NOV 12, 2019 10:00 AM PST

Leveraging single cell copy number to resolve tumor clonality

Sponsored by: 10x Genomics
C.E. Credits: Florida CE P.A.C.E. CE
Speaker

Abstract

DATE: November 12, 2019
TIME: 10:00am PST

Direct measurement of copy number by droplet-based shallow sequencing of genomic DNA has the potential to provide new insights into tumor heterogeneity and tumor evolution. We examine its utility in a well-studied cancer cell line within a series of tumor specimens. We will demonstrate how clustering based on single cell copy number can help identify subclones that, in turn, make it possible to resolve point mutations, structural variants, and loss of heterozygosity, leading to a clearer picture of overall sample heterogeneity. We will present how we were able to gain significant novel insights—even in well-studied systems—by integrating these clone-specific variants and building models from single cell sequencing of DNA. Finally, we will discuss the design considerations, such as sequencing depth and number of cells, that were important in these studies.

 

Learning Objectives:

  • Classify cancer as a dynamic and highly heterogeneous disease composed of a mix of clones characterized by distinct genotypes
  • Recognize the limitations of bulk sequencing methods in resolving subclonal complexity
  • Describe how single cell copy number profiling, together with clustering analysis, can uncover significant hidden insights even in well studied cell lines

 

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LabRoots is approved as a provider of continuing education programs in the clinical laboratory sciences by the ASCLS P.A.C.E. ® Program. By attending this webinar, you can earn 1 Continuing Education credit once you have viewed the webinar in its entirety.


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NOV 12, 2019 10:00 AM PST

Leveraging single cell copy number to resolve tumor clonality

Sponsored by: 10x Genomics
C.E. Credits: Florida CE P.A.C.E. CE

Specialty

Cancer Research

Molecular Biology

Genomics

Cancer Diagnostics

Genetics

Cell Biology

Immunology

Molecular Diagnostics

Biomarkers

Biotechnology

Cancer Therapeutics

Gene Expression

Clinical Research

Dna Sequencing

Oncology

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