ArticleG3 (Bethesda, Md.)2015
CYCLoPs: A Comprehensive Database Constructed from Automated Analysis of Protein Abundance and Subcellular Localization Patterns in Saccharomyces cerevisiae.
Article in G3 (Bethesda, Md.), 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 53 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
53 citing papers in PubMed, 87 citations in OpenAlex.
- Towards the construction of a virtual yeast.Nature · 2026Review
- Hoi1 targets BLTP2 to ER-PM contact sites to regulate lipid homeostasis.The Journal of cell biology · 2026Article
- The Hemoprotein Hhy1 Promotes Heme-Dependent Catalase Activity of Ctt1.Molecular microbiology · 2026Article
- Experimental assessment of AI-based interactome mapping.Nature communications · 2026Article
- A screen for synthetic genetic interactions with the Saccharomyces cerevisiae hrq1ΔN allele.G3 (Bethesda, Md.) · 2025Article
- PARPAL: PARalog Protein redistribution using Abundance and Localization in yeast database.G3 (Bethesda, Md.) · 2025Article
- Single-cell imaging of protein dynamics of paralogs reveals sources of gene retention.iScience · 2025Article
- Current and novel approaches in yeast cell death research.Cell death and differentiation · 2025Review
- Recent Advancements in Subcellular Proteomics: Growing Impact of Organellar Protein Niches on the Understanding of Cell Biology.Journal of proteome research · 2024Review
- Expanding TheCellVision.org: a central repository for visualizing and mining high-content cell imaging projects.Genetics · 2024Article
- PIFiA: self-supervised approach for protein functional annotation from single-cell imaging data.Molecular systems biology · 2024Article
- Using Dimensionality Reduction to Visualize Phenotypic Changes in High-Throughput Microscopy.Methods in molecular biology (Clifton, N.J.) · 2024Article
- A vast evolutionarily transient translatome contributes to phenotype and fitness.Cell systems · 2023Article
- Subcellular Transcriptomics and Proteomics: A Comparative Methods Review.Molecular & cellular proteomics : MCP · 2022Review
- Switching a conflicted bacterial DTD-tRNA code is essential for the emergence of mitochondria.Science advances · 2022Article
- Unveiling Forkhead-mediated regulation of yeast cell cycle and metabolic networks.Computational and structural biotechnology journal · 2022Article
- A deep dive into the RecQ interactome: something old and something new.Current genetics · 2021Review
- Comprehensive Synthetic Genetic Array Analysis of Alleles That Interact with Mutation of theG3 (Bethesda, Md.) · 2020Article
- The Genetic and Physical Interactomes of theG3 (Bethesda, Md.) · 2020Article
- TheCellVision.org: A Database for Visualizing and Mining High-Content Cell Imaging Projects.G3 (Bethesda, Md.) · 2020Article
Corrections and comments
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Authors and funding
7 authors at 1 institution in 1 country.
Funding
Abstract
Changes in protein subcellular localization and abundance are central to biological regulation in eukaryotic cells. Quantitative measures of protein dynamics in vivo are therefore highly useful for elucidating specific regulatory pathways. Using a combinatorial approach of yeast synthetic genetic array technology, high-content screening, and machine learning classifiers, we developed an automated platform to characterize protein localization and abundance patterns from images of log phase cells from the open-reading frame-green fluorescent protein collection in the budding yeast, Saccharomyces cerevisiae. For each protein, we produced quantitative profiles of localization scores for 16 subcellular compartments at single-cell resolution to trace proteome-wide relocalization in conditions over time. We generated a collection of ∼300,000 micrographs, comprising more than 20 million cells and ∼9 billion quantitative measurements. The images depict the localization and abundance dynamics of more than 4000 proteins under two chemical treatments and in a selected mutant background. Here, we describe CYCLoPs (Collection of Yeast Cells Localization Patterns), a web database resource that provides a central platform for housing and analyzing our yeast proteome dynamics datasets at the single cell level. CYCLoPs version 1.0 is available at http://cyclops.ccbr.utoronto.ca. CYCLoPs will provide a valuable resource for the yeast and eukaryotic cell biology communities and will be updated as new experiments become available.
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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.