Escherichia coli str. K-12 substr. MG1655
Ontology highlight
ABSTRACT:
PROVIDER: PRJNA274968 | ENA |
REPOSITORIES: ENA
Similar Datasets
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: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:Background: The packaging of long chromatin fibres in the nucleus poses a major challenge, as it must fulfil both physical and functional requirements. Until recently, insight into the chromosomal architecture of plants was mainly provided by cytogenetic studies. Complementary to these analyses, chromosome conformation technologies promise to refine and improve our view on chromosomal architecture and to provide a more generalised description of nuclear organization. Results: Employing circular chromosome conformation capture (4C), this study describes chromosomal architecture in Arabidopsis nuclei from a genome-wide perspective. Surprisingly, the linear organisation of chromosomes is reflected in the genome-wide interactome. In addition, we studied the interplay of the interactome and epigenetic marks and report that the heterochromatic knob on the short arm of chromosome 4 (hk4s) maintained a pericentromere-like interaction profile and interactome despite its euchromatic surrounding. Conclusion: Despite the extreme condensation that is necessary to pack the chromosomes into the nucleus, the Arabidopsis genome appears to be packed in a predictive manner, according to the following criteria: (i) heterochromatin and euchromatin represent two distinct interactomes, (ii) interactions between chromosomes correlates with the linear position on the chromosome arm, and (iii) distal chromosome regions have a higher potential to interact with other chromosomes. This study includes circular chromosome conformation capture (4C) sequencing information of 13 samples, present in two batches, each present in duplicates (A and B). The individual 4C sequencing information can be retrieved by the 4C primer sequence, given in the 4C primer information file.
2013-11-01 | E-GEOD-50181 | biostudies-arrayexpress
Project description:<p>Recently developed methods that utilize partitioning of long genomic DNA fragments, and barcoding of shorter fragments derived from them, have succeeded in retaining long-range information in short sequencing reads. These so-called read cloud approaches represent a powerful, accurate, and cost-effective alternative to single-molecule long-read sequencing. We developed software, GROC-SVs, that takes advantage of read clouds for structural variant detection and assembly. We apply the method to two 10x Genomics data sets, one chromothriptic sarcoma with several spatially separated samples, and one breast cancer cell line, all Illumina-sequenced to high coverage. Comparison to short-fragment data from the same samples, and validation by mate-pair data from a subset of the sarcoma samples, demonstrate substantial improvement in specificity of breakpoint detection compared to short-fragment sequencing, at comparable sensitivity, and vice versa. The embedded long-range information also facilitates sequence assembly of a large fraction of the breakpoints; importantly, consecutive breakpoints that are closer than the average length of the input DNA molecules can be assembled together and their order and arrangement reconstructed, with some events exhibiting remarkable complexity. These features facilitated an analysis of the structural evolution of the sarcoma. In the chromothripsis, rearrangements occurred before copy number amplifications, and using the phylogenetic tree built from point mutation data, we show that single nucleotide variants and structural variants are not correlated. We predict significant future advances in structural variant science using 10x data analyzed with GROC-SVs and other read cloud-specific methods.</p>
| phs001255 | dbGaP
Project description:In many eukaryotes, Argonaute proteins, guided by short RNA sequences, defend cells against transposons and viruses. In the eubacterium Thermus thermophilus, the DNA-guided Argonaute TtAgo defends against transformation by DNA plasmids. Here, we report that TtAgo also participates in DNA replication. In vivo, TtAgo binds 15-18 nt DNA guides derived from the chromosomal region where replication terminates and associates with proteins known to act in DNA replication. When gyrase, the sole T. thermophilus type II topoisomerase, is inhibited, TtAgo allows the bacterium to finish replicating its circular genome. In contrast, loss of both gyrase and TtAgo activity slows growth and produces long sausage-like filaments in which the individual bacteria are linked by DNA. Finally, wild-type T. thermophilus outcompetes an otherwise isogenic strain lacking TtAgo. We propose that the primary role of TtAgo is to help T. thermophilus disentangle the catenated circular chromosomes generated by DNA replication.
2020-03-17 | MSV000085109 | MassIVE
Project description:UDiTaS™, a genome editing detection method for indels and genome rearrangements
| PRJNA433666 | ENA
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:The integration of T-DNA to plant genomes is widely used for basic research and agriculture. High heterogeneity in the number of integration events per genome, their configuration and impact on genome integrity highlight both, the critical need and great challenge to detect the genomic locations of T-DNA insertions and their associated chromosomal rearrangements. Here we present ‘4SEE’, a circular chromosome conformation capture (4C) based method for robust, rapid and cost-efficient detection of the entire scope T-DNA locations. Moreover, by measuring the chromosomal architecture at plant genome flanking the T-DNA insertions, 4SEE outlines their associated complex chromosomal aberrations. Applying 4SEE to a collection of confirmed T-DNA lines revealed previously unmapped T-DNA insertions and chromosomal rearrangements such as inversions and translocations. Uncovering such events in feasible, robust and cost-effective manners by 4SEE in any plant of interest have implications for accurate annotation and phenotypic characterization of T-DNA insertion mutants and transgene expression in basic science applications as well as for plant biotechnology.
2020-04-05 | GSE147542 | GEO