Single Cell Atlas: a single-cell multi-omics human cell encyclopedia

• Published in: Genome Biology Vol. 25; no. 1; pp. 104 - 21
• Main Authors: Pan, Lu, Parini, Paolo, Tremmel, Roman, Loscalzo, Joseph, Lauschke, Volker M, Maron, Bradley A, Paci, Paola, Ernberg, Ingemar, Tan, Nguan Soon, Liao, Zehuan, Yin, Weiyao, Rengarajan, Sundararaman, Li, Xuexin
• Format: Journal Article
• Language: English
• Published: England BioMed Central 19-04-2024; BMC
• Subjects: Adult; Ascomycota; Biological analysis; Cells; Databases, Factual; Fetus; Fetuses; Flow cytometry; Gene expression; Gene Expression Profiling; Human database; Humans; Lymphocytes; Medicin och hälsovetenskap; Multi-omics; Multiomics; Single Cell Atlas; Single-cell omics; Single-cell RNA-sequencing; Spatial transcriptomics; Transcriptomics; Flow cytometry; Mass cytometry; Spatial transcriptomics; Single-cell RNA-sequencing; Human database; Multi-omics; Single Cell Atlas; Single-cell immune profiling; Single-cell omics; Single-cell ATAC-sequencing
• ISSN: 1474-760X; 1474-7596; 1474-760X
• DOI: 10.1186/s13059-024-03246-2

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.