Correlation Engine 2.0
Clear Search sequence regions

  • cellular (2)
  • dna aptamers (1)
  • serum (8)
  • Sizes of these terms reflect their relevance to your search.

    DNA molecular programs are emerging as promising pharmaceutical approaches due to their versatility for biomolecular sensing and actuation. However, the implementation of DNA programs has been mainly limited to serum-deprived in vitro assays due to the fast deterioration of the DNA reaction networks by the nucleases present in the serum. Here, we show that DNA/enzyme programs are functional in serum for 24 h but are later disrupted by nucleases that give rise to parasitic amplification. To overcome this, we implement three-letter code networks that suppress autocatalytic parasites while still conserving the functionality of DNA/enzyme programs for at least 3 days in the presence of 10% serum. In addition, we define a new buffer that further increases the biocompatibility and conserves responsiveness to changes in molecular composition across time. Finally, we demonstrate how serum-supplemented extracellular DNA molecular programs remain responsive to molecular inputs in the presence of living cells, having responses 6-fold faster than the cellular division rate, and are sustainable for at least three cellular divisions. This demonstrates the possibility of implementing in situ biomolecular characterization tools for serum-demanding in vitro models. We foresee that the coupling of chemical reactivity to our DNA programs by aptamers or oligonucleotide conjugations will allow the implementation of extracellular synthetic biology tools, which will offer new biomolecular pharmaceutical approaches and the emergence of complex and autonomous in vitro models.


    Jean-Christophe Galas, André Estevez-Torres, Marc Van Der Hofstadt. Long-Lasting and Responsive DNA/Enzyme-Based Programs in Serum-Supplemented Extracellular Media. ACS synthetic biology. 2022 Feb 18;11(2):968-976

    Expand section icon Mesh Tags

    Expand section icon Substances

    PMID: 35133811

    View Full Text