Accelerating COVID-19 Research with New Single-Cell Technologies

Chan Zuckerberg CELL by GENE Discover (CZ CELLxGENE Discover) gives researchers the power to visualize single-cell datasets and unearth interesting biology in an accessible way. Here, lung tissue data from Tabula Sapiens, a reference set of cells collected from many different tissues, is colored by cell type and filtered to isolate immune cells for further analysis.

Visualizing the cells most vulnerable to COVID-19

By analyzing gene expression patterns using CZ CELLxGENE, researchers have identified cells in the nose, lung (pictured), and saliva that are vulnerable to SARS-CoV-2 infection. Photo provided by VIB-UGent.

Powering COVID-19 research with reusable data

In another study, HCA researchers identified how the immune response differs between patients with severe COVID-19 and those with no symptoms. The results help explain the progression of COVID-19 to severe disease.

Preparing for future diseases

Researchers can reuse the data in CZ CELLxGENE Discover.



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Chan Zuckerberg Initiative Science

Chan Zuckerberg Initiative Science


Supporting the science and technology that will make it possible to cure, prevent, or manage all diseases by the end of the century.