High-Throughput, Label-Free Detection of DNA Origami in Single-Cell Suspensions Using origamiFISH-Flow.

Structural DNA nanotechnology enables custom fabrication of nanoscale devices and promises diverse biological applications. However, the effects of design on DNA nanostructure (DN)-cell interactions in vitro and in vivo are not yet well-characterized. origamiFISH is a recently developed technique for imaging DNs in cells and tissues. Compared to the use of fluorescent tags, origamiFISH offers label-free and structure-agnostic detection of DNs with significantly improved sensitivity. Here, the origamiFISH technique is extended to quantify DNs in single-cell suspensions, including in nonadherent cells such as subsets of immune cells, via readout by flow cytometry. This method, referred to as origamiFISH-Flow, is high-throughput (e.g., 10 000 cells per second) and compatible with immunostaining for concurrent cell-type and cell-state characterization. It is shown that origamiFISH-Flow provides 20-fold higher signal-to-noise ratio for DN detection compared to dye labeling approaches, leading to the capture of >25-fold more DN+ cells under single-picomolar DN uptake concentrations. Additionally, the use of origamiFISH-Flow is validated to profile the uptake of various DN shapes across multiple cell lines and splenocytes, as well as to quantify in vivo DN accumulation in lymphoid organs. Together, origamiFISH-Flow offers a new tool to interrogate DN interactions with cells and tissues, while providing insights for tailoring their designs in bio-applications.

Universal, label-free, single-molecule visualization of DNA origami nanodevices across biological samples using origamiFISH.

Structural DNA nanotechnology enables the fabrication of user-defined DNA origami nanostructures (DNs) for biological applications. However, the role of DN design during cellular interactions and subsequent biodistribution remain poorly understood. Current methods for tracking DN fates in situ, including fluorescent-dye labelling, suffer from low sensitivity and dye-induced artifacts. Here we present origamiFISH, a label-free and universal method for the single-molecule fluorescence detection of DNA origami nanostructures in cells and tissues. origamiFISH targets pan-DN scaffold sequences with hybridization chain reaction probes to achieve 1,000-fold signal amplification. We identify cell-type- and DN shape-specific spatiotemporal distribution patterns within a minute of uptake and at picomolar DN concentrations, 10,000× lower than field standards. We additionally optimize compatibility with immunofluorescence and tissue clearing to visualize DN distribution within tissue cryo-/vibratome sections, slice cultures and whole-mount organoids. Together, origamiFISH enables the accurate mapping of DN distribution across subcellular and tissue barriers for guiding the development of DN-based therapeutics.

DNA-Tethered RNA Polymerase for Programmable In vitro Transcription and Molecular Computation.

DNA nanotechnology enables programmable self-assembly of nucleic acids into user-prescribed shapes and dynamics for diverse applications. This work demonstrates that concepts from DNA nanotechnology can be used to program the enzymatic activity of the phage-derived T7 RNA polymerase (RNAP) and build scalable synthetic gene regulatory networks. First, an oligonucleotide-tethered T7 RNAP is engineered via expression of an N-terminally SNAP-tagged RNAP and subsequent chemical coupling of the SNAP-tag with a benzylguanine (BG)-modified oligonucleotide. Next, nucleic-acid strand displacement is used to program polymerase transcription on-demand. In addition, auxiliary nucleic acid assemblies can be used as "artificial transcription factors" to regulate the interactions between the DNA-programmed T7 RNAP with its DNA templates. This in vitro transcription regulatory mechanism can implement a variety of circuit behaviors such as digital logic, feedback, cascading, and multiplexing. The composability of this gene regulatory architecture facilitates design abstraction, standardization, and scaling. These features will enable the rapid prototyping of in vitro genetic devices for applications such as bio-sensing, disease detection, and data storage.