Literature DB >> 19767571

Unbiased quantitation of Escherichia coli membrane proteome using phase transfer surfactants.

Takeshi Masuda1, Natsumi Saito, Masaru Tomita, Yasushi Ishihama.   

Abstract

We developed a sample preparation protocol for rapid and unbiased analysis of the membrane proteome using an alimentary canal-mimicking system in which proteases are activated in the presence of bile salts. In this rapid and unbiased protocol, immobilized trypsin is used in the presence of deoxycholate and lauroylsarcosine to increase digestion efficiency as well as to increase the solubility of the membrane proteins. Using 22.5 microg of Escherichia coli whole cell lysate, we quantitatively demonstrated that membrane proteins were extracted and digested at the same level as soluble proteins without any solubility-related bias. The recovery of membrane proteins was independent of the number of transmembrane domains per protein. In the analysis of the membrane-enriched fraction from 22.5 microg of E. coli cell lysate, the abundance distribution of the membrane proteins was in agreement with that of the membrane protein-coding genes when this protocol, coupled with strong cation exchange prefractionation prior to nano-LC-MS/MS analysis, was used. Because this protocol allows unbiased sample preparation, protein abundance estimation based on the number of observed peptides per protein was applied to both soluble and membrane proteins simultaneously, and the copy numbers per cell for 1,453 E. coli proteins, including 545 membrane proteins, were successfully obtained. Finally, this protocol was applied to quantitative analysis of guanosine tetra- and pentaphosphate-dependent signaling in E. coli wild-type and relA knock-out strains.

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Year:  2009        PMID: 19767571      PMCID: PMC2816013          DOI: 10.1074/mcp.M900240-MCP200

Source DB:  PubMed          Journal:  Mol Cell Proteomics        ISSN: 1535-9476            Impact factor:   5.911


  41 in total

1.  Predicting transmembrane protein topology with a hidden Markov model: application to complete genomes.

Authors:  A Krogh; B Larsson; G von Heijne; E L Sonnhammer
Journal:  J Mol Biol       Date:  2001-01-19       Impact factor: 5.469

2.  Comprehensive mass-spectrometry-based proteome quantification of haploid versus diploid yeast.

Authors:  Lyris M F de Godoy; Jesper V Olsen; Jürgen Cox; Michael L Nielsen; Nina C Hubner; Florian Fröhlich; Tobias C Walther; Matthias Mann
Journal:  Nature       Date:  2008-09-28       Impact factor: 49.962

3.  The global, ppGpp-mediated stringent response to amino acid starvation in Escherichia coli.

Authors:  Matthew F Traxler; Sean M Summers; Huyen-Tran Nguyen; Vineetha M Zacharia; G Aaron Hightower; Joel T Smith; Tyrrell Conway
Journal:  Mol Microbiol       Date:  2008-04-22       Impact factor: 3.501

4.  Robust and sensitive iTRAQ quantification on an LTQ Orbitrap mass spectrometer.

Authors:  Marcus Bantscheff; Markus Boesche; Dirk Eberhard; Toby Matthieson; Gavain Sweetman; Bernhard Kuster
Journal:  Mol Cell Proteomics       Date:  2008-05-29       Impact factor: 5.911

5.  Large-scale analysis of the yeast proteome by multidimensional protein identification technology.

Authors:  M P Washburn; D Wolters; J R Yates
Journal:  Nat Biotechnol       Date:  2001-03       Impact factor: 54.908

6.  Transcription profiling of the stringent response in Escherichia coli.

Authors:  Tim Durfee; Anne-Marie Hansen; Huijun Zhi; Frederick R Blattner; Ding Jun Jin
Journal:  J Bacteriol       Date:  2007-11-26       Impact factor: 3.490

7.  A multiplexed quantitative strategy for membrane proteomics: opportunities for mining therapeutic targets for autosomal dominant polycystic kidney disease.

Authors:  Chia-Li Han; Chih-Wei Chien; Wen-Cheng Chen; Yet-Ran Chen; Chien-Peng Wu; Hung Li; Yu-Ju Chen
Journal:  Mol Cell Proteomics       Date:  2008-05-18       Impact factor: 5.911

8.  Chemical cleavage-assisted tryptic digestion for membrane proteome analysis.

Authors:  Mio Iwasaki; Takeshi Masuda; Masaru Tomita; Yasushi Ishihama
Journal:  J Proteome Res       Date:  2009-06       Impact factor: 4.466

9.  Protocol for micro-purification, enrichment, pre-fractionation and storage of peptides for proteomics using StageTips.

Authors:  Juri Rappsilber; Matthias Mann; Yasushi Ishihama
Journal:  Nat Protoc       Date:  2007       Impact factor: 13.491

10.  Protein abundance profiling of the Escherichia coli cytosol.

Authors:  Yasushi Ishihama; Thorsten Schmidt; Juri Rappsilber; Matthias Mann; F Ulrich Hartl; Michael J Kerner; Dmitrij Frishman
Journal:  BMC Genomics       Date:  2008-02-27       Impact factor: 3.969

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  49 in total

1.  Discovery of colorectal cancer biomarker candidates by membrane proteomic analysis and subsequent verification using selected reaction monitoring (SRM) and tissue microarray (TMA) analysis.

Authors:  Hideaki Kume; Satoshi Muraoka; Takahisa Kuga; Jun Adachi; Ryohei Narumi; Shio Watanabe; Masayoshi Kuwano; Yoshio Kodera; Kazuyuki Matsushita; Junya Fukuoka; Takeshi Masuda; Yasushi Ishihama; Hisahiro Matsubara; Fumio Nomura; Takeshi Tomonaga
Journal:  Mol Cell Proteomics       Date:  2014-03-31       Impact factor: 5.911

2.  Quantitative assessment of in-solution digestion efficiency identifies optimal protocols for unbiased protein analysis.

Authors:  Ileana R León; Veit Schwämmle; Ole N Jensen; Richard R Sprenger
Journal:  Mol Cell Proteomics       Date:  2013-06-21       Impact factor: 5.911

3.  Use of stable isotope labeling by amino acids in cell culture as a spike-in standard in quantitative proteomics.

Authors:  Tamar Geiger; Jacek R Wisniewski; Juergen Cox; Sara Zanivan; Marcus Kruger; Yasushi Ishihama; Matthias Mann
Journal:  Nat Protoc       Date:  2011-02       Impact factor: 13.491

4.  Identification of characteristic proteins at late-stage erythroid differentiation in vitro.

Authors:  Koji Funato; Takaaki Abe; Ryo Kurita; Yoshihisa Watanabe; Yukio Nakamura; Shigeki Miyata; Yusuke Furukawa; Masahiro Satake
Journal:  Hum Cell       Date:  2021-02-22       Impact factor: 4.174

5.  Protein dosage of the lldPRD operon is correlated with RNase E-dependent mRNA processing.

Authors:  Lidia E Angel-Lerma; Enrique Merino; Ohsuk Kwon; Liliana Medina-Aparicio; Ismael Hernández-Lucas; Adrián F Alvarez; Dimitris Georgellis
Journal:  J Bacteriol       Date:  2020-12-23       Impact factor: 3.490

6.  Electrostatic interactions between middle domain motif-1 and the AAA1 module of the bacterial ClpB chaperone are essential for protein disaggregation.

Authors:  Saori Sugita; Kumiko Watanabe; Kana Hashimoto; Tatsuya Niwa; Eri Uemura; Hideki Taguchi; Yo-Hei Watanabe
Journal:  J Biol Chem       Date:  2018-10-16       Impact factor: 5.157

7.  Improving Proteome Coverage and Sample Recovery with Enhanced FASP (eFASP) for Quantitative Proteomic Experiments.

Authors:  Jonathan Erde; Rachel R Ogorzalek Loo; Joseph A Loo
Journal:  Methods Mol Biol       Date:  2017

8.  Fundamental constraints on the abundances of chemotaxis proteins.

Authors:  Anne-Florence Bitbol; Ned S Wingreen
Journal:  Biophys J       Date:  2015-03-10       Impact factor: 4.033

9.  Skp Trimer Formation Is Insensitive to Salts in the Physiological Range.

Authors:  Clifford W Sandlin; Nathan R Zaccai; Karen G Fleming
Journal:  Biochemistry       Date:  2015-11-24       Impact factor: 3.162

10.  Optimization of parameters for coverage of low molecular weight proteins.

Authors:  Stephan A Müller; Tibor Kohajda; Sven Findeiss; Peter F Stadler; Stefan Washietl; Manolis Kellis; Martin von Bergen; Stefan Kalkhof
Journal:  Anal Bioanal Chem       Date:  2010-08-28       Impact factor: 4.142

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