671beb60-5484-409d-a81e-299108db39ec - samples
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ABSTRACT:
PROVIDER: EGAD00001009507 | EGA |
REPOSITORIES: EGA
Similar Datasets
Project description:Whole genome sequencing of 10 HCLc tumor and matched-germline T cells. Genomic DNA from highly purified HCLc tumor and T cell populations were utilized for library preparation using NEBNext Ultra DNA library prep kit. Sequencing was performed as 150 bp paired end sequencing using four lanes of an Illumina HiSeq4000 to an average depth of 12X. Reads from each library were aligned to the human reference genome GRCh37 using BWA-MEM (v0.7.12). The analysis of somatic genetic alterations in WGS data from tumor-germline pair HCLc samples was divided based on the nature of the mutation, as follow: single-nucleotide variants (SNVs), indels, CNAs and SVs. Moreover, COSMIC mutational signatures and subclonal architecture was inferred for each tumor.
2023-01-01 | E-MTAB-12046 | biostudies-arrayexpress
Project description:ETMRs are aggressive pediatric embryonal brain tumors with universally dismal outcome. We collected 193 ETMR samples and an additional 23 matched relapses to investigate the genomic landscape of this distinct entity. We found that patients having tumors without C19MC amplification, the proposed driver, frequently harbor DICER1 germline mutations or other miRNA-related aberrations such as somatic miR-17-92 miRNA cluster amplifications. Despite these distinct genetic aberrations, no molecular subgrouping was observed. Whole-genome sequencing revealed an overall low recurrence of SNVs, but prevalent R-loop-associated chromosomal instability, of which we show that this can be induced by loss of DICER1 function. Comparing primary tumors and matched relapses revealed a strong conservation of SVs but low conservation of SNVs. Moreover, many newly acquired SNVs are associated to a new cisplatin treatment related mutational signature. Finally, we show that targeting R-loops with topoisomerase and PARP inhibitors might be an effective treatment strategy for this deadly disease.
2019-08-26 | GSE122038 | GEO
Project description:ETMRs are aggressive pediatric embryonal brain tumors with universally dismal outcome. We collected 193 ETMR samples and an additional 23 matched relapses to investigate the genomic landscape of this distinct entity. We found that patients having tumors without C19MC amplification, the proposed driver, frequently harbor DICER1 germline mutations or other miRNA-related aberrations such as somatic miR-17-92 miRNA cluster amplifications. Despite these distinct genetic aberrations, no molecular subgrouping was observed. Whole-genome sequencing revealed an overall low recurrence of SNVs, but prevalent R-loop-associated chromosomal instability, of which we show that this can be induced by loss of DICER1 function. Comparing primary tumors and matched relapses revealed a strong conservation of SVs but low conservation of SNVs. Moreover, many newly acquired SNVs are associated to a new cisplatin treatment related mutational signature. Finally, we show that targeting R-loops with topoisomerase and PARP inhibitors might be an effective treatment strategy for this deadly disease.
2019-08-26 | GSE122077 | GEO
Project description:Effective molecular diagnosis of congenital diseases hinges on comprehensive genomic analysis, traditionally reliant on various methodologies specific to each variant type — whole exome or genome sequencing for single nucleotide variants (SNVs), array CGH for copy-number variants (CNVs), and microscopy for structural variants (SVs). We introduce a novel, integrative approach combining exome sequencing with chromosome conformation capture, termed Exo-C. This method enables the concurrent identification of SNVs in clinically relevant genes and SVs across the genome and allows analysis of heterozygous and mosaic carriers. Enhanced with targeted long-read sequencing, Exo-C evolves into a cost-efficient solution capable of resolving complex SVs at base-pair accuracy. Through several case studies, we demonstrate how Exo-C's multifaceted application can effectively uncover diverse causative variants and elucidate disease mechanisms in patients with rare disorders.
2024-01-24 | GSE253950 | GEO
Project description:Cancer genomes often contain structural variations (SVs) in non-coding regions, while its impact on tumorigenesis is still unclear. Our goal is to discover genome folding changes resulted from SVs using InfoGenomeR and InfoHiC frameworks, which may reveal novel therapeutic targets. We applied our frameworks to five pediatric patients with medulloblastoma, revealing 3D genome changes of medulloblastoma driver genes.
| EGAS00001006653 | EGA
Project description:CRISPRs and TALENs are efficient systems for gene editing in many organisms including plants. In many cases the CRISPR-Cas or TALEN modules are expressed in the plant cell only transiently. Theoretically, transient expression of the editing modules should limit unexpected effects compared to stable transformation. However, very few studies have measured the off-target and unpredicted effects of editing strategies on the plant genome, and none of them have compared these two major editing systems. We conducted a comprehensive genome-wide investigation of off-target mutations using either a CRISPR-Cas9 or a TALEN strategy. We observed a similar number of SNVs and InDels for the two editing strategies compared to control non-transfected plants, with an average of 8.25 SNVs and 19.5 InDels for the CRISPR-edited plants, and an average of 17.5 SNVs and 32 InDels for the TALEN-edited plants. Interestingly, a comparable number of SNVs and InDels could be detected in the PEG-treated control plants. This shows that except for the on-target modifications, the gene editing tools used in this study did not show a significant off-target activity nor unpredicted effects on the genome, and that the PEG treatment in itself was probably the main source of mutations found in the edited plants.
2022-03-03 | E-MTAB-11497 | biostudies-arrayexpress
Project description:U87MG is a commonly studied grade IV glioma cell line that has been analyzed in at least 1,700 publications over four decades. In order to comprehensively characterize the genome of this cell line and to serve as a model of broad cancer genome sequencing, we have generated greater than 30x genomic sequence coverage using a novel 50-base mate paired strategy with a 1.4kb mean insert library. A total of 1,014,984,286 mate-end and 120,691,623 single-end two-base encoded reads were generated from five slides. All data were aligned using a custom designed tool called BFAST, allowing optimal color space read alignment and accurate identification of DNA variants. The aligned sequence reads and mate pair information identified 35 interchromosomal translocation events, 1,315 structural variations (>100bp), 191,743 small (<21bp) insertions and deletions (indels), and 2,384,470 single nucleotide variations (SNVs). Among these observations, the known homozygous mutation in PTEN was robustly identified, and genes involved in cell adhesion were overrepresented in the mutated gene list. Data were compared to 219,187 heterozygous single nucleotide polymorphisms assayed by Illumina 1M Duo genotyping array to assess accuracy: 93.83% of all SNPs were reliably detected at filtering thresholds that yield greater than 99.99% sequence accuracy. Protein coding sequences were disrupted predominantly in this cancer cell line due to small indels, large deletions and translocations. In total, 512 genes were homozygously mutated, including 154 by SNVs, 178 by small indels, 145 by large microdeletions and 35 by interchromosomal translocations to reveal a highly mutated cell line genome. Of the small homozygously mutated variants, 8 SNVs and 99 indels were novel events not present in dbSNP. These data demonstrate that routine generation of broad cancer genome sequence is possible outside of genome centers. The sequence analysis of U87MG provides an unparalleled level of mutational resolution compared to any cell line to date. Whole genome sequencing of the U87MG brain cancer cell line using the AB SOLiD3 sequencer and genotyping using the Illumina Human1M-Duov3 DNA Analysis BeadChip
2010-01-24 | E-GEOD-19986 | biostudies-arrayexpress
Project description:Somatic SNVs and Indels for INSPIRE Tumor WES called using Mutect, Mutect2, Varscan2, Vardict, and Strelka2
| EGAD00001006569 | EGA