Spatial Transcriptomic Technologies.
NGS-based spatial profiling
image-guided spatially resolved single cell sequencing
imaging-based spatial profiling
probe-based spatial profiling
spatial omics technologies
Journal
Cells
ISSN: 2073-4409
Titre abrégé: Cells
Pays: Switzerland
ID NLM: 101600052
Informations de publication
Date de publication:
10 08 2023
10 08 2023
Historique:
received:
24
06
2023
revised:
02
08
2023
accepted:
08
08
2023
medline:
28
8
2023
pubmed:
26
8
2023
entrez:
26
8
2023
Statut:
epublish
Résumé
Spatial transcriptomic technologies enable measurement of expression levels of genes systematically throughout tissue space, deepening our understanding of cellular organizations and interactions within tissues as well as illuminating biological insights in neuroscience, developmental biology and a range of diseases, including cancer. A variety of spatial technologies have been developed and/or commercialized, differing in spatial resolution, sensitivity, multiplexing capability, throughput and coverage. In this paper, we review key enabling spatial transcriptomic technologies and their applications as well as the perspective of the techniques and new emerging technologies that are developed to address current limitations of spatial methodologies. In addition, we describe how spatial transcriptomics data can be integrated with other omics modalities, complementing other methods in deciphering cellar interactions and phenotypes within tissues as well as providing novel insight into tissue organization.
Identifiants
pubmed: 37626852
pii: cells12162042
doi: 10.3390/cells12162042
pmc: PMC10453065
pii:
doi:
Types de publication
Journal Article
Review
Research Support, Non-U.S. Gov't
Langues
eng
Sous-ensembles de citation
IM
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