Data available from Covid-19 cell atlas

Datasets from the Covid-19 Cell Atlas are now available for you to interactively explore on FASTGenomics. Beyond visualization with cellxgene you can easily run your own analyses of the data and re-use them for your own research.

Most data are included in the paper SARS-CoV-2 entry factors are highly expressed in nasal epithelial cells together with innate immune genes by Sungnak et al. (Nature Medicine, 2020). The paper is a collaboration of the HCA Lung Biological Network, where FASTGenomics is proud to be part of.

• Explore the reproductive system with data from Guo et al. (2018), Henry et al. (2018) and Vento-Tormo et al. (2018)
• Explore the urinary system with data from Stewart et al. (2019)
• Explore the cardiovascular system with data from Wilk et al. (2020), unpublished data from Litvinukova et al. (2020) and data with complete analyses from Schulte-Schrepping et al. (2020)
• Explore the lymphatic system with data from Madissoon et al. (2019) and Park et al. (2020)
• Explore the digestive system with data from Baron et al. (2016), James et al. (2020), Macparland et al. (2018), Madissoon et al. (2019), Martin et al. (2019), Popescu et al. (2019), Smilie et al. (2019), and Wang et al. (2020)
• Explore the respiratory system with (partly unpublished) data from Wyler et al. (2020), Deprez et al. (2020), Lukassen et al. (2020), Madissoon et al. (2019), Miller et al. (2020), and Viera-Braga et al. (2019)
• Explore the sensory-nervous system with data from Aldinger et al. (2020), Collin et al. (2020), Habib et al. (2017), Lukowski et al. (2019), Menon et al. (2020), and Voigt et al. (2019)
• Explore the integumentary system with data from Cheng et al. (2018)