{"entity":{"id":"universal-cell-embedding","kind":"technology","name":"Universal Cell Embedding (UCE)","aka":[],"tldr":"Universal Cell Embedding maps any cell from any species into one shared space without retraining.","summary":"Universal Cell Embedding (UCE) is a transformer that represents each cell through ESM2 protein embeddings of the genes it expresses, so genes from different species map into the same space and no retraining is needed for a new organism. Developed at Stanford with the Chan Zuckerberg Initiative and described in a 2023 bioRxiv preprint, it was trained on 36M cells across 8 species and enables zero-shot cell type mapping, placing a new cell into a universal atlas without labels. It is useful for cross-species comparison, for example relating mouse tumour models to human samples. Its embeddings are coarse for fine perturbation effects, so it is a mapping tool rather than a model of how cells respond to drugs. For a newcomer: UCE puts every cell from any species onto one shared map.","status":"emerging","asOf":"2026-09-08","links":[{"label":"bioRxiv 2023","url":"https://www.biorxiv.org/content/10.1101/2023.11.28.568918v1"}],"tags":["foundation-model","virtual-cell"],"related":[],"cancers":[],"sections":["ai-computation"],"technologies":[],"targets":[],"drugs":[],"companies":["chan-zuckerberg-initiative"],"institutions":["stanford"],"pathways":[],"terms":[],"trials":[],"people":[],"bottlenecks":[],"keyPapers":[],"journals":[],"dependsOn":[],"notes":[],"principle":"Transformer over ESM2 protein embeddings of expressed genes.","strengths":["Cross-species zero-shot"],"limitations":["Coarse for fine perturbation effects"],"since":2023},"route":"/technologies/universal-cell-embedding/","neighbours":{"section":[{"id":"ai-computation","kind":"section","name":"AI & Computation","route":"/fronts/ai-computation/"}],"company":[{"id":"chan-zuckerberg-initiative","kind":"company","name":"Chan Zuckerberg Initiative (Biohub)","route":"/companies/chan-zuckerberg-initiative/"}],"institution":[{"id":"stanford","kind":"institution","name":"Stanford Health Care / Stanford Cancer Institute","route":"/institutions/stanford/"}],"roadmap":[{"id":"virtual-cell","kind":"roadmap","name":"Virtual cell roadmap: from bulk omics to a predictive model of a cancer cell","route":"/roadmaps/virtual-cell/"}]}}