Tilmann Bürckstümmer

State, a set-based transformer trained on over 100 million perturbed cells, predicts perturbation responses in new cellular contexts better than mean, linear and deep learning baselines.

The paper introduces a method to quantify diverse perturbation responses and discover novel biological insights in single-cell perturbation datasets.

This study identifies and characterizes prokaryotic Argonautes (pAgos) as programmable endonucleases, showing their ability to cleave DNA in vitro with guide RNA/DNA and potential for gene editing.