We present Tahoe-100M, a giga-scale single-cell perturbation atlas comprising 100 million transcriptomes from 50 diverse cancer cell lines treated with 1,100 drug-dose conditions. This parallel profiling of thousands of perturbations at single-cell resolution with minimal batch effects is enabled by the Mosaic platform...
Jesse Zhang, Airol A. Ubas, Valentine Svensson et al.· Cell· 3 citations
The performance and flexibility of State set the stage for scaling the development of AI models of cell state, a machine learning model that predicts perturbation effects while accounting for cellular heterogeneity within and across experiments.
Abhinav K. Adduri, Dhruv Gautam, Beatrice Bevilacqua et al.· Cell· 4 citations
Single-cell RNA sequencing has transformed cell biology by enabling precise transcriptomic measurements of individual cells. The Sequence Read Archive (SRA) is the largest public repository of sequencing reads, yet much of it remains underutilized due to unstandardized metadata. Here, we introduce scBaseCount, a databa...
Nicholas D. Youngblut, Christopher Carpenter, Arshia Nayebnazar et al.· Cell· 5 citations
A platform to uncover genes affecting neuronal excitability in scalable CRISPR screens using CRISPRi and the fluorescent calcium integrator CaMPARI2 is developed to uncover molecular mechanisms controlling neuronal function in health and disease.
Steven C. Boggess, Vaidehi Gandhi, Ming-Chi Tsai et al.· Nature Communications· 0 citations
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