Dennis Tin Chat Chan

ORCID: 0000-0002-0841-5898
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About
Contact & Profiles
Research Areas
  • CRISPR and Genetic Engineering
  • Gene Regulatory Network Analysis
  • Evolutionary Algorithms and Applications
  • Bacterial Genetics and Biotechnology
  • Microbial Metabolic Engineering and Bioproduction
  • Biofuel production and bioconversion
  • DNA and Biological Computing
  • Protist diversity and phylogeny
  • Microbial Fuel Cells and Bioremediation
  • RNA and protein synthesis mechanisms
  • CO2 Sequestration and Geologic Interactions
  • Advanced biosensing and bioanalysis techniques
  • Catalysis for Biomass Conversion
  • Methane Hydrates and Related Phenomena
  • Microbial Community Ecology and Physiology
  • Enzyme Catalysis and Immobilization
  • Carbon Dioxide Capture Technologies

UiT The Arctic University of Norway
2021-2025

Norwegian University of Science and Technology
2019

Rising atmospheric carbon concentrations affect global health, the economy, and overall quality of life. We are fast approaching climate tipping points that must be addressed, not only by reducing emissions but also through new innovation action toward capture for sequestration utilization (CCSU). In this perspective, we delineate next-generation biotechnologies CCSU supported engineering design principles derived from ecological processes inspired three major biomes (plant-soil, deep...

10.1016/j.oneear.2020.12.006 article EN cc-by-nc-nd One Earth 2021-01-01

Broad-host-range synthetic biology is an emerging frontier that aims to expand our current engineerable domain of microbial hosts for biodesign applications. As more novel species are brought “model status,” biologists discovering identically engineered genetic circuits can exhibit different performances depending on the organism it operates within, observation referred as “chassis effect.” It remains a major challenge uncover which genome-encoded and biological determinants will underpin...

10.34133/bdr.0016 article EN cc-by BioDesign Research 2023-01-01

The choice of organism to host a genetic circuit, the chassis, is often defaulted model organisms due their amenability. chassis-design space has therefore remained underexplored as an engineering variable. In this work, we explored design toggle switch through variations in nine ribosome binding site compositions and three contexts, creating 27 circuit variants. Characterization performance metrics terms output growth dynamics unveils spectrum profiles from our library. We find that changes...

10.1021/acssynbio.4c00551 article EN cc-by ACS Synthetic Biology 2025-01-04

Establishment of sustainable technology for methanol-based production acetoin by metabolically engineered<italic>Bacillus methanolicus</italic>.

10.1039/c9gc03950c article EN Green Chemistry 2019-12-10

ABSTRACT Implementation of identical biodesign strategies into different species often results in performance, a process called the “chassis effect”. Our current understanding how cellular host context underpins its ability to be engineered is lacking and closing this knowledge gap will greatly improve rational design microorganisms. Here, we combined global differential gene expression analysis pangenomics uncover genome structure function relates observed chassis effect an genetic inverter...

10.1101/2024.02.15.580380 preprint EN cc-by-nc-nd bioRxiv (Cold Spring Harbor Laboratory) 2024-02-15

SUMMARY The choice of organism to host a genetic circuit – the chassis is often defaulted model organisms due their amenability. chassis-design space has therefore remained underexplored as an engineering variable. In this work, we explored design toggle switch through variations in nine ribosome binding sites compositions and three contexts, creating 27 variants. Characterization performance metrics terms output growth dynamics unveils spectrum profiles from our library. We find that...

10.1101/2024.07.20.604438 preprint EN bioRxiv (Cold Spring Harbor Laboratory) 2024-07-21

Engineering identical genetic circuits into different species typically results in large differences performance due to the unique cellular environmental context of each host, a phenomenon known as "chassis-effect" or "context-dependency". A better understanding how genomic and physiological contexts underpin chassis-effect will improve biodesign strategies across diverse microorganisms. Here, we combined pangenomic-based gene expression analysis with quantitative measurements from an...

10.1128/msystems.00849-24 article EN cc-by mSystems 2024-08-22

ABSTRACT Broad-host-range synthetic biology is an emerging frontier that aims to expand our current engineerable domain of microbial hosts for biodesign applications. As more novel species are brought “model status”, biologists discovering identically engineered genetic circuits can exhibit different performances depending on the organism it operates within, observation referred as “chassis-effect”. It remains a major challenge uncover which genome encoded and physiological biological...

10.1101/2023.02.27.529268 preprint EN cc-by-nd bioRxiv (Cold Spring Harbor Laboratory) 2023-02-27
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