Identification of differentially expressed miRNAs in hypoxic tumor-initiating cell (TIC) cultures
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ABSTRACT:
ORGANISM(S): synthetic construct Homo sapiens
PROVIDER: GSE120424 | GEO | 2019/09/17
REPOSITORIES: GEO
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Project description:Tumor-initiating cells (TICs) exist in breast cancer and are thought to be the cause of tumor initiation, progression, and relapse. In these processes, proteases play an important role. Additionally, conditions of the tumor milieu, including hypoxic nutrient-deprived as well as normoxic nutrient-rich environments, influence the tumor-promoting actions of neoplastic cells. Therefore, we investigated the role of proteases in TICs and their response to different environments by means of a generated immortalized TIC line. After assessing immortalized TIC tumorigenicity by limiting dilution assays in vivo and their characteristics in different environmental conditions, a transcriptome analysis was performed of iTICS cultured in hypoxic stem cell conditions and 1-7 days in normoxic standard condtitions. A high proteolytic signature was identified and further investigated by inhibitor treatment and shRNA mediated RNA interference of Mmp14.
2018-11-27 | GSE113826 | GEO
Project description:Stable overexpression of miR-215 in patient-derived TIC culture T51 The main focus of the study was the identification and validation of potential target genes of hypoxia-responsive miR-215 in colon TICs
2019-09-17 | GSE120422 | GEO
Project description:The cancer stem cell model maintains that tumors are organized in a hierarchy driven by tumor initiating cells (TICs), and that patient survival inversely correlates with TIC gene expression. Here we generated a prognostic signature for HER2+ breast cancer from TICs purified from MMTV-Her2/Neu mammary tumors. TICs from this model, identified as Lin-:CD24+:JAG1- at a frequency of 2-5% by serial and single cell transplantation assays, showed elevated expression of proliferation genes and low expression of differentiation genes (compared to non-TIC fraction CD24- of the same tumor). We used microarrays to detect differentially expressed genes in the TIC fraction compared to the non-TIC fraction of the same tumor
2011-05-28 | GSE29590 | GEO
Project description:The cancer stem cell model maintains that tumors are organized in a hierarchy driven by tumor initiating cells (TICs), and that patient survival inversely correlates with TIC gene expression. Here we generated a prognostic signature for HER2+ breast cancer from TICs purified from MMTV-Her2/Neu mammary tumors. TICs from this model, identified as Lin-:CD24+:JAG1- at a frequency of 2-5% by serial and single cell transplantation assays, showed elevated expression of proliferation genes and low expression of differentiation genes (compared to non-TIC fraction CD24- of the same tumor). We used microarrays to detect differentially expressed genes in the TIC fraction compared to the non-TIC fraction of the same tumor Cells from each primary tumor were separated by FACS into TIC and non-TIC fractions and total RNA was extracted and hybridized on Affymetrix microarrays.
2011-05-28 | E-GEOD-29590 | biostudies-arrayexpress
Project description:Identification of differentially expressed miRNAs in hypoxic tumor-initiating cell (TIC) cultures
| PRJNA493054 | ENA
Project description:Most solid tumors seem to be organized in a hierarchy in which only a fraction of cells, termed tumor-initiating cells (TICs), is capable of disseminating new tumors after transplantation into recipient mice. However, whether a single TIC can induce a tumor or whether it requires additional TICs or non-TICs for tumor initiation is not known. Here we show that injections of single CD24+:Jag1- cells from Her2/Neu+ mammary tumors into recipient mammary glands induced tumors at a frequency of 1/22. Single cell-derived secondary tumors exhibited histology, flow cytometry and global expression profiles that were indistinguishable from primary tumors. Thus, a single TIC can act cell autonomously to induce a tumor and therefore complete eradication of all TICs would be required to cure cancer. Total RNA obtained from primary MMTV-Neu tumors, secondary tumors generated by lin- cell transplantation, and secondary tumors generated by a single TIC, were used for microarray analysis to determine differentially regulated genes in the secondary tumors. Cluster analysis based on gene expression were then performed to assess tumor similarity
2011-05-30 | E-GEOD-29616 | biostudies-arrayexpress
Project description:Most solid tumors seem to be organized in a hierarchy in which only a fraction of cells, termed tumor-initiating cells (TICs), is capable of disseminating new tumors after transplantation into recipient mice. However, whether a single TIC can induce a tumor or whether it requires additional TICs or non-TICs for tumor initiation is not known. Here we show that injections of single CD24+:Jag1- cells from Her2/Neu+ mammary tumors into recipient mammary glands induced tumors at a frequency of 1/22. Single cell-derived secondary tumors exhibited histology, flow cytometry and global expression profiles that were indistinguishable from primary tumors. Thus, a single TIC can act cell autonomously to induce a tumor and therefore complete eradication of all TICs would be required to cure cancer.
2011-05-30 | GSE29616 | GEO
Project description:Background: cancer cells rely on glycolysis as main ATP source (Warbürg effect). Tumor-initiating cells (TICs) are the fraction of cells that give raise and repopulate tumors. TICs are exposed to prolonged periods of oxygen and glucose deprivation (OGD), as they live in a hypoxic niche and they withstand prolonged lack of blood vessels during initial tumorigenesis or metastasis formation (avascular phase). Warbürg effect is energetically inefficient; we hypothesize that TICs might have differential metabolic features. Tumor eradication requires killing TICS; finding such features would have therapeutic implications. Methodology/principal findings: 106 MDA-MB-231 breast-cancer cells (hereafter Wt) were exposed for 5 weeks to 0.2% oxygen and 0.1g/l glucose, recovering 9 clones. Both flow-cytometry (50-fold enrichment in the CD24-/CD44+/CD133+ population) and xenografts in NOD/SCID mice using 100 cells (75% vs. 16% engraftment) suggest that OGD-resistant clones are true TICs (hereafter “TIC clones”). TIC clones showed a 30-fold higher replication and viability (BRDU incorporation, colony assay) than Wt. When exposed to OGD, ATP-production dropped 5-fold in WT, but was maintained in TIC clones by increasing 5-fold the fatty acid and oxygen consumption. These properties were explained by lack of upregulation of HIF-1 alpha and PDK1, as well as an increase in ATP-synthase. Analysis with metabolic inhibitors (2-deoxyglucose, antimycin-A) confirmed glycolysis and mitochondrial respiration as main routes of metabolism for Wt and TIC clones respectively. Metabolomics revealed that glutamine catabolism generated the NADPH required to quench reactive oxygen species generated during mitochondrial respiration in TIC clones. Glutamine deprivation or mitochondrial blockers were able to abrogate the viability of TIC clones. Conclusions/significance: the TIC-fraction of a cancer cell population withstands prolonged OGD by switching from the Warbürg effect to mitochondrial respiration. Targeting this metabolic feature abrogates the survival of TICs.
2015-12-13 | GSE37340 | GEO
Project description:The main objectives of the project are as follows: 1) Deciphering the TIC specific secretome signature. The secretome collected from four different TICs and their corresponding differentiated cell cultures will be subjected to label-free quantitative proteomic analysis to identify a TIC specific secretome signature. 2) Validation and functional characterization of selected molecules from TIC specific secretome signature. Selected molecules based on the level of regulation and literature information will be validated at the level of transcript and protein. The importance of a set of validated proteins will be studied both in vitro using neurosphere cultures and angiogenesis assays, and in vivo using an intracranial glioma model in nude mice 3) Characterizing of GBM specific serum proteome signature. Using label-free quantitative proteomics, we will compare the serum proteome of tumor bearing mice (xenotransplantated with TICs), early after tumor establisment and after the tumor has reached its maximum size.We will also explore by targeted quantitative proteomics whether the level of “specific” TIC-secreted proteins is increased in the serum of TIC initiated GBM bearing mice and verify, using the same strategy, proteins found to be differentially expressed in serum in both mice groups. These studies will reveal whether TIC-secreted proteins (and/or other GBM-derived proteins) can be retrieved in serum and thus be considered as candidate biomarkers of GBM.
2022-06-07 | PXD032958 | Pride
Project description:Undifferentiated pleomorphic sarcomas (UPS) are thought to harbor a small population of cells with unique capability of tumor initiation and maintenance. These tumor initiating cells (TICs) are regarded as the drivers of cancer progression. However, the evidence for this tumor initiating cell (TIC) concept is based on the xenotransplantation assays in mice and the clinical relevance of the TIC concept remains unclear in UPS. We hypothesized that the distinct properties of the TICs would be reflected in the clinical outcome if the TIC concept is relevant in UPS. Here we performed global gene expression profiling of TIC-enriched side population (SP) fractions and non-SP fractions sorted from 15 UPS primary samples. Ninety-three genes were differentially expressed in between SP fractions and non-SP fractions. The UPS TIC gene expression signature score summarizing expression of these genes was calculated for a gene expression data and was correlated with clinical outcome. In the 15 samples used to generate the signature, patients with high scores in the SP fractions were associated with worse survival. We then tested the two independent published datasets with gene expression data on bulk unsorted samples, assuming that the TIC gene expression would persist in the non-TICs. Patients with high scores had significantly worse metastasis-free survival in both datasets. The significance of the score remained significant even considering for the known prognostic factor of UPS. Thus, gene expression signature derived from UPS TICs predicts clinical outcome, suggesting the clinical relevance of the TIC concept in UPS.
2016-02-01 | GSE55973 | GEO