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      Single-cell paired-end genome sequencing reveals structural variation per cell cycle

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          Abstract

          The nature and pace of genome mutation is largely unknown. Because standard methods sequence DNA from populations of cells, the genetic composition of individual cells is lost, de novo mutations in cells are concealed within the bulk signal and per cell cycle mutation rates and mechanisms remain elusive. Although single-cell genome analyses could resolve these problems, such analyses are error-prone because of whole-genome amplification (WGA) artefacts and are limited in the types of DNA mutation that can be discerned. We developed methods for paired-end sequence analysis of single-cell WGA products that enable (i) detecting multiple classes of DNA mutation, (ii) distinguishing DNA copy number changes from allelic WGA-amplification artefacts by the discovery of matching aberrantly mapping read pairs among the surfeit of paired-end WGA and mapping artefacts and (iii) delineating the break points and architecture of structural variants. By applying the methods, we capture DNA copy number changes acquired over one cell cycle in breast cancer cells and in blastomeres derived from a human zygote after in vitro fertilization. Furthermore, we were able to discover and fine-map a heritable inter-chromosomal rearrangement t(1;16)(p36;p12) by sequencing a single blastomere. The methods will expedite applications in basic genome research and provide a stepping stone to novel approaches for clinical genetic diagnosis.

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          Most cited references34

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          Genome sequencing of pediatric medulloblastoma links catastrophic DNA rearrangements with TP53 mutations.

          Genomic rearrangements are thought to occur progressively during tumor development. Recent findings, however, suggest an alternative mechanism, involving massive chromosome rearrangements in a one-step catastrophic event termed chromothripsis. We report the whole-genome sequencing-based analysis of a Sonic-Hedgehog medulloblastoma (SHH-MB) brain tumor from a patient with a germline TP53 mutation (Li-Fraumeni syndrome), uncovering massive, complex chromosome rearrangements. Integrating TP53 status with microarray and deep sequencing-based DNA rearrangement data in additional patients reveals a striking association between TP53 mutation and chromothripsis in SHH-MBs. Analysis of additional tumor entities substantiates a link between TP53 mutation and chromothripsis, and indicates a context-specific role for p53 in catastrophic DNA rearrangements. Among these, we observed a strong association between somatic TP53 mutations and chromothripsis in acute myeloid leukemia. These findings connect p53 status and chromothripsis in specific tumor types, providing a genetic basis for understanding particularly aggressive subtypes of cancer. Copyright © 2012 Elsevier Inc. All rights reserved.
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            COMPLEX LANDSCAPES OF SOMATIC REARRANGEMENT IN HUMAN BREAST CANCER GENOMES

            SUMMARY Multiple somatic rearrangements are often found in cancer genomes. However, the underlying processes of rearrangement and their contribution to cancer development are poorly characterised. Here, we employed a paired-end sequencing strategy to identify somatic rearrangements in breast cancer genomes. There are more rearrangements in some breast cancers than previously appreciated. Rearrangements are more frequent over gene footprints and most are intrachromosomal. Multiple architectures of rearrangement are present, but tandem duplications are common in some cancers, perhaps reflecting a specific defect in DNA maintenance. Short overlapping sequences at most rearrangement junctions suggest that these have been mediated by non-homologous end-joining DNA repair, although varying sequence patterns indicate that multiple processes of this type are operative. Several expressed in-frame fusion genes were identified but none were recurrent. The study provides a new perspective on cancer genomes, highlighting the diversity of somatic rearrangements and their potential contribution to cancer development.
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              A large genome center's improvements to the Illumina sequencing system.

              The Wellcome Trust Sanger Institute is one of the world's largest genome centers, and a substantial amount of our sequencing is performed with 'next-generation' massively parallel sequencing technologies: in June 2008 the quantity of purity-filtered sequence data generated by our Genome Analyzer (Illumina) platforms reached 1 terabase, and our average weekly Illumina production output is currently 64 gigabases. Here we describe a set of improvements we have made to the standard Illumina protocols to make the library preparation more reliable in a high-throughput environment, to reduce bias, tighten insert size distribution and reliably obtain high yields of data.
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                Author and article information

                Journal
                Nucleic Acids Res
                Nucleic Acids Res
                nar
                nar
                Nucleic Acids Research
                Oxford University Press
                0305-1048
                1362-4962
                July 2013
                27 April 2013
                27 April 2013
                : 41
                : 12
                : 6119-6138
                Affiliations
                1Department of Human Genetics, KU Leuven, Leuven, 3000, Belgium, 2Cancer Genome Project, Wellcome Trust Sanger Institute, Hinxton CB10 1SA, UK, 3Department of Human Genetics, VIB and KU Leuven, Leuven, 3000, Belgium, 4Sequencing R&D, Wellcome Trust Sanger Institute, Hinxton CB10 1SA, UK, 5Leuven University Fertility Center, University Hospitals Leuven, Gasthuisberg, Leuven, 3000, Belgium, 6Department of Electrical Engineering, KU Leuven, Leuven, 3000, Belgium, 7Department of Genomic Medicine, The University of Texas MD Anderson Cancer Center, Houston, Texas, TX 77230-1429, USA, 8Department of Haematology, Addenbrooke's Hospital, Cambridge CB2 0QQ, UK and 9Department of Haematology, University of Cambridge, Cambridge CB2 2XY, UK
                Author notes
                *To whom correspondence should be addressed. Tel: +32 16 33 08 41; Fax: +32 16 34 60 98; Email: Thierry.Voet@ 123456med.kuleuven.be
                Correspondence may also be addressed to Joris R. Vermeesch. Tel: +32 16 34 59 41; Fax: +32 16 34 60 51; Email: Joris.Vermeesch@ 123456med.kuleuven.be
                Correspondence may also be addressed to Peter J. Campbell. Tel: +44 1223 49 47 45; Fax: +44 1223 49 49 19; Email: pc8@ 123456sanger.ac.uk
                Article
                gkt345
                10.1093/nar/gkt345
                3695511
                23630320
                8078a41d-d34a-4090-ad51-8764aee809e5
                © The Author(s) 2013. Published by Oxford University Press.

                This is an Open Access article distributed under the terms of the Creative Commons Attribution License ( http://creativecommons.org/licenses/by/3.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited.

                History
                : 20 February 2013
                : 9 April 2013
                : 10 April 2013
                Page count
                Pages: 20
                Categories
                Genomics
                Custom metadata
                8 July 2013

                Genetics
                Genetics

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