ReviewBiotechnology for biofuels2019
Genetically encoded biosensors for lignocellulose valorization.
Review in Biotechnology for biofuels, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.
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Who cites it
14 citing papers in PubMed.
- Multiscale metabolic engineering in biological lignin valorization.Innovation (Cambridge (Mass.)) · 2025Review
- Genetically encoded biosensor enabled mining, characterisation and engineering of aromatic acid MFS transporters.Journal of biological engineering · 2025Article
- Advances in fungal sugar transporters: unlocking the potential of second-generation bioethanol production.Applied microbiology and biotechnology · 2025Review
- Cell-free biosensor with automated acoustic liquid handling for rapid and scalable characterization of cellobiohydrolases on microcrystalline cellulose.Synthetic biology (Oxford, England) · 2025Article
- Tuning the performance of a TphR-based terephthalate biosensor with a design of experiments approach.Metabolic engineering communications · 2024Article
- Genetically encoded biosensors for the circular plastics bioeconomy.Metabolic engineering communications · 2024Article
- Recent Advances in Metallic Nanostructures-assisted Biosensors for Medical Diagnosis and Therapy.Current topics in medicinal chemistry · 2024Review
- Towards universal synthetic heterotrophy using a metabolic coordinator.Metabolic engineering · 2023Article
- Advances in engineering microbial biosynthesis of aromatic compounds and related compounds.Bioresources and bioprocessing · 2021Review
- Approaches to genetic tool development for rapid domestication of non-model microorganisms.Biotechnology for biofuels · 2021Review
- Real-Time Monitoring of the Yeast Intracellular State During Bioprocesses With a Toolbox of Biosensors.Frontiers in microbiology · 2021Article
- Re-engineering Plant Phenylpropanoid Metabolism With the Aid of Synthetic Biosensors.Frontiers in plant science · 2021Review
- Review
- Development of High-Performance Whole Cell Biosensors Aided by Statistical Modeling.ACS synthetic biology · 2020Article
Corrections and comments
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Authors and funding
2 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Modern society is hugely dependent on finite oil reserves for the supply of fuels and chemicals. Moving our dependence away from these unsustainable oil-based feedstocks to renewable ones is, therefore, a critical factor towards the development of a low carbon bioeconomy. Lignin derived from biomass feedstocks offers great potential as a renewable source of aromatic compounds if methods for its effective valorization can be developed. Synthetic biology and metabolic engineering offer the potential to synergistically enable the development of cell factories with novel biosynthetic routes to valuable chemicals from these sustainable sources. Pathway design and optimization is, however, a major bottleneck due to the lack of high-throughput methods capable of screening large libraries of genetic variants and the metabolic burden associated with bioproduction. Genetically encoded biosensors can provide a solution by transducing the target metabolite concentration into detectable signals to provide high-throughput phenotypic read-outs and allow dynamic pathway regulation. The development and application of biosensors in the discovery and engineering of efficient biocatalytic processes for the degradation, conversion, and valorization of lignin are paving the way towards a sustainable and economically viable biorefinery.
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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.