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Selective killing of bacteria in a mixed population is enabled by engineering an antimicrobial that is toxic only in pathogens harboring specific genetic elements.
A new computational method allows key developmental checkpoints and important parameters of population dynamics to be inferred from single-cell RNA-sequencing time series data.
Palantir uses single-cell RNA-seq data to generate continuous models of differentiation, infer developmental trajectories, and calculate the probabilities of cell fate choices.
Unbiased detection of off-target editing by adenine base editors in vitro uncovers differences in the specificity patterns of adenine and cytosine base editors, and of unmodified Cas9.