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Biology subjects

Shih, W. M.

Publications and source records attributed to Shih, W. M..

5 recordsLinked to original sources

Single-Molecule Imaging Reveals Differential Stability of Alpha-Synuclein Aggregates

-Synuclein (-syn) aggregation is central to Parkinsons disease (PD), yet measurements in biofluids are confounded by the coexistence of monomeric and aggregated species. Using Syn-IMAGR, a single-molecule imaging platform with sub-femtomolar sensitivity, we show that purified -syn aggregates undergo dilution-induced disassembly, revealing a concentration-dependent equilibrium. Applied to postmortem brain lysates, Syn-IMAGR distinguishes physiological -syn multimers, which are dimmer and readily dissociate upon dilution, from PD-associated aggregates, which remain detectable and exhibit greater structural resistance to disruption. These results indicate that -syn assemblies occupy distinct stability regimes, with PD-associated aggregates representing a more persistent and less dilution-sensitive structural state. Syn-IMAGR thus provides a quantitative framework for resolving -syn species and for probing their concentration-dependent equilibrium.

neuroscience↗

Enhanced lung delivery of an immunostimulatory duplex RNA augments the antitumor activity by reshaping systemic cytokine pharmacodynamics

The organ-specific enrichment of drug delivery vehicles, such as lipid nanoparticles (LNPs), can be leveraged to concentrate drugs at disease sites to increase efficacy and limit toxicity. For immunostimulatory therapeutics, however, tissue accumulation beyond diseased sites may also shape drug activity by determining which organs and cell populations first sense the agonist and initiate downstream immune responses. Here, we show that the anticancer efficacy of an immunostimulatory duplex RNA (dsRNA) can be augmented using LNPs that are formulated to preferentially target the lung, which dictates the systemic pharmacodynamics of the cytokines it elicits. The immunostimulatory dsRNA was formulated into LNPs engineered for either enhanced liver-(LiverLNPs) or lung-(LungLNPs) based delivery, matched for size, encapsulation efficiency, and in vitro potency. In mice, delivery of dsRNA in LungLNPs enhanced uptake into endothelial, epithelial, and resident immune cells populations and induced substantially higher circulating levels of type I, type III interferons and proinflammatory cytokines than dsRNA formulated in LiverLNPs. This significant systemic response induced by lung-enhanced delivery required competent retinoic acid-inducible gene I and Toll-like receptor 7 signaling. Functionally, LNPs that preferentially targeted the lungs induced significantly greater suppression of tumor growth in both subcutaneous and metastatic models of melanoma. LungLNP/dsRNA also induced cytokine secretion and inhibited tumor cell proliferation in a human lung cancer-on-a-chip model. Together, these results establish that pulmonary exposure can alter systemic pharmacodynamics and therapeutic activity of immunostimulatory RNA.

bioengineering↗

Validation of DoriVac (DNA origami vaccine) efficacy in a metastatic melanoma model

Metastatic cancer, particularly metastatic melanoma, poses a significant therapeutic challenge due to its resistance to standard treatments and low five-year survival rate of 20-27%. Current therapies show limited success, highlighting the urgent need for novel interventions. Recent advances in cancer vaccine research show great promise in reducing disease recurrence, but these approaches still face challenges pertaining to antigen selection, ease of production, and programmability. To address some of these challenges, we have adapted the DoriVac platform to serve as a cancer vaccine against metastatic melanoma. DoriVac is a DNA origami-based vaccine platform that allows for the codelivery of antigens of choice and the CpG immune adjuvant at an optimal nanospacing to promote Th1 immune polarization. In our study, we observed a significant reduction in lung tumor nodules for mice treated with DoriVac in both the B16OVA and B16F10 melanoma mouse models. DoriVac also appears to be a safe and effective treatment, with no anti-drug antibodies, as indicated by lower anti-dsDNA levels. Importantly, we observed an amplified effect when DoriVac was combined with PD-L1 immune checkpoint blockade, leading to an even greater reduction in metastatic lung tumor nodules. Our results also indicate an increased activation of antigen presenting cells, NK cells, CD4+ T cells and CD8+ T cells. These findings suggest that DoriVac, particularly in combination with the PD-L1 immune checkpoint blockade, can serve as a promising immunotherapy against metastatic cancer.

synthetic biology↗

Mapping Single-molecule Protein Complexes in 3D with DNA Nanoswitch Calipers

The ability to accurately map the 3D geometry of single-molecule complexes in trace samples would lead to new insights into molecular mechanics and provide an approach for single-molecule structural proteomics. To enable this, we have developed a high-resolution force-spectroscopy method capable of measuring multiple distances between labeled sites in natively folded protein complexes. Our approach combines reconfigurable nanoscale devices we call DNA Nanoswitch Calipers, which we have previously introduced, with a force-based barcoding system to distinguish each measurement location. We demonstrate our approach by reconstructing the tetrahedral geometry of biotin-binding sites in natively folded streptavidin, with 1.5-2.5[A] agreement to previously reported structures.

biophysics↗

A smart polymer for sequence-selective binding, pulldown and release of DNA targets

Selective isolation of DNA is crucial for applications in biology, bionanotechnology, clinical diagnostics and forensics. We herein report a smart methanol-responsive polymer (MeRPy) that can be programmed to bind and separate single- as well as double-stranded DNA targets. Captured targets are quickly isolated and released back into solution by denaturation (sequence-agnostic) or toehold-mediated strand displacement (sequence-selective). The latter mode allows 99.8% efficient removal of unwanted sequences and 79% recovery of highly pure target sequences. We applied MeRPy for the depletion of insulin, glucagon, and transthyretin cDNA from clinical next-generation sequencing (NGS) libraries. This step improved data quality for low-abundance transcripts in expression profiles of pancreatic tissues. Its low cost, scalability, high stability and ease of use make MeRPy suitable for diverse applications in research and clinical laboratories, including enhancement of NGS libraries, extraction of DNA from biological samples, preparative-scale DNA isolations, and sorting of DNA-labeled non-nucleic acid targets.

molecular biology↗