Literature DB >> 14625849

Proteome of Caulobacter crescentus cell cycle publicly accessible on SWICZ server.

Jiri Vohradsky1, Ivan Janda, Björn Grünenfelder, Peter Berndt, Daniel Röder, Hanno Langen, Jaroslav Weiser, Urs Jenal.   

Abstract

Here we present the Swiss-Czech Proteomics Server (SWICZ), which hosts the proteomic database summarizing information about the cell cycle of the aquatic bacterium Caulobacter crescentus. The database provides a searchable tool for easy access of global protein synthesis and protein stability data as examined during the C. crescentus cell cycle. Protein synthesis data collected from five different cell cycle stages were determined for each protein spot as a relative value of the total amount of [(35)S]methionine incorporation. Protein stability of pulse-labeled extracts were measured during a chase period equivalent to one cell cycle unit. Quantitative information for individual proteins together with descriptive data such as protein identities, apparent molecular masses and isoelectric points, were combined with information on protein function, genomic context, and the cell cycle stage, and were then assembled in a relational database with a world wide web interface (http://proteom.biomed.cas.cz), which allows the database records to be searched and displays the recovered information. A total of 1250 protein spots were reproducibly detected on two-dimensional gel electropherograms, 295 of which were identified by mass spectroscopy. The database is accessible either through clickable two-dimensional gel electrophoretic maps or by means of a set of dedicated search engines. Basic characterization of the experimental procedures, data processing, and a comprehensive description of the web site are presented. In its current state, the SWICZ proteome database provides a platform for the incorporation of new data emerging from extended functional studies on the C. crescentus proteome.

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Year:  2003        PMID: 14625849     DOI: 10.1002/pmic.200300559

Source DB:  PubMed          Journal:  Proteomics        ISSN: 1615-9853            Impact factor:   3.984


  2 in total

1.  The case for well-conducted experiments to validate statistical protocols for 2D gels: different pre-processing = different lists of significant proteins.

Authors:  Sreelatha Meleth; Jessy Deshane; Helen Kim
Journal:  BMC Biotechnol       Date:  2005-02-11       Impact factor: 2.563

2.  Transcriptomic and phylogenetic analysis of a bacterial cell cycle reveals strong associations between gene co-expression and evolution.

Authors:  Gang Fang; Karla D Passalacqua; Jason Hocking; Paula Montero Llopis; Mark Gerstein; Nicholas H Bergman; Christine Jacobs-Wagner
Journal:  BMC Genomics       Date:  2013-07-05       Impact factor: 3.969

  2 in total

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