Ontology highlight
ABSTRACT:
PROVIDER: PRJNA588364 | ENA |
REPOSITORIES: ENA
Dataset's files
| Action | DRS | |||
|---|---|---|---|---|
| SRR10441778_1.fastq.gz | Fastqsanger.gz | |||
| SRR10441778_2.fastq.gz | Fastqsanger.gz | |||
| SRR10441779_1.fastq.gz | Fastqsanger.gz | |||
| SRR10441779_2.fastq.gz | Fastqsanger.gz | |||
| SRR10441780_1.fastq.gz | Fastqsanger.gz |
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Project description:In principle, whole-genome sequencing (WGS) of the human genome even at low coverage offers higher resolution for genomic copy number variation (CNV) detection compared to array-based technologies, which is currently the first-tier approach in clinical cytogenetics. There are, however, obstacles in replacing array-based CNV detection with that of low-coverage WGS such as cost, turnaround time, and lack of systematic performance comparisons. With technological advances in WGS in terms of library preparation, instrument platforms, and data analysis algorithms, obstacles imposed by cost and turnaround time are fading. However, a systematic performance comparison between array and low-coverage WGS-based CNV detection has yet to be performed. Here, we compared the CNV detection capabilities between WGS (short-insert, 3kb-, and 5kb-mate-pair libraries) at 1X, 3X, and 5X coverages and standardly used high-resolution arrays in the genome of 1000-Genomes-Project CEU genome NA12878. CNV detection was performed using standard analysis methods, and the results were then compared to a list of Gold Standard NA12878 CNVs distilled from the 1000-Genomes Project. Overall, low-coverage WGS is able to detect drastically more (approximately 5 fold more on average) Gold Standard CNVs compared to arrays and is accompanied with fewer CNV calls without secondary validation. Furthermore, we also show that WGS (at ≥1X coverage) is able to detect all seven validated deletions larger than 100 kb in the NA12878 genome whereas only one of such deletions is detected in most arrays. Finally, we show that the much larger 15 Mbp Cri-du-chat deletion can be clearly seen at even 1X coverage from short-insert WGS.
2018-06-26 | GSE105092 | GEO
Project description:The Y-encoded multicopy gene Sly has been shown to repress X and Y genes in spermatids, among which are its X-linked homologs Slx and Slxl1, via modulation of post-meiotic sex chromain (PMSC). In this experiment, we compared expression in spermatids from mice that are deficient for Sly (shSLY), for Slx/Slxl1 (shSLX1) or both (shSLX1shSLY). We observed that Slx/Slxl1 has an opposite role to that of Sly, and stimulates expression of X and Y genes in spermatids when Sly is absent. Slx/Slxl1 deficiency rescues the sperm differentiation defects and near sterility caused by Sly deficiency and vice versa. Slx/Slxl1 deficiency also causes a sex ratio distortion towards the production of male offspring that is corrected by Sly deficiency.
2012-07-06 | GSE39109 | GEO
Project description:The Y-encoded multicopy gene Sly has been shown to repress X and Y genes in spermatids, among which are its X-linked homologs Slx and Slxl1, via modulation of post-meiotic sex chromain (PMSC). In this experiment, we compared expression in spermatids from mice that are deficient for Sly (shSLY), for Slx/Slxl1 (shSLX1) or both (shSLX1shSLY). We observed that Slx/Slxl1 has an opposite role to that of Sly, and stimulates expression of X and Y genes in spermatids when Sly is absent. Slx/Slxl1 deficiency rescues the sperm differentiation defects and near sterility caused by Sly deficiency and vice versa. Slx/Slxl1 deficiency also causes a sex ratio distortion towards the production of male offspring that is corrected by Sly deficiency. Wild type strain-matched spermatids are used as a control (4 biological replicates), and 3 biological replicate samples are analysed for each genotype of interest (shSLY, shSLX1 and shSLX1shSLY)
2012-07-05 | E-GEOD-39109 | biostudies-arrayexpress
Project description:We evaluated linked-read whole genome sequencing (WGS) for detection of structural chromosomal rearrangements in primary samples of varying DNA quality from 12 patients diagnosed with ALL. Linked-read WGS enabled precise, allele-specific, digital karyotyping at a base-pair resolution for a wide range of structural variants including complex rearrangements, aneuploidy assessment and gene deletions. Additional RNA-sequencing and copy number aberrations (CNA) data from Illumina Infinium arrays were also generated and assessed against the linked-read WGS data. RNA-sequencing data was used to support structural chromosomal rearrangements detected in the linked-read WGS data by detecting expressed fusion genes as a consequence of the rearrangements. Illumina Infinium arrays (450k array and/or SNP array) were used to assess CNA status to further support the findings in the linked-read WGS data. The processed CNA data from the primary ALL patient samples has been deposited to GEO. RNA-sequencing, linked-read WGS data, and raw SNP array data from the primary ALL patient samples will not be deposited because the patient/parent consent does not cover depositing data that may be used for large-scale determination of germline variants in a repository. The ALL samples were collected 10-20 years ago from pediatric patients aged 2-15 years, some whom have deceased. The linked-read WGS data and the RNA-sequencing data sets generated in the study are available upon reasonable request from the corresponding author Jessica.Nordlund@medsci.uu.se.
2020-03-02 | GSE117693 | GEO
Project description:We evaluated linked-read whole genome sequencing (WGS) for detection of structural chromosomal rearrangements in primary samples of varying DNA quality from 12 patients diagnosed with ALL. Linked-read WGS enabled precise, allele-specific, digital karyotyping at a base-pair resolution for a wide range of structural variants including complex rearrangements, aneuploidy assessment and gene deletions. Additional RNA-sequencing and copy number aberrations (CNA) data from Illumina Infinium arrays were also generated and assessed against the linked-read WGS data. RNA-sequencing data was used to support structural chromosomal rearrangements detected in the linked-read WGS data by detecting expressed fusion genes as a consequence of the rearrangements. Illumina Infinium arrays (450k array and/or SNP array) were used to assess CNA status to further support the findings in the linked-read WGS data. The processed CNA data from the primary ALL patient samples has been deposited to GEO. RNA-sequencing, linked-read WGS data, and raw SNP array data from the primary ALL patient samples will not be deposited because the patient/parent consent does not cover depositing data that may be used for large-scale determination of germline variants in a repository. The ALL samples were collected 10-20 years ago from pediatric patients aged 2-15 years, some whom have deceased. The linked-read WGS data and the RNA-sequencing data sets generated in the study are available upon reasonable request from the corresponding author Jessica.Nordlund@medsci.uu.se.
2020-03-02 | GSE117692 | GEO
Project description:We evaluated linked-read whole genome sequencing (WGS) for detection of structural chromosomal rearrangements in primary samples of varying DNA quality from 12 patients diagnosed with ALL. Linked-read WGS enabled precise, allele-specific, digital karyotyping at a base-pair resolution for a wide range of structural variants including complex rearrangements, aneuploidy assessment and gene deletions. Additional RNA-sequencing and copy number aberrations (CNA) data from Illumina Infinium arrays were also generated and assessed against the linked-read WGS data. RNA-sequencing data was used to support structural chromosomal rearrangements detected in the linked-read WGS data by detecting expressed fusion genes as a consequence of the rearrangements. Illumina Infinium arrays (450k array and/or SNP array) were used to assess CNA status to further support the findings in the linked-read WGS data. The processed CNA data from the primary ALL patient samples has been deposited to GEO. RNA-sequencing, linked-read WGS data, and raw SNP array data from the primary ALL patient samples will not be deposited because the patient/parent consent does not cover depositing data that may be used for large-scale determination of germline variants in a repository. The ALL samples were collected 10-20 years ago from pediatric patients aged 2-15 years, some whom have deceased. The linked-read WGS data and the RNA-sequencing data sets generated in the study are available upon reasonable request from the corresponding author Jessica.Nordlund@medsci.uu.se.
2020-03-02 | GSE116057 | GEO
Project description:Whole genome sequencing (WGS) from snap-frozen oesophageal tumour tissue and germline nucleic acids isolated from peripheral blood mononuclear cells (PBMC) was performed as part of the International Cancer Genome Consortium project and OCCAMS consortium (1,2). Filtered read sequences were mapped to the human reference genome (GRCh37) using Burrows-Wheeler Alignment (BWA). In the matched tumour/germline samples, somatic acquired mutation identification was performed using a Bayesian algorithm implemented in the tool Seurat (3). Functional annotation of identified somatic mutations was performed with the tool SnpEff (4). CNV detection was performed with the tool Control-FREEC (5) 1) Weaver, J. M. et al. Ordering of mutations in preinvasive disease stages of esophageal carcinogenesis. Nat.Genet. 46, 837-843 (2014). 2) Weaver, J. M., Ross-Innes, C. S. & Fitzgerald, R. C. The '-omics' revolution and oesophageal adenocarcinoma. Nature reviews. Gastroenterology & hepatology 11, 19-27 (2014) 3) Christoforides, A. et al. Identification of somatic mutations in cancer through Bayesian-based analysis of sequenced genome pairs. BMC.Genomics 14, 302 (2013). 4) Cingolani, P. et al. A program for annotating and predicting the effects of single nucleotide polymorphisms, SnpEff: SNPs in the genome of Drosophila melanogaster strain w1118; iso-2; iso-3. Fly.(Austin.) 6, 80-92 (2012). 5) Boeva V, Popova T, Bleakley K, Chiche P, Cappo J, Schleiermacher G, Janoueix-Lerosey I, Delattre O, Barillot E. (2011) Control-FREEC: a tool for assessing copy number and allelic content using next generation sequencing data. Bioinformatics. 2011 Dec 6
2016-09-09 | E-MTAB-4600 | biostudies-arrayexpress
Project description:We performed shallow whole genome sequencing (WGS) on circulating free (cf)DNA extracted from plasma or cerebrospinal fluid (CSF), and shallow WGS on the tissue DNA extracted from the biopsy in order to evaluate the correlation between the two biomaterials. After library construction and sequencing (Hiseq3000 or Ion Proton), copy number variations were called with WisecondorX.
2021-11-17 | E-MTAB-10548 | biostudies-arrayexpress
Project description:Ovarian cancer is a global problem, is typically diagnosed at a late stage and has no effective screening strategy. Platinum-based chemotherapy or Poly(ADP-ribose) polymerase inhibitors (PARPis) treatment are most frequently applied for ovarian cancer patients who are inoperable and in the advanced stage. The recognition of homologous recombination deficiency (HRD) as a biomarker to predict the effect of Platinum-based or PARPis treatment. WGS and WES can detect tumor HRD status but have several disadvantages which restrict their clinical application. My choice HRD CDx and Foundation Focus CDx are approved by FDA for HRD detection, however, whether they are applicable to the Chinese population or not is unknown. In this study, we created an SNP-based Tg-NGS panel to fill in gaps in Chinese patients’ HRD screening. Our results showed that the panel is cost and time-saving compared with WGS, but equivalent with SNP microarray on CNV and HRD detection. In summary, this newly developed kit is promising in clinical application to guide ovarian cancer and even other cancer types therapy.
2023-02-21 | GSE203509 | GEO