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Reconstructing mutational lineages in breast cancer by multi-patient-targeted single cell DNA sequencing

Jake Leighton, Min Hu, Emi Sei, Funda Meric-Bernstam, View ORCID ProfileNicholas E. Navin
doi: https://doi.org/10.1101/2021.11.16.468877
Jake Leighton
1Department of Genetics, UT MD Anderson Cancer Center, Houston, TX 77030, USA
2Graduate School of Biological Sciences, UT MD Anderson Cancer Center, Houston, TX 77030, USA
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Min Hu
1Department of Genetics, UT MD Anderson Cancer Center, Houston, TX 77030, USA
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Emi Sei
1Department of Genetics, UT MD Anderson Cancer Center, Houston, TX 77030, USA
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Funda Meric-Bernstam
2Graduate School of Biological Sciences, UT MD Anderson Cancer Center, Houston, TX 77030, USA
3Department of Precision Oncology, UT MD Anderson Cancer Center, Houston, TX 77030, USA
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Nicholas E. Navin
1Department of Genetics, UT MD Anderson Cancer Center, Houston, TX 77030, USA
2Graduate School of Biological Sciences, UT MD Anderson Cancer Center, Houston, TX 77030, USA
3Department of Precision Oncology, UT MD Anderson Cancer Center, Houston, TX 77030, USA
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  • ORCID record for Nicholas E. Navin
  • For correspondence: nnavin@mdanderson.org
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Abstract

Single cell DNA sequencing (scDNA-seq) methods are powerful tools for profiling mutations in cancer cells, however most genomic regions characterized in single cells are non-informative. To overcome this issue, we developed a Multi-Patient-Targeted (MPT) scDNA-seq sequencing method. MPT involves first performing bulk exome sequencing across a cohort of cancer patients to identify somatic mutations, which are then pooled together to develop a single custom targeted panel for high-throughput scDNA-seq using a microfluidics platform. We applied MPT to profile 330 mutations across 23,500 cells from 5 TNBC patients, which showed that 3 tumors were monoclonal and 2 tumors were polyclonal. From this data, we reconstructed mutational lineages and identified early mutational and copy number events, including early TP53 mutations that occurred in all five patients. Collectively, our data suggests that MPT can overcome technical obstacles for studying tumor evolution using scDNA-seq by profiling information-rich mutation sites.

Competing Interest Statement

Nicholas Navin is on the Scientific Advisory Board (SAB) for Mission Bio

Copyright 
The copyright holder for this preprint is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. All rights reserved. No reuse allowed without permission.
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Posted November 19, 2021.
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Reconstructing mutational lineages in breast cancer by multi-patient-targeted single cell DNA sequencing
Jake Leighton, Min Hu, Emi Sei, Funda Meric-Bernstam, Nicholas E. Navin
bioRxiv 2021.11.16.468877; doi: https://doi.org/10.1101/2021.11.16.468877
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Reconstructing mutational lineages in breast cancer by multi-patient-targeted single cell DNA sequencing
Jake Leighton, Min Hu, Emi Sei, Funda Meric-Bernstam, Nicholas E. Navin
bioRxiv 2021.11.16.468877; doi: https://doi.org/10.1101/2021.11.16.468877

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