Scaling Cellular Perturbation Technologies

This network of collaborators aims to scale perturbation technology and generate datasets that will inform our understanding of cellular function and gene regulation.

Photography by Chris Buckley

Causal Understanding Biological Systems With In Vivo Genotype-Phenotype Maps

to generate the most comprehensive in vivo perturb-seq dataset to date spanning multiple tissues and cell types

Randall Jeffrey Platt

ETH Zurich

An Approach for Systematically Mapping Gene Regulatory Networks With Genome-Wide Perturb-Seq

to systematically map the gene regulator network controlling CD4+ T cell programs with Perturb-seq

Alexander Marson

Gladstone Institutes

Scaling In Vivo Perturb-Seq in the Liver and Beyond

to perform and scale perturb-seq methods to enable genome-wide screens in vivo

Jonathan Weissman

Whitehead Institute for Biomedical Research

William Allen

Stanford University