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Spatial Transcriptomic Technologies
被引:16
|作者:
Chen, Tsai-Ying
[1
,2
,3
]
You, Li
[1
,2
,3
]
Hardillo, Jose Angelito U.
[2
,4
]
Chien, Miao-Ping
[1
,2
,3
,4
]
机构:
[1] Erasmus MC, Dept Mol Genet, NL-3015 GD Rotterdam, Netherlands
[2] Erasmus MC Canc Inst, NL-3015 GD Rotterdam, Netherlands
[3] Oncode Inst, NL-3521 AL Utrecht, Netherlands
[4] Erasmus MC, Dept Otorhinolaryngol Head & Neck Surg, NL-3015 GD Rotterdam, Netherlands
来源:
关键词:
spatial omics technologies;
NGS-based spatial profiling;
probe-based spatial profiling;
imaging-based spatial profiling;
image-guided spatially resolved single cell sequencing;
SINGLE-CELL TRANSCRIPTOMICS;
GENE-EXPRESSION;
RNA;
SEQ;
D O I:
10.3390/cells12162042
中图分类号:
Q2 [细胞生物学];
学科分类号:
071009 ;
090102 ;
摘要:
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.
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页数:13
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