Single-cell copy number varation detection: blastomeres
Ontology highlight
ABSTRACT:
ORGANISM(S): Homo sapiens
PROVIDER: GSE31219 | GEO | 2011/08/10
SECONDARY ACCESSION(S): PRJNA145963
REPOSITORIES: GEO
Similar Datasets
Project description:Detection of genomic rearrangements from a single cell instead of a population of cells is an emerging research technique with important applications in the study of human fertility, constitutional chromosomal disorders, and tumor progression. Here, we develop a method to improve the detection of single-cell genome-wide copy number variation. Additional information about the blastomeres can be found in GSE11663. At this study, 14 amplified single blastomere DNA samples derived from 3-day-old and 4-day-old human embryos were analyzed by Agilent 244K array CGH. For these single cell Agilent 244K array CGH analyses: non-amplified genomic DNA extracted from the blood of a Klinefelter patient (XXY) was used as a reference sample. As a validation, the corresponding non-amplified genomic DNA samples were analyzed by 250K Nsp I SNP arrays (platform GPL3718 and GSE11663).
2011-08-09 | E-GEOD-31219 | biostudies-arrayexpress
Project description:Detection of genomic rearrangements from a single cell instead of a population of cells is an emerging research technique with important applications in the study of human fertility, constitutional chromosomal disorders, and tumor progression. Here, we develop a method to improve the detection of single-cell genome-wide copy number variation.
2011-08-24 | GSE27892 | GEO
Project description:Detection of genomic rearrangements from a single cell instead of a population of cells is an emerging research technique with important applications in the study of human fertility, constitutional chromosomal disorders, and tumor progression. Here, we develop a method to improve the detection of single-cell genome-wide copy number variation. At this study, 7 amplified single cell DNA samples derived from EBV-line [47,XY,+21], [46,XY,der(20),t(18;20)(p11.21;p13)], [46,XX,del(18)(p11.21->pter)], [46,X,der(X),t(X;14)(q21.1;q12.2)] were analyzed by Agilent 244K array CGH. For these single cell Agilent 244K array CGH analyses: non-amplified genomic DNA extracted from the blood of a Klinefelter patient (XXY) was used as a reference sample. As a validation, the corresponding non-amplified genomic DNA samples were analyzed by 250K Nsp I SNP arrays (platform GPL3718). Non-amplified genomic DNA extracted from the blood of a Klinefelter patient (XXY) was used as a reference sample for BAC array CGH
2011-08-23 | E-GEOD-27892 | biostudies-arrayexpress
Project description:Chromosomal rearrangements are prevalent events in the human population, occurring both constitutionally in the general population and somatically in the majority of cancers. Detection of balanced rearrangements, such as reciprocal translocations and inversions, is troublesome with many rearrangements remaining undetected. This is particularly detrimental in oncology where rearrangements play diagnostic and prognostic roles and can influence choice and efficacy of treatment protocols. New methods to detect and characterize balanced rearrangements are therefore required for both research and clinical applications. Here we describe the use of the chromosome conformation capture derived method Hi-C as a tool for detection of both balanced and unbalanced chromosomal rearrangements in cell lines and human tumor samples, with the ability to detect gene fusions and define chromosomal breakpoints to base pair resolution. In addition, we show that copy number information can also be obtained from the same data, allowing rearrangements, gains, amplifications and deletions of genomic regions to be detected in a single experiment.
2017-05-23 | GSE81879 | GEO
Project description:Chromothripsis represents a novel phenomenon in the structural variation landscape of cancer genomes. Here, we analyzed the genomes of ten patients with congenital disease that were preselected to carry complex chromosomal rearrangements (CCRs) with more than two breakpoints. The rearrangements displayed unanticipated complexity resembling chromothripsis. We find that eight of them contain hallmarks of multiple clustered double-stranded DNA breaks (DSBs) on one or more chromosomes. In addition, nucleotide resolution analysis of 98 breakpoint-junctions indicates that break-repair involves non-homologous or microhomology mediated end-joining. We observed that these eight rearrangements are balanced or contain sporadic deletions ranging in size between a few hundred bp and several Mb. The two remaining complex rearrangements did not display signs of DSBs and contain duplications, indicative of rearrangement processes involving template-switching. Our work provides detailed insight in the characteristics of chromothripsis and supports a role for clustered DSBs driving some constitutional chromothripsis rearrangements.
2012-05-11 | GSE37906 | GEO
Project description:Chromothripsis represents a novel phenomenon in the structural variation landscape of cancer genomes. Here, we analyzed the genomes of ten patients with congenital disease that were preselected to carry complex chromosomal rearrangements (CCRs) with more than two breakpoints. The rearrangements displayed unanticipated complexity resembling chromothripsis. We find that eight of them contain hallmarks of multiple clustered double-stranded DNA breaks (DSBs) on one or more chromosomes. In addition, nucleotide resolution analysis of 98 breakpoint-junctions indicates that break-repair involves non-homologous or microhomology mediated end-joining. We observed that these eight rearrangements are balanced or contain sporadic deletions ranging in size between a few hundred bp and several Mb. The two remaining complex rearrangements did not display signs of DSBs and contain duplications, indicative of rearrangement processes involving template-switching. Our work provides detailed insight in the characteristics of chromothripsis and supports a role for clustered DSBs driving some constitutional chromothripsis rearrangements. We analyzed five patient-parent trios with Illumina BeadChip arrays to test for (de novo) copy number variants and to analyze the parental origin of the complex rearrangements in these patients.
2012-05-10 | E-GEOD-37906 | biostudies-arrayexpress
Project description:In total, 240 single blastomeres from nine top-quality day-4 embryos frozen at day 3 of development and four fresh top-quality day-4 embryos that had one-cell biopsy on day 3 for preimplantation genetic diagnosis (PGD) were collected. Blastomeres' DNA was amplified using SurePlex DNA Amplification System (BlueGnome, Cambridge, UK) . Array-CGH was carried out using 24Sure Cytochip microarrays following the standard protocol (BlueGnome, www.cytochip.com). BAC array-CGH on single blastomeres amplified by SurePlex amplification Kit.
2013-04-05 | E-GEOD-39518 | biostudies-arrayexpress
Project description:Seventy blastomeres from fourteen frozen-thawed supernumerary human preimplantation embryos were disassociated and genomic was amplified using Multiple Displacement Amplification. BAC array-CGH was performed on the amplified products. BAC array-CGH on single blastomeres amplified by Multiple Displacement Amplification.
2012-10-15 | E-GEOD-34290 | biostudies-arrayexpress
Project description:Current methods for detection of copy number aberrations (CNA) from whole-exome sequencing (WES) data are based on the read counts of the captured exons only. However, accurate CNA determination is complicated by the non-uniform read depth and uneven distribution of exons. Therefore, we developed ENCODER (ENhanced COpy number Detection from Exome Reads), which eludes these problems. By exploiting the ‘off-target’ sequence reads, it allows for creation of robust copy number profiles from WES. The accuracy of ENCODER compares to approaches specifically designed for copy number detection, and outperforms current exon-based WES methods, particularly in samples of low quality. Current methods for detection of copy number aberrations (CNA) from whole-exome sequencing (WES) data are based on the read counts of the captured exons only. However, accurate CNA determination is complicated by the non-uniform read depth and uneven distribution of exons. Therefore, we developed ENCODER (ENhanced COpy number Detection from Exome Reads), which eludes these problems. By exploiting the ‘off-target’ sequence reads, it allows for creation of robust copy number profiles from WES. The accuracy of ENCODER compares to approaches specifically designed for copy number detection, and outperforms current exon-based WES methods, particularly in samples of low quality. Current methods for detection of copy number aberrations (CNA) from whole-exome sequencing (WES) data are based on the read counts of the captured exons only. However, accurate CNA determination is complicated by the non-uniform read depth and uneven distribution of exons. Therefore, we developed ENCODER (ENhanced COpy number Detection from Exome Reads), which eludes these problems. By exploiting the ‘off-target’ sequence reads, it allows for creation of robust copy number profiles from WES. The accuracy of ENCODER compares to approaches specifically designed for copy number detection, and outperforms current exon-based WES methods, particularly in samples of low quality. DNA copy number profiles generated with a new tool, ENCODER, were compared to DNA copy number profiles from SNP6, NimbleGen and low-coverage Whole Genome Sequencing.
2014-08-12 | GSE60254 | GEO
Project description:Current methods for detection of copy number aberrations (CNA) from whole-exome sequencing (WES) data are based on the read counts of the captured exons only. However, accurate CNA determination is complicated by the non-uniform read depth and uneven distribution of exons. Therefore, we developed ENCODER (ENhanced COpy number Detection from Exome Reads), which eludes these problems. By exploiting the ‘off-target’ sequence reads, it allows for creation of robust copy number profiles from WES. The accuracy of ENCODER compares to approaches specifically designed for copy number detection, and outperforms current exon-based WES methods, particularly in samples of low quality. Current methods for detection of copy number aberrations (CNA) from whole-exome sequencing (WES) data are based on the read counts of the captured exons only. However, accurate CNA determination is complicated by the non-uniform read depth and uneven distribution of exons. Therefore, we developed ENCODER (ENhanced COpy number Detection from Exome Reads), which eludes these problems. By exploiting the ‘off-target’ sequence reads, it allows for creation of robust copy number profiles from WES. The accuracy of ENCODER compares to approaches specifically designed for copy number detection, and outperforms current exon-based WES methods, particularly in samples of low quality. Current methods for detection of copy number aberrations (CNA) from whole-exome sequencing (WES) data are based on the read counts of the captured exons only. However, accurate CNA determination is complicated by the non-uniform read depth and uneven distribution of exons. Therefore, we developed ENCODER (ENhanced COpy number Detection from Exome Reads), which eludes these problems. By exploiting the ‘off-target’ sequence reads, it allows for creation of robust copy number profiles from WES. The accuracy of ENCODER compares to approaches specifically designed for copy number detection, and outperforms current exon-based WES methods, particularly in samples of low quality. DNA copy number profiles generated with a new tool, ENCODER, were compared to DNA copy number profiles from SNP6, NimbleGen and low-coverage Whole Genome Sequencing.
2014-08-12 | GSE60168 | GEO