Project description:Here we present advancements in single-cell combinatorial indexed ATAC-seq (sciATAC) to measure chromatin accessibility that leverage nanowell chips to achieve atlas-scale cell throughput (>105) at low cost. Our optimized techniques also achieve a high fraction of reads that fall within called peaks (>80%) and low cell doublet rates. We also demonstrate an alternative workflow that achieves high cell coverage while retaining exceptional enrichment for open chromatin regions, enabling the assessment of >70,000 unique accessible loci per cell.
Project description:We introduce single cell combinatorial indexed cytometry by sequencing (SCITO-seq), a single cell proteomics workflow that combines split-pool indexing and droplet-based sequencing
Project description:We performed single-cell combinatorial indexing ATAC-seq on the basal-like TNBC cell line HCC1143 under MEK, PI3K, BET and combination treatments as well as DMSO controls
Project description:We describe sciMET-ATAC, a combinatorial indexing-based technique that is capable of producing single-cell DNA methylation plus chromatin accessibility datasets.
Project description:This data set contains single-cell RNA-seq data from CD45-Ter119-Cd41-CD71-Vibrant Dye+VCAM1+ cells, indexed for the expression of these markers as well as CD51, CD61 and CD200
Project description:The assay for transposase-accessible chromatin using sequencing (ATAC-seq) is widely used to identify regulatory regions throughout the genome. However, only a few studies have been done at the single cell level (scATAC-seq) due to technical difficulties. Here we developed a simple and robust plate-based scATAC-seq method, combining upfront bulk tagmentation with single-nuclei sorting, to investigate open chromatin regions. We applied this method on mouse splenocytes and unbiasedly revealed key regulatory regions and transcription factors that define each cell (sub)type.