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Ultrasound pulses have been used to modulate a liver–brain autonomic nerve pathway to prevent or reverse the onset of hyperglycaemia in models of diabetes in several species. The ion channel TRPA1 was shown to be essential in transducing the ultrasound stimuli within the metabolic control circuit.
Cardiovascular progenitor cells that self-renew in chemically defined and xeno-free conditions and that preserve their cardiovascular differentiation capacity in vitro and in vivo can be derived from fibroblasts via a cocktail of six small molecules.
Selective activation of the hepatoportal nerve plexus via peripheral focused ultrasound stimulation improves glucose homoeostasis and enhances glucose tolerance and utilization in rodent models of diabetes and in swine.
An endovascular wireless and battery-free millimetric implant enables the stimulation of peripheral nerves that are difficult to reach via traditional surgeries.
Deep-learning models trained on external eye photographs can detect diabetic retinopathy, diabetic macular oedema and poor blood glucose control more accurately than models relying on demographic and medical history data.
HIV proviruses and their adjacent host DNA junctions can be assembled via high-throughput droplet-based whole-genome amplification followed by a polymerase chain reaction to tag droplets containing proviruses for sequencing.
Benchtop and miniaturized microscopes leveraging single-objective light-sheet illumination allow for volumetric histological imaging of living tissue, in real time and without the need for tissue staining or excision.
A protocol for the production of human spinal-cord-like organoids that recapitulate the tube-forming morphogenesis of the early human spinal cord facilitates screening for antiepileptic drugs that can cause neural-tube defects.
Patterned organoids and bioprinted tissues can be generated by simultaneously co-differentiating pluripotent stem cells into distinct cell types via the forced overexpression of transcription factors, independently of culture-media composition.
Lessons being learned about the utility of COVID-19 diagnostics are informing the design, required real-world performance and deployment needs of technologies for the detection of infectious diseases.
Freeze-dried genetic circuits can be integrated with textiles for the detection — colorimetric, or via fluorescence or luminescence — of small molecules and nucleic acids from SARS-CoV-2 and other pathogens.
Deep-brain stimulation in freely behaving mice can be achieved via wide-field near-infrared illumination and stereotactically injected photothermal transducers activating neurons ectopically expressing a temperature-sensitive cation channel.
Organoid models of intestinal stem cell differentiation into Paneth cells allow for the identification, via high-throughput phenotypic screening, of biological targets and small molecules regulating the composition of intestinal epithelium.
An inexpensive knotted catheter-like device made of a piezoresistive elastic silicone–liquid-metal composite performs comparably to commercial manometry devices for the sensing of gastrointestinal motility in anaesthetized pigs.
A one-step fluorescence assay relying on suboptimal protospacer adjacent motifs for Cas12a detects SARS-CoV-2 RNA in nasopharyngeal samples in less than 20 minutes with a sensitivity comparable to that of RT–qPCR.
A method connecting single-cell genomic, transcriptomic or proteomic profiles to functional cellular characteristics, especially time-varying phenotypic changes, would inform our understanding of cancer biology. We present functional single-cell sequencing (FUNseq) to address this need and describe how it might provide a unique way to unravel mechanisms that drive cancer.
The combination of massively parallel mutation enrichment and duplex sequencing allows for the tracking of up to 10,000 low-frequency mutations with up to 100-fold fewer reads per locus than conventional duplex sequencing.
Cells in large heterogeneous cell populations can be selectively photolabelled according to specific functional dynamics via an optical microscope with an ultrawide field of view, fast image analysis and a photoactivatable dye.
Ovarian cancer can be predicted with high sensitivity and specificity via a fingerprint obtained, via machine learning, from near-infrared fluorescence emissions of an array of carbon nanotube sensors in serum samples.
Multi-arm junction RNAs integrating motifs for loop-initiated RNA activators enable the execution of molecular logic independent of RNA-input sequence, thus facilitating the design of cell-free diagnostics.