Browse
Submit Data
Databases
API
Help

Dataset Information

0 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

Gene expression of 50 FFPE tissues of adults with T-cell lymphoblastic lymphoma

ABSTRACT: Gene expression of 50 FFPE tissues of adults with T-cell lymphoblastic lymphoma

PROVIDER: PRJNA575366 | ENA |

REPOSITORIES: ENA

ACCESS DATA

Json Xml

Similar Datasets

Gene expression of 50 FFPE tissues of adults with T-cell lymphoblastic lymphoma

Project description:The current study aimed to establish a discriminative gene-based classifier of survival outcomes of T-cell lymphoblastic lymphoma (T-LBL) patients by exploring global gene-expression profiles of progressive versus progression-free T-LBL patients for differentially expressed candidate genes.

2022-10-01 | GSE138300 | GEO

Gene expression of 6 FFPE tissues of adults with T-cell lymphoblastic lymphoma

Project description:Gene expression of 6 FFPE tissues of adults with T-cell lymphoblastic lymphoma

| PRJNA599130 | ENA

Prognostic and predictive value of a microRNA signature in adults with T-cell lymphoblastic lymphoma

Project description:microRNA profiling of T-cell lymphoblastic lymphoma vs fetal thymus

2018-04-30 | GSE113749 | GEO

Prognostic and predictive value of a microRNA signature in adults with T-cell lymphoblastic lymphoma

Project description:Prognostic and predictive value of a microRNA signature in adults with T-cell lymphoblastic lymphoma

| PRJNA453913 | ENA

Affymetrix OncoScan SNP data for T-cell lymphoblastic lymphoma

Project description:We performed single nucleotide polymorphism (SNP) array profiling on 9 early T-cell precursor lymphoblastic lymphoma and 15 non-early T-cell precursor lymphoblastic lymphoma cases. Affymetrix SNP arrays were performed according to the manufacturer's directions on DNA extracted from unstained slides.

2021-03-15 | GSE168884 | GEO

miRNA profiling of pediatric T cell lymphoblastic lymphoma

Project description:miRNA profiling has been performed on primary tumor samples collected at diagnosis from pediatric patients affected by T-cell lymphoblastic lymphoma.

2014-06-10 | GSE55846 | GEO

Affymetrix SNP array data for acute lymphoblastic leukemia and lymphoblastic lymphoma samples

Project description:Childhood T-cell malignancies include T-cell acute lymphoblastic leukemia (T-ALL) and T-cell lymphoblastic lymphoma (T-LBL). T-ALL and T-LBL share common morphologic and immunophenotypic features and are treated with similar therapeutic approaches. Nonetheless, they show distinct clinical presentations suggesting that they may represent two different biological entities. In order to investigate the common and unique genetic aberrations of T-LBL and T-ALL, copy number alteration (CNA) analysis was performed on a subset of the samples analyzed by GEP Affymetrix SNP arrays were performed according to the manufacturer's directions on DNA extracted from diagnostic bone marrow aspirates or tumor tissue samples. Copy number analysis of Affymetrix 100K SNP arrays was performed for 9 T-ALL and 9 T-LBL pediatric samples. The samples from leukemia/lymphoma remission were used as references for copy number inference.

2012-06-29 | E-GEOD-30319 | biostudies-arrayexpress

Affymetrix SNP array data for acute lymphoblastic leukemia and lymphoblastic lymphoma samples

2012-06-30 | GSE30319 | GEO

miRNA profiling of pediatric T cell lymphoblastic lymphoma

Project description:miRNA profiling has been performed on primary tumor samples collected at diagnosis from pediatric patients affected by T-cell lymphoblastic lymphoma. Tumor tissue was frozen at the time of surgery. Mononucleated cells were isolated from pleural effusions upon red blood cell lysis and frozen. The experiment does not include technical replicates.

2014-06-10 | E-GEOD-55846 | biostudies-arrayexpress

T-ALL and T-lymphoblastic lymphoma

Project description:T-cell acute lymphoblastic leukemia (T-ALL) and T-cell lymphoblastic lymphoma (T-LL) and are often thought to represent a spectrum of a single disease. The malignant cells in T-ALL and T-LL are morphologically indistinguishable, and they share the expression of common cell surface antigens and cytogenetic characteristics. However, despite these similarities, differences in the predominant sites of disease in T-ALL and T-LL are observed. To determine if underlying biological distinctions may potentially contribute to some of these differences, we analyzed the global gene expression profiles of malignant T-cell precursors in ten T-ALL and nine T-LL using DNA arrays. Ten additional B-precursor ALL bone marrow samples, were used in a separate analysis. Keywords: ordered

2004-09-01 | GSE1577 | 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