Integration of whole transcriptome spatial profiling with protein markers

被引：88

作者：

Ben-Chetrit, Nir ^{[1
,2
]}

Niu, Xiang ^{[1
,2
]}

Swett, Ariel D. D. ^{[1
,2
]}

Sotelo, Jesus ^{[1
,2
]}

Jiao, Maria S. S. ^{[3
]}

Stewart, Caitlin M. M. ^{[1
,2
]}

Potenski, Catherine ^{[1
,2
]}

Mielinis, Paulius ^{[4
]}

Roelli, Patrick ^{[4
]}

Stoeckius, Marlon ^{[4
]}

Landau, Dan A. A. ^{[1
,2
]}

机构：

[1] Weill Cornell Med, Sandra & Edward Meyer Canc Ctr, New York, NY 10021 USA

[2] New York Genome Ctr, New York, NY 10013 USA

[3] Mem Sloan Kettering Canc Ctr, Ctr Comparat Med & Pathol, New York, NY USA

[4] 10x Genom, Stockholm, Sweden

来源：

NATURE BIOTECHNOLOGY | 2023年 / 41卷 / 06期

基金：

美国国家卫生研究院;

关键词：

MACROPHAGES; RESOLUTION; EXPRESSION;

D O I：

10.1038/s41587-022-01536-3

中图分类号：

Q81 [生物工程学（生物技术）]; Q93 [微生物学];

学科分类号：

071005 ; 0836 ; 090102 ; 100705 ;

摘要：

Spatial transcriptomics and proteomics provide complementary information that independently transformed our understanding of complex biological processes. However, experimental integration of these modalities is limited. To overcome this, we developed Spatial PrOtein and Transcriptome Sequencing (SPOTS) for high-throughput simultaneous spatial transcriptomics and protein profiling. Compared with unimodal measurements, SPOTS substantially improves signal resolution and cell clustering and enhances the discovery power in differential gene expression analysis across tissue regions.

引用

页码：788 / +

页数：30

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