• ⸻ 2026-06-09

Simpler queries for the 2.5B transcriptional profiles of the Arc Virtual Cell Atlas

• Sunny Sun, Sergei Rybakov, Frederic Enard, Chaichontat Sriworarat, Alex Wolf

With 2.5B expression profiles that map to about 600M cells, the Arc Virtual Cell Atlas offers the world’s largest collection of uniformly processed scRNA-seq datasets. Arc Institute distributes the atlas as 460k parquet and h5ad files totaling 41TB on Google Cloud Storage. We present a database mirror that offers queries by entities, a graphical user interface, and zero-copy, lineage-aware sharing of datasets.