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In collaboration with Reuben Saunders, Jonathan Weissman's Lab, and Xiaowei Zhuang, we are very excited to release Perturb-Multi: a platform for pooled multimodal genetic screens in intact mammalian tissue. Check it out! biorxiv.org/content/10.110…

They're coming fast and furious! Also today Science Magazine add EVOLVEpro, a protein large language model combined with a regression model, for genome editing, antibody binding and more applications for evolving proteins science.org/doi/full/10.11… Omar Abudayyeh Jonathan Gootenberg Kaiyi Jiang

How can foundational models + directed evolution make proteins >100x-fold better? We (Omar Abudayyeh, Kaiyi Jiang, Matteo Di Bernardo, Zhaoqing Yan) report in Science Magazine on EVOLVEpro, a general active learning approach to improve protein and enzyme function science.org/doi/10.1126/sc…

Now on biorxiv! The JUMP-Cell Painting Consortium’s paper: “Morphological map of under- and over-expression of genes in human cells” This is the genetic perturbation portion of the JUMP’s dataset; our chemical perturbation paper will come in a few months biorxiv.org/content/10.110…

Excited to share that the Nguyen lab website is live Nguyenlab.org ! Check out what we are working on and if you are at ASCB next week come say hello! We will be presenting a poster Monday at board B277

New preprint w/ surprising insights into proteasomes + mitosis. Océane Marescal found strikingly different cellular phenotypes for proteasome knockouts. 19S lid depletion results in ubiquitin-INDEPENDENT degradation of KIF11 motor + monopolar spindles. biorxiv.org/content/10.110…

(1/8) IMPA is published now in Nature Communications. (a) It can generate phenotypic cell painting/microscopy data images under unseen drug and genetic perturbations. (b) It learns a perturbation map of treatment similarities (small molecules together with genetic) and (c) it corrects

Our most recent Nature Cell Biology paper describes an innovative Perturbation-response Score (PS) method to decode heterogeneous responses of cells to perturbations at single-cell level. Particularly helpful for analyzing Perturb-seq data. nature.com/articles/s4155…

New preprint drop! Check out work from Jimmy Ly et al for how protein isoforms generated by alternate translation initiation create dual localization, contribute to mitochondrial function, and are mutated in disease. Tweet-tutorial thread below. biorxiv.org/content/10.110…

"AI: Advancing Foundational Biology," a symposium exploring AI's impact on biology research, is happening one week from tomorrow. Register: wi.mit.edu/events/ai-adva…

Check out Whitehead Institute's symposium – AI: Advancing Foundational Biology – today (Tuesday, April 8), from 2-5:00 p.m., followed by a poster session and reception at 5 p.m. Eric and Wendy Schmidt Center Director Caroline Uhler will be keynoting at 2:15 p.m. Learn more: calendar.mit.edu/event/ai-advan…

Great to have you Bo Wang!

🚫 No dyes. No bleaching. 🔬 Just AI + label-free microscopy = vivid virtually stained images New in Nature Machine Intelligence: A deep learning model that enables robust virtual staining across microscopes, cell types & conditions. #CZBiohubSF Shalin Mehta explains:

We’re Blainey Lab sharing a major update to CROPseq-multi, our versatile system for CRISPR screens that is compatible with individual and combinatorial perturbations, diverse SpCas9-based technologies, and multiple high-content, single-cell readouts. biorxiv.org/content/10.110…