Hydrop enables droplet-based single-cell ATAC-seq and single-cell RNA-seq using dissolvable hydrogel beads

Author:

De Rop Florian V12ORCID,Ismail Joy N12,Bravo González-Blas Carmen12,Hulselmans Gert J12,Flerin Christopher Campbell123,Janssens Jasper12,Theunis Koen123,Christiaens Valerie M12,Wouters Jasper12ORCID,Marcassa Gabriele14,de Wit Joris14,Poovathingal Suresh1ORCID,Aerts Stein12ORCID

Affiliation:

1. VIB-KU Leuven/VIB Center for Brain & Disease Research

2. Laboratory of Computational Biology, Department of Human Genetics, KU Leuven

3. Aligning Science Across Parkinson’s (ASAP) Collaborative Research Network

4. Laboratory of Synapse Biology, Department of Neurosciences, KU Leuven

Abstract

Single-cell RNA-seq and single-cell assay for transposase-accessible chromatin (ATAC-seq) technologies are used extensively to create cell type atlases for a wide range of organisms, tissues, and disease processes. To increase the scale of these atlases, lower the cost and pave the way for more specialized multiome assays, custom droplet microfluidics may provide solutions complementary to commercial setups. We developed HyDrop, a flexible and open-source droplet microfluidic platform encompassing three protocols. The first protocol involves creating dissolvable hydrogel beads with custom oligos that can be released in the droplets. In the second protocol, we demonstrate the use of these beads for HyDrop-ATAC, a low-cost noncommercial scATAC-seq protocol in droplets. After validating HyDrop-ATAC, we applied it to flash-frozen mouse cortex and generated 7996 high-quality single-cell chromatin accessibility profiles in a single run. In the third protocol, we adapt both the reaction chemistry and the capture sequence of the barcoded hydrogel bead to capture mRNA, and demonstrate a significant improvement in throughput and sensitivity compared to previous open-source droplet-based scRNA-seq assays (Drop-seq and inDrop). Similarly, we applied HyDrop-RNA to flash-frozen mouse cortex and generated 9508 single-cell transcriptomes closely matching reference single-cell gene expression data. Finally, we leveraged HyDrop-RNA’s high capture rate to analyze a small population of fluorescence-activated cell sorted neurons from the Drosophila brain, confirming the protocol’s applicability to low input samples and small cells. HyDrop is currently capable of generating single-cell data in high throughput and at a reduced cost compared to commercial methods, and we envision that HyDrop can be further developed to be compatible with novel (multi) omics protocols.

Funder

H2020 European Research Council

KU Leuven

Fonds Wetenschappelijk Onderzoek

Michael J. Fox Foundation for Parkinson's Research

Aligning Science Across Parkinson's

Foundation Against Cancer

Stichting Tegen Kanker

Belgian Cancer Society

VIB Tech Watch

Publisher

eLife Sciences Publications, Ltd

Subject

General Immunology and Microbiology,General Biochemistry, Genetics and Molecular Biology,General Medicine,General Neuroscience

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