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ID:
585213.0,
MPI für molekulare Zellbiologie und Genetik / Publikationen MPI-CBG 2011-arch |
A high-resolution C. elegans essential gene network based on phenotypic profiling of a complex tissue. |
Authors: | Green, Rebecca A; Kao, Huey-Ling; Audhya, Anjon; Arur, Swathi; Mayers, Jonathan R; Fridolfsson, Heidi N; Schulman, Monty; Schloissnig, Siegfried; Niessen, Sherry; Laband, Kimberley; Wang, Shaohe; Starr, Daniel A; Hyman, Anthony A.; Schedl, Tim; Desai, Arshad; Piano, Fabio; Gunsalus, Kristin C.; Oegema, Karen | Date of Publication (YYYY-MM-DD): | 2011 | Title of Journal: | Cell | Volume: | 145 | Issue / Number: | 3 | Start Page: | 470 | End Page: | 482 | Copyright: | not available | Audience: | Experts Only | Intended Educational Use: | No | Abstract / Description: | High-content screening for gene profiling has generally been limited to single cells. Here, we explore an alternative approach-profiling gene function by analyzing effects of gene knockdowns on the architecture of a complex tissue in a multicellular organism. We profile 554 essential C. elegans genes by imaging gonad architecture and scoring 94 phenotypic features. To generate a reference for evaluating methods for network construction, genes were manually partitioned into 102 phenotypic classes, predicting functions for uncharacterized genes across diverse cellular processes. Using this classification as a benchmark, we developed a robust computational method for constructing gene networks from high-content profiles based on a network context-dependent measure that ranks the significance of links between genes. Our analysis reveals that multi-parametric profiling in a complex tissue yields functional maps with a resolution similar to genetic interaction-based profiling in unicellular eukaryotes-pinpointing subunits of macromolecular complexes and components functioning in common cellular processes. | External Publication Status: | published | Document Type: | Article |
Communicated by: | thuem | Affiliations: | MPI für molekulare Zellbiologie und Genetik
| Identifiers: | LOCALID:4618 | |
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