TY - JOUR
T1 - Nuclei multiplexing with barcoded antibodies for single-nucleus genomics
AU - Gaublomme, Jellert T.
AU - Li, Bo
AU - McCabe, Cristin
AU - Knecht, Abigail
AU - Yang, Yiming
AU - Drokhlyansky, Eugene
AU - Van Wittenberghe, Nicholas
AU - Waldman, Julia
AU - Dionne, Danielle
AU - Nguyen, Lan
AU - De Jager, Philip L.
AU - Yeung, Bertrand
AU - Zhao, Xinfang
AU - Habib, Naomi
AU - Rozenblatt-Rosen, Orit
AU - Regev, Aviv
N1 - Publisher Copyright: © 2019, The Author(s).
PY - 2019/12/1
Y1 - 2019/12/1
N2 - 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.
AB - 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.
UR - http://www.scopus.com/inward/record.url?scp=85068366442&partnerID=8YFLogxK
U2 - https://doi.org/10.1038/s41467-019-10756-2
DO - https://doi.org/10.1038/s41467-019-10756-2
M3 - مقالة
C2 - 31266958
SN - 2041-1723
VL - 10
JO - Nature Communications
JF - Nature Communications
IS - 1
M1 - 2907
ER -