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Single-Cell ATAC-seq Services

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Catalog Number
Format
G02110000

Assessing the genome-wide chromatin accessibility from individual cells provides unique insights of gene expression regulation for a number of fields such as development, oncology, and neurology. Bio-Rad’s SureCell ATAC-seq provides a fast, robust, and sensitive analysis of the epigenome at single-cell resolution. This method is powered by the combination of both Bio-Rad’s droplet-based microfluidic and a hyperactive Tn5 transposase that brings adapters and barcodes to the chromatin of individual nuclei. This best-in-class solution supports a better understanding of the behavior of an individual cell in the context of its environment.

Diagenode and Bio-Rad have partnered to bring you a unique end-to-end service that answers your biological questions about complex cell populations through interrogation of the epigenetic landscape at the single-cell level.

Features and benefits

  • High capture efficiency (up to 95%)
  • Greater number of unique fragments (>10,000) per cell that map to the nuclear genome, ATAC peaks, and transcription start sites (TSSs)
  • Powerful and customized data analysis options

  • Intro to Diagenode’s and Bio-Rad’s scATAC-seq
    1. Single cell sequencing provides you more in-depth insight of gene expression and gene regulation at individual cell resolution
    2. ATAC-Seq identifies subpopulations

      Chromatin accessibility is more cell type specific than mRNA expression in primary blood cells

      RNA-seq: profile gene expression patterns
      ATAC-seq: profile regulators of cell identity

    3. Chromatin accessibility more adept than mRNA expression levels at classifying cell types.

      Chromatin accessibility is more cell type specific than mRNA expression in primary blood cells


  • The technology and data of our scATAC-seq

    Workflow of our scATAC-seq solution


    Input: ~7,500 tagmented nuclei per well

    Output: 5,000 nuclei analyzed


    Bio-Rad’s Droplet Digital Technology

      • 1.



        1. Typically, cell data points are represented twice, “fractionated” which can cause inaccuracy
        2. Bio-Rad’s Droplet Digital Technology merges bead barcodes to create a droplet barcode to resolve this issue
        3. Unique “ATAC fingerpint” can be resolved using BAP: Bead-based scATAC-Seq Processing



      • 2.



        Since Tn5 cuts randomly, every cell has a unique set of cut fragments: an ATAC fingerprint!

        If % unique fragments shared is high enough (compared to background), beads are inferred to have originated from the same droplet




      • 3.



        This bioinformatic process, BAP, works very well because there is a large difference in the similarity score between barcodes originating in the same droplet versus barcodes originating in different droplets. This is demonstrated by the very sharp knee on the plot.

        Y-axis = “similarity score” or the Jaccard index
        X-axis = bead pairs in rank order



    • 4.

      First PCR product fully adaptered

      In the workflow, droplet reaction yields sequencing ready library. During droplet PCR, the tagmented nuclei are ligated with adaptors with beads barcode, sample index and P5 and P7, generating sufficient library that can be ready to sequence.



    Performance data from a species mixing experiment of human and mouse cell lines.

    Excellent cell utilization and enrichment

    Mixed mouse 3T3 and human K562 cells

    • Cell Utilization up to 95%
    • TSS Enrichment score: >40*
    • > 40% Fraction of reads in peaks**
    • > 20,000 Unique Genomics Fragments/cell at a read depth of 50k reads/cell
    *40x more reads at TSS than at sites 2kb away from the TSS. ** . FRIP should be as high as possible because reads outside peaks are not useful for analyzing chromatin accessibility.




    Highly complex libraries results in more biological meaningful data at less sequencing depth


    Encyclopedia of DNA Elements (ENCODE)
    • NIH’s resource of human epigenomics data to catalyze basic biology and disease oriented research.
    • ENCODE contains consensus regions of open chromatin in PBMCs

    Data generated from Bio-Rad’s ATAC-Seq kit shows more consensus peaks across sequencing depth compared to competitor



    Better classification of cell types with Bio-Rad’s ATAC-Seq than competing technology


    PBMCs: Cell mis-classification

    PBMC datasets from Bio-Rad’s and competitor’s ATAC-Seq were correlated with the bulk ATAC-Seq references and assigned a cell type to each barcode

    Mis-classification rate of both datasets calculated by progressively down sampling the libraries by measuring number of cell types changed from non-downsampled cell types.

    Data obtained from competing technology has ~2X greater rate of misclassifying cells.

  • Our service advantages, workflow, and requirements

    Diagenode service advantages:

    Design your project with a leader in epigenomics profiling services.

    End to end service from nuclei isolation optimization to bioinformatic analyses, including 3 reports.

    Bio-Rad’s powerful technology:

    • Up to 95% cell capture for your precious samples
    • Allows analysis of 400-10,000 single cells, i.e. more than 30,000 cells/kit
    • Higher number of unique reads per cell
    • Obtain highly complex library dataset from both cultured and primary tissue samples
    • More biologically meaningful data at less sequencing compared to competitor
    • Better classification of cell types, true resolution of cell clusters

    Wide offering for bioinformatic analyses: Standard analyses, advanced analyses, integrative analyses, data mining.

  •  Documents
    Full Diagenode products brochure BROCHURE
    Need to know more about our products? Download the brochure.
    Download
    Epigenomics Profiling Services FLYER
    Chromatin analysis DNA methylation services RNA-seq analysis
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  •  Publications

    How to properly cite this product in your work

    Diagenode strongly recommends using this: Single-Cell ATAC-seq Services (Diagenode Cat# G02110000). Click here to copy to clipboard.

    Using our products in your publication? Let us know!

    Droplet-based combinatorial indexing for massive-scale single-cell chromatin accessibility
    Caleb A. Lareau, Fabiana M. Duarte, Jennifer G. Chew, Vinay K. Kartha, Zach D. Burkett, Andrew S. Kohlway, Dmitry Pokholok, Martin J. Aryee, Frank J. Steemers, Ronald Lebofsky, and Jason D. Buenrostro
    Recent technical advancements have facilitated the mapping of epigenomes at single-cell resolution; however, the throughput and quality of these methods have limited their widespread adoption. Here we describe a high-quality (105 nuclear fragments per cell) droplet-microfluidics-based method for single-cell pro...

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