PT  - JOURNAL ARTICLE
AU  - Florian V. De Rop
AU  - Joy N. Ismail
AU  - Carmen Bravo González-Blas
AU  - Gert J. Hulselmans
AU  - Christopher C. Flerin
AU  - Jasper Janssens
AU  - Koen Theunis
AU  - Valerie M. Christiaens
AU  - Jasper Wouters
AU  - Gabriele Marcassa
AU  - Joris de Wit
AU  - Suresh Poovathingal
AU  - Stein Aerts
TI  - HyDrop: droplet-based scATAC-seq and scRNA-seq using dissolvable hydrogel beads
AID  - 10.1101/2021.06.04.447104
DP  - 2021 Jan 01
TA  - bioRxiv
PG  - 2021.06.04.447104
4099  - http://biorxiv.org/content/early/2021/06/06/2021.06.04.447104.short
4100  - http://biorxiv.org/content/early/2021/06/06/2021.06.04.447104.full
AB  - Single-cell RNA-seq and single-cell ATAC-seq technologies are being 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 allow for more specialized multi-ome assays, custom droplet microfluidics may provide complementary solutions to commercial setups. We developed HyDrop, a flexible and generic 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 non-commercial scATAC-seq protocol in droplets. After validating HyDrop-ATAC, we applied it to flash-frozen mouse cortex and generated 8,502 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 9,508 single-cell transcriptomes closely matching reference single-cell gene expression data. Finally, we leveraged HyDrop-RNA’s high capture rate to analyse a small population of FAC-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.Competing Interest StatementThe authors have declared no competing interest.