Browse
Submit Data
Databases
API
Help

Dataset Information

0 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

Gene expression profiling of side population (SP) cells and non-SP cells in Hodgkin Lymphoma (HL) cell lines

ABSTRACT: Gene expression profiling of side population (SP) cells and non-SP cells in Hodgkin Lymphoma (HL) cell lines

PROVIDER: PRJNA596979 | ENA |

REPOSITORIES: ENA

ACCESS DATA

Json Xml

Similar Datasets

Gene expression profiling of side population (SP) cells and non-SP cells in Hodgkin Lymphoma (HL) cell lines_2

Project description:SP cells in HL cell lines are characterized by up-regulation of genes related to TNF-alpha Signaling via NF-κB, Inflammatory Response and Hypoxia compared to the non-SP cells.

2021-06-28 | GSE142413 | GEO

Gene expression profiling of side population (SP) cells and non-SP cells in Hodgkin Lymphoma (HL) cell lines_1

2021-06-28 | GSE142411 | GEO

Gene expression profiling of side population (SP) cells and non-SP cells in Hodgkin Lymphoma (HL) cell lines_1

Project description:Gene expression profiling of side population (SP) cells and non-SP cells in Hodgkin Lymphoma (HL) cell lines_1

| PRJNA596984 | ENA

Gene expression profiling of side population (SP) cells and non-SP cells in Hodgkin Lymphoma (HL) cell lines_2

Project description:Gene expression profiling of side population (SP) cells and non-SP cells in Hodgkin Lymphoma (HL) cell lines_2

| PRJNA596983 | ENA

Expression data from HTR-8/Svneo side population (SP) and non-side population (NSP) cells

Project description:Immature cell populations, including stem cells and progenitor cells, can be found in “side-population (SP)” cells. Although SP cells isolated from some adult tissues have been reported elsewhere, isolation and characterization of human trophoblast SP cells remained to be reported. We used microarrays to detail the global program of gene expression underlying cell differentiation and identified up-regulated genes of SP cells.

2011-03-12 | GSE27909 | GEO

Expression data from HTR-8/Svneo side population (SP) and non-side population (NSP) cells

2014-09-18 | GSE61547 | GEO

Gene expression profiling of side population (SP) cells and non-SP cells in Hodgkin Lymphoma (HL) cell lines

Project description:This SuperSeries is composed of the SubSeries listed below.

2021-06-28 | GSE142414 | GEO

Transcription profiling of Hodgkin Lymphoma- and Anaplastic Large Cell Lymphoma-derived cell lines

Project description:To identify genes and pathways involved in the pathogenesis of Hodgkin Lymphoma (HL) and Anaplastic Large Cell Lymphoma (ALCL) , we used the Ontario Cancer Institute (OCI) Human 27k arrays (UNH Homo sapiens 19K8 array), to study the expression profiling in pairs of HL-derived cell lines (KMH2 and L428) and ALCL-derived cell lines (DEL and SR-786).

2009-03-31 | E-MEXP-1132 | biostudies-arrayexpress

Gene expression profile of zebrafish kidney side population (SP) cells

Project description:Side population (SP) cells are identified based on their capacity to efflux of the fluorescent dye Hoechst 33342, and are enriched for hematopoietic stem cells (HSCs) in mammalian bone marrow. We recently demonstrated that SP cells were present in the teleost kidney, the main hematopoietic organ in teleosts, and were enriched for HSCs. In this analysis, to identify the regulated genes in teleost HSCs, gene expression analysis of zebrafish kidney SP cells were performed using the GeneChip Zebrafish Genome Array.

2008-10-10 | GSE12955 | GEO

Expression data of diagnostic biopsy samples from Hodgkin lymphoma patients

Project description:Despite advances in Hodgkin lymphoma (HL) treatment, about 20% of patients still die due to progressive disease. Current prognostic models predict treatment outcome with imperfect accuracy, and clinically relevant biomarkers are yet to be established that improve upon the International Prognostic Scoring (IPS) system. We analyzed 130 frozen diagnostic lymph node biopsies from classical HL patients by gene expression profiling to describe cellular signatures correlated with treatment outcome.

2010-03-01 | GSE17920 | 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