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Single-molecule optical genome mapping of a human HapMap and a colorectal cancer cell line

BACKGROUND: Next-generation sequencing (NGS) technologies have changed our understanding of the variability of the human genome. However, the identification of genome structural variations based on NGS approaches with read lengths of 35–300 bases remains a challenge. Single-molecule optical mapping...

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Autores principales: Teo, Audrey S. M., Verzotto, Davide, Yao, Fei, Nagarajan, Niranjan, Hillmer, Axel M.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2015
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4696294/
https://www.ncbi.nlm.nih.gov/pubmed/26719794
http://dx.doi.org/10.1186/s13742-015-0106-1
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author Teo, Audrey S. M.
Verzotto, Davide
Yao, Fei
Nagarajan, Niranjan
Hillmer, Axel M.
author_facet Teo, Audrey S. M.
Verzotto, Davide
Yao, Fei
Nagarajan, Niranjan
Hillmer, Axel M.
author_sort Teo, Audrey S. M.
collection PubMed
description BACKGROUND: Next-generation sequencing (NGS) technologies have changed our understanding of the variability of the human genome. However, the identification of genome structural variations based on NGS approaches with read lengths of 35–300 bases remains a challenge. Single-molecule optical mapping technologies allow the analysis of DNA molecules of up to 2 Mb and as such are suitable for the identification of large-scale genome structural variations, and for de novo genome assemblies when combined with short-read NGS data. Here we present optical mapping data for two human genomes: the HapMap cell line GM12878 and the colorectal cancer cell line HCT116. FINDINGS: High molecular weight DNA was obtained by embedding GM12878 and HCT116 cells, respectively, in agarose plugs, followed by DNA extraction under mild conditions. Genomic DNA was digested with KpnI and 310,000 and 296,000 DNA molecules (≥150 kb and 10 restriction fragments), respectively, were analyzed per cell line using the Argus optical mapping system. Maps were aligned to the human reference by OPTIMA, a new glocal alignment method. Genome coverage of 6.8× and 5.7× was obtained, respectively; 2.9× and 1.7× more than the coverage obtained with previously available software. CONCLUSIONS: Optical mapping allows the resolution of large-scale structural variations of the genome, and the scaffold extension of NGS-based de novo assemblies. OPTIMA is an efficient new alignment method; our optical mapping data provide a resource for genome structure analyses of the human HapMap reference cell line GM12878, and the colorectal cancer cell line HCT116.
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spelling pubmed-46962942015-12-31 Single-molecule optical genome mapping of a human HapMap and a colorectal cancer cell line Teo, Audrey S. M. Verzotto, Davide Yao, Fei Nagarajan, Niranjan Hillmer, Axel M. Gigascience Data Note BACKGROUND: Next-generation sequencing (NGS) technologies have changed our understanding of the variability of the human genome. However, the identification of genome structural variations based on NGS approaches with read lengths of 35–300 bases remains a challenge. Single-molecule optical mapping technologies allow the analysis of DNA molecules of up to 2 Mb and as such are suitable for the identification of large-scale genome structural variations, and for de novo genome assemblies when combined with short-read NGS data. Here we present optical mapping data for two human genomes: the HapMap cell line GM12878 and the colorectal cancer cell line HCT116. FINDINGS: High molecular weight DNA was obtained by embedding GM12878 and HCT116 cells, respectively, in agarose plugs, followed by DNA extraction under mild conditions. Genomic DNA was digested with KpnI and 310,000 and 296,000 DNA molecules (≥150 kb and 10 restriction fragments), respectively, were analyzed per cell line using the Argus optical mapping system. Maps were aligned to the human reference by OPTIMA, a new glocal alignment method. Genome coverage of 6.8× and 5.7× was obtained, respectively; 2.9× and 1.7× more than the coverage obtained with previously available software. CONCLUSIONS: Optical mapping allows the resolution of large-scale structural variations of the genome, and the scaffold extension of NGS-based de novo assemblies. OPTIMA is an efficient new alignment method; our optical mapping data provide a resource for genome structure analyses of the human HapMap reference cell line GM12878, and the colorectal cancer cell line HCT116. BioMed Central 2015-12-29 /pmc/articles/PMC4696294/ /pubmed/26719794 http://dx.doi.org/10.1186/s13742-015-0106-1 Text en © Teo et al. 2016 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided 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 Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
spellingShingle Data Note
Teo, Audrey S. M.
Verzotto, Davide
Yao, Fei
Nagarajan, Niranjan
Hillmer, Axel M.
Single-molecule optical genome mapping of a human HapMap and a colorectal cancer cell line
title Single-molecule optical genome mapping of a human HapMap and a colorectal cancer cell line
title_full Single-molecule optical genome mapping of a human HapMap and a colorectal cancer cell line
title_fullStr Single-molecule optical genome mapping of a human HapMap and a colorectal cancer cell line
title_full_unstemmed Single-molecule optical genome mapping of a human HapMap and a colorectal cancer cell line
title_short Single-molecule optical genome mapping of a human HapMap and a colorectal cancer cell line
title_sort single-molecule optical genome mapping of a human hapmap and a colorectal cancer cell line
topic Data Note
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4696294/
https://www.ncbi.nlm.nih.gov/pubmed/26719794
http://dx.doi.org/10.1186/s13742-015-0106-1
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