Browse
Submit Data
Databases
API
Help

Dataset Information

0 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

ABSTRACT: Atypical teratoid rhabdoid tumor: Pediatric brain tumor

PROVIDER: PRJNA488903 | ENA |

REPOSITORIES: ENA

ACCESS DATA

Json Xml

Dataset's files

Source:

			Action	DRS
	SRR7777710_1.fastq.gz	Fastqsanger.gz
	SRR7777710_2.fastq.gz	Fastqsanger.gz
	SRR7777711_1.fastq.gz	Fastqsanger.gz
	SRR7777711_2.fastq.gz	Fastqsanger.gz
	SRR7777712_1.fastq.gz	Fastqsanger.gz

Items per page:

1 - 5 of 22

Similar Datasets

caArray_golub-00460: Prediction of central nervous system embryonal tumour outcome based on gene expression

Project description:Embryonal tumours of the central nervous system (CNS) represent a heterogeneous group of tumours about which little is known biologically, and whose diagnosis, on the basis of morphologic appearance alone, is controversial. Medulloblastomas, for example, are the most common malignant brain tumour of childhood, but their pathogenesis is unknown, their relationship to other embryonal CNS tumours is debated, and patients' response to therapy is difficult to predict. We approached these problems by developing a classification system based on DNA microarray gene expression data derived from 99 patient samples. Here we demonstrate that medulloblastomas are molecularly distinct from other brain tumours including primitive neuroectodermal tumours (PNETs), atypical teratoid/rhabdoid tumours (AT/RTs) and malignant gliomas. Previously unrecognized evidence supporting the derivation of medulloblastomas from cerebellar granule cells through activation of the Sonic Hedgehog (SHH) pathway was also revealed. We show further that the clinical outcome of children with medulloblastomas is highly predictable on the basis of the gene expression profiles of their tumours at diagnosis. golub-00460 Assay Type: Gene Expression Provider: Affymetrix Array Designs: Hu6800 Organism: Homo sapiens (ncbitax) Material Types: synthetic_RNA, organism_part, whole_organism, total_RNA Disease States: synthetic_RNA, organism_part, whole_orMedulloblastoma, renal rhabdoid tumor, Atypical Teratoid/Rhabdoid Tumor, Supratentorial PNET, Supratentorial PNET (pineoblastoma), Normal, Malignant Glioma, Extrarenal Rhabdoid Tumorganism, total_RNA

2015-05-16 | E-GEOD-68956 | biostudies-arrayexpress

Pooled CRISPR screens with joint single-nucleus chromatin accessibility and transcriptome profiling [CUT&RUN]

Project description:MultiPerturb-seq is a high-throughput CRISPR screening platform with joint single nucleus chromatin accessibility, transcriptome, and guide RNA capture. It uses combinatorial indexing combined with droplet microfluidics to scale throughput and integrate all three modalities. We apply MultiPerturb-seq to identify key genes whose loss can trigger differentiation in a rare pediatric cancer, atypical teratoid/rhabdoid tumor (AT/RT), which is driven by loss of the SWI/SNF chromatin remodeling subunit SMARCB1.

2024-10-13 | GSE278910 | GEO

Human pluripotent stem cell-derived brain tumor model uncovered embryonic stem cell signature as a key driver in atypical teratoid/rhabdoid tumor (microarray)

Project description:Atypical teratoid/rhabdoid tumor (AT/RT), which harbors INI1 mutation and exhibits a characteristic histology of rhabdoid cells, has a poor prognosis because of the lack of effective treatments. Here we established human INI1-deficient pluripotent stem cells (hPSCs), which developed AT/RT formation in vivo. However, INI1-deficient hPSC-derived neural progenitor cell (NPC) gave rise to mostly medulloblastoma-like tumors when transplanted into the mouse brain.

2019-06-20 | GSE118653 | GEO

MicroRNA expression profiles for paediatric brain tumours

Project description:In this study, we screened a cohort of 57 paediatric brain tumours, with a wide range of pathologies to identify microRNA profiles We analysed the microRNA profiles in paediatric brain tumours as compared to normal adult brain. Our cohort included 14 pilocytic astrocytomas, 3 diffuse astrocytomas, 2 anaplastic astrocytomas, 5 glioblastomas, 14 ependymomas, 9 medulloblastomas, 5 atypical teratoid/rhabdoid tumours, 4 choroid plexus papillomas, 1 papillary glioneuronal, and 7 adult brain controls.

2015-12-10 | E-GEOD-42657 | biostudies-arrayexpress

Gene expression profiles for paediatric brain tumours

Project description:In this study, we screened a cohort of 57 paediatric brain tumours, with a wide range of pathologies to identify gene expression profiles We analysed gene expression in paediatric brain tumours as compared to normal adult brain in order to understand the molecular profiles. Our cohort included 15 pilocytic astrocytomas, 3 diffuse astrocytomas, 2 anaplastic astrocytomas, 5 glioblastomas, 14 ependymomas, 9 medulloblastomas, 5 atypical teratoid/rhabdoid tumours, 4 choroid plexus papillomas, 8 adult brain and 8 foetal brain controls.

2013-07-29 | E-GEOD-42656 | biostudies-arrayexpress

A biobank of 30 molecularly characterized patient-derived xeongraft models of pediatric brain tumors [Affymetrix]

Project description:We have generated and comprehensively characterized 30 patient-derived orthotopic xenograft (PDOX) models and 7 cell lines represeneting subgroups of medulloblastoma, high-grade glioma, atypical teratoid/rhabdoid tumor, ependymoma and pineoblastoma.

2018-10-25 | GSE99961 | GEO

A biobank of 30 molecularly characterized patient-derived xeongraft models of pediatric brain tumors [Illumina HumanMethylation]

2018-10-25 | GSE99994 | GEO

Pooled CRISPR screens with joint single-nucleus chromatin accessibility and transcriptome profiling

2024-09-22 | GSE277747 | GEO

Transcriptome analysis in medulloblastoma groups

Project description:Embryonal tumors of the central nervous system (CNS) represent a highly malignant tumor group of medulloblastoma (MB), atypical teratoid/rhabdoid tumor (AT/RT), and primitive neuroectodermal tumor (PNET) that frequently afflict children. In this study, we report transcriptome traits in MB by using gene expression microarray analyses. We also compare MB dataset with AT/RT cases and AT/RT-like cases. 22 MB cases are subjected to transcriptome analysis

2015-04-15 | E-GEOD-67850 | biostudies-arrayexpress

Functional genomic analysis of adult and pediatric brain tumor isolates

Project description:Despite in-depth knowledge of the molecular features and oncogenic drivers associated with adult and pediatric brain tumors, identifying effective targeted therapies for these cancers remains challenging. To identify novel gene dependencies in adult and pediatric brain tumor isolates, we integrated data from functional genomic lethality screens in primary brain tumor isolates with machine learning network models from lethality screens performed in >900 cancer cell lines. Integrated network models revealed molecular and phenotypic features that predict candidate genetic dependencies in multiple brain tumor types, including: atypical teratoid rhabdoid tumors, diffuse intrinsic pontine gliomas, ependymomas, medulloblastomas, and glioblastomas (primary and recurrent). Some examples of dependencies and predictors include: ADAR and MX1 protein expression; EFR3A and low EFR3B expression; FBXO42 and spindle assembly checkpoint activation; FGFR1 and high FGF2 expression; and SMARCC2 in SMARCB1 mutated ATRT tumors. In general, the results demonstrate that large functional genetic data sets can be leveraged to identify, validate, and categorize gene dependencies and their associated biomarkers in primary tumor isolates. The results also highlight some of the challenges and limitations of this approach.

2023-02-07 | GSE213269 | GEO

OmicsDI is part of the ELIXIR infrastructure

OmicsDI is an Elixir interoperability service. Learn more ›

Tweets

OmicsDI Databases

PRIDE
PeptideAtlas
MassIVE
JPOST Repository
Physiome Model Repository

EGA
EVA
ENA
LINCS
PAXDB
Cell Collective

MetaboLights
Metabolomics Workbench
MetabolomeExpress
GNPS
BioModels
FAIRDOMHub

ArrayExpress
dbGaP
ExpressionAtlas
GEO
NODE

Information

Databases
Help
API
Contact us
Code on GitHub
Terms of use
Submit Data