A Community-Driven Single-Cell PBMC Reference Integrating Landmark Datasets Spanning Health and Disease
bioRxiv
- Machine learning
- Resources: datasets, atlases and tools
- Inflammation
- Type I interferon signalling
- COVID-19
- Humans
The paper
Ana-Maria Cujba, Sergio Aguilar-Fernández, Adrien Antoinette, Gary Reynolds
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Wamia Said, Michaela Müller, Kian Hong Kock, Jacquelyn Nestor, Radhika Sonthalia, Eliora Violain Buyamin, Pragya Rawat, Alexander V. Predeus, Lorenz Kretschmer, Lijiang Fei, Kamil Slowikowski, Pritha Sen, Christopher V. Cosgriff, MGH COVID-19 Collection & Processing Team, Olli Dufva, Mohamad Askari, Kyle Kimler, Mary Futey, Ida Zucchi, Arsenios Chatzigeorgiou, Parisa Nejad, Liying Jin, Blake Bowen, Andrian Yang, Rik G.H. Lindeboom, Rachelly Normand, Stathis Megas, Yoshinari Ando, A Chatterjee, Jong-Eun Park, Partha P. Majumder, Ponpan Matangkasombut, Varodom Charoensawan, Jay W. Shin, Woong‐Yang Park, Asian Immune Diversity Atlas Network, Stephen Sansom, Berthold Göttgens, Joseph E. Powell, Lloyd Bod, Holger Heyn, Fabian Joachim Theis, Sarah Amalia Teichmann, Malte D. Luecken, Shyam Prabhakar, Alexandra–Chloé Villani,Wellcome/MRC Cambridge Stem Cell Institute · Broad Institute
bioRxiv · 25 Sep 2026 · Preprint, not peer-reviewed