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| Status |
Public on Jan 30, 2020 |
| Title |
Expression data from J82 side population and non-side population cells |
| Organism |
Homo sapiens |
| Experiment type |
Expression profiling by array
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| Summary |
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.
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| Overall design |
By Hoechst dye staining and FACS analysis, side population (SP) and non-side population cells were sorted from J82 cells. RNA were isolated and HuEx array was run for gene expression analysis.
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| Contributor(s) |
Xu T, Li H, Li M, Liang G, Goldkorn A |
| Citation(s) |
32017074, 35406487 |
| Submission date |
Dec 11, 2018 |
| Last update date |
Apr 20, 2022 |
| Contact name |
Gangning Liang |
| E-mail(s) |
gliang@usc.edu
|
| Organization name |
USC Keck school of medicine
|
| Department |
Urology
|
| Street address |
1441 Biggy street
|
| City |
Los Angeles |
| State/province |
CA |
| ZIP/Postal code |
90033 |
| Country |
USA |
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| Platforms (1) |
| GPL5175 |
[HuEx-1_0-st] Affymetrix Human Exon 1.0 ST Array [transcript (gene) version] |
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| Samples (2) |
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| This SubSeries is part of SuperSeries: |
| GSE123610 |
Bladder cancer cell lines side population and non-side population cells |
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| Relations |
| BioProject |
PRJNA509369 |
