Browse
Submit Data
Databases
API
Help

Dataset Information

0 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

RNA-seq in 247 B-lineage ALL

ABSTRACT: RNA-seq from RNA isolated from bone marrow or peripheral blood of newly diagnosed acute lymphoblastic leukemia patients

ORGANISM(S): Homo sapiens

PROVIDER: GSE124824 | GEO | 2020/01/23

REPOSITORIES: GEO

ACCESS DATA

Json Xml

Dataset's files

Source:

			Action	DRS
		Other

Items per page:

1 - 1 of 1

Similar Datasets

RNA-seq in 73 B-lineage ALL patients

Project description:RNA-seq from RNA isolated from bone marrow or peripheral blood of newly diagnosed acute lymphoblastic leukemia patients on TotalXVI protocol

2020-01-23 | GSE115525 | GEO

Expression data from Down syndrome and non-Down syndrome pediatric acute lymphoblastic leukemia cases

Project description:Gene expression profiling (GEP) can reveal characteristic signatures associated with distinct biologic subtypes of acute lymphoblastic leukemia (ALL). We performed GEP on Down syndrome (DS) and comparison non-Down syndrome (NDS) ALL cases to identify biologic differences between these groups. Ficoll-enriched, cryopreserved diagnostic bone marrow samples were obtained from patients with newly diagnosed B-precursor acute lymphoblastic leukemia.

2011-07-12 | E-GEOD-20910 | biostudies-arrayexpress

Clinical significance of recurrent copy number abnormalities revealed by SNP array in childhood T-cell acute lymphoblastic leukemia

Project description:T-cell acute lymphoblastic leukemia (T-ALL) is a genetically highly heterogeneous disease, and numerous genetic aberrations in the leukemic genome are responsible for the biological and clinical differences among particular ALL subtypes. However, there is limited knowledge about the association of whole genome copy number abnormalities (CNAs) in childhood T-cell ALL with the course of leukemia and outcome. The aim of study was identification the pattern of whole genome CNAs in 86 newly diagnosed childhood T-ALL using a high-density single-nucleotide polymorphism (SNP) array.A series of bone marrow aspirates from 86 children with newly diagnosed T-ALL were analysed prior to any oncological treatment.

2020-03-24 | GSE147381 | GEO

Persistence of targetable lesions, predicted therapy sensitivity and proteomes through disease evolution in pediatric acute lymphoblastic leukemia

Project description:This data set consists of pediatric acute lymphoblastic leukemia (ALL) primary bone marrow biopsies from the BC Children's Hospital BioBank, pediatric ALL cell lines, non-cancer bone marrow biopsies, and few ALL PDX. All files are DIA and searched by Spectronaut with a spectral library.

2023-01-05 | MSV000091012 | MassIVE

caArray_willm-00140: TARGET-ALL Expression: Children's Oncology Group Study 9906 for High-Risk Pediatric ALL

Project description:Gene Expression Classifiers for Minimal Residual Disease and Relapse Free Survival Improve Outcome Prediction and Risk Classification in Children with High Risk Acute Lymphoblastic Leukemia: A Children's Oncology Group Study willm-00140 Assay Type: Gene Expression Provider: Affymetrix Array Designs: HG-U133_Plus_2 Organism: Homo sapiens (ncbitax) Tissue Sites: Blood, Bone marrow Material Types: Peripheral Blood, Bone Marrow Disease States: Childhood Precursor B-Lymphoblastic Leukemia

2015-05-12 | E-GEOD-68735 | biostudies-arrayexpress

Affymetrix SNP array data for B-lineage acute lymphoblastic leukemia

Project description:To shed light on the molecular bases of B-lineage acute lymphoblastic leukemia lacking known rearrangements (B-NEG ALL) and the differences between children and adults, we analyzed 168 B-NEG ALLs - including children, adolescents/young adults (AYA) and adults by genome-wide technologies, namely Next-generation sequencing and copy number aberration (CNA). Affymetrix SNP array analysis was performed according to the manufacturer's directions on DNA extracted from bone marrow sampled at diagnosis and paired germline DNA extracted from peripheral blood/bone marrow at complete remission or saliva.

2016-03-01 | GSE67405 | GEO

Affymetrix SNP array data for B-lineage acute lymphoblastic leukemia

2016-03-01 | E-GEOD-67405 | biostudies-arrayexpress

MicroRNA-sequencing of Brazilian pediatric acute lymphoblastic leukemia

Project description:MicroRNA-sequencing of the bone marrow samples from Brazilian pediatric patients with B-cell acute lymphoblastic leukemia (B-ALL) and T-cell acute lymphoblastic leukemia (T-ALL).

2022-04-13 | E-MTAB-11621 | biostudies-arrayexpress

The bone marrow microenvironment of pre-B acute lymphoblastic leukemia at single-cell resolution

Project description:The bone marrow microenvironment of leukemia plays a key role in leukemia progression, but its molecular complexity in pre-B acute lymphoblastic leukemia (B-ALL), the most common cancer in children, remains poorly understood. Here we use single-cell RNA sequencing to characterise the bone marrow microenvironment during B-ALL progression.

2020-07-27 | GSE148115 | GEO

Transcription profiling of human ALL samples for patients included in the Dutch Childhood Oncology Group

Project description:Childhood acute lymphoblastic leukemia (ALL) comprises a large group of genetic subtypes with a favorable prognosis characterized by a TEL-AML1-fusion, hyperdiploidy (>50 chromosomes) or E2A-PBX1 fusion and a smaller group with unfavorable outcome characterized by either a BCR-ABL-fusion, MLL-rearrangement or T-ALL. About 25% of precursor B-ALL are currently genetically unclassified and have an intermediate prognosis. The present study used genome-wide strategies to reveal new biological insights and advance the prognostic classification of childhood ALL. A double-loop cross validation was used to construct a classifier based on gene expression in ALL cells from 190 newly diagnosed cases (COALL cohort, GEO GSE13425) with a prediction accuracy of 90%. T-ALL, TEL-AML1-positive, hyperdiploid and E2A-rearranged cases were identified with 100% sensitivity and â?¥94% specificity. The classifier accuracy was confirmed in an independent cohort of 107 cases (87.9%, DCOG cohort, GEO GSE13351). Experiment Overall Design: Bone marrow and peripheral blood samples were collected at diagnosis and frozen. After thawing, RNA was extracted, labelled and hybridized to Affymetrix U133 Plus 2.0 arrays.

2009-02-01 | E-GEOD-13351 | biostudies-arrayexpress

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