| Literature DB >> 35379901 |
Mette Galsgaard Malle1,2, Philipp M G Löffler3, Søren S-R Bohr1,2, Magnus Berg Sletfjerding1,2, Nikolaj Alexander Risgaard3, Simon Bo Jensen1,2, Min Zhang1,2, Per Hedegård4, Stefan Vogel5, Nikos S Hatzakis6,7.
Abstract
Combinatorial high-throughput methodologies are central for both screening and discovery in synthetic biochemistry and biomedical sciences. They are, however, often reliant on large-scale analyses and thus limited by a long running time and excessive materials cost. We here present a single-particle combinatorial multiplexed liposome fusion mediated by DNA for parallelized multistep and non-deterministic fusion of individual subattolitre nanocontainers. We observed directly the efficient (>93%) and leakage free stochastic fusion sequences for arrays of surface-tethered target liposomes with six freely diffusing populations of cargo liposomes, each functionalized with individual lipidated single-stranded DNA and fluorescently barcoded by a distinct ratio of chromophores. The stochastic fusion resulted in a distinct permutation of fusion sequences for each autonomous nanocontainer. Real-time total internal reflection imaging allowed the direct observation of >16,000 fusions and 566 distinct fusion sequences accurately classified using machine learning. The high-density arrays of surface-tethered target nanocontainers (~42,000 containers per mm2) offers entire combinatorial multiplex screens using only picograms of material.Entities:
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Year: 2022 PMID: 35379901 DOI: 10.1038/s41557-022-00912-5
Source DB: PubMed Journal: Nat Chem ISSN: 1755-4330 Impact factor: 24.274