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The site is undergoing maintenance on
Thursday, September 10, 6:00 pm through Friday, September 11, 2:00 am (CEST), 2026.
If you encounter problems while ordering, please contact us at BDBCustomerService@bd.com
See MoreThe site is undergoing maintenance on
Thursday, September 10, 6:00 pm through Friday, September 11, 2:00 am (CEST), 2026
.If you encounter problems while ordering, please contact us at BDBCustomerService@bd.com
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The BD Rhapsody™ ATAC-Seq Assays enable you to either generate highly reproducible open chromatin profiling data from single cells or perform a multiomic analysis of open chromatin accessibility and transcriptome of single cells in one experiment using the BD Rhapsody™ Single-Cell Analysis System.
Are you interested in learning more about multiomic epigenomic profiling? Watch our webinar to learn how to combine image-based spectral cell sorting with ATAC-seq and whole transcriptome assays to decipher gene regulation in immunology research.
Learn more from the BD Rhapsody™ ATAC-Seq Assay Brochure.
Aymeric Silvin, a researcher from IGR (Institut Gustave Roussy) tested our kit and praised its ease of use and quick setup. He highlighted the high-quality data generated, making it an invaluable tool for researchers. Don't miss out on this revolutionary product - watch a short snapshot of the video.
Validated on the new BD Rhapsody™ Enhanced Cell Capture Beads V3, BD Rhapsody™ ATAC-Seq Assays generate consistent, high-quality data across different samples and users and a wide range of cell inputs. Key features include:
Sensitivity and specificity metrics for the BD Rhapsody™ Single-Cell ATAC-Seq Assay.
Sensitivity and specificity metrics for the BD Rhapsody™ Single-Cell Multiomic ATAC-Seq Assay.
High reproducibility with BD Rhapsody™ ATAC-Seq Assays
Robust performance across different cell input amounts.
In this study, the BD Rhapsody™ Single-Cell Multiomic ATAC-Seq Assay was used to analyze 2,190 nuclei from human peripheral blood mononuclear cells (PBMCs). A joint whole transcriptome analysis (WTA) and ATAC-seq dimensionality reduction was performed by Uniform Manifold Approximation and Projection (UMAP) and cells were annotated as members of distinct cell types using the WTA data from a PBMC reference atlas.
The heat map shows normalized enrichment scores of cell type–specific transcription factor motifs. Motif scores were calculated using a binomial distribution, determining the relative enrichment of each motif in differentially accessible regions of a given cell type compared to GC-matched background regions. The scores were then normalized across cell types per motif on a 0–1 scale, where 0 indicates least enrichment and 1 indicates highest enrichment of each motif.
A. Read density across each ATAC-seq cluster at the transcription start sites of cell type marker genes.
B. Violin plots showing cell type-specific gene expression in WTA data.
This heatmap shows Pearson’s correlation coefficients between ATAC-seq gene activity scores and gene expression values in PBMCs, with each row representing a cell type in WTA data and each column a cell type in ATAC-seq data.
For Research Use Only. Not for use in diagnostic or therapeutic procedures.