- Granados, Alejandro;
- Huang, Franklin W;
- Huang, Guo N;
- Kattah, Michael G;
- Peng, Tien;
- Keller, Andreas;
- Pisco, Angela Oliveira;
- Neff, Norma;
- Wang, Bruce;
- Song, Hanbing;
- Bucher, Simon;
- Chen, Ann T;
- Agrawal, Aditi;
- Allen, Nancy;
- Hyams, Benjamin;
- Burhan, Deviana;
- Detweiler, Angela;
- Huynh, Shelly;
- Ludwig, Nicole;
- Morri, Maurizio;
- Schultz-Schaeffer, Walter;
- Tan, Michelle;
- Weinstein, Hannah NW;
- Yan, Rose;
- Mekonen, Honey;
- Yan, Rose Jia;
- McGeever, Aaron;
- Chen, Xiaoxin;
- Galdos, Francisco;
- Mennillo, Elvira;
- Murti, Abhishek;
- Rao, Poorvi;
- Rusu, Lulia;
- Xie, Jamie;
- Liu, Jonathan;
- Huang, Sharon S;
- Tarashansky, Alexander;
- Awayan, Kyle;
- Granados, Alejandro A;
- Bucher, Simon;
- Song, Hanbing;
- Agrawal, Aditi;
- Chen, Ann T;
- Peng, Tien;
- Neff, Norma;
- Pisco, Angela Oliveira;
- Huang, Franklin;
- Wang, Bruce
Background
Infection by coronavirus SARS-CoV2 is a severe and often deadly disease that has implications for the respiratory system and multiple organs across the human body. While the effects in the lung have been extensively studied, less is known about the impact COVID-19 has across other organs.Methods
Here, we contribute a single-nuclei RNA-sequencing atlas comprising six human organs across 20 autopsies where we analyzed the transcriptional changes due to COVID-19 in multiple cell types. The integration of data from multiple organs enabled the identification of systemic transcriptional changes.Results
Computational cross-organ analysis for endothelial cells and macrophages identified systemic transcriptional changes in these cell types in COVID-19 samples. In addition, analysis of gene modules showed enrichment of specific signaling pathways across multiple organs in COVID-19 autopsies.Conclusions
Altogether, the COVID Tissue Atlas enables the investigation of both cell type-specific and cross-organ transcriptional responses to COVID-19, providing insights into the molecular networks affected by the disease and highlighting novel potential targets for therapies and drug development.Funding
The Chan-Zuckerberg Initiative, The Chan-Zuckerberg Biohub.