ArticlePLoS computational biology2020
Heterogeneity coordinates bacterial multi-gene expression in single cells.
Article in PLoS computational biology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 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
13 citing papers in PubMed.
- Exploring single-cell biosynthetic noise and dynamics for enhanced betaxanthin production in Escherichia coli.Nature communications · 2025Article
- (p)ppGpp mediates persister formation inFrontiers in microbiology · 2025Article
- Single-cell RNA sequencing reveals plasmid constrains bacterial population heterogeneity and identifies a non-conjugating subpopulation.Nature communications · 2024Article
- Genome-wide promoter responses to CRISPR perturbations of regulators reveal regulatory networks in Escherichia coli.Nature communications · 2023Article
- Growth Feedback Confers Cooperativity in Resource-Competing Synthetic Gene Circuits.Chaos, solitons, and fractals · 2023Article
- Bi-terminal fusion of intrinsically-disordered mussel foot protein fragments boosts mechanical strength for protein fibers.Nature communications · 2023Article
- Applications and Tuning Strategies for Transcription Factor-Based Metabolite Biosensors.Biosensors · 2023Review
- Diverse mechanisms of bioproduction heterogeneity in fermentation and their control strategies.Journal of industrial microbiology & biotechnology · 2023Review
- The Growth Dependent Design Constraints of Transcription-Factor-Based Metabolite Biosensors.ACS synthetic biology · 2022Article
- Practical observations on the use of fluorescent reporter systems in Clostridioides difficile.Antonie van Leeuwenhoek · 2022Article
- Accelerating Whole-Cell Simulations of mRNA Translation Using a Dedicated Hardware.ACS synthetic biology · 2021Article
- Massively parallel gene expression variation measurement of a synonymous codon library.BMC genomics · 2021Article
- Control strategies to manage trade-offs during microbial production.Current opinion in biotechnology · 2020Review
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
For a genetically identical microbial population, multi-gene expression in various environments requires effective allocation of limited resources and precise control of heterogeneity among individual cells. However, it is unclear how resource allocation and cell-to-cell variation jointly shape the overall performance. Here we demonstrate a Simpson's paradox during overexpression of multiple genes: two competing proteins in single cells correlated positively for every induction condition, but the overall correlation was negative. Yet this phenomenon was not observed between two competing mRNAs in single cells. Our analytical framework shows that the phenomenon arises from competition for translational resource, with the correlation modulated by both mRNA and ribosome variability. Thus, heterogeneity plays a key role in single-cell multi-gene expression and provides the population with an evolutionary advantage, as demonstrated in this study.
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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.