ArticleScientific reports2019
Estimating numbers of intracellular molecules through analysing fluctuations in photobleaching.
Article in Scientific reports, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
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Who cites it
5 citing papers in PubMed.
- Tunable transcription factor library for robust quantification of regulatory properties in Escherichia coli.Molecular systems biology · 2022Article
- Photobleaching step analysis for robust determination of protein complex stoichiometries.Molecular biology of the cell · 2021Article
- Real-time single-cell characterization of the eukaryotic transcription cycle reveals correlations between RNA initiation, elongation, and cleavage.PLoS computational biology · 2021Article
- Computation of Single-Cell Metabolite Distributions Using Mixture Models.Frontiers in cell and developmental biology · 2020Article
- Resolving fluorescent species by their brightness and diffusion using correlated photon-counting histograms.PloS one · 2019Article
Corrections and comments
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Authors and funding
2 authors.
Funding
Abstract
The impact of fluorescence microscopy has been limited by the difficulties of expressing measurements of fluorescent proteins in numbers of molecules. Absolute numbers enable the integration of results from different laboratories, empower mathematical modelling, and are the bedrock for a quantitative, predictive biology. Here we propose an estimator to infer numbers of molecules from fluctuations in the photobleaching of proteins tagged with Green Fluorescent Protein. Performing experiments in budding yeast, we show that our estimates of numbers agree, within an order of magnitude, with published biochemical measurements, for all six proteins tested. The experiments we require are straightforward and use only a wide-field fluorescence microscope. As such, our approach has the potential to become standard for those practising quantitative fluorescence microscopy.
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