Droplet-based combinatorial indexing for massive-scale single-cell chromatin accessibility

被引:282
作者
Lareau, Caleb A. [1 ,2 ,3 ,4 ]
Duarte, Fabiana M. [1 ,2 ]
Chew, Jennifer G. [5 ]
Kartha, Vinay K. [1 ,2 ]
Burkett, Zach D. [5 ]
Kohlway, Andrew S. [5 ]
Pokholok, Dmitry [6 ]
Aryee, Martin J. [1 ,3 ,4 ,7 ]
Steemers, Frank J. [6 ]
Lebofsky, Ronald [5 ]
Buenrostro, Jason D. [1 ,2 ]
机构
[1] Broad Inst MIT & Harvard, Cambridge, MA 02142 USA
[2] Harvard Univ, Dept Stem Cell & Regenerat Biol, Cambridge, MA 02138 USA
[3] Massachusetts Gen Hosp, Dept Pathol, Boston, MA 02114 USA
[4] Harvard Med Sch, Boston, MA 02115 USA
[5] Digital Biol Grp, Biorad, Pleasanton, CA USA
[6] Illumina, San Diego, CA USA
[7] Harvard TH Chan Sch Publ Hlth, Dept Biostat, Boston, MA USA
关键词
HUMAN HEMATOPOIESIS; IN-VIVO; TRANSPOSITION; INTERROGATION; ARCHITECTURE; CYTOMETRY; BINDING; ATLAS;
D O I
10.1038/s41587-019-0147-6
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
Recent technical advancements have facilitated the mapping of epigenomes at single-cell resolution; however, the throughput and quality of these methods have limited their widespread adoption. Here we describe a high-quality (105 nuclear fragments per cell) droplet-microfluidics-based method for single-cell profiling of chromatin accessibility. We use this approach, named 'droplet single-cell assay for transposase-accessible chromatin using sequencing' (dscATAC-seq), to assay 46,653 cells for the unbiased discovery of cell types and regulatory elements in adult mouse brain. We further increase the throughput of this platform by combining it with combinatorial indexing (dsciATAC-seq), enabling single-cell studies at a massive scale. We demonstrate the utility of this approach by measuring chromatin accessibility across 136,463 resting and stimulated human bone marrow-derived cells to reveal changes in the cis- and trans-regulatory landscape across cell types and under stimulatory conditions at single-cell resolution. Altogether, we describe a total of 510,123 single-cell profiles, demonstrating the scalability and flexibility of this droplet-based platform.
引用
收藏
页码:916 / +
页数:13
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