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Deep whole-genome sequencing of 3 cancer cell lines on 2 sequencing platforms

To test the performance of a new sequencing platform, develop an updated somatic calling pipeline and establish a reference for future benchmarking experiments, we performed whole-genome sequencing of 3 common cancer cell lines (COLO-829, HCC-1143 and HCC-1187) along with their matched normal cell l...

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Autores principales: Arora, Kanika, Shah, Minita, Johnson, Molly, Sanghvi, Rashesh, Shelton, Jennifer, Nagulapalli, Kshithija, Oschwald, Dayna M., Zody, Michael C., Germer, Soren, Jobanputra, Vaidehi, Carter, Jade, Robine, Nicolas
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6911065/
https://www.ncbi.nlm.nih.gov/pubmed/31836783
http://dx.doi.org/10.1038/s41598-019-55636-3
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author Arora, Kanika
Shah, Minita
Johnson, Molly
Sanghvi, Rashesh
Shelton, Jennifer
Nagulapalli, Kshithija
Oschwald, Dayna M.
Zody, Michael C.
Germer, Soren
Jobanputra, Vaidehi
Carter, Jade
Robine, Nicolas
author_facet Arora, Kanika
Shah, Minita
Johnson, Molly
Sanghvi, Rashesh
Shelton, Jennifer
Nagulapalli, Kshithija
Oschwald, Dayna M.
Zody, Michael C.
Germer, Soren
Jobanputra, Vaidehi
Carter, Jade
Robine, Nicolas
author_sort Arora, Kanika
collection PubMed
description To test the performance of a new sequencing platform, develop an updated somatic calling pipeline and establish a reference for future benchmarking experiments, we performed whole-genome sequencing of 3 common cancer cell lines (COLO-829, HCC-1143 and HCC-1187) along with their matched normal cell lines to great sequencing depths (up to 278x coverage) on both Illumina HiSeqX and NovaSeq sequencing instruments. Somatic calling was generally consistent between the two platforms despite minor differences at the read level. We designed and implemented a novel pipeline for the analysis of tumor-normal samples, using multiple variant callers. We show that coupled with a high-confidence filtering strategy, the use of combination of tools improves the accuracy of somatic variant calling. We also demonstrate the utility of the dataset by creating an artificial purity ladder to evaluate the somatic pipeline and benchmark methods for estimating purity and ploidy from tumor-normal pairs. The data and results of the pipeline are made accessible to the cancer genomics community.
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spelling pubmed-69110652019-12-16 Deep whole-genome sequencing of 3 cancer cell lines on 2 sequencing platforms Arora, Kanika Shah, Minita Johnson, Molly Sanghvi, Rashesh Shelton, Jennifer Nagulapalli, Kshithija Oschwald, Dayna M. Zody, Michael C. Germer, Soren Jobanputra, Vaidehi Carter, Jade Robine, Nicolas Sci Rep Article To test the performance of a new sequencing platform, develop an updated somatic calling pipeline and establish a reference for future benchmarking experiments, we performed whole-genome sequencing of 3 common cancer cell lines (COLO-829, HCC-1143 and HCC-1187) along with their matched normal cell lines to great sequencing depths (up to 278x coverage) on both Illumina HiSeqX and NovaSeq sequencing instruments. Somatic calling was generally consistent between the two platforms despite minor differences at the read level. We designed and implemented a novel pipeline for the analysis of tumor-normal samples, using multiple variant callers. We show that coupled with a high-confidence filtering strategy, the use of combination of tools improves the accuracy of somatic variant calling. We also demonstrate the utility of the dataset by creating an artificial purity ladder to evaluate the somatic pipeline and benchmark methods for estimating purity and ploidy from tumor-normal pairs. The data and results of the pipeline are made accessible to the cancer genomics community. Nature Publishing Group UK 2019-12-13 /pmc/articles/PMC6911065/ /pubmed/31836783 http://dx.doi.org/10.1038/s41598-019-55636-3 Text en © The Author(s) 2019 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/.
spellingShingle Article
Arora, Kanika
Shah, Minita
Johnson, Molly
Sanghvi, Rashesh
Shelton, Jennifer
Nagulapalli, Kshithija
Oschwald, Dayna M.
Zody, Michael C.
Germer, Soren
Jobanputra, Vaidehi
Carter, Jade
Robine, Nicolas
Deep whole-genome sequencing of 3 cancer cell lines on 2 sequencing platforms
title Deep whole-genome sequencing of 3 cancer cell lines on 2 sequencing platforms
title_full Deep whole-genome sequencing of 3 cancer cell lines on 2 sequencing platforms
title_fullStr Deep whole-genome sequencing of 3 cancer cell lines on 2 sequencing platforms
title_full_unstemmed Deep whole-genome sequencing of 3 cancer cell lines on 2 sequencing platforms
title_short Deep whole-genome sequencing of 3 cancer cell lines on 2 sequencing platforms
title_sort deep whole-genome sequencing of 3 cancer cell lines on 2 sequencing platforms
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6911065/
https://www.ncbi.nlm.nih.gov/pubmed/31836783
http://dx.doi.org/10.1038/s41598-019-55636-3
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