Browse
Submit Data
Databases
API
Help

Dataset Information

0 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

Expression data from J82 side population and non-side population cells

ABSTRACT: Subpopulations of highly tumorigenic, drug resistant cancer stem-like cells play a key role in cancer recurrence and progression. Surprisingly, these aggressive cells can arise repeatedly de novo from bulk tumor cells independently of mutational events. We investigated whether transition to and from a cancer stem-like state is associated with epigenetic alterations, such as DNA methylation and chromatin accessibility. By Hoechst dye staining and FACS analysis, side population (SP) and non-side population cells were sorted from J82 cells. AcceSssIble assay by Infinium EPIC BeadArray platform was used to identify potential epigenetic driver genes in the process of SP /NSP phenotype plasticity. Genes with differential accessible promoter regions were overlapped with genes differentially expressed by HuEx array analysis. Oncomine and Basespace were adopted to explore the clinical relevance of the target genes.

ORGANISM(S): Homo sapiens

PROVIDER: GSE123607 | GEO | 2020/01/30

REPOSITORIES: GEO

ACCESS DATA

Json Xml

Similar Datasets

Difference of DNA methylation and Chromatin accessibility of J82 SP cell and J82 NSP cell

Project description:Subpopulations of highly tumorigenic, drug resistant cancer stem-like cells play a key role in cancer recurrence and progression. Surprisingly, these aggressive cells can arise repeatedly de novo from bulk tumor cells independently of mutational events. We investigated whether transition to and from a cancer stem-like state is associated with epigenetic alterations, such as DNA methylation and chromatin accessibility. By Hoechst dye staining and FACS analysis, side population (SP) and non-side population cells were sorted from J82 cells. AcceSssIble assay by Infinium EPIC BeadArray platform was used to identify potential epigenetic driver genes in the process of SP /NSP phenotype plasticity. Genes with differential accessible promoter regions were overlapped with genes differentially expressed by HuEx array analysis. Oncomine and Basespace were adopted to explore the clinical relevance of the target genes.

2020-01-30 | GSE123609 | GEO

Expression data from J82 side population and non-side population cells

Project description:Expression data from J82 side population and non-side population cells

| PRJNA509369 | 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

B-cell chronic lymphocytic leukemia side population cells

Project description:Analysis of Hoechst dye 33342-effluxing side population (SP) cells from B-CLL peripheral blood mononuclear cells.

2011-09-27 | GSE30171 | GEO

CAL-51 breast cancer side population cells

Project description:Human solid tumors contain rare cancer side population (SP) cells, which expel the fluorescencent dye H33342 and display cancer stem cell characteristics. Transcriptional profiling of cancer SP cells isolated by H33342 fluorescence analysis is a newly emerging approach to discover cancer stem cell markers and aberrant differentiation pathways. Using Affymetrix expression microarrays this study investigated differential gene expression between SP and non-SP (NSP) cells isolated from the CAL-51 human mammary carcinoma cell line. Keywords: cell type comparison

2009-12-31 | GSE18773 | GEO

Single cell RNA sequencing data of Side Population and Non-Side Population tumor cells from a mouse model of undifferentiated pleomorphic sarcoma

Project description:We report the application of single-cell RNA sequencing data on Side Population (SP) cells and their Non-Side Population (NSP) counterparts in a mouse model of undifferentiated pleomorphic sarcoma (UPS). SP cells exhibit tumor propagting cell properties characterized by enhanced tumorigenicity and self-renewal potential. The purpose of this experiment is to investigate cellular heterogeneity at the gene expression level in UPS tumors and lineage relationships between different subpopulation of tumor cells. We generated the gene expression profiles of individual cells in the SP and NSP compartments of mouse UPS.

2022-01-07 | GSE162847 | GEO

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 M-bM-^@M-^\side-population (SP)M-bM-^@M-^] 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 HTR-8/SVneo SP cells or NSP cells were isolated using a FACS Vantage fluorescence-activated cell sorter (BD Bioscience, San Jose, California) using dual wavelength analysis (blue, 424 - 444nm; red 675 nm) after excitation with 350 nm UV light. PI-positive dead cells were excluded from the analysis. Sorted SP and NSP cells' RNA had been analyzed by microarray analysis.

2014-09-18 | E-GEOD-61547 | biostudies-arrayexpress

B-cell chronic lymphocytic leukemia side population cells

Project description:Analysis of Hoechst dye 33342-effluxing side population (SP) cells from B-CLL peripheral blood mononuclear cells. 9 biological replicates from B-CLL patients sorted into CD5+CD19+ SP and non-SP subsets. Two color comparative gene expression using Agilent microarrays.

2011-09-26 | E-GEOD-30171 | biostudies-arrayexpress

Differential gene expression profiles of side population and non-side population cells of malignant pleural mesothelioma

Project description:Malignant pleural mesothelioma (MPM), which is associated with occupational asbestos exposure, is a deadly disease with no effective treatments due mainly to its high resistance to anti-cancer drugs. The molecular mechanisms responsible for its chemotherapeutic resistance are complicated and undefined. However, the presence of side population cells (SP cells) in tumors is a well-accepted explanation for their anti-cancer drug resistance. To identify SP cell-specific gene expression signature, microarray technique has been employed. Our data show differential gene expression profiles between SP and non-SP cells of H2714 mesothelioma cells. SP cells over-expressed genes associated with cancer stem cell (CSC) and drug resistance: DUSP6, SPRY2 and IL6, as well as multi-pathways, including the cancer stem cell-associated pathways Notch and c-Kit. Therefore, we believe that targeting CSC-specific genes and pathways in SP cells may hold the key to the discovery of effective treatments for reversing chemotherapeutic resistance to MPM treatment.

2011-11-18 | GSE33734 | GEO

OmicsDI is part of the ELIXIR infrastructure

OmicsDI is an Elixir interoperability service. Learn more ›

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