Ontology highlight
ABSTRACT:
PROVIDER: PRJNA1017960 | ENA |
REPOSITORIES: ENA
Dataset's files
| Action | DRS | |||
|---|---|---|---|---|
| SRR26091639_1.fastq.gz | Fastqsanger.gz | |||
| SRR26091640_1.fastq.gz | Fastqsanger.gz | |||
| SRR26091641_1.fastq.gz | Fastqsanger.gz | |||
| SRR26091642_1.fastq.gz | Fastqsanger.gz | |||
| SRR26091643_1.fastq.gz | Fastqsanger.gz |
Items per page: 5 1 - 5 of 5 |
Similar Datasets
Project description:Linked-pair long-read sequencing strategy for genetic analysis
| PRJNA1015982 | ENA
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:Base-pair level resolution of DNase susceptibility of the native chromatin state. These maps represent and are dependent upon the nature and the specificity of interaction of the DNA with the regulatory/modulatory proteins binding at specific loci in the genome; thus they represent the native chromatin state of the genome under investigation. The deep sequencing approach has been used to define the footprint landscape of the genome by identifying DNA motifs that interact with known or novel DNA-binding proteins 2 replicates of the erythroid cells were generated and profiled by Dnase I.
2014-03-05 | E-GEOD-55579 | biostudies-arrayexpress
Project description:The exact positions of nucleosomes along genomic DNA can influence many aspects of chromosome function, yet existing methods for mapping nucleosomes do not provide the necessary single base pair accuracy to determine these positions. Here we develop and apply a new approach for direct mapping of nucleosome centers based on chemical modification of engineered histones. The resulting map locates nucleosome center positions genome-wide in unprecedented detail and accuracy. It reveals novel aspects of the in vivo nucleosome organization that are linked to transcription factor binding, RNA polymerase pausing, and the higher order structure of the chromatin fiber itself. 6 samples were analyzed with high throughout parallel sequencing. All samples were created using the same chemical mapping protocol except with varying reaction times. The different reaction times did not make any significant difference in the nucleosome maps so all the data, for the 6 samples, were combined into one data set for the paper and are all considered replicates. The 6 samples are as follows: 1. 20 minute reaction time (single-end sequencing) 2. 20 minute reaction time (single-end sequencing) 3. 1 minute reaction time (single-end sequencing) 4. 1.5 minute reaction time (single-end sequencing) 5. 20 minute reaction time (paired-end sequencing) 6. 1.5 minute reaction time (paired-end sequencing)
2012-05-16 | E-GEOD-36063 | biostudies-arrayexpress
Project description:Sex chromosomes evolved many times independently in many different organisms. According to the currently accepted model, X- and Y-chromosomes evolve from a pair of autosomes via a series of inversions leading to step-wise expansion of a non-recombining region on the Y chromosome (NRY) and the consequential degeneration of genes trapped in the NRY. Our results suggest that plants represent an exception to this rule due to their unique life-cycle that includes alteration of diploid and haploid generations and widespread haploid expression of genes in plant gametophytes. Using a new high-throughput approach we identified over 400 new genes expressed from X- and Y- chromosomes in Silene latifolia, a plant that evolved sex chromosomes about 10 million years ago. Y-linked genes show faster accumulation of amino-acid replacements and loss of expression, compared to X-linked genes. These degenerative processes are significantly less pronounced in more constrained genes and genes that are likely exposed to haploid-phase selection. This may explain why plants retain hundreds of expressed Y-linked genes despite millions of years of Y-chromosome degeneration, while animal Y-chromosomes are almost completely degenerate. We used a combination of Illumina sequencing of cDNA (RNAseq) and segregation analysis of SNPs identified from RNAseq to identify sex-linked genes in plant Silene latifolia. The experiment involved RNAseq from male and female parents and F1 progeny for two genetic crosses. We submit raw data in fastq format for 11 samples. Four of these samples are single end Solexa reads (a single file per sample) and seven samples were sequenced with paired end Solexa sequencing (two fastq files per sample) - 18 files in total.
2012-07-30 | E-GEOD-30958 | biostudies-arrayexpress
Project description:In females with X-linked genetic disorders, wild-type and mutant cells coexist within brain tissue because of random X-chromosome inactivation. This cellular mosaicism leads to phenotypic variability and poses significant challenges for interpreting the effects of X-linked mutant alleles on gene expression. We present a single-nucleus RNA sequencing approach that resolves mosaicism by using single nucleotide polymorphisms in genes that are expressed in cis with the X-linked mutation to determine whether individual nuclei express the wild-type or mutant allele even when the mutant gene is not directly detected. This approach enables genome-wide comparisons of gene expression between mutant and wild-type cells within the same individual and eliminates the variability introduced by comparisons to controls with different genetic backgrounds. We apply this approach to mosaic female mouse models and humans with Rett syndrome, an X-linked neurodevelopmental disorder caused by mutations in the methyl-DNA-binding protein MECP2, and reveal that cell-type-specific DNA methylation patterns largely predict the degree of gene upregulation by MECP2 in specific neuronal subtypes. The approach described here can be broadly applied to the characterization of gene expression in additional mosaic X-linked conditions.
2018-11-15 | GSE113903 | GEO
Project description:Base-pair level resolution of DNase susceptibility of the native chromatin state. These maps represent and are dependent upon the nature and the specificity of interaction of the DNA with the regulatory/modulatory proteins binding at specific loci in the genome; thus they represent the native chromatin state of the genome under investigation. The deep sequencing approach has been used to define the footprint landscape of the genome by identifying DNA motifs that interact with known or novel DNA-binding proteins
2014-03-05 | GSE55579 | GEO