ReviewEMBO reports2012
Transcription goes digital.
Review in EMBO reports, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 47 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
47 citing papers in PubMed, 81 citations in OpenAlex.
- Review
- A simple MiMIC-based approach for tagging endogenous genes to visualise live transcription in Drosophila.Development (Cambridge, England) · 2024Article
- Article
- Unified bursting strategies in ectopic and endogenousbioRxiv : the preprint server for biology · 2024Article
- BurstDECONV: a signal deconvolution method to uncover mechanisms of transcriptional bursting in live cells.Nucleic acids research · 2023Article
- Inferring gene regulation from stochastic transcriptional variation across single cells at steady state.Proceedings of the National Academy of Sciences of the United States of America · 2022Article
- The study of single cells in diabetic kidney disease.Journal of nephrology · 2021Review
- Crystallin gene expression: Insights from studies of transcriptional bursting.Experimental eye research · 2021Review
- Live-cell imaging reveals the spatiotemporal organization of endogenous RNA polymerase II phosphorylation at a single gene.Nature communications · 2021Article
- Single-particle imaging of stress-promoters induction reveals the interplay between MAPK signaling, chromatin and transcription factors.Nature communications · 2020Article
- Imaging of DNA and RNA in Living Eukaryotic Cells to Reveal Spatiotemporal Dynamics of Gene Expression.Annual review of biochemistry · 2020Review
- Stochastic Gene Expression Influences the Selection of Antibiotic Resistance Mutations.Molecular biology and evolution · 2020Article
- Stochastic transcription in the p53-mediated response to DNA damage is modulated by burst frequency.Molecular systems biology · 2019Article
- Live-Cell Single RNA Imaging Reveals Bursts of Translational Frameshifting.Molecular cell · 2019Article
- First-passage time statistics of stochastic transcription process for time-dependent reaction rates.The European physical journal. E, Soft matter · 2019Article
- Gene transcription in bursting: a unified mode for realizing accuracy and stochasticity.Biological reviews of the Cambridge Philosophical Society · 2019Article
- Temporal control of gene expression by the pioneer factor Zelda through transient interactions in hubs.Nature communications · 2018Article
- Imaging the Life and Death of mRNAs in Single Cells.Cold Spring Harbor perspectives in biology · 2018Review
- Quantifying Single mRNA Translation Kinetics in Living Cells.Cold Spring Harbor perspectives in biology · 2018Review
- Diverse Spatial Expression Patterns Emerge from Unified Kinetics of Transcriptional Bursting.Cell · 2018Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors at 1 institution in 1 country.
Funding
Abstract
Transcription is a complex process that integrates the state of the cell and its environment to generate adequate responses for cell fitness and survival. Recent microscopy experiments have been able to monitor transcription from single genes in individual cells. These observations have revealed two striking features: transcriptional activity can vary markedly from one cell to another, and is subject to large changes over time, sometimes within minutes. How the chromatin structure, transcription machinery assembly and signalling networks generate such patterns is still unclear. In this review, we present the techniques used to investigate transcription from single genes, introduce quantitative modelling tools, and discuss transcription mechanisms and their implications for gene expression regulation.
Indexed as
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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.