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Bladder cancer cell lines side population and non-side population cells

ABSTRACT: Bladder cancer cell lines side population and non-side population cells

PROVIDER: PRJNA509372 | ENA |

REPOSITORIES: ENA

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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 J82 side population and non-side population cells

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 | GSE123607 | GEO

Transcriptional signature of IFN-alpha in the non-side population of ovarian cancer cells

Project description:To determine the IFN-alpha signature in non-side population of ovarian cancer Keywords: response to interferon-alpha Affymetrix microarrays for non Side Population cells. 2 phenotypes: treated with interferon alpha and untreated; 2 technical replicates for each phenotypes.

2009-03-24 | E-GEOD-10943 | biostudies-arrayexpress

Side Population Analysis in Clear Cell Renal Cell Carcinoma

Project description:Cancer stem cells have an important role in tumour biology. While their identity in haematological malignancies is clearly defined, stem cell identity remains elusive in some solid tumours. Clear cell renal cell carcinoma (ccRCC) represents the most common form of kidney cancer, but the identity or existence of ccRCC stem cells remains unknown. We aimed to discern their existence using the widely utilised side population approach in ccRCC cell lines. In all cells tested, a well-defined side population was identified, and cell-based assays suggested stem-like properties. However, limiting dilution assays revealed comparable tumour initiating abilities and tumour histology of side and non-side populations, and single cell RNA-sequencing revealed minimal differences between these populations. The results indicate that the side population approach is not sufficient for cancer stem cell discovery in ccRCC.

2021-11-22 | GSE188635 | GEO

Bladder cancer cell lines side population and non-side population cells

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

2020-01-30 | GSE123610 | 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

Transcriptional signature of IFN-alpha in the non-side population of ovarian cancer cells

Project description:To determine the IFN-alpha signature in non-side population of ovarian cancer Keywords: response to interferon-alpha

2009-03-25 | GSE10943 | GEO

Characterization of side population cells from spontaneously transformed mouse lung carcinoma cell lines

Project description:Background The side population (SP) phenotype, a subset of cells that extrude the nucleic acid dye Hoechst 33342, has been reported to be enriched for stem cells in several human normal tissues, cancers and cell lines, and thus may be useful for the identification and isolation of cancer stem cells. Methods We demonstrated the presence of SP fractions in all analyzed tumor cell lines ranging between 7- 20% of cells. To identify gene expression patterns that contribute to SP phenotype, microarray analysis of SP and non-SP cells was performed. We additionally confirmed regulation of some genes by qRT-PCR. Results Surprisingly, only a subset of few genes in SP cells showed altered gene expression. A total of 11 genes in A2C12, 103 genes in cRAF_cMYC and 101 genes in beta5 SP cells were regulated. Most regulated genes are involved in transcription / transcriptional regulation and transport. In addition, we found no enrichment of previously described stem cell marker like CD24a, CD90 or CD133 and also the ABC transporter ABCG2 was only slightly increased in side population fraction of two cell lines. But despite the few differences between SP and non-SP cells, the beta5 tumor cells were highly tumorigenic due to their capacity to form an original murine tumor when injected in NOD/SCID mice. Conclusion These findings stand in contrast to other observations but indicate that there are further factors responsible for the SP phenotype and that SP cells alone are not suitable as a universal stem cell marker.

2016-12-31 | GSE22275 | 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 “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

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