Single-cell sequencing datasets are key in biology and medicine for unraveling insights into heterogeneous cell populations with unprecedented resolution. Here, we construct a single-cell multi-omics map of human tissues through in-depth characterizations of datasets from five single-cell omics, spatial transcriptomics, and two bulk omics across 125 healthy adult and fetal tissues. We construct its complement web-based platform, the Single Cell Atlas (SCA, www.singlecellatlas.org ), to enable vast interactive data exploration of deep multi-omics signatures across human fetal and adult tissues. The atlas resources and database queries aspire to serve as a one-stop, comprehensive, and time-effective resource for various omics studies.
Keywords: Flow cytometry; Human database; Mass cytometry; Multi-omics; Single Cell Atlas; Single-cell ATAC-sequencing; Single-cell RNA-sequencing; Single-cell immune profiling; Single-cell omics; Spatial transcriptomics.
© 2024. The Author(s).