期刊
NATURE METHODS
卷 16, 期 5, 页码 409-+出版社
NATURE PUBLISHING GROUP
DOI: 10.1038/s41592-019-0392-0
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资金
- NIH R01 grant [HL-125816]
- Colton Center for Autoimmunity
- Spatz Foundation
- NIH R21 grant [HG-009748]
- Chan Zuckerberg Initiative grant [HCA-A-1704-01895]
- NYU startup fund
- NIH/NHGRI [R00HG008171, DP2HG010099]
- NIH/NCI [R01CA218668]
- DARPA [D18AP00053]
- Sidney Kimmel Foundation
- Melanoma Research Alliance
- Brain and Behavior Foundation
- Hope Funds for Cancer Research postdoctoral fellowship
- NIH R35 grant [GM124998]
- NYGC startup fund
- Hirschl/Weill-Coulier Trust
Multimodal single-cell assays provide high-resolution snapshots of complex cell populations, but are mostly limited to transcriptome plus an additional modality. Here, we describe expanded CRISPR-compatible cellular indexing of transcriptomes and epitopes by sequencing (ECCITE-seq) for the high-throughput characterization of at least five modalities of information from each single cell. We demonstrate application of ECCITE-seq to multimodal CRISPR screens with robust direct single-guide RNA capture and to clonotype-aware multimodal phenotyping of cancer samples.
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