Nuclei multiplexing with barcoded antibodies for single-nucleus genomics

Single-nucleus RNA-seq (snRNA-seq) enables the interrogation of cellular states in complex tissues that are challenging to dissociate or are frozen, and opens the way to human genetics studies, clinical trials, and precise cell atlases of large organs. However, such applications are currently limite...

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Bibliographic Details
Main Author: Regev, Aviv (Author)
Other Authors: Massachusetts Institute of Technology. Department of Biology (Contributor), Koch Institute for Integrative Cancer Research at MIT (Contributor)
Format: Article
Language:English
Published: Springer Science and Business Media LLC, 2020-05-05T19:43:44Z.
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Online Access:Get fulltext
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100 1 0 |a Regev, Aviv  |e author 
100 1 0 |a Massachusetts Institute of Technology. Department of Biology  |e contributor 
100 1 0 |a Koch Institute for Integrative Cancer Research at MIT  |e contributor 
245 0 0 |a Nuclei multiplexing with barcoded antibodies for single-nucleus genomics 
260 |b Springer Science and Business Media LLC,   |c 2020-05-05T19:43:44Z. 
856 |z Get fulltext  |u https://hdl.handle.net/1721.1/125028 
520 |a Single-nucleus RNA-seq (snRNA-seq) enables the interrogation of cellular states in complex tissues that are challenging to dissociate or are frozen, and opens the way to human genetics studies, clinical trials, and precise cell atlases of large organs. However, such applications are currently limited by batch effects, processing, and costs. Here, we present an approach for multiplexing snRNA-seq, using sample-barcoded antibodies to uniquely label nuclei from distinct samples. Comparing human brain cortex samples profiled with or without hashing antibodies, we demonstrate that nucleus hashing does not significantly alter recovered profiles. We develop DemuxEM, a computational tool that detects inter-sample multiplets and assigns singlets to their sample of origin, and validate its accuracy using sex-specific gene expression, species-mixing and natural genetic variation. Our approach will facilitate tissue atlases of isogenic model organisms or from multiple biopsies or longitudinal samples of one donor, and large-scale perturbation screens. 
520 |a BRAIN Initiative (Grant U19MH114821) 
520 |a National Institutes of Health (U.S.) (Grant U01 AG046152) 
520 |a National Institutes of Health (U.S.) (Grant RF1 AG057473) 
520 |a National Institutes of Health (U.S.) (Grant RF1 AG015819) 
520 |a National Institutes of Health (U.S.) (Grant P30 AG10161) 
520 |a National Institutes of Health (U.S.) (Grant R01 AG17917) 
546 |a en 
690 |a General Biochemistry, Genetics and Molecular Biology 
690 |a General Physics and Astronomy 
690 |a General Chemistry 
655 7 |a Article 
773 |t 10.1038/s41467-019-10756-2 
773 |t Nature Communications