Literature DB >> 10344242

Studies of quantitative analysis of protein expression in Saccharomyces cerevisiae.

J X Yan1, J C Sanchez, L Tonella, K L Williams, D F Hochstrasser.   

Abstract

In the present study amino acid analysis is applied to quantitation of Saccharomyces cerevisiae proteome expression. The quantitation levels obtained are compared to data using densitometric analysis of silver or amido black staining and to the theoretical expression level (codon bias) of the identified proteins determined from their amino acid analysis (AAA). The results show that relative volume ratio (%vol) using Melanie II is a better parameter for spot quantitation than relative optical density ratio (%OD), and amino black staining provides good linearity within the range 1-100 pmol protein. However, AAA shows that theoretical expression levels are not well correlated with actual protein expression level, although there is better correlation when isoforms of the expressed protein are identified and included. It is concluded that amino acid analysis provides accurate protein quantitation and has a continuing role in proteome studies in terms of the rapid and inexpensive quantitation of proteins displayed on proteome maps. We do however recognize that in the context of future clinical applications and large-scale proteome discovery projects, quantitation and post-translational modification need to be analyzed by 'proteomatic' (i.e., proteome automatic bioinformatic analysis directly from the gel) techniques.

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Year:  1999        PMID: 10344242     DOI: 10.1002/(SICI)1522-2683(19990101)20:4/5<738::AID-ELPS738>3.0.CO;2-2

Source DB:  PubMed          Journal:  Electrophoresis        ISSN: 0173-0835            Impact factor:   3.535


  4 in total

Review 1.  Molecular biologist's guide to proteomics.

Authors:  Paul R Graves; Timothy A J Haystead
Journal:  Microbiol Mol Biol Rev       Date:  2002-03       Impact factor: 11.056

2.  Identification of secreted glycoproteins of human prostate and bladder stromal cells by comparative quantitative proteomics.

Authors:  Young Ah Goo; Alvin Y Liu; Soyoung Ryu; Scott A Shaffer; Lars Malmström; Laura Page; Liem T Nguyen; Catalin E Doneanu; David R Goodlett
Journal:  Prostate       Date:  2009-01-01       Impact factor: 4.104

3.  The role of phenotypic plasticity on the proteome differences between two sympatric marine snail ecotypes adapted to distinct micro-habitats.

Authors:  Mónica Martínez-Fernández; María Páez de la Cadena; Emilio Rolán-Alvarez
Journal:  BMC Evol Biol       Date:  2010-03-08       Impact factor: 3.260

4.  Spot quantification in two dimensional gel electrophoresis image analysis: comparison of different approaches and presentation of a novel compound fitting algorithm.

Authors:  Jan M Brauner; Teja W Groemer; Armin Stroebel; Simon Grosse-Holz; Timo Oberstein; Jens Wiltfang; Johannes Kornhuber; Juan Manuel Maler
Journal:  BMC Bioinformatics       Date:  2014-06-11       Impact factor: 3.169

  4 in total

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