DNA-Based Optical Quantification of Ion Transport across Giant Vesicles

3D DNA origami pincers that multitask on giant unilamellar vesicles

Proteins self-assemble to function in living cells. They may execute essential tasks in the form of monomers, complexes, or supramolecular cages via oligomerization, achieving a sophisticated balance between structural topology and functional dynamics. The modularity and programmability make DNA origami unique in mimicking these key features. Here, we demonstrate three-dimensional reconfigurable DNA origami pincers (DOPs) that multitask on giant unilamellar vesicles (GUVs). By programmably adjusting their pinching angle, the DOPs can dynamically control the degree of GUV remodeling. When oligomerized on the GUV to form origami cages, the DOP units interact with one another and undergo reorganization, resulting in the capture, compartmentalization, and detachment of lipid fragments. This oligomerization process is accompanied with membrane disruptions, enabling the passage of cargo across the membrane. We envisage that interfacing synthetic cells with engineered, multifunctional DNA nanostructures may help to confer customized cellular properties, unleashing the potential of both fields.

Emerging Designs and Applications for Biomembrane Biosensors

Nature has inspired the development of biomimetic membrane sensors in which the functionalities of biological molecules, such as proteins and lipids, are harnessed for sensing applications. This review provides an overview of the recent developments for biomembrane sensors compatible with either bulk or planar sensing applications, namely using lipid vesicles or supported lipid bilayers, respectively. We first describe the individual components required for these sensing platforms and the design principles that are considered when constructing them, and we segue into recent applications being implemented across multiple fields. Our goal for this review is to illustrate the versatility of nature's biomembrane toolbox and simultaneously highlight how biosensor platforms can be enhanced by harnessing it.

Cascade branch migration-triggered strand displacement amplification for specific and sensitive detection of microRNA

MicroRNAs (miRNAs) have been involved in many biological processes and are regarded as promising biomarkers. The short sequence, low abundance and highly homologous interference sequences greatly hinder the accurate detection of miRNAs. Here, a cascade branch migration-triggered strand displacement amplification (CBM-TSDA) strategy was developed for the first time for specific and sensitive detection of miRNA-155 (miR-155). In the presence of target miR-155, the CBM was initiated and two Y-shaped probes were eventually produced. Next, the Y-shaped probes were transformed into three-way junction (3WJ) structures and triggered the SDA to produce a large number of G-quadruplex (G4) structures. Finally, the increased fluorescence signal of G4/Thioflavin T (ThT) was used to quantify miR-155. Meanwhile, the colorimetric responses of the G4-hemin DNAzyme could be used as supplementary detection to obtain a dual-mode signal readout. This detection strategy showed high detection sensitivity, and the limit of detection was 0.28 pM in the fluorescence detection mode and 0.34 pM in the colorimetric detection mode. Notably, it showed high detection specificity, being able to discriminate the single-base mutations of the target with a high discrimination factor. The strategy also possessed excellent capacity for miR-155 detection in cell lysates and real human blood samples. The developed strategy provides a promising detection platform for miRNA, which may be applied to early clinical diagnosis.

Lipid vesicle-based molecular robots

A molecular robot, which is a system comprised of one or more molecular machines and computers, can execute sophisticated tasks in many fields that span from nanomedicine to green nanotechnology. The core parts of molecular robots are fairly consistent from system to system and always include (i) a body to encapsulate molecular machines, (ii) sensors to capture signals, (iii) computers to make decisions, and (iv) actuators to perform tasks. This review aims to provide an overview of approaches and considerations to develop molecular robots. We first introduce the basic technologies required for constructing the core parts of molecular robots, describe the recent progress towards achieving higher functionality, and subsequently discuss the current challenges and outlook. We also highlight the applications of molecular robots in sensing biomarkers, signal communications with living cells, and conversion of energy. Although molecular robots are still in their infancy, they will unquestionably initiate massive change in biomedical and environmental technology in the not too distant future.