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Comprehensive Long Span Paired-End-Tag Mapping Reveals Characteristic Patterns of Structural Variations in Epithelial Cancer Genomes

ABSTRACT: Somatic genome rearrangements are thought to play important roles in cancer development. We optimized a long span paired-end-tag (PET) sequencing approach using 10 Kb genomic DNA inserts to study human genome structural variations (SVs). The use of 10 Kb insert size allows the identification of breakpoints within repetitive or homology containing regions of a few Kb in size and results in a higher physical coverage compared to small insert libraries with the same sequencing effort. We have applied this approach to comprehensively characterize the SVs of 15 cancer and 2 non-cancer genomes and used a filtering approach to strongly enrich for somatic SVs in the cancer genomes. Our analyses revealed that most inversions, deletions, and insertions are germline SVs, whereas tandem duplications, unpaired inversions, inter-chromosomal translocations, and complex rearrangements are overrepresented among somatic rearrangements in cancer genomes. We demonstrate that the quantitative and connective nature of DNA-PET data is precise in delineating the genealogy of complex rearrangement events, we observe signatures which are compatible with breakage-fusion-bridge cycles, and discover that large duplications are among the initial rearrangements that trigger genome instability for extensive amplification in epithelial cancers.

ORGANISM(S): Homo sapiens

PROVIDER: GSE26954 | GEO | 2011/04/06

SECONDARY ACCESSION(S): PRJNA136963

REPOSITORIES: GEO

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Comprehensive Long Span Paired-End-Tag Mapping Reveals Characteristic Patterns of Structural Variations in Epithelial Cancer Genomes

Project description:Somatic genome rearrangements are thought to play important roles in cancer development. We optimized a long span paired-end-tag (PET) sequencing approach using 10 Kb genomic DNA inserts to study human genome structural variations (SVs). The use of 10 Kb insert size allows the identification of breakpoints within repetitive or homology containing regions of a few Kb in size and results in a higher physical coverage compared to small insert libraries with the same sequencing effort. We have applied this approach to comprehensively characterize the SVs of 15 cancer and 2 non-cancer genomes and used a filtering approach to strongly enrich for somatic SVs in the cancer genomes. Our analyses revealed that most inversions, deletions, and insertions are germline SVs, whereas tandem duplications, unpaired inversions, inter-chromosomal translocations, and complex rearrangements are overrepresented among somatic rearrangements in cancer genomes. We demonstrate that the quantitative and connective nature of DNA-PET data is precise in delineating the genealogy of complex rearrangement events, we observe signatures which are compatible with breakage-fusion-bridge cycles, and discover that large duplications are among the initial rearrangements that trigger genome instability for extensive amplification in epithelial cancers. Structural variations of 15 human cancer samples and 2 human normal samples were identified by long span paired-end sequencing

2011-04-06 | E-GEOD-26954 | biostudies-arrayexpress

Long Span DNA Paired-End-Tag (DNA-PET) Sequencing Strategy for the Interrogation of Genomic Structural Mutations

Project description:Structural variations (SVs) contribute significantly to the variability of the human genome and extensive genomic rearrangements are a hallmark of cancer. Genomic DNA paired-end-tag (DNA-PET) sequencing is an attractive approach to identify genomic SVs. The current application of PET sequencing with short insert size DNA is insufficient for the comprehensive mapping of SVs in low complexity and repeat-rich genomic regions. We have developed a robust procedure to generate PET sequencing data using large DNA inserts of 10 - 20 kb for the identification of SVs. We compared the characteristics of the large insert libraries with short insert (1 kb) libraries with the same sequencing depths and costs. Although short insert libraries bear an advantage in identifying small deletions, they do not provide a significantly better breakpoint resolution. Large inserts are superior to short inserts in providing higher physical genome coverage and therefore achieve greater sensitivity for the identification of the different types of SVs, including copy number neutral and complex events. Further, large inserts allow the identification of SVs within repetitive sequences which cannot be spanned by short inserts. Structural variations of three cancer cell lines using short (1 kb) and long (10 kb and 20 kb) insert size DNA fragments

2012-10-04 | E-GEOD-32674 | biostudies-arrayexpress

Long Span DNA Paired-End-Tag (DNA-PET) Sequencing Strategy for the Interrogation of Genomic Structural Mutations

2012-10-04 | GSE32674 | GEO

Array-CGH and Next-generation sequencing of duplication CNVs reveals that most are tandem and some disrupt genes at breakpoints

Project description:Interpreting the genomic and phenotypic consequences of copy number variation (CNV) is essential to understand the etiology of genetic disorders. Whereas deletion CNVs obviously lead to haploinsufficiency, duplications may cause disease through triplosensitivity, gene disruption, or gene fusion at breakpoints. The mutational spectrum of duplications has been studied at certain loci and in some cases these copy number gains are complex chromosome rearrangements involving triplications and/or inversions. However, the organization of clinically relevant duplications throughout the genome has not been investigated on a large scale. Here, we fine mapped 184 germline duplications (14.7 kb-25.3 Mb; median 532 kb) ascertained from individuals referred for diagnostic cytogenetics testing. We performed next-generation sequencing (NGS) and whole-genome sequencing (WGS) to sequence 130 breakpoints from 112 subjects with 119 CNVs and found that most (83%) were tandem duplications in direct orientation. The remainder were triplications embedded within duplications (8.4%), adjacent duplications (4.2%), insertional translocations (2.5%), or other complex rearrangements (1.7%). In addition, we predicted six in-frame fusion genes at sequenced duplication breakpoints. Four gene fusions were formed by tandem duplications, one by two interconnected duplications, and one by duplication inserted at another locus. These novel fusion genes could be related to clinical phenotypes and warrant further study. Though most duplications are positioned head-to-tail adjacent to the original locus, those that are inverted, triplicated, or inserted can disrupt or fuse genes in a manner that may not be predicted by conventional copy number analysis. Thus, interpreting the genetic consequences of duplication CNVs requires breakpoint-level analysis.

2014-10-25 | GSE62657 | GEO

Genome sequencing coupled with iPSC technology identifies GTDC1 as a novel candidate gene involved in Neurodevelopmental Disorders

Project description:We identified genomic structural alterations of six patients with signs of neurodevelopmental disorder (NDDs) that harbour chromosomal rearrangements using large-insert paired-end tag sequencing (DNA-PET). This technique allowed the refinement of chromosomal breakpoints and lead to the identification of seven disrupted genes (GNAQ, RBFOX3, UNC5D, TMEM47, NCAPG2, GTDC1 and XIAP). For one patient we filtered the entire panel of structural variations (SVs) with his parents and identified a unique SV that disrupted a single gene: GTDC1. We then validated the functional consequences of the chromosomal breakpoint disruption of GTDC1 by using patient-derived iPSCs. By differentiating these cells into neural progenitor cells (NPCs) and neurons, we interrogated the disease process at the cellular level and observed defects in the proliferation and glycosylation status of NPCs and also defects in neuronal maturation and function. We compared these results with GTDC1-deficient wild-type human NPCs and neurons, and observed similar phenotypic features as in the patient-derived cells which confirm that GTDC1 is involved in the patient’s phenotype. We show here that the combination of genomic screening with iPSCs technology provides a mechanistic insight into possible contributory effects of candidate genes implicated in NDDs and for personalized medicine. Structural variations were identified by long insert DNA paired-end tag (DNA-PET) sequencing, a mate-pair sequencing approach.

2014-09-03 | E-GEOD-51430 | biostudies-arrayexpress

Multiplex generation and single cell analysis of structural variants in mammalian genomes [scRNA-seq]

Project description:Studying the functional consequences of structural variants (SVs) in mammalian genomes is challenging because: 1) SVs arise much less commonly than single nucleotide variants or small indels; and 2) methods to generate, map and characterize SVs in model systems are underdeveloped. To address these challenges, we developed Genome-Shuffle-seq, a method that enables the multiplex generation and mapping of thousands of SVs (deletions, inversions, translocations, extrachromosomal circles) throughout mammalian genomes. We also demonstrate the co-capture of SV identity with single-cell transcriptomes, facilitating the measurement of SVs’ impact on gene expression. We anticipate Genome-Shuffle-seq will be broadly useful for the systematic exploration of the functional consequences of SVs on gene expression, chromatin landscape, and 3D nuclear architecture, while also initiating a path towards a minimal mammalian genome.

2024-12-01 | GSE282634 | GEO

Multiplex generation and single cell analysis of structural variants in mammalian genomes [IVT-seq]

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2024-12-01 | GSE282632 | GEO

Chromosome as oncogenic organizer: functional consequences of structural mutations in breast cancer (RNA-Seq)

Project description:Chromosomal structural mutations play an important role in determining the transcriptional landscape of human breast cancers. To assess the nature of these structural mutations, we analyzed a representative sampling of the major types of breast tumor samples for detailed structural mutations using paired-end tag sequencing of long-insert genomic DNA (DNA-PET) with matched transcriptome ascertainment by RNA-seq. Compared with other structural mutations, tandem duplications are enriched around partners of fusion transcripts and demarcate regions of high gene expression. Moreover tandem duplications appear to be early events in tumor evolution by facilitating subsequent downstream amplification and deletion of important adjacent cancer associated genes. In a detailed reconstruction of events in chr17, we found large unpaired-inversions connect a duplicated ERBB2 with neighboring 17q21.3 amplicons while simultaneously deleting the intervening BRCA1 tumor suppressor locus. Using siRNAs in breast cancer cell lines, we showed that the 17q21.3 amplicon harbored a significant number of weak oncogenes that appeared consistently co-amplified in primary tumors. Down-regulation of BRCA1 expression augmented the cell proliferation in human normal mammary epithelial cells. Finally, using in silico approaches, we determined that genes whose expression in breast tumors are associated with either poor or good clinical prognosis appear clustered together in segments of frequent amplification or deletion, suggesting that structural abnormalities induce the loss or gain of blocks of adjacent genes with oncogenic or growth suppressor function. These analyses suggest that structural mutations efficiently orchestrate the gain and loss of cancer gene cassettes that engage many oncogenic pathways simultaneously. RNA sequencing of four primary breast cancer RNA samples (SOLiD, Applied Biosystems).

2014-07-01 | E-GEOD-57914 | biostudies-arrayexpress

Structural variation of the gorilla genome

Project description:Structural variation has played an important role in the evolutionary restructuring of human and great ape genomes. We generated approximately 10-fold genomic sequence coverage from a western lowland gorilla and integrated these data into a physical and cytogenetic framework to develop a comprehensive view of structural variation. We discovered and validated over 7,665 structural changes within the gorilla lineage including sequence resolution of inversions, deletions, duplications and retrotranspositions. A comparison with human and other ape genomes shows that the gorilla genome has been subjected to the highest rate of segmental duplication. We show that both the gorilla and chimpanzee genomes have experienced independent yet parallel patterns of structural mutation that have not occurred in humans, including the formation of subtelomeric heterochromatic caps, the hyperexpansion of segmental duplications and bursts of retroviral integrations. Our analysis suggests that the chimpanzee and gorilla genomes are structurally more derived than either orangutan or human. all combinations of human, chimpanzee and gorilla are used in 2 different arrayCGH designs. First, a standard 2.1 was used to detected CNVs, and second, we used a custom designed arrayCGH to validate gorilla specific duplications and deletions

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