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Spatial omics technologies at multimodal and single cell/subcellular level

Authors :
Jiwoon Park
Junbum Kim
Tyler Lewy
Charles M. Rice
Olivier Elemento
André F. Rendeiro
Christopher E. Mason
Source :
Genome Biology, Vol 23, Iss 1, Pp 1-19 (2022)
Publication Year :
2022
Publisher :
BMC, 2022.

Abstract

Abstract Spatial omics technologies enable a deeper understanding of cellular organizations and interactions within a tissue of interest. These assays can identify specific compartments or regions in a tissue with differential transcript or protein abundance, delineate their interactions, and complement other methods in defining cellular phenotypes. A variety of spatial methodologies are being developed and commercialized; however, these techniques differ in spatial resolution, multiplexing capability, scale/throughput, and coverage. Here, we review the current and prospective landscape of single cell to subcellular resolution spatial omics technologies and analysis tools to provide a comprehensive picture for both research and clinical applications.

Details

Language :
English
ISSN :
1474760X
Volume :
23
Issue :
1
Database :
Directory of Open Access Journals
Journal :
Genome Biology
Publication Type :
Academic Journal
Accession number :
edsdoj.2fd67faffedb4e178e010bac90246d35
Document Type :
article
Full Text :
https://doi.org/10.1186/s13059-022-02824-6