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Exploration of the Function and Organization of the Yeast Early Secretory Pathway through an Epistatic Miniarray Profile

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TLDR
Analysis of an E-MAP of genes acting in the yeast early secretory pathway revealed or clarified the role of many proteins involved in extensively studied processes such as sphingolipid metabolism and retention of HDEL proteins.
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This article is published in Cell.The article was published on 2005-11-04 and is currently open access. It has received 886 citations till now.

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An ER-Mitochondria Tethering Complex Revealed by a Synthetic Biology Screen

TL;DR: In this article, the authors identified the Mmm1/Mdm10/mdm12/mdr34 complex as a molecular tether between the endoplasmic reticulum (ER) and mitochondria.
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A global genetic interaction network maps a wiring diagram of cellular function

TL;DR: A global genetic interaction network highlights the functional organization of a cell and provides a resource for predicting gene and pathway function and how coherent sets of negative or positive genetic interactions connect protein complex and pathways to map a functional wiring diagram of the cell.
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Global analysis of the yeast lipidome by quantitative shotgun mass spectrometry

TL;DR: Comparative lipidomics demonstrated that growth temperature and defects in lipid biosynthesis induce ripple effects throughout the molecular composition of the yeast lipidome, establishing shotgun lipidomics as a powerful platform for complementing biochemical studies and other systems-level approaches.
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Functional dissection of protein complexes involved in yeast chromosome biology using a genetic interaction map

TL;DR: An epistatic miniarray profile consisting of quantitative pairwise measurements of the genetic interactions between 743 Saccharomyces cerevisiae genes involved in various aspects of chromosome biology reveals that physical interactions fall into two well-represented classes distinguished by whether or not the individual proteins act coherently to carry out a common function.
References
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Journal ArticleDOI

Cluster analysis and display of genome-wide expression patterns

TL;DR: A system of cluster analysis for genome-wide expression data from DNA microarray hybridization is described that uses standard statistical algorithms to arrange genes according to similarity in pattern of gene expression, finding in the budding yeast Saccharomyces cerevisiae that clustering gene expression data groups together efficiently genes of known similar function.
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A comprehensive analysis of protein–protein interactions in Saccharomyces cerevisiae

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.
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Functional profiling of the Saccharomyces cerevisiae genome.

Guri Giaever, +72 more
- 25 Jul 2002 - 
TL;DR: It is shown that previously known and new genes are necessary for optimal growth under six well-studied conditions: high salt, sorbitol, galactose, pH 8, minimal medium and nystatin treatment, and less than 7% of genes that exhibit a significant increase in messenger RNA expression are also required for optimal Growth in four of the tested conditions.
Journal ArticleDOI

Global analysis of protein localization in budding yeast

TL;DR: The construction and analysis of a collection of yeast strains expressing full-length, chromosomally tagged green fluorescent protein fusion proteins helps reveal the logic of transcriptional co-regulation, and provides a comprehensive view of interactions within and between organelles in eukaryotic cells.
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Functional profiling of the Saccharomyces cerevisiae genome.

Guri Giaever, +72 more
- 25 Jul 2002 -