ArticleBiophysical journal2011
Comparison and calibration of different reporters for quantitative analysis of gene expression.
Article in Biophysical journal, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.
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Who cites it
15 citing papers in PubMed, 31 citations in OpenAlex.
- The adaptive landscapes of three globaleLife · 2026Article
- The highly rugged yet navigable regulatory landscape of the bacterial transcription factor TetR.Nature communications · 2024Article
- Growth-mediated negative feedback shapes quantitative antibiotic response.Molecular systems biology · 2022Article
- Tunable transcription factor library for robust quantification of regulatory properties in Escherichia coli.Molecular systems biology · 2022Article
- Article
- Mechanisms of drug interactions between translation-inhibiting antibiotics.Nature communications · 2020Article
- Comprehensive Profiling of Diverse Genetic Reporters with Application to Whole-Cell and Cell-Free Biosensors.Analytical chemistry · 2019Article
- Distinct mechanisms coordinate transcription and translation under carbon and nitrogen starvation in Escherichia coli.Nature microbiology · 2018Article
- Tuning Transcriptional Regulation through Signaling: A Predictive Theory of Allosteric Induction.Cell systems · 2018Article
- Single vector non-leaky gene expression system for Drosophila melanogaster.Scientific reports · 2017Article
- A computational framework for analyzing stochasticity in gene expression.PLoS computational biology · 2014Article
- Operator sequence alters gene expression independently of transcription factor occupancy in bacteria.Cell reports · 2012Article
- Tuning promoter strength through RNA polymerase binding site design in Escherichia coli.PLoS computational biology · 2012Article
- Article
- Single molecule fluorescence study of the Bacillus thuringiensis toxin Cry1Aa reveals tetramerization.The Journal of biological chemistry · 2011Article
Corrections and comments
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Authors and funding
4 authors at 1 institution in 1 country.
Funding
Abstract
Absolute levels of gene expression in bacteria are observed to vary over as much as six orders of magnitude. Thermodynamic models have been proposed as a tool to describe the expression levels of a given transcriptional circuit. In this context, it is essential to understand both the limitations and linear range of the different methods for measuring gene expression and to determine to what extent measurements from different reporters can be directly compared with one aim being the stringent testing of theoretical descriptions of gene expression. In this article, we compare two protein reporters by measuring both the absolute level of expression and fold-change in expression using the fluorescent protein EYFP and the enzymatic reporter β-galactosidase. We determine their dynamic and linear range and show that they are interchangeable for measuring mean levels of expression over four orders of magnitude. By calibrating these reporters such that they can be interpreted in terms of absolute molecular counts, we establish limits for their applicability: autofluorescence on the lower end of expression for EYFP (at ∼10 molecules per cell) and interference with cellular growth on the high end for β-galactosidase (at ∼20,000 molecules per cell). These qualities make the reporters complementary and necessary when trying to experimentally verify the predictions from the theoretical models.
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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.