ReviewNature reviews. Microbiology2009
Using movies to analyse gene circuit dynamics in single cells.
Review in Nature reviews. Microbiology, 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 114 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
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.
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Who cites it
114 citing papers in PubMed.
- Evolutionary rescue of sphericaleLife · 2025Article
- Gradient matching accelerates mixed-effects inference for biochemical networks.Bioinformatics (Oxford, England) · 2025Article
- Advanced methods for gene network identification and noise decomposition from single-cell data.Nature communications · 2024Article
- Quantitative microbiology with widefield microscopy: navigating optical artefacts for accurate interpretations.Npj imaging · 2024Article
- Determining growth rates from bright-field images of budding cells through identifying overlaps.eLife · 2023Article
- Probe-based bacterial single-cell RNA sequencing predicts toxin regulation.Nature microbiology · 2023Article
- Estimating and Assessing Differential Equation Models with Time-Course Data.The journal of physical chemistry. B · 2023Article
- Long-term label-free assessments of individual bacteria using three-dimensional quantitative phase imaging and hydrogel-based immobilization.Scientific reports · 2023Article
- Monitoring lineages of growing and dividing bacteria reveals an inducible memory ofFrontiers in microbiology · 2023Article
- Article
- Profiling transcription factor activity dynamics using intronic reads in time-series transcriptome data.PLoS computational biology · 2022Article
- Microfluidic Single-Cell Analytics.Advances in biochemical engineering/biotechnology · 2022Article
- Analytics and visualization tools to characterize single-cell stochasticity using bacterial single-cell movie cytometry data.BMC bioinformatics · 2021Article
- Quantitative measurements of early alphaviral replication dynamics in single cells reveals the basis for superinfection exclusion.Cell systems · 2021Article
- Microbial single-cell RNA sequencing by split-pool barcoding.Science (New York, N.Y.) · 2021Article
- Identifiability analysis for stochastic differential equation models in systems biology.Journal of the Royal Society, Interface · 2020Article
- Bacterial Vivisection: How Fluorescence-Based Imaging Techniques Shed a Light on the Inner Workings of Bacteria.Microbiology and molecular biology reviews : MMBR · 2020Review
- Single-cell bacterial transcription measurements reveal the importance of dimethylsulfoniopropionate (DMSP) hotspots in ocean sulfur cycling.Nature communications · 2020Article
- Using fluorescence flow cytometry data for single-cell gene expression analysis in bacteria.PloS one · 2020Article
- Estimating numbers of intracellular molecules through analysing fluctuations in photobleaching.Scientific reports · 2019Article
54 more citing papers are in PubMed but not listed here.
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.
Funding
Abstract
Many bacterial systems rely on dynamic genetic circuits to control crucial biological processes. A major goal of systems biology is to understand these behaviours in terms of individual genes and their interactions. However, traditional techniques based on population averages 'wash out' crucial dynamics that are either unsynchronized between cells or are driven by fluctuations, or 'noise', in cellular components. Recently, the combination of time-lapse microscopy, quantitative image analysis and fluorescent protein reporters has enabled direct observation of multiple cellular components over time in individual cells. In conjunction with mathematical modelling, these techniques are now providing powerful insights into genetic circuit behaviour in diverse microbial systems.
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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.