About the Data

We use a systems approach to generate multidimensional data, allowing rapid testing of thousands of hypotheses.


Understanding gene expression networks.

We measured the levels of over 16,000 messenger RNA transcripts in whole blood using Next Generation Sequencing technology. This gene expression data will help inform the interpretation of all other COVIDome datasets.


A live snapshot of biological function.
SOMAscan technology allowed us to quantify over 5,000 protein epitopes, which we paired with mass-spectrometry measurements of over 400 abundant proteins to generate the plasma proteome.


A deeper look at immune signaling proteins.

We used Meso Scale Discovery assays to quantitatively asses a panel of over 80 cytokines, chemokines, and other immune regulatory in plasma.


Life-sustaining biochemical reactions.
From both red blood cells and plasma, we measured hundreds of metabolites using mass spectrometry, allowing us to identify metabolic pathways dysregulated in COVID-19.

Immune Maps.

Precise mapping of immune cell lineages and subtypes.
Single-cell mass cytometry (CyTOF) allowed us to measure over 100 immune cell subtypes, including major lymphoid and myeloid subsets of key importance to SARS pathology.


Development of antibodies against SARS-CoV-2.
We also used Meso Scale Discovery assays to detect and measure levels of antibodies against the SARS-CoV-2 virus.

Created in partnership between the Office of the Vice Chancellor for Research and the School of Medicine.

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