ArticleMolecular biology of the cell2016
A genetic interaction map of cell cycle regulators.
Article in Molecular biology of the cell, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.
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Who cites it
17 citing papers in PubMed, 29 citations in OpenAlex.
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- RNA Interference (RNAi) Screening in Cultured Drosophila Cells.Methods in molecular biology (Clifton, N.J.) · 2021Article
- Genetic interaction profiles of regulatory kinases differ between environmental conditions and cellular states.Molecular systems biology · 2020Article
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- Genome-wide RNAi screen in Drosophila reveals Enok as a novel trithorax group regulator.Epigenetics & chromatin · 2019Article
- The ability of transcription factors to differentially regulate gene expression is a crucial component of the mechanism underlying inversion, a frequently observed genetic interaction pattern.PLoS computational biology · 2019Article
- The True Story ofFrontiers in physiology · 2019Review
- RNA Interference (RNAi) Screening inGenetics · 2018Article
- Widespread Rewiring of Genetic Networks upon Cancer Signaling Pathway Activation.Cell systems · 2018Article
- How can functional annotations be derived from profiles of phenotypic annotations?BMC bioinformatics · 2017Article
- Systematic epistatic mapping of cellular processes.Cell division · 2017Article
- A genome-wide screen to identify genes controlling the rate of entry into mitosis in fission yeast.Cell cycle (Georgetown, Tex.) · 2016Article
Corrections and comments
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Authors and funding
6 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Cell-based RNA interference (RNAi) is a powerful approach to screen for modulators of many cellular processes. However, resulting candidate gene lists from cell-based assays comprise diverse effectors, both direct and indirect, and further dissecting their functions can be challenging. Here we screened a genome-wide RNAi library for modulators of mitosis and cytokinesis inDrosophilaS2 cells. The screen identified many previously known genes as well as modulators that have previously not been connected to cell cycle control. We then characterized ∼300 candidate modifiers further by genetic interaction analysis using double RNAi and a multiparametric, imaging-based assay. We found that analyzing cell cycle-relevant phenotypes increased the sensitivity for associating novel gene function. Genetic interaction maps based on mitotic index and nuclear size grouped candidates into known regulatory complexes of mitosis or cytokinesis, respectively, and predicted previously uncharacterized components of known processes. For example, we confirmed a role for theDrosophilaCCR4 mRNA processing complex componentl(2)NC136during the mitotic exit. Our results show that the combination of genome-scale RNAi screening and genetic interaction analysis using process-directed phenotypes provides a powerful two-step approach to assigning components to specific pathways and complexes.
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.