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Detection of Copy Number Alterations Using Single Cell Sequencing
Published on: February 17, 2017
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Clonal Evolution and Changes in Two AML Patients Detected with A Novel Single-Cell DNA Sequencing Platform
Liwen Xu1, Robert Durruthy-Durruthy2, Dennis J Eastburn2
1Department of Pathology, Stanford University, Stanford, CA, 94305, USA.
Scientific Reports
|August 2, 2019
Summary
Single-cell DNA sequencing resolves cancer cell evolution in acute myeloid leukemia. This method precisely tracks engraftment and identifies oncogenic clones after bone marrow transplantation (BMT).
Area of Science:
- Genomics
- Cancer Biology
- Hematology
Background:
- Next-generation sequencing (NGS) in cancer typically uses bulk analysis, averaging variant allele frequencies and missing rare cells or mutational co-occurrences.
- Single-cell genome analysis offers a higher resolution to understand clonal architecture and disease progression.
Purpose of the Study:
- To develop and apply a novel single-cell DNA sequencing approach for analyzing acute myeloid leukemia (AML) patient samples.
- To resolve clonal architecture, monitor engraftment post-bone marrow transplantation (BMT), and track clonal evolution in AML.
Main Methods:
- Longitudinal sampling of peripheral blood mononuclear cells from AML patients.
- Generation of single-cell DNA sequencing libraries using a droplet-based microfluidics technique.
- Molecular profiling of single nucleotide variants (SNVs) and hierarchical clustering analysis.
Main Results:
- The approach successfully profiled thousands of single cells, revealing genetic chimerism post-BMT.
- Hierarchical clustering identified distinct oncogenic clones with mutations in tumor-suppressor genes and/or oncogenes.
- Precise monitoring of engraftment and detection of clonal evolution during disease progression and treatment were achieved.
Conclusions:
- Single-cell DNA sequencing provides a powerful tool for detailed analysis of cancer genomes.
- This method enables precise monitoring of engraftment and reveals the clonal dynamics of oncogenic cells in AML.
- The findings highlight the potential for single-cell sequencing in understanding disease progression and treatment response.
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