RegVelo: A new AI tool for predicting cell fate (VIDEO)
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In this video, Tatjana Sauka-Spengler, Ph.D., discusses new research from the Stowers Institute for Medical Research, Hemholtz Munich, and the University of Oxford, published in the journal Cell that explores how gene regulatory programs guide cell fate decisions during early embryonic development.
The work centers on neural crest cells — a remarkable population of embryonic cells that help form parts of the face, heart, nervous system, and pigment cells. By combining gene regulatory information with developmental trajectory analysis and RNA sequencing data, researchers developed a computational framework called RegVelo that can predict how cells transition from one developmental state to another.
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Stowers Institute for Medical Research
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