In this study, we examined yeast proteins by two-dimensional (2D) gel electrophoresis and gathered quantitative information from about 1,400 spots. We found that there is an enormous range of protein abundance and, for identified spots, a good correlation between protein abundance, mRNA abundance, and codon bias. For each molecule of well-translated mRNA, there were about 4,000 molecules of protein. The relative abundance of proteins was measured in glucose and ethanol media. Protein turnover was examined and found to be insignificant for abundant proteins. Some phosphoproteins were identified. The behavior of proteins in differential centrifugation experiments was examined. Such experiments with 2D gels can give a global view of the yeast proteome.The sequence of the yeast genome has been determined (9). More recently, the number of mRNA molecules for each expressed gene has been measured (27,30). The next logical level of analysis is that of the expressed set of proteins. We have begun to analyze the yeast proteome by using two-dimensional (2D) gels.2D gel electrophoresis separates proteins according to isoelectric point in one dimension and molecular weight in the other dimension (21), allowing resolution of thousands of proteins on a single gel. Although modern imaging and computing techniques can extract quantitative data for each of the spots in a 2D gel, there are only a few cases in which quantitative data have been gathered from 2D gels. 2D gel electrophoresis is almost unique in its ability to examine biological responses over thousands of proteins simultaneously and should therefore allow us a relatively comprehensive view of cellular metabolism.We and others have worked toward assembling a yeast protein database consisting of a collection of identified spots in 2D gels and of data on each of these spots under various conditions (2,7,8,10,23,25). These data could then be used in analyzing a protein or a metabolic process. Saccharomyces cerevisiae is a good organism for this approach since it has a well-understood physiology as well as a large number of mutants, and its genome has been sequenced. Given the sequence and the relative lack of introns in S. cerevisiae, it is easy to predict the sequence of the primary protein product of most genes. This aids tremendously in identifying these proteins on 2D gels.There are three pillars on which such a database rests: (i) visualization of many protein spots simultaneously, (ii) quantification of the protein in each spot, and (iii) identification of the gene product for each spot. Our first efforts at visualization and identification for S. cerevisiae have been described elsewhere (7,8). Here we describe quantitative data for these proteins under a variety of experimental conditions. ade2-1 his3-11,15 leu2-3, 112 trp1-1 ura3-1 can1-100) was used (26). ϪMet YNB (yeast nitrogen base) medium was 1.7 g of YNB (Difco) per liter, 5 g of ammonium sulfate per liter, and adenine, uracil, and all amino acids except methionine; ϪMet ϪCys YNB medium was the same but wi...

No abstract

Until recently, the REF52 2-D gel database of experiments with rat cell lines was accessible only with special software. This database has now been made available to all investigators with access to the Internet, using the World Wide Web (WWW) technology. The package which delivers the database through the WWW has been named the Global Gel Navigator and can be used to explore the data by several methods, including the direct selection of proteins in the displayed gel using the mouse.

The QUEST Protein Database Center is now making available two Saccharomyces cerevisiae protein databases via the Internet. The yeast electrophoretic protein database (YEPD) is a database of approximately one hundred protein identifications on two-dimensional gels. The yeast protein database (YPD) is a database of gene names and properties of over 3500 yeast proteins of known sequence. These databases can be accessed via a World-Wide Web (WWW) server (URL http:@siva.cshl.org). YPD is available via public ftp (isis.cshl.org) as well, in a spreadsheet format, and in ASCII format. When accessed via WWW, both of these databases have hypertext links to other biological data, such as the SWISS-PROT protein sequence database and the Saccharomyces Genome Database (SacchDB), and to each other.