Ontology highlight
ABSTRACT:
PROVIDER: PRJNA437181 | ENA |
REPOSITORIES: ENA
Dataset's files
| Action | DRS | |||
|---|---|---|---|---|
| SRR6812470_1.fastq.gz | Fastqsanger.gz | |||
| SRR6812470_2.fastq.gz | Fastqsanger.gz | |||
| SRR6812471_1.fastq.gz | Fastqsanger.gz | |||
| SRR6812471_2.fastq.gz | Fastqsanger.gz | |||
| SRR6812472_1.fastq.gz | Fastqsanger.gz |
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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.
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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).
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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.
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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
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