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Hirano, R.

Publications and source records attributed to Hirano, R..

2 recordsLinked to original sources

A rapidly deployable CRISPR-Cas3 diagnostic platform for emerging RNA viruses

Rapidly converting viral genome information into deployable molecular tests remains a major challenge in outbreak preparedness. We developed CONAN-SWIFT (Simple Workflow for Isothermal Field Testing), a sequence-to-test platform that integrates computational assay design, reverse-transcription loop-mediated isothermal amplification, CRISPR-Cas3 detection, reagent lyophilization and lateral-flow readout. Sequence-guided assays for Andes virus and Bundibugyo virus were established within approximately three weeks and extended to four additional filoviruses. A web-based designer supported crRNA selection, and systematic RT-LAMP primer optimization improved amplification performance. Recombinant Escherichia coli-expressed Cascade enabled standardized preparation of lyophilized Cas3-detection reagents, which were combined with a battery-operated isothermal device. The portable system detected as few as 10 input RNA copies per reaction within approximately 40 min. It also detected viral RNA and biologically contained, replication-incompetent Ebola virus in spiked human blood and concentrated wastewater. These findings establish the analytical feasibility of a rapidly adaptable CRISPR-Cas3 engineering framework for decentralized detection of emerging RNA viruses.

bioengineering↗

Visualizing hemoglobin oxygen saturation distribution in small animals: an in vivo application of a 3D photoacoustic imaging scanner with a hemispherical detector array

AbstractO_ST_ABSSignificanceC_ST_ABSPhotoacoustic (PA) imaging has garnered considerable attention due to its capability to render vascular images in a label-free manner. Specifically, devices employing a hemispherical detector array (HDA) have been heralded for various clinical applications, owing to their potential to yield high reproducibility three-dimensional images. While high-resolution models utilizing high-frequency sensors have been introduced for animal experimentation, their evaluation has been constrained to a single wavelength. In this study, we demonstrate the applicability of in vivo mouse models for visualizing body oxygen saturation distribution using dual wavelengths. AimWith the aid of our uniquely developed device and analysis software, our primary objective is to map the spatial distribution of the hemoglobin oxygen saturation coefficient (S-factor) through non-invasive in vivo imaging. Subsequently, we aim to observe the temporal alterations within this distribution, specifically assessing changes in hemoglobin oxygen saturation in both normal and tumor vessels over time. ApproachHigh-quality S-factor images were obtained by integrating a newly developed scanning sequence for high contrast with alternate two-wavelength irradiation. Following validation with phantoms, in vivo images were procured in mice. Sequential scanning of the same mouse yielded information about temporal changes. S-factor evaluation was conducted with our photoacoustic image viewer to analyze trends in hemoglobin oxygen saturation. ResultsHigh-contrast images were achieved by increasing the number of integrations during scanning. S-factor images were acquired using both healthy and tumor-bearing mice. Vessels within the liver and kidneys were distinctly reconstructed, and differences in oxygen saturation discriminated between arteries and veins. Repeated measurements on the same mice, both live and post-euthanasia, provided spatiotemporal information, such as a decrease in oxygen saturation after euthanasia or a precipitous drop in oxygen saturation inside the tumor nine days post-cell line transplantation. ConclusionsBy analyzing S-factor images using a photoacoustic imaging system designed for animal experiments, we succeeded in discerning variations in in vivo oxygen saturation. The custom-built system holds promise as a versatile tool for diverse basic research endeavors, as it can seamlessly interface with human clinical applications.

bioengineering↗