Cell Science

We build tools to support and accelerate the work of biologists who are uncovering new insights about healthy and diseased cells. Our platform, Chan Zuckerberg CELL by GENE (CZ CELLxGENE), allows scientists to access, analyze, and annotate high-dimensional single-cell data at scale, so they can inform their experiments or quickly surface new insights that could lead to discoveries in treating disease. Learn more at czcellxgene.org and read our pre-print.

Advancements in technology offer an unprecedented potential to profile and visualize cells, RNA, proteins, and metabolites. This work aims to generate comprehensive data references spanning modalities, ancestries, and developmental stages that can be used to rapidly understand the molecular mechanisms that define cells.

There remain many opportunities to use and reuse single-cell data to more deeply interrogate cellular mechanisms and disease. This work aims to equip leading-edge computational scientists with large data resources and unlock untapped power to describe cellular function.

Perturbation and manipulation of complex cellular systems are critical to extending and validating inferences made by current cell atlases. This work focuses on the development of new technologies that enable scientists to perturb cells and systems at scale across organisms, modalities, and diseases.

This work moves beyond functional interrogation and extends into engineering cell identity, fate, or behavior using synthetic biology, with the goal of validating our molecular knowledge of cells.