Leveraging DNA-Encoded Cell-Mimics for Environment-Adaptive Transmembrane Channel Release-Induced Cell Death

The advancement of cell-mimic materials, which can forge sophisticated physicochemical dialogues with living cells, has unlocked a realm of intriguing prospects within the fields of synthetic biology and biomedical engineering. Inspired by the evolutionarily acquired ability of T lymphocytes to release perforin and generate transmembrane channels on targeted cells for killing, herein we present a pioneering DNA-encoded artificial T cell mimic model (ARTC) that accurately mimics T-cell-like behavior. ARTC responds to acidic conditions similar to those found in the tumor microenvironment and then selectively releases a G-rich DNA strand (LG4) embedded with C12 lipid and cholesterol molecules. Once released, LG4 effectively integrates into the membranes of neighboring live cells, behaving as an artificial transmembrane channel that selectively transports K+ ions and disrupts cellular homeostasis, ultimately inducing apoptosis. We hope that the emergence of ARTC will usher in new perspectives for revolutionizing future disease treatment and catalyzing the development of advanced biomedical technologies.

Artificial DNA Framework Channel Modulates Antiapoptotic Behavior in Ischemia-Stressed Cells via Destabilizing Promoter G-Quadruplex

Regulating folding/unfolding of gene promoter G-quadruplexes (G4s) is important for understanding the topological changes in genomic DNAs and the biological effects of such changes on important cellular events. Although many G4-stabilizing ligands have been screened out, effective G4-destabilizing ligands are extremely rare, posing a great challenge for illustrating how G4 destabilization affects gene function in living cells under stress, a long-standing question in neuroscience. Herein, we report a distinct methodology able to destabilize gene promoter G4s in ischemia-stressed neural cells by mitigating the ischemia-induced accumulation of intracellular K+ with an artificial membrane-spanning DNA framework channel (DFC). We also show that ischemia-triggered K+ influx is positively correlated to anomalous stabilization of promoter G4s and downregulation of Bcl-2, an antiapoptotic gene with neuroprotective effects against ischemic injury. Intriguingly, the DFC enables rapid transmembrane transport of excessive K+ mediated by the internal G4 filter, leading to the destabilization of endogenous promoter G4 in Bcl-2 and subsequent turnover of gene expression at both transcription and translation levels under ischemia. Consequently, this work enriches our understanding of the biological roles of endogenous G4s and may offer important clues to study the cellular behaviors in response to stress.

Molecular Complementarity of Proteomimetic Materials for Target-Specific Recognition and Recognition-Mediated Complex Functions

As biomolecules essential for sustaining life, proteins are generated from long chains of 20 different α-amino acids that are folded into unique 3D structures. In particular, many proteins have molecular recognition functions owing to their binding pockets, which have complementary shapes, charges, and polarities for specific targets, making these biopolymers unique and highly valuable for biomedical and biocatalytic applications. Based on the understanding of protein structures and microenvironments, molecular complementarity can be exhibited by synthesizable and modifiable materials. This has prompted researchers to explore the proteomimetic potentials of a diverse range of materials, including biologically available peptides and oligonucleotides, synthetic supramolecules, inorganic molecules, and related coordination networks. To fully resemble a protein, proteomimetic materials perform the molecular recognition to mediate complex molecular functions, such as allosteric regulation, signal transduction, enzymatic reactions, and stimuli-responsive motions; this can also expand the landscape of their potential bio-applications. This review focuses on the recognitive aspects of proteomimetic designs derived for individual materials and their conformations. Recent progress provides insights to help guide the development of advanced protein mimicry with material heterogeneity, design modularity, and tailored functionality. The perspectives and challenges of current proteomimetic designs and tools are also discussed in relation to future applications.

An ion transport switch based on light-responsive conformation-dependent G-quadruplex transmembrane channels

A light-responsive ion transport switch has been developed based on conformation-dependent azobenzene-incorporated lipophilic G-quadruplex channels, which provides a new smart approach for the selective transport of K⁺ ions across the lipid membrane.

Controlled dimerization of artificial membrane receptors for transmembrane signal transduction

In biology, membrane-spanning proteins are responsible for the transmission of chemical signals across membranes, including the signal recognition-mediated conformational change of transmembrane receptors at the cell surface, and a trigger of an intracellular phosphorylation cascade. The ability to reproduce such biological processes in artificial systems has potential applications in smart sensing, drug delivery, and synthetic biology. Here, an artificial transmembrane receptors signaling system was designed and constructed based on modular DNA scaffolds. The artificial transmembrane receptors in this system are composed of three functional modules: signal recognition, lipophilic transmembrane linker, and signal output modules. Adenosine triphosphate (ATP) served as an external signal input to trigger the dimerization of two artificial receptors on membranes through a proximity effect. This effect induced the formation of a G-quadruplex, which served as a peroxidase-like enzyme to facilitate a signal output measured by either fluorescence or absorbance in the lipid bilayer vesicles. The broader utility of this modular method was further demonstrated using a lysozyme-binding aptamer instead of an ATP-binding aptamer. Therefore, this work provides a modular and generalizable method for the design of artificial transmembrane receptors. The flexibility of this synthetic methodology will allow researchers to incorporate different functional modules while retaining the same molecular framework for signal transduction.

An artificial transmbrane signal transducer was developed through the chemical input-mediated dimerization of artificial DNA transmembrane receptors and the subsequent activation of a cascade of events inside the vesicles.

G-quadruplex: Flexible conformational changes by cations, pH, crowding and its applications to biosensing

G-quadruplex (G4) is a non-canonical structure that is formed in G-rich sequences of nucleic acids. G4s play important roles in vivo, such as telomere maintenance, transcription, and DNA replication. There are three typical topologies of G4: parallel, anti-parallel, and hybrid. In general, metal cations, such as potassium and sodium, stabilize G4s through coordination in the G-quartet. While G4s have some functions in vivo, there are many reports of developed applications that use G4s. As various conformations of G4s could form from one sequence depending on varying conditions, many researchers have developed G4-based sensors. Furthermore, G4 is a great scaffold of aptamers since many aptamers folded into G4s have also been reported. However, there are some challenges about its practical use due to the difference between practical sample conditions and experimental ones. G4 conformations are dramatically altered by the surrounding conditions, such as metal cations, pH, and crowding. Many studies have been conducted to characterize G4 conformations under various conditions, not only to use G4s in practical applications but also to reveal its function in vivo. In this review, we summarize recent studies that have investigated the effects of surrounding conditions (e.g., metal cations, pH, and crowding) on G4 conformations and the application of G4s mainly in biosensor fields, and in others.

Design, assembly, and characterization of membrane-spanning DNA nanopores

DNA nanopores are bio-inspired nanostructures that control molecular transport across lipid bilayer membranes. Researchers can readily engineer the structure and function of DNA nanopores to synergistically combine the strengths of DNA nanotechnology and nanopores. The pores can be harnessed in a wide range of areas, including biosensing, single-molecule chemistry, and single-molecule biophysics, as well as in cell biology and synthetic biology. Here, we provide a protocol for the rational design of nanobarrel-like DNA pores and larger DNA origami nanopores for targeted applications. We discuss strategies for the pores' chemical modification with lipid anchors to enable them to be inserted into membranes such as small unilamellar vesicles (SUVs) and planar lipid bilayers. The procedure covers the self-assembly of DNA nanopores via thermal annealing, their characterization using gel electrophoresis, purification, and direct visualization with transmission electron microscopy and atomic force microscopy. We also describe a gel assay to determine pore-membrane binding and discuss how to use single-channel current recordings and dye flux assays to confirm transport through the pores. We expect this protocol to take approximately 1 week to complete for DNA nanobarrel pores and 2-3 weeks for DNA origami pores.

Characterization of DNA G-quadruplex Topologies with NMR Chemical Shifts

G-quadruplexes are nucleic acid motifs formed by stacking of guanosine-tetrad pseudoplanes. They perform varied biological roles, and their distinctive structural features enable diverse applications. High-resolution structural characterization of G-quadruplexes is often time-consuming and expensive, calling for effective methods. Herein, we develop NMR chemical shifts and machine learning-based methodology that allows direct, rapid, and reliable analysis of canonical three-plane DNA G-quadruplexes sans isotopic enrichment. We show, for the first time, that each unique topology enforces a specific distribution of glycosidic torsion angles. Newly acquired carbon chemical shifts are exquisite probes for the dihedral angle distribution and provide immediate and unambiguous backbone topology assignment. The support vector machine learning methodology aids resonance assignment by providing plane indices for tetrad-forming guanosines. We further demonstrate the robustness by successful application of the methodology to a sequence that folds in two dissimilar topologies under different ionic conditions, providing its first atomic-level characterization.