Topic
Saccharomyces cerevisiae
About: Saccharomyces cerevisiae is a research topic. Over the lifetime, 32147 publications have been published within this topic receiving 1623440 citations. The topic is also known as: Brewer's yeast & Baking yeast.
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TL;DR: A series of yeast shuttle vectors and host strains has been created to allow more efficient manipulation of DNA in Saccharomyces cerevisiae to perform most standard DNA manipulations in the same plasmid that is introduced into yeast.
Abstract: A series of yeast shuttle vectors and host strains has been created to allow more efficient manipulation of DNA in Saccharomyces cerevisiae. Transplacement vectors were constructed and used to derive yeast strains containing nonreverting his3, trp1, leu2 and ura3 mutations. A set of YCp and YIp vectors (pRS series) was then made based on the backbone of the multipurpose plasmid pBLUESCRIPT. These pRS vectors are all uniform in structure and differ only in the yeast selectable marker gene used (HIS3, TRP1, LEU2 and URA3). They possess all of the attributes of pBLUESCRIPT and several yeast-specific features as well. Using a pRS vector, one can perform most standard DNA manipulations in the same plasmid that is introduced into yeast.
8,364 citations
Journal Article•
7,587 citations
TL;DR: A comprehensive catalog of yeast genes whose transcript levels vary periodically within the cell cycle is created, and it is found that the mRNA levels of more than half of these 800 genes respond to one or both of these cyclins.
Abstract: We sought to create a comprehensive catalog of yeast genes whose transcript levels vary periodically within the cell cycle. To this end, we used DNA microarrays and samples from yeast cultures sync...
5,176 citations
TL;DR: It is demonstrated that the phenotypic consequence of a single gene deletion in the yeast Saccharomyces cerevisiae is affected to a large extent by the topological position of its protein product in the complex hierarchical web of molecular interactions.
Abstract: The most highly connected proteins in the cell are the most important for its survival. Proteins are traditionally identified on the basis of their individual actions as catalysts, signalling molecules, or building blocks in cells and microorganisms. But our post-genomic view is expanding the protein's role into an element in a network of protein–protein interactions as well, in which it has a contextual or cellular function within functional modules1,2. Here we provide quantitative support for this idea by demonstrating that the phenotypic consequence of a single gene deletion in the yeast Saccharomyces cerevisiae is affected to a large extent by the topological position of its protein product in the complex hierarchical web of molecular interactions.
5,115 citations
TL;DR: Examination of large-scale yeast two-hybrid screens reveals interactions that place functionally unclassified proteins in a biological context, interactions between proteins involved in the same biological function, and interactions that link biological functions together into larger cellular processes.
Abstract: Two large-scale yeast two-hybrid screens were undertaken to identify protein-protein interactions between full-length open reading frames predicted from the Saccharomyces cerevisiae genome sequence. In one approach, we constructed a protein array of about 6,000 yeast transformants, with each transformant expressing one of the open reading frames as a fusion to an activation domain. This array was screened by a simple and automated procedure for 192 yeast proteins, with positive responses identified by their positions in the array. In a second approach, we pooled cells expressing one of about 6,000 activation domain fusions to generate a library. We used a high-throughput screening procedure to screen nearly all of the 6,000 predicted yeast proteins, expressed as Gal4 DNA-binding domain fusion proteins, against the library, and characterized positives by sequence analysis. These approaches resulted in the detection of 957 putative interactions involving 1,004 S. cerevisiae proteins. These data reveal interactions that place functionally unclassified proteins in a biological context, interactions between proteins involved in the same biological function, and interactions that link biological functions together into larger cellular processes. The results of these screens are shown here.
4,877 citations