ArticleCell systems2026
Single-cell transcriptional dynamics in a living vertebrate.
Article in Cell systems, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 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
6 citing papers in PubMed.
- Real-time single-molecule imaging in zebrafish embryos uncovers noncanonical translation.Science advances · 2026Article
- Signal control during tissue regeneration in adult animals.Nature reviews. Molecular cell biology · 2026Review
- Timing is everything: transcription bursting in development.Genes & development · 2025Review
- A simple MiMIC-based approach for tagging endogenous genes to visualise live transcription in Drosophila.Development (Cambridge, England) · 2024Article
- Optogenetic dissection of transcriptional repression in a multicellular organism.Nature communications · 2024Article
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16 authors.
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Abstract
The ability to follow transcription in individual cells with live imaging has revealed key dynamical mechanisms of gene regulation. However, such measurements are lacking in the context of vertebrate embryos. We addressed this deficit by applying MS2-MCP mRNA labeling to the quantification of transcription in zebrafish, a model vertebrate. We developed a platform of transgenic organisms, light-sheet fluorescence microscopy, and optimized image analysis that enables visualization and quantification of MS2 reporters. With these tools, we obtained single-cell, real-time measurements of the transcriptional dynamics of the segmentation clock. Our measurements reveal that smooth clock protein oscillations arise from discrete transcriptional bursts that are organized in space and time. Together, these results highlight how measuring single-cell transcriptional activity in the context of vertebrate organisms can reveal unexpected features of gene regulation and how this data can fuel the dialogue between theory and experiment.
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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.