ArticleACS synthetic biology2022
Quantification of Microbial Robustness in Yeast.
Article in ACS synthetic biology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.
What it found
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Who cites it
12 citing papers in PubMed.
- Proteome-informed interrogation of a methanogenic archaeon links stress response mechanisms with microbial performance and robustness during biomethanation.Engineering microbiology · 2026Article
- Effects of RIM15 deletion on yeast adaptation to synthetic spruce hydrolysate.Microbial cell factories · 2026Article
- Effect of the biomass production conditions on survival of the probiotic yeast Saccharomyces cerevisiae var. boulardii in a laboratory model of the gastrointestinal tract.Microbial cell factories · 2026Article
- Dual spatio-functional control of a fission yeast-based bioprocessor upon chemical induction.RSC chemical biology · 2026Article
- Polyphosphate Accumulation Is Determined by Zinc and Inositol in Saccharomyces cerevisiae.Yeast (Chichester, England) · 2025Article
- Physiology and Robustness of Yeasts Exposed to Dynamic pH and Glucose Environments.Biotechnology and bioengineering · 2025Article
- Robustness of theBioengineering (Basel, Switzerland) · 2025Article
- Robustness quantification of a mutant library screen revealed key genetic markers in yeast.Microbial cell factories · 2024Article
- Quantifying microbial robustness in dynamic environments using microfluidic single-cell cultivation.Microbial cell factories · 2024Article
- Performance and robustness analysis reveals phenotypic trade-offs in yeast.Life science alliance · 2024Article
- Four ways of implementing robustness quantification in strain characterisation.Biotechnology for biofuels and bioproducts · 2023Article
- Identification of acetic acid sensitive strains through biosensor-based screening of a Saccharomyces cerevisiae CRISPRi library.Microbial cell factories · 2022Article
Corrections and comments
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Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Stable cell performance in a fluctuating environment is essential for sustainable bioproduction and synthetic cell functionality; however, microbial robustness is rarely quantified. Here, we describe a high-throughput strategy for quantifying robustness of multiple cellular functions and strains in a perturbation space. We evaluated quantification theory on experimental data and concluded that the mean-normalized Fano factor allowed accurate, reliable, and standardized quantification. Our methodology applied to perturbations related to lignocellulosic bioethanol production showed that the industrial bioethanol producing strain
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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.