ArticleEssays in biochemistry2021
Challenges of analysing stochastic gene expression in bacteria using single-cell time-lapse experiments.
Article in Essays in biochemistry, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.
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Who cites it
13 citing papers in PubMed.
- Probing Antibiotic Inhibition in Small Bacterial Populations With Combinatorial Droplet Microfluidics.Small science · 2026Article
- Uncoupling growth and division inISME communications · 2025Article
- Structural and functional analyses of nematode-derived antimicrobial peptides support the occurrence of direct mechanisms of worm-microbiota interactions.Computational and structural biotechnology journal · 2024Article
- Scaling of stochastic growth and division dynamics: A comparative study of individual rod-shaped cells in the Mother Machine and SChemostat platforms.Molecular biology of the cell · 2024Article
- Cross-evaluation of E. coli's operon structures via a whole-cell model suggests alternative cellular benefits for low- versus high-expressing operons.Cell systems · 2024Article
- Quantitative microbiology with widefield microscopy: navigating optical artefacts for accurate interpretations.Npj imaging · 2024Article
- Synthetic Micrographs of Bacteria (SyMBac) allows accurate segmentation of bacterial cells using deep neural networks.BMC biology · 2022Article
- Quantifying biochemical reaction rates from static population variability within incompletely observed complex networks.PLoS computational biology · 2022Article
- Optimization and Fabrication of Multi-Level Microchannels for Long-Term Imaging of Bacterial Growth and Expansion.Micromachines · 2022Article
- Microfluidics for long-term single-cell time-lapse microscopy: Advances and applications.Frontiers in bioengineering and biotechnology · 2022Review
- Single-Cell Technologies to Study Phenotypic Heterogeneity and Bacterial Persisters.Microorganisms · 2021Review
- Biochemistry: one molecule at a time.Essays in biochemistry · 2021Article
- Understanding spatiotemporal coupling of gene expression using single molecule RNA imaging technologies.TranscriptionArticle
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2 authors.
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Abstract
Stochastic gene expression causes phenotypic heterogeneity in a population of genetically identical bacterial cells. Such non-genetic heterogeneity can have important consequences for the population fitness, and therefore cells implement regulation strategies to either suppress or exploit such heterogeneity to adapt to their circumstances. By employing time-lapse microscopy of single cells, the fluctuation dynamics of gene expression may be analysed, and their regulatory mechanisms thus deciphered. However, a careful consideration of the experimental design and data-analysis is needed to produce useful data for deriving meaningful insights from them. In the present paper, the individual steps and challenges involved in a time-lapse experiment are discussed, and a rigorous framework for designing, performing, and extracting single-cell gene expression dynamics data from such experiments is outlined.
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