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Multiplex detection of two interacting Mycobacterium tuberculosis biomarkers on the surface of circulating extracellular vesicles, using a nanoplasmon-enhanced immunoassay, improves the diagnosis of tuberculosis in immunosuppressed children living with HIV.
Graph deep learning can be used to detect contextual pathological features within a complex tumour microenvironment. We have shown the use of graph deep learning for predicting the prognosis of patients with tumours, and use it to identify additional contextual prognostic biomarkers for pathologists.
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.
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.
