ReviewCurrent opinion in genetics & development2011
What do expression dynamics tell us about the mechanism of transcription?
Review in Current opinion in genetics & development, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 44 papers.
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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
44 citing papers in PubMed.
- Using the simple telegraph model to decipher transcriptional burst regulation across genome-wide data.iScience · 2026Article
- Quantifying cell fate change under different stochastic gene activation frameworks.Quantitative biology (Beijing, China) · 2025Article
- Transcriptional silencing in Saccharomyces cerevisiae: known unknowns.Epigenetics & chromatin · 2024Review
- What can we learn when fitting a simple telegraph model to a complex gene expression model?PLoS computational biology · 2024Article
- Epigenomic states contribute to coordinated allelic transcriptional bursting in iPSC reprogramming.Life science alliance · 2024Article
- Liver transcriptome analyses of acute poisoning and recovery of male ICR mice exposed to the mushroom toxin α-amanitin.Archives of toxicology · 2022Article
- Unveiling RCOR1 as a rheostat at transcriptionally permissive chromatin.Nature communications · 2022Article
- Using average transcription level to understand the regulation of stochastic gene activation.Royal Society open science · 2022Article
- Semicoordinated allelic-bursting shape dynamic random monoallelic expression in pregastrulation embryos.iScience · 2021Article
- Genome-wide off-rates reveal how DNA binding dynamics shape transcription factor function.Molecular systems biology · 2020Article
- Regulation of Gene Activation by Competitive Cross Talking Pathways.Biophysical journal · 2020Article
- Constraining the complexity of promoter dynamics using fluctuations in gene expression.Physical biology · 2019Article
- Simulating multiple faceted variability in single cell RNA sequencing.Nature communications · 2019Article
- Disentangling juxtacrine from paracrine signalling in dynamic tissue.PLoS computational biology · 2019Article
- Revealing Dynamic Mechanisms of Cell Fate Decisions From Single-Cell Transcriptomic Data.Frontiers in genetics · 2019Article
- Modulation of transcriptional burst frequency by histone acetylation.Proceedings of the National Academy of Sciences of the United States of America · 2018Article
- Assessing sufficiency and necessity of enhancer activities for gene expression and the mechanisms of transcription activation.Genes & development · 2018Review
- Sequence Determinants for Nuclear Retention and Cytoplasmic Export of mRNAs and lncRNAs.Frontiers in genetics · 2018Review
- Inferring gene regulatory networks from single-cell data: a mechanistic approach.BMC systems biology · 2017Article
- Effect of Interaction between Chromatin Loops on Cell-to-Cell Variability in Gene Expression.PLoS computational biology · 2016Article
Corrections and comments
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Authors and funding
1 author.
Funding
Abstract
Single-cell microscopy studies have the potential to provide an unprecedented view of gene expression with exquisite spatial and temporal sensitivity. However, there is a challenge to connect the holistic cellular view with a reductionist biochemical view. In particular, experimental efforts to characterize the in vivo regulation of transcription have focused primarily on measurements of the dynamics of transcription factors and chromatin modifying factors. Such measurements have elucidated the transient nature of many nuclear interactions. In the past few years, experimental approaches have emerged that allow for interrogation of the output of transcription at the single-molecule, single-cell level. Here, I summarize the experimental results and models that aim to provide an integrated view of transcriptional regulation.
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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.