ArticleCell systems2016
Exploring Quantitative Yeast Phenomics with Single-Cell Analysis of DNA Damage Foci.
Article in Cell systems, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.
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Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
19 citing papers in PubMed.
- The Smc5/6 complex counteracts R-loop formation at highly transcribed genes in cooperation with RNase H2.eLife · 2024Article
- Identification of different classes of genome instability suppressor genes through analysis of DNA damage response markers.G3 (Bethesda, Md.) · 2024Article
- Article
- Partners in crime: Tbf1 and Vid22 promote expansions of long human telomeric repeats at an interstitial chromosome position in yeast.PNAS nexus · 2022Article
- Phenomics approaches to understand genetic networks and gene function in yeast.Biochemical Society transactions · 2022Article
- VID22 counteracts G-quadruplex-induced genome instability.Nucleic acids research · 2021Article
- Single-cell image analysis to explore cell-to-cell heterogeneity in isogenic populations.Cell systems · 2021Review
- τ-SGA: synthetic genetic array analysis for systematically screening and quantifying trigenic interactions in yeast.Nature protocols · 2021Article
- Systematic High-Content Screening of Fluorescently Tagged Yeast Double Mutant Strains.Methods in molecular biology (Clifton, N.J.) · 2021Article
- High-Throughput Imaging of Arrays of Fluorescently Tagged Yeast Mutant Strains.Methods in molecular biology (Clifton, N.J.) · 2021Article
- The Smc5/6 Core Complex Is a Structure-Specific DNA Binding and Compacting Machine.Molecular cell · 2020Article
- TheCellVision.org: A Database for Visualizing and Mining High-Content Cell Imaging Projects.G3 (Bethesda, Md.) · 2020Article
- Genome-Wide Dynamic Evaluation of the UV-Induced DNA Damage Response.G3 (Bethesda, Md.) · 2020Article
- A Genome-Wide Screen for Genes Affecting Spontaneous Direct-Repeat Recombination inG3 (Bethesda, Md.) · 2020Article
- Systematic genetics and single-cell imaging reveal widespread morphological pleiotropy and cell-to-cell variability.Molecular systems biology · 2020Article
- Evolution-based screening enables genome-wide prioritization and discovery of DNA repair genes.Proceedings of the National Academy of Sciences of the United States of America · 2019Article
- Article
- Automated analysis of high-content microscopy data with deep learning.Molecular systems biology · 2017Article
- Systematic epistatic mapping of cellular processes.Cell division · 2017Article
Corrections and comments
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Authors and funding
24 authors.
Funding
Abstract
A significant challenge of functional genomics is to develop methods for genome-scale acquisition and analysis of cell biological data. Here, we present an integrated method that combines genome-wide genetic perturbation of Saccharomyces cerevisiae with high-content screening to facilitate the genetic description of sub-cellular structures and compartment morphology. As proof of principle, we used a Rad52-GFP marker to examine DNA damage foci in ∼20 million single cells from ∼5,000 different mutant backgrounds in the context of selected genetic or chemical perturbations. Phenotypes were classified using a machine learning-based automated image analysis pipeline. 345 mutants were identified that had elevated numbers of DNA damage foci, almost half of which were identified only in sensitized backgrounds. Subsequent analysis of Vid22, a protein implicated in the DNA damage response, revealed that it acts together with the Sgs1 helicase at sites of DNA damage and preferentially binds G-quadruplex regions of the genome. This approach is extensible to numerous other cell biological markers and experimental systems.
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Registered trials
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.