清脆的
转录组
计算生物学
生物
单细胞分析
核糖核酸
RNA序列
细胞
基因
遗传学
基因表达
作者
Eleni P. Mimitou,Anthony Cheng,Antonino Montalbano,Stephanie Hao,Marlon Stoeckius,Mateusz Legut,Timothy Roush,Alberto Herrera,Efthymia Papalexi,Zhengqing Ouyang,Rahul Satija,Neville E. Sanjana,Sergei B. Koralov,Peter Smibert
出处
期刊:Nature Methods
[Springer Nature]
日期:2019-04-22
卷期号:16 (5): 409-412
被引量:396
标识
DOI:10.1038/s41592-019-0392-0
摘要
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. ECCITE-seq combines the single-cell analysis of multiple modalities, for example transcriptome, immune cell receptors, cell surface proteins and single-guide RNAs.
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