GEO DataSets

(Submitter supplied) We have generated tumorigenic (S2N) and non-tumorigenic (S2), normal-like to basal-like breast cancer cell lines from primary tumors. At high in vivo inoculation cell numbers of 10^6 cells/mouse both S2N and S2 monolayer as well as sphere culture cells grew at similar rates. However, at low inoculation cell numbers down to 10^3 cells only S2N sphere cells generated xenograft tumors. mRNA profiling revealed a unique cluster pattern of the tumorigenic S2N sphere cells, but a detailed analysis of TIC relevant transcription factors like Oct3, Sox and Nanog family members, Myc, Slug or Twist1 revealed no consistently increased expression in the highly tumorigenic cell lines. more...

Organism:

Homo sapiens

Type:

Expression profiling by array

Platform:

GPL570

12 Samples

Download data: CEL

(Submitter supplied) Background: Cancer stem cells are presumed to have virtually unlimited proliferative and self-renewal abilities and to be highly resistant to chemotherapy, a feature that is associated with overexpression of ATP-binding cassette transporters. We investigated whether prolonged continuous selection of cells for drug resistance enriches cultures for cancer stem-like cells. Methods: Cancer stem cells were defined as CD44+/CD24– cells that could self-renew (ie, generate cells with the tumorigenic CD44+/CD24– phenotype), differentiate, invade, and form tumors in vivo. more...

Organism:

Homo sapiens

Type:

Expression profiling by array

Dataset:

GDS4084

Platform:

GPL571

4 Samples

Download data: CEL

Analysis of weakly tumorigenic parental MCF-7 cells and a multistep doxorubicin-selected MCF-7/ADR subline. Results provide insight into whether prolonged continuous selection of cells for drug resistance enriches for cancer stem-like cells.

Organism:

Homo sapiens

Type:

Expression profiling by array, transformed count, 2 cell line, 2 genotype/variation sets

Platform:

GPL571

Series:

GSE24460

4 Samples

Download data: CEL

(Submitter supplied) The goal of this study is to compare the transcriptome of the 2 MVT1 subpopulations in order to identify new genes and pathways that stands beyond the CD24+ aggressive phenotype

Organism:

Mus musculus

Type:

Expression profiling by high throughput sequencing

Platform:

GPL17021

6 Samples

Download data: TXT

(Submitter supplied) We FACS sorted Ras-transformed human mammary epithelial cells (HMLER cells) into GD2+ and GD2- as well as CD44high/CD24low and CD44low/Cd24highcells and comapred the four different population by array.

Organism:

Homo sapiens

Type:

Expression profiling by array

Platform:

GPL570

12 Samples

Download data: CEL, CSV

(Submitter supplied) The CD44hi compartment in human breast cancer is enriched in tumor-initiating cells, however the functional heterogeneity within this subpopulation remains poorly defined. From a human breast cancer cell line with a known bi-lineage phenotype we have isolated and cloned two CD44hi populations that exhibited mesenchymal/Basal B and luminal/Basal A features, respectively. Rather than CD44+/CD24-,Basal B (G4) cells, only CD44hi/CD24lo, epithelioid Basal A (A4) cells retained a tumor-initiating capacity in NOG mice, form mammospheres and exhibit resistance to standard chemotherapy. more...

Organism:

Homo sapiens

Type:

Expression profiling by array

Platform:

GPL6244

10 Samples

Download data: CEL

(Submitter supplied) This SuperSeries is composed of the SubSeries listed below.

Organism:

Homo sapiens

Type:

Expression profiling by array; SNP genotyping by SNP array

Platforms:

GPL16333 GPL4133

19 Samples

Download data: TXT

(Submitter supplied) The cellular heterogeneity of one patient derived orthotopic breast cancer xenograft model PDX was investigated using flow cytometry, combined with assessment of in vivo tumorigenicity and SNP genotyping array for copy number analysis. Epithelial cell adhesion molecule (EpCAM) was revealed as a highly specific cell surface marker of the human tumor cell population in both xenografts. Based on expression patterns observed in primary tumor tissue, SSEA-4 and CD24 were chosen as markers to further subdivide the luminal tumor cells into four subpopulations. more...

Organism:

Homo sapiens

Type:

SNP genotyping by SNP array

Platform:

GPL16333

4 Samples

Download data: TXT

(Submitter supplied) The cellular heterogeneity of one patient derived orthotopic breast cancer xenograft model (PDBCX) was investigated using flow cytometry , combined with assessment of in vivo tumorigenicity and whole genome expression profiling. Epithelial cell adhesion molecule (EpCAM) was revealed as a highly specific cell surface marker of the human tumor cell population in both xenografts. Based on expression patterns observed in primary tumor tissue, SSEA-4 and CD24 were chosen as markers to further subdivide the luminal tumor cells into four subpopulations. more...

Organism:

Homo sapiens

Type:

Expression profiling by array

Platform:

GPL4133

15 Samples

Download data: TXT

(Submitter supplied) Using a syngeneic p53 null mouse mammary gland tumor model that closely mimics human breast cancer, we have identified by limiting dilution transplantation as well as in vitro mammosphere and clonogenic assays a Lin-CD29HighCD24High subpopulation of tumor-initiating cells. Differentially expressed genes in the Lin-CD29HighCD24High mouse mammary gland tumor-initiating cell population include those involved in DNA damage response and repair, as well as genes involved in epigenetic regulation previously shown to be critical for stem cell self-renewal. more...

Organism:

Mus musculus

Type:

Expression profiling by array

Platform:

GPL1261

18 Samples

Download data: CEL, CHP

(Submitter supplied) Colorectal cancer (CRC) has the third highest incidence and mortality rates among the US population. According to the most recent concept of carcinogenesis, human tumors are organized hierarchically, and the top of this hierarchy is occupied by malignant stem cells, or cancer stem cells (CSCs), which possess unlimited self-renewal and tumor-initiating capacities and high resistance to conventional anticancer therapies. more...

Organism:

Homo sapiens

Type:

Expression profiling by high throughput sequencing

Platform:

GPL11154

4 Samples

Download data: TXT

(Submitter supplied) It is becoming better understood that radiation resistance in glioblastomas (GBMs) may be secondary to a self-renewing subpopulation of cells in the bulk tumor that form neurospheres in culture. This population has been referred to as Glioma stem cells (GSCs). One of the limitations regarding the use of GSCs is that these studies require fresh tumor biopsy samples obtained from patients, and can be extremely difficult to culture, propagate, and perform treatment-response assays. more...

Organism:

Homo sapiens

Type:

Expression profiling by array

Platform:

GPL570

7 Samples

Download data: CEL

(Submitter supplied) In the cancer stem cell model a cell hierarchy has been suggested as an explanation for intratumoral heterogeneity, and tumor formation is thought to be driven by this tumor cell subpopulation. The identification of cancer stem cells in osteosarcoma (OS) and the biological processes dysregulated in this cell subpopulation, also known as tumor-initiating cells (TICs), may provide new therapeutic targets. more...

Organism:

Homo sapiens

Type:

Expression profiling by array

Platform:

GPL570

18 Samples

Download data: CEL

(Submitter supplied) Mounting evidence points to a link between a cancer possessing stem-like properties and a worse prognosis. To understand the biology, a common approach is to integrate network biology with signal processing mechanics. That said, even with the right tools, predicting the risk for a highly susceptible target using only a handful of gene signatures remains very difficult. By compiling the expression profiles of a panel of tumor stem-like cells (TSLCs) originating in different tissues, comparing these to their parental tumor cells (PTCs) and the human embryonic stem cells (hESCs), and integrating network analysis with signaling mechanics, we propose that network topologically-weighted signaling processing measurements under tissue-specific conditions can provide scalable and predicable target identification. more...

Organism:

Homo sapiens

Type:

Expression profiling by array

Platform:

GPL570

78 Samples

Download data: CEL