Rxivist combines preprints from bioRxiv with data from Twitter to help you find the papers being discussed in your field. Currently indexing 55,321 bioRxiv papers from 255,174 authors.
Droplet-based combinatorial indexing for massive scale single-cell epigenomics
Fabiana M Duarte,
Jennifer G Chew,
Vinay K Kartha,
Zachary D Burkett,
Andrew S Kohlway,
Martin J Aryee,
Frank J Steemers,
Jason Daniel Buenrostro
Posted 18 Apr 2019
bioRxiv DOI: 10.1101/612713
Posted 18 Apr 2019
While recent technical advancements have facilitated the mapping of epigenomes at single-cell resolution, the throughput and quality of these methods have limited the widespread adoption of these technologies. Here, we describe a droplet microfluidics platform for single-cell assay for transposase accessible chromatin (scATAC-seq) for high-throughput single-cell profiling of chromatin accessibility. We use this approach for the unbiased discovery of cell types and regulatory elements within the mouse brain. Further, we extend the throughput of this approach by pairing combinatorial indexing with droplet microfluidics, enabling single-cell studies at a massive scale. With this approach, we measure chromatin accessibility across resting and stimulated human bone marrow derived cells to reveal changes in the cis- and trans-regulatory landscape across cell types and upon stimulation conditions at single-cell resolution. Altogether, we describe a total of 502,207 single-cell profiles, demonstrating the scalability and flexibility of this droplet-based platform.
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