Cell2location maps fine-grained cell types in spatial transcriptomics

Spatial transcriptomic technologies promise to resolve cellular wiring diagrams of tissues in health and disease, but comprehensive mapping of cell types in situ remains a challenge. Here we present сell2location, a Bayesian model that can resolve fine-grained cell types in spatial transcriptomic da...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Veröffentlicht in:Nature biotechnology Jg. 40; H. 5; S. 661 - 671
Hauptverfasser: Kleshchevnikov, Vitalii, Shmatko, Artem, Dann, Emma, Aivazidis, Alexander, King, Hamish W., Li, Tong, Elmentaite, Rasa, Lomakin, Artem, Kedlian, Veronika, Gayoso, Adam, Jain, Mika Sarkin, Park, Jun Sung, Ramona, Lauma, Tuck, Elizabeth, Arutyunyan, Anna, Vento-Tormo, Roser, Gerstung, Moritz, James, Louisa, Stegle, Oliver, Bayraktar, Omer Ali
Format: Journal Article
Sprache:Englisch
Veröffentlicht: New York Nature Publishing Group US 01.05.2022
Nature Publishing Group
Schlagworte:
631/114/2401
631/1647/2017
Agriculture
Bayesian analysis
Bioinformatics
Biomedical and Life Sciences
Biomedical Engineering/Biotechnology
Biomedicine
Biotechnology
Follicles
Hypothalamus
Immune system
Life Sciences
Lymph nodes
Mapping
Thalamus
Tissues
Transcriptomics
Wiring
ISSN:1087-0156, 1546-1696, 1546-1696
Online-Zugang:Volltext
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
Beschreibung
Zusammenfassung:Spatial transcriptomic technologies promise to resolve cellular wiring diagrams of tissues in health and disease, but comprehensive mapping of cell types in situ remains a challenge. Here we present сell2location, a Bayesian model that can resolve fine-grained cell types in spatial transcriptomic data and create comprehensive cellular maps of diverse tissues. Cell2location accounts for technical sources of variation and borrows statistical strength across locations, thereby enabling the integration of single-cell and spatial transcriptomics with higher sensitivity and resolution than existing tools. We assessed cell2location in three different tissues and show improved mapping of fine-grained cell types. In the mouse brain, we discovered fine regional astrocyte subtypes across the thalamus and hypothalamus. In the human lymph node, we spatially mapped a rare pre-germinal center B cell population. In the human gut, we resolved fine immune cell populations in lymphoid follicles. Collectively, our results present сell2location as a versatile analysis tool for mapping tissue architectures in a comprehensive manner. A Bayesian model maps the location of cell types in tissues with higher sensitivity.
Bibliographie:ObjectType-Article-1
SourceType-Scholarly Journals-1
ObjectType-Feature-2
content type line 14
content type line 23
ISSN:1087-0156
1546-1696
1546-1696
DOI:10.1038/s41587-021-01139-4