用于可扩展搜索相似人类细胞的细胞图谱基础模型

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SCI 8 December 2024 A cell atlas foundation model for scalable search of similar human cells （Nature; IF:50.5） Heimberg, G. et al. A cell atlas foundation model for scalable search of similar human cells. Nature https://doi.org/10.1038/s41586-024-08411-y (2024) Correspondence to: heimberg@gene.com, regev.aviv@gene.com, vanderheiden.jason@gene.com, kaminker@gene.com Abstract 摘要 Single-cell RNA-seq (scRNA-seq) has profiled hundreds of millions of human cells across organs, diseases, development, and perturbations to date. Mining these growing atlases could reveal cell-disease associations, discover cell states in unexpected tissue contexts, and relate in vivo biology to in vitro models. These require a common measure of cell similarity across the body and an efficient way to search. Here, we develop SCimilarity, a metric learning framework to learn a unified and interpretable representation that enables rapid queries of tens of millions of cell profiles from diverse studies for c ………………………………