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A wealth of novel cell-specific expressed SNVs from tumor and normal scRNA-seq datasets

View ORCID ProfileChristian Dillard, View ORCID ProfileEvgenia Ulianova, NM Prashant, Hongyu Liu, View ORCID ProfileNathan Edwards, View ORCID ProfileAnelia Horvath
doi: https://doi.org/10.1101/2022.06.12.495797
Christian Dillard
1McCormick Genomics and Proteomics Center, School of Medicine and Health Sciences, The George Washington University, Washington, DC, 20037, USA
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  • ORCID record for Christian Dillard
Evgenia Ulianova
1McCormick Genomics and Proteomics Center, School of Medicine and Health Sciences, The George Washington University, Washington, DC, 20037, USA
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NM Prashant
1McCormick Genomics and Proteomics Center, School of Medicine and Health Sciences, The George Washington University, Washington, DC, 20037, USA
2Departments of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
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Hongyu Liu
1McCormick Genomics and Proteomics Center, School of Medicine and Health Sciences, The George Washington University, Washington, DC, 20037, USA
3Division of Animal Sciences, University of Missouri, Columbia, MO, 65211, USA
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Nathan Edwards
4Department of Biochemistry and Molecular Medicine, School of Medicine and Health Sciences, The George Washington University, Washington, DC, 20037, USA
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Anelia Horvath
1McCormick Genomics and Proteomics Center, School of Medicine and Health Sciences, The George Washington University, Washington, DC, 20037, USA
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  • For correspondence: horvatha@gwu.edu
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Abstract

We demonstrate a novel variant calling strategy using barcode-stratified alignments on 25 tumor and normal 10XGenomics scRNA-seq datasets (>200,000 cells). Our approach identified 24,528 exonic non-dbSNP single cell expressed (sce)SNVs, a third of which are shared across multiple samples. The novel sceSNVs include unreported somatic and germline variants, as well as RNA-originating variants; some are expressed in up to 17% of the cells, and many are found in known cancer genes. Our findings suggest that there is an unacknowledged repertoire of expressed genetic variants, possibly recurrent and common across samples, in the normal and cancer transcriptome.

Competing Interest Statement

The authors have declared no competing interest.

Copyright 
The copyright holder for this preprint is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is made available under a CC-BY 4.0 International license.
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Posted June 15, 2022.
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A wealth of novel cell-specific expressed SNVs from tumor and normal scRNA-seq datasets
Christian Dillard, Evgenia Ulianova, NM Prashant, Hongyu Liu, Nathan Edwards, Anelia Horvath
bioRxiv 2022.06.12.495797; doi: https://doi.org/10.1101/2022.06.12.495797
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A wealth of novel cell-specific expressed SNVs from tumor and normal scRNA-seq datasets
Christian Dillard, Evgenia Ulianova, NM Prashant, Hongyu Liu, Nathan Edwards, Anelia Horvath
bioRxiv 2022.06.12.495797; doi: https://doi.org/10.1101/2022.06.12.495797

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