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Jo et al. develop a broadly applicable deep-learning approach to predict fluorescence (FL) based on label-free refractive index (RI) measurements, ‘RI2FL’ (RI to FL). The trained model can be used across cell types without retraining.
Xue and colleagues developed LACE-seq to globally profile RNA targets of RNA-binding proteins at single-nucleotide resolution in low-input cells or even single oocytes.
Truong et al. developed a cell-based reporter system, EXSISERS, that enables non-invasive quantification of the protein expression levels of exon-specific isoforms via intein-mediated protein splicing.
Li et al. develop reversible shearing DNA-based tension probes to quantify molecular piconewton-scale forces, estimate the number of mechanically active receptors with single-molecule sensitivity and study mechanisms of force transduction in live cells.
Wang et al. developed a transformer base editor system in which the enzyme activity of the base editor is turned on only at the on-target site, therefore minimizing genome-wide and transcriptome-wide off-target mutations.
Zhang et al. design optogenetically controlled artificial transport vehicles that can be activated reversibly to manipulate cargo transport, impede neurite development and functionally characterize filopodial networks in axolotls.
Gao et al. developed a CRISPR–Cas9-based system in which sgRNA production is controlled by the endogenous promoter to monitor the expression of weakly expressed genes and long non-coding RNAs in mammalian cells.