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Towards routine chromosome-scale haplotype-resolved reconstruction in cancer genomics
Cancer genomes are highly complex and heterogeneous. The standard short-read sequencing and analytical methods are unable to provide the complete and precise base-level structural variant landscape of cancer genomes. In this work, we apply high-resolution long accurate HiFi and long-range Hi-C seque...
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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Nature Publishing Group UK
2023
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10011606/ https://www.ncbi.nlm.nih.gov/pubmed/36914638 http://dx.doi.org/10.1038/s41467-023-36689-5 |
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author | Garg, Shilpa |
author_facet | Garg, Shilpa |
author_sort | Garg, Shilpa |
collection | PubMed |
description | Cancer genomes are highly complex and heterogeneous. The standard short-read sequencing and analytical methods are unable to provide the complete and precise base-level structural variant landscape of cancer genomes. In this work, we apply high-resolution long accurate HiFi and long-range Hi-C sequencing to the melanoma COLO829 cancer line. Also, we develop an efficient graph-based approach that processes these data types for chromosome-scale haplotype-resolved reconstruction to characterise the cancer precise structural variant landscape. Our method produces high-quality phased scaffolds on the chromosome level on three healthy samples and the COLO829 cancer line in less than half a day even in the absence of trio information, outperforming existing state-of-the-art methods. In the COLO829 cancer cell line, here we show that our method identifies and characterises precise somatic structural variant calls in important repeat elements that were missed in short-read-based call sets. Our method also finds the precise chromosome-level structural variant (germline and somatic) landscape with 19,956 insertions, 14,846 deletions, 421 duplications, 52 inversions and 498 translocations at the base resolution. Our simple pstools approach should facilitate better personalised diagnosis and disease management, including predicting therapeutic responses. |
format | Online Article Text |
id | pubmed-10011606 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-100116062023-03-15 Towards routine chromosome-scale haplotype-resolved reconstruction in cancer genomics Garg, Shilpa Nat Commun Article Cancer genomes are highly complex and heterogeneous. The standard short-read sequencing and analytical methods are unable to provide the complete and precise base-level structural variant landscape of cancer genomes. In this work, we apply high-resolution long accurate HiFi and long-range Hi-C sequencing to the melanoma COLO829 cancer line. Also, we develop an efficient graph-based approach that processes these data types for chromosome-scale haplotype-resolved reconstruction to characterise the cancer precise structural variant landscape. Our method produces high-quality phased scaffolds on the chromosome level on three healthy samples and the COLO829 cancer line in less than half a day even in the absence of trio information, outperforming existing state-of-the-art methods. In the COLO829 cancer cell line, here we show that our method identifies and characterises precise somatic structural variant calls in important repeat elements that were missed in short-read-based call sets. Our method also finds the precise chromosome-level structural variant (germline and somatic) landscape with 19,956 insertions, 14,846 deletions, 421 duplications, 52 inversions and 498 translocations at the base resolution. Our simple pstools approach should facilitate better personalised diagnosis and disease management, including predicting therapeutic responses. Nature Publishing Group UK 2023-03-13 /pmc/articles/PMC10011606/ /pubmed/36914638 http://dx.doi.org/10.1038/s41467-023-36689-5 Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/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/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Article Garg, Shilpa Towards routine chromosome-scale haplotype-resolved reconstruction in cancer genomics |
title | Towards routine chromosome-scale haplotype-resolved reconstruction in cancer genomics |
title_full | Towards routine chromosome-scale haplotype-resolved reconstruction in cancer genomics |
title_fullStr | Towards routine chromosome-scale haplotype-resolved reconstruction in cancer genomics |
title_full_unstemmed | Towards routine chromosome-scale haplotype-resolved reconstruction in cancer genomics |
title_short | Towards routine chromosome-scale haplotype-resolved reconstruction in cancer genomics |
title_sort | towards routine chromosome-scale haplotype-resolved reconstruction in cancer genomics |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10011606/ https://www.ncbi.nlm.nih.gov/pubmed/36914638 http://dx.doi.org/10.1038/s41467-023-36689-5 |
work_keys_str_mv | AT gargshilpa towardsroutinechromosomescalehaplotyperesolvedreconstructionincancergenomics |