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DNA mutations occurring at low frequencies can be more easily detected by first excising wild-type DNA strands via the endonuclease deoxyribonuclease I, guided by single-stranded phosphorothioated DNA.
Human pluripotent stem cells with one copy of the BRCA2 gene deleted can be used to annotate variants of the gene and to test their sensitivities to inhibition by the poly(ADP-ribose) polymerase.
A technique for the large-scale mass-spectrometric quantification of glycopeptides in plasma samples allows for the profiling of more than a thousand glycopeptide features in plasma samples, as shown for patients with COVID-19.
A gene-delivery system relying on a Sleeping Beauty transposase encoded into an mRNA delivered by an adeno-associated virus enhances the stability and efficiency of the integration and expression of a desired transgene in immune cells.
Vertically oscillating head motions mimicking mechanical accelerations experienced during light jogging or treadmill running at moderate velocity reduce blood pressure in rats and human adults with hypertension.
An image reconstruction method leveraging the capture of 511 keV annihilation photons and prompt γ-ray emission in the same energy window allows for the simultaneous in vivo imaging of two radiotracers for positron emission tomography.
Functionally distinct T-cell populations can be generated from T cells that received the same stimulation by altering the viscoelasticity of their surrounding extracellular matrix.
Posterior scleral birefringence, measured by triple-input polarization-sensitive optical coherence, predicts the onset of myopia in guinea pigs and is associated with myopia status in patients.
A wearable electrochemical patch for the real-time monitoring of the biomarker C-reactive protein in sweat detects elevated concentrations of the protein in patients with acute or chronic inflammation.
An automated plaque assay leveraging lens-free holographic imaging and deep learning rapidly and accurately detects the cell-lysing events caused by viral replication.
A transformer-based representation-learning model that processes multimodal input in a unified manner outperformed non-unified multimodal models in two clinical diagnostic tasks.
Micropillar patterns causing changes in the nuclear and cellular morphologies of human mesenchymal stromal cells influence the conformation of the cells’ chromatin and their osteogenic differentiation in vitro and in mice.
A nanoparticle integrating a fusion protein of apolipoprotein A1 and interleukin-4 and that targets myeloid-cell-rich haematopoietic organs resolves immunoparalysis in ex vivo and in vivo models of sepsis.
T cells with a chimaeric antigen receptor specific for fluorescein isothiocyanate can be directed against solid tumours via the intratumoural administration of a fluorescein isothiocyanate-conjugated amphiphile that inserts itself in cell membranes.
A representation-learning strategy for machine-learning models applied to medical-imaging tasks improves model robustness and training efficiency and mitigates suboptimal out-of-distribution performance.
Intratumoural heterogeneity can be characterized spatially in patients with liver metastases from colorectal cancer via phenotype-specific multi-view learning models trained with PET–MRI data from mice with subcutaneous colon tumours.
An assay leveraging the target-specific splinted ligation of DNA probes to generate expression cassettes for the cell-free synthesis of reporter proteins accurately detects nucleic acids at ambient temperature.
A high-throughput method leveraging peptide-encoding mRNA barcodes for the in vivo screening of libraries of nanoparticle formulations allows for the rapid optimization of a lipid nanoparticle for the delivery of mRNA to the liver.