Abstract:
:We present a strategy for generating and analyzing comprehensive genetic-interaction maps, termed E-MAPs (epistatic miniarray profiles), comprising quantitative measures of aggravating or alleviating interactions between gene pairs. Crucial to the interpretation of E-MAPs is their high-density nature made possible by focusing on logically connected gene subsets and including essential genes. Described here is the analysis of an E-MAP of genes acting in the yeast early secretory pathway. Hierarchical clustering, together with novel analytical strategies and experimental verification, revealed or clarified the role of many proteins involved in extensively studied processes such as sphingolipid metabolism and retention of HDEL proteins. At a broader level, analysis of the E-MAP delineated pathway organization and components of physical complexes and illustrated the interconnection between the various secretory processes. Extension of this strategy to other logically connected gene subsets in yeast and higher eukaryotes should provide critical insights into the functional/organizational principles of biological systems.
journal_name
Celljournal_title
Cellauthors
Schuldiner M,Collins SR,Thompson NJ,Denic V,Bhamidipati A,Punna T,Ihmels J,Andrews B,Boone C,Greenblatt JF,Weissman JS,Krogan NJdoi
10.1016/j.cell.2005.08.031subject
Has Abstractpub_date
2005-11-04 00:00:00pages
507-19issue
3eissn
0092-8674issn
1097-4172pii
S0092-8674(05)00868-8journal_volume
123pub_type
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