systems toxicity approach that offers a powerful tool to directly monitor the earliest stages of the toxicological response by identifying critical proteins and pathways that are affected by, and respond to, a chemical stress. The experimental design and the bioinformatics analysis of data used in our laboratory to gain mechanistic insights through expression proteomics into the responses of the eukaryotic model Saccharomyces cerevisiae or of Pseudomonas strains to environmental toxicants are presented as case studies.

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Year:  2010        PMID: 21142894     DOI: 10.1586/epr.10.76

Source DB:  PubMed          Journal:  Expert Rev Proteomics        ISSN: 1478-9450            Impact factor:   3.940


  7 in total

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2.  Comparative proteomic analysis of paclitaxel resistance-related proteins in human breast cancer cell lines.

Authors:  Hiroya Fujioka; Akiko Sakai; Satoru Tanaka; Kosei Kimura; Akiko Miyamoto; Mitsuhiko Iwamoto; Kazuhisa Uchiyama
Journal:  Oncol Lett       Date:  2016-11-30       Impact factor: 2.967

3.  Yeast toxicogenomics: genome-wide responses to chemical stresses with impact in environmental health, pharmacology, and biotechnology.

Authors:  Sandra C Dos Santos; Miguel Cacho Teixeira; Tânia R Cabrito; Isabel Sá-Correia
Journal:  Front Genet       Date:  2012-04-19       Impact factor: 4.599

4.  Mitochondrial proteomics of the acetic acid - induced programmed cell death response in a highly tolerant Zygosaccharomyces bailii - derived hybrid strain.

Authors:  Joana F Guerreiro; Belém Sampaio-Marques; Renata Soares; Ana V Coelho; Cecília Leão; Paula Ludovico; Isabel Sá-Correia
Journal:  Microb Cell       Date:  2016-01-22

5.  Hemopexin as biomarkers for analyzing the biological responses associated with exposure to silica nanoparticles.

Authors:  Kazuma Higashisaka; Yasuo Yoshioka; Kohei Yamashita; Yuki Morishita; Huiyan Pan; Toshinobu Ogura; Takashi Nagano; Akiyoshi Kunieda; Kazuya Nagano; Yasuhiro Abe; Haruhiko Kamada; Shin-Ichi Tsunoda; Hiromi Nabeshi; Tomoaki Yoshikawa; Yasuo Tsutsumi
Journal:  Nanoscale Res Lett       Date:  2012-10-08       Impact factor: 4.703

6.  Human mesenchymal stem cell expression program upon extended ex-vivo cultivation, as revealed by 2-DE-based quantitative proteomics.

Authors:  Andreia Madeira; Cláudia L da Silva; Francisco dos Santos; Emilio Camafeita; Joaquim M S Cabral; Isabel Sá-Correia
Journal:  PLoS One       Date:  2012-08-20       Impact factor: 3.240

7.  Identification of HSP90 as potential biomarker of biliary atresia using two-dimensional electrophoresis and mass spectrometry.

Authors:  Rui Dong; Panmo Deng; Yanlei Huang; Chun Shen; Ping Xue; Shan Zheng
Journal:  PLoS One       Date:  2013-07-11       Impact factor: 3.240

  7 in total

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