Chromium Single Cell CNV

Reveal Copy Number Variation, Cell by Cell

Chromium Single Cell CNV provides a comprehensive, scalable solution for revealing genome heterogeneity and understanding clonal evolution. Study disease pathogenesis or characterize neuronal mosaicism at the single cell level.

Single Cell CNV

Update on Single Cell CNV

At 10x Genomics, we are committed to enabling your research and providing you with the best experience to make scientific discoveries. Earlier this year, as a part of our product life cycle management, we notified you about refinements to some of our on-market product offerings.

As of December 31, 2020, we discontinued the sale of our Chromium Single Cell CNV product. We will not be releasing a new version of this product.

We thank you for your partnership and are committed to providing the highest-quality technical and software support.

Please contact your Sales Executive, Field Application Scientist, or email our Support Team at [email protected] with any questions.

  • High resolution

    Accurately detect single cell CNV events at 2 Mb resolution.

  • High sensitivity

    Detects CNV events down to 100s of Kb on clusters of cells

  • Flexible and Scalable

    Profile 100 to 1000s of cells in a single sample

  • Streamlined data analysis

    Explore and interpret single cell gene expression profiles with easy-to-use software.

  • Simple lab workflow

    2-step workflow for sample to sequencing-ready library.

  • Diverse sample compatibility

    Demonstrated with cell lines, primary cells, fresh and frozen tissue.

Proven Results

Watch how customers are using Chromium Single Cell Gene Expression.

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Proven Results

Videos

Watch how customers are using Chromium Single Cell Gene Expression.

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Publications

Single-cell sequencing of genomic DNA resolves sub-clonal heterogeneity in a melanoma cell line

Single-cell sequencing of genomic DNA resolves sub-clonal heterogeneity in a melanoma cell line

Communications Biology, Jun 2020

Communications Biology, Jun 2020

SCOPE: A Normalization and Copy-Number Estimation Method for Single-Cell DNA Sequencing

SCOPE: A Normalization and Copy-Number Estimation Method for Single-Cell DNA Sequencing

Cell systems, May 2020

Cell systems, May 2020

RobustClone: a robust PCA method for tumor clone and evolution inference from single-cell sequencing data

RobustClone: a robust PCA method for tumor clone and evolution inference from single-cell sequencing data

Bioinformatics, May 2020

Bioinformatics, May 2020

Resources

Assessing Tumor Heterogeneity with Single Cell CNV

Assessing Tumor Heterogeneity with Single Cell CNV

Application Note

Application Note

Discover Genetic Heterogeneity in Cancer

Discover Genetic Heterogeneity in Cancer

Application Note

Application Note