ArticleMicrobial cell factories2024
'Mother(Nature) knows best' - hijacking nature-designed transcriptional programs for enhancing stress resistance and protein production in Yarrowia lipolytica; presentation of YaliFunTome database.
Article in Microbial cell factories, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
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Who cites it
8 citing papers in PubMed, 11 citations in OpenAlex.
- Transcriptional reprogramming of the stress response and translational-secretory machinery enhances recombinant secreted protein production in Yarrowia lipolytica.Microbial cell factories · 2026Article
- Phenotyping transcription factors-related genotypes in Y. lipolytica across a range of industrially relevant process parameters and chemical stress conditions.Microbial cell factories · 2026Article
- Overexpression of msnA reprograms metabolism to enhance recombinant protein secretion across Aspergillus species.Microbial cell factories · 2026Article
- New Yarrowia lipolytica chassis strains for industrial enzyme production.Microbial cell factories · 2025Article
- Global transcription machinery engineering in Yarrowia lipolytica.FEMS yeast research · 2025Review
- An Interplay between Transcription Factors and Recombinant Protein Synthesis inInternational journal of molecular sciences · 2024Article
- 'Small volume-big problem': culturing Yarrowia lipolytica in high-throughput micro-formats.Microbial cell factories · 2024Review
- Using Euf1 transcription factor as a titrator of erythritol-inducible promoters in Yarrowia lipolytica; insight into the structure, splicing, and regulation mechanism.FEMS yeast research · 2024Article
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Authors and funding
4 authors at 2 institutions in 2 countries.
Funding
Abstract
backgroundIn the era of rationally designed synthetic biology, heterologous metabolites production, and other counter-nature engineering of cellular metabolism, we took a step back and recalled that 'Mother(-Nature) knows best'. While still aiming at synthetic, non-natural outcomes of generating an 'over-production phenotype' we dug into the pre-designed transcriptional programs evolved in our host organism-Yarrowia lipolytica, hoping that some of these fine-tuned orchestrated programs could be hijacked and used. Having an interest in the practical outcomes of the research, we targeted industrially-relevant functionalities-stress resistance and enhanced synthesis of proteins, and gauged them over extensive experimental design's completion.
resultsTechnically, the problem was addressed by screening a broad library of over 120 Y. lipolytica strains under 72 combinations of variables through a carefully pre-optimized high-throughput cultivation protocol, which enabled actual phenotype development. The abundance of the transcription program elicitors-transcription factors (TFs), was secured by their overexpression, while challenging the strains with the multitude of conditions was inflicted to impact their activation stratus. The data were subjected to mathematical modeling to increase their informativeness. The amount of the gathered data prompted us to present them in the form of a searchable catalog - the YaliFunTome database ( https://sparrow.up.poznan.pl/tsdatabase/ )-to facilitate the withdrawal of biological sense from numerical data. We succeeded in the identification of TFs that act as omni-boosters of protein synthesis, enhance resistance to limited oxygen availability, and improve protein synthesis capacity under inorganic nitrogen provision.
conclusionsAll potential users are invited to browse YaliFunTome in the search for homologous TFs and the TF-driven phenotypes of interest.
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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.