ReviewCurrent opinion in genetics & development2020
Lighting up single-mRNA translation dynamics in living cells.
Review in Current opinion in genetics & development, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
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
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.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
14 citing papers in PubMed.
- Eukaryotic translation initiation factor 4F: functional properties and physiological role.Nucleic acids research · 2025Review
- Methods in quantitative biology-from analysis of single-cell microscopy images to inference of predictive models for stochastic gene expression.Physical biology · 2025Review
- Imaging and Quantifying Ribosomal Frameshifting Dynamics with Single-RNA Precision in Live Cells.Methods in molecular biology (Clifton, N.J.) · 2025Article
- Article
- Single-molecule visualization of mRNA circularization during translation.Experimental & molecular medicine · 2023Review
- Gene expression model inference from snapshot RNA data using Bayesian non-parametrics.Nature computational science · 2023Article
- Using Mechanistic Models and Machine Learning to Design Single-Color Multiplexed Nascent Chain Tracking Experiments.bioRxiv : the preprint server for biology · 2023Article
- Using mechanistic models and machine learning to design single-color multiplexed nascent chain tracking experiments.Frontiers in cell and developmental biology · 2023Article
- Imaging translational control by Argonaute with single-molecule resolution in live cells.Nature communications · 2022Article
- A Multi-color Bicistronic Biosensor to Compare the Translation Dynamics of Different Open Reading Frames at Single-molecule Resolution in Live Cells.Bio-protocol · 2021Article
- Single-Molecule Imaging in Living Plant Cells: A Methodological Review.International journal of molecular sciences · 2021Review
- Natural Killer Cell Integrins and Their Functions in Tissue Residency.Frontiers in immunology · 2021Review
- A Picture Worth a Thousand Molecules-Integrative Technologies for Mapping Subcellular Molecular Organization and Plasticity in Developing Circuits.Frontiers in synaptic neuroscience · 2020Article
- Utilizing functional cell-free extracts to dissect ribonucleoprotein complex biology at single-molecule resolution.Wiley interdisciplinary reviews. RNAReview
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
Abstract
Over the past five years, technological advances have made it possible to image the translation of single mRNA in the natural context of living cells. With these advances, researchers are beginning to shed light on when, where, and to what degree mRNA are translated with single-molecule precision. These works provide insight into the heterogeneity of translation amongst single transcripts, behavior that is averaged out in complementary bulk assays. In this review, we discuss the rapidly maturing field of live-cell, single-mRNA imaging of translation, beginning with a brief overview of recent technological advances. The remainder of the review focuses on the new biological insights gained from these technologies. We conclude with a discussion of the future of this technology.
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What OpenQuestion holds
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.