ArticleeLife2018
Integrating images from multiple microscopy screens reveals diverse patterns of change in the subcellular localization of proteins.
Article in eLife, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 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.
The trial behind it
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Who cites it
17 citing papers in PubMed.
- Stress Granule Sequestration of CCR4-NOT Promotes Poly(A) Lengthening of Stress-Survival Transcripts.bioRxiv : the preprint server for biology · 2026Article
- Single-cell imaging of protein dynamics of paralogs reveals sources of gene retention.iScience · 2025Article
- Recent Advancements in Subcellular Proteomics: Growing Impact of Organellar Protein Niches on the Understanding of Cell Biology.Journal of proteome research · 2024Review
- Microsnoop: A generalist tool for microscopy image representation.Innovation (Cambridge (Mass.)) · 2024Article
- Using Dimensionality Reduction to Visualize Phenotypic Changes in High-Throughput Microscopy.Methods in molecular biology (Clifton, N.J.) · 2024Article
- Quantitative Characterisation of Low Abundant Yeast Mitochondrial Proteins Reveals Compensation for Haplo-Insufficiency in Different Environments.International journal of molecular sciences · 2022Article
- Subcellular Transcriptomics and Proteomics: A Comparative Methods Review.Molecular & cellular proteomics : MCP · 2022Review
- Single-cell image analysis to explore cell-to-cell heterogeneity in isogenic populations.Cell systems · 2021Review
- Challenges facing quantitative large-scale optical super-resolution, and some simple solutions.iScience · 2021Review
- Subcellular proteomics.Nature reviews. Methods primers · 2021Article
- Yeast Rgd3 is a phospho-regulated F-BAR-containing RhoGAP involved in the regulation of Rho3 distribution and cell morphology.Molecular biology of the cell · 2020Article
- Organellar Maps Through Proteomic Profiling - A Conceptual Guide.Molecular & cellular proteomics : MCP · 2020Review
- Pinpointing Cell Identity in Time and Space.Frontiers in molecular biosciences · 2020Article
- Learning unsupervised feature representations for single cell microscopy images with paired cell inpainting.PLoS computational biology · 2019Article
- Spatial proteomics: a powerful discovery tool for cell biology.Nature reviews. Molecular cell biology · 2019Review
- YeastRGB: comparing the abundance and localization of yeast proteins across cells and libraries.Nucleic acids research · 2019Article
- Extracting and Integrating Protein Localization Changes from Multiple Image Screens of Yeast Cells.Bio-protocol · 2018Article
Corrections and comments
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Authors and funding
8 authors.
Funding
Abstract
The evaluation of protein localization changes on a systematic level is a powerful tool for understanding how cells respond to environmental, chemical, or genetic perturbations. To date, work in understanding these proteomic responses through high-throughput imaging has catalogued localization changes independently for each perturbation. To distinguish changes that are targeted responses to the specific perturbation or more generalized programs, we developed a scalable approach to visualize the localization behavior of proteins across multiple experiments as a quantitative pattern. By applying this approach to 24 experimental screens consisting of nearly 400,000 images, we differentiated specific responses from more generalized ones, discovered nuance in the localization behavior of stress-responsive proteins, and formed hypotheses by clustering proteins that have similar patterns. Previous approaches aim to capture all localization changes for a single screen as accurately as possible, whereas our work aims to integrate large amounts of imaging data to find unexpected new cell biology.
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Registered trials
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