ReviewACS synthetic biology2022
Toward Methanol-Based Biomanufacturing: Emerging Strategies for Engineering Synthetic Methylotrophy in
Review 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 13 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
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.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
13 citing papers in PubMed.
- Metabolic engineering of Escherichia coli for methanol-assisted resveratrol biosynthesis.Bioprocess and biosystems engineering · 2026Article
- Systematic metabolic engineering of Komagataella phaffii for methanol-to-lactate bioconversion.Bioprocess and biosystems engineering · 2026Article
- Robust Pichia kudriavzevii for open production of methylotrophic protein.Applied microbiology and biotechnology · 2026Article
- Engineering energy-efficient Saccharomyces cerevisiae for methanol and CONature communications · 2026Article
- Simplifying multiplex genome engineering in Saccharomyces cerevisiae with intron-mediated Random Assembly and INtegration (RAIN).FEMS yeast research · 2026Article
- A blueprint for designing the next-generation of synthetic CNature communications · 2025Review
- Improvement of D-lactic acid production from methanol by metabolically engineeredMetabolic engineering communications · 2025Article
- Transcriptome analysis reveals methanol metabolism variations for the growth damage caused by overexpression of chimeric transactivators inSynthetic and systems biotechnology · 2025Article
- Evolutionary engineering ofScience advances · 2024Article
- Single carbon metabolism - A new paradigm for microbial bioprocesses?Synthetic and systems biotechnology · 2024Review
- Metabolic engineering strategies for microbial utilization of methanol.Engineering microbiology · 2023Review
- Leveraging substrate flexibility and product selectivity of acetogens in two-stage systems for chemical production.Microbial biotechnology · 2023Review
- Design and Construction of Artificial Biological Systems for One-Carbon Utilization.Biodesign research · 2023Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The global expansion of biomanufacturing is currently limited by the availability of sugar-based microbial feedstocks, which require farmland for cultivation and therefore cannot support large increases in production without impacting the human food supply. One-carbon feedstocks, such as methanol, present an enticing alternative to sugar because they can be produced independently of arable farmland from organic waste, atmospheric carbon dioxide, and hydrocarbons such as biomethane, natural gas, and coal. The development of efficient industrial microorganisms that can convert one-carbon feedstocks into valuable products is an ongoing challenge. This review discusses progress in the field of synthetic methylotrophy with a focus on how it pertains to the important industrial yeast,
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Identifiers
What OpenQuestion holds
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.