Publications

In partnership with our colleagues from the Royer lab at the Biohub, we developed cytoself, an innovative deep-learning-based approach for fully self-supervised protein localization profiling and clustering.

In partnership with our colleagues from the Royer lab at the Biohub, we developed cytoself, an innovative deep-learning-based approach for fully self-supervised protein localization profiling and clustering.

This paper describes the first release of our flagship OpenCell dataset. We combined CRISPR, confocal live-cell imaging, mass spectrometry and machine learning to map the sub-cellular localization and interactions of 1,310 human proteins. We show that unsupervised clustering of our dataset facilitates biological discovery.

In this collaboration with the Weiner lab at UCSF, we used endogenous protein tagging to help uncover a role for the actin regulator WASP in the 3D migration of neutrophils.

This paper describes the first release of our flagship OpenCell dataset. We combined CRISPR, confocal live-cell imaging, mass spectrometry and machine learning to map the sub-cellular localization and interactions of 1,310 human proteins. We show that unsupervised clustering of our dataset facilitates biological discovery.

In this collaboration with the Weissman lab at UCSF, we used our live imaging and proteomics pipeline to discover new functions for micro-peptides, very short proteins that are encoded all throughout the genome and whose function remains very mysterious.

In this collaboration with the Huang lab at UCSF, we leveraged a newly developed inverted light-sheet microscope for high-throughput 4D imaging of protein dynamics during cell division.