Whole genome sequencing of adult glioblastoma nuclei
Ontology highlight
ABSTRACT:
PROVIDER: EGAS00001005256 | EGA |
REPOSITORIES: EGA
Similar Datasets
Project description:We report single nuclei RNA-sequencing data from two frozen left ventricular biopsies from a patient with dilated cardiomyopathy, providing a perspective on the cell types of the adult human failing heart.
2020-11-11 | GSE161153 | GEO
Project description:We report RNA-seq of single nuclei isolated from the adult C57BL/6 male mouse Hippocampus region. Majority of the nuclei were isolated from 12 weeks old mice (4 different animal), with an additional set of nuclei from 3 months and 2 years old animals. In addition a set of GFP labeled nuclei driven by a VGAT promoter . Microdissections of dentate gyrus, CA1 and CA2/3 regions of the Hippocampus were placed into ice-cold RNA-later for fixation and stored at 4âc overnight, then stored in -80âc. Nuclei were isolated by sucrose gradient centrifugation and kept on ice until sorting using Fluorescence Activated Cell Sorting (FACS) into 96 well plates containing RNA lysis buffer. Single nucleus RNA was first purified then derived cDNA libraries were generated following a modified Smart-seq2 protocol. For VGAT nuclei: high titer AAV1/2 of pAAV-EF1a-DIO-EYFP-KASH-WPRE-hGH-polyA was injected into dorsal and/or ventral Hippocampus, animals were sacrificed two weeks after injections, and GFP labeled nuclei were sorted into plates and processed as described above.
2016-08-16 | E-GEOD-85721 | biostudies-arrayexpress
Project description:We performed single nuclei RNA-sequencing (snRNA-seq) with matched T cell receptor sequencing (TCR-seq), and pool matched low pass whole genome sequencing (WGS) of 12 treatment-naïve non-small cell lung cancer (NSCLC) primary tumors (PTs) and 31 treatment-naïve NSCLC brain metastases (BMs) . In total, we recovered 277,206 cell transcriptomes in 43 samples.
2025-01-17 | GSE223499 | GEO
Project description:Single nuclei RNA-sequencing of the mouse placenta at four developmental stages (E9.5, E10.5, E12.5, E14.5). Supplementary files include the expression matrices for the integrated datasets containing nuclei from E9.5, E10.5, E12.5, and E14.5 and the clustering annotations for either all nuclei (AllStages_AllNuclei) or subclustered trophoblast nuclei (AllStages_TrophoblastNuclei). Processed data as R objects for both AllStages_AllNuclei and AllStages_TrophoblastNuclei are available at https://figshare.com/projects/Single_nuclei_RNA-seq_of_mouse_placental_labyrinth_development/92354
2020-11-02 | GSE152248 | GEO
Project description:We report RNA-seq of single nuclei isolated from the adult C57BL/6 male mouse Hippocampus region. Majority of the nuclei were isolated from 12 weeks old mice (4 different animal), with an additional set of nuclei from 3 months and 2 years old animals. In addition a set of GFP labeled nuclei driven by a VGAT promoter .
2016-08-16 | GSE85721 | 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: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:The assay for transposase-accessible chromatin using sequencing (ATAC-seq) is widely used to identify regulatory regions throughout the genome. However, only a few studies have been done at the single cell level (scATAC-seq) due to technical difficulties. Here we developed a simple and robust plate-based scATAC-seq method, combining upfront bulk tagmentation with single-nuclei sorting, to investigate open chromatin regions. We applied this method on mouse splenocytes and unbiasedly revealed key regulatory regions and transcription factors that define each cell (sub)type.
2018-10-10 | E-MTAB-6714 | biostudies-arrayexpress
Project description:Chromosomal copy number variations (CNV) have been associated with various neurological and developmental disorders and chromosomal microarray (CMA) is a method of choice to diagnose Copy Number Gain/Loss syndromes. Recently, next-generation sequencing (NGS)-based low-coverage whole genome sequencing (LC-WGS) has been applied to detect Copy Number Gain/Loss syndromes. This dataset is intended to be used as a “Golden standard data set” for development of LC-WGS analysis method. It consists of patients (n=63) who have a mental delay and/or physical disability phenotype and normal (n=20) phenotype.
2018-09-29 | GSE120624 | GEO