Finding a cell's true identity

Scientists have long sorted cells into different varieties based on their appearance under a microscope or, for differences that are more visually subtle, based on the behavior of a handful of genes. But in a bid to reveal even more distinctive differences and similarities, researchers from the Johns Hopkins Kimmel Cancer Center, the Johns Hopkins Institute for Genetic Medicine and the Johns Hopkins Department of Neuroscience developed two new artificial intelligence methods that decipher complex gene activity controlling cell fate decisions in retina development and relate this gene activity to what occurs in other tissues and across different species.

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