Project description:Cancer stem cells (CSCs) drive prostate cancer (PCa) progression and metastasis. These cells exhibit remarkable self-renewal, chemoresistant and invasive potentials, and are thought to participate in the changes in cellular architecture that lead to epithelial-to-mesenchymal transition (EMT). Conventional therapies fail to eliminate CSCs, which results in tumor recurrence and progression to castration resistant PCa (CRPC). Recent evidence suggests that castration itself can induce EMT, which could potentiate the â??stemnessâ?? and number of CSCs within the tumor. Hence, there is an urgent need for EMT- and CSC-targeted therapies that could prevent progression to CRPC. 22Rv1, DU145, LNCaP, and PC3 cells were grown under sphere-forming conditions standardized in our lab. We have previously demonstrated that these enriched PCa cell lines exhibit phenotypic characteristics associated with CSCs in vivo. Over-expression of the stem-associated CD133 biomarker was determined via flow cytometric analysis. Total RNA was isolated from CD133+ prostasphere-derived cells. Gene expression profiling was carried out using the nCounter NanoString system and three different CodeSets associated with cancer or stem cells. Functional annotation was performed using the over-representation analysis tool from ConsensusPathDB. Functional annotation analysis of upregulated transcripts suggests that prostasphere-derived cells undergo a transcriptional reprogramming that triggers a major phenotypic shift. These changes are similar to the mesenchymal shift associated with EMT that drives PCa progression to CRPC. Each cell line exhibited distinct expression profiles that are presented and analyzed individually. Furthermore, our analysis revealed over-represented pathways that were common to all cell lines, which are related to the MAPK/ERK, PI3K/AKT, Notch, and Wnt stem cell fate signaling networks. Transcriptional analysis of induced CSCs not only offers insight into their underlying pathophysiology, but can also be used as a platform for the discovery of therapeutic targets for CSC-specific intervention. In this contribution, we present a flexible in vitro platform for the identification of functionally relevant therapeutic targets, using cell samples with low numbers of malignant stem/progenitors that were enriched in vitro. This approach represents a novel and effective strategy that can be used in the development of therapeutic strategies, which could ultimately be tailored to the biology of individual patients. 22Rv1, DU145, LNCaP and PC3 prostasphere cultures were sampled on Day 4 (P 2), Day 8 (P 3) and Day 12 (P 4), and compared relative to parental monolayers on Day 0 of culture (P 1). Three independent measurements were carried out for monolayers at Day 0 using the CancerReference Kit. Day 12 prostaspheres were enzymatically dissociated and sorted via MACS using the Anti-CD133/2 (293C3)-PE Antibody (Miltenyi) into CD133+ and CD133- fractions. Total RNA was extracted from CD133+ cells and analyzed using the nCounter GX Cancer Reference kit, the Stem Cell panel and the custom made ITESM CodeSet from NanoString Technologies. This series contains the Cancer Reference kit data.

Project description:Cancer stem cells (CSCs) drive prostate cancer (PCa) progression and metastasis. These cells exhibit remarkable self-renewal, chemoresistant and invasive potentials, and are thought to participate in the changes in cellular architecture that lead to epithelial-to-mesenchymal transition (EMT). Conventional therapies fail to eliminate CSCs, which results in tumor recurrence and progression to castration resistant PCa (CRPC). Recent evidence suggests that castration itself can induce EMT, which could potentiate the âstemnessâ and number of CSCs within the tumor. Hence, there is an urgent need for EMT- and CSC-targeted therapies that could prevent progression to CRPC. 22Rv1, DU145, LNCaP, and PC3 cells were grown under sphere-forming conditions standardized in our lab. We have previously demonstrated that these enriched PCa cell lines exhibit phenotypic characteristics associated with CSCs in vivo. Over-expression of the stem-associated CD133 biomarker was determined via flow cytometric analysis. Total RNA was isolated from CD133+ prostasphere-derived cells. Gene expression profiling was carried out using the nCounter NanoString system and three different CodeSets associated with cancer or stem cells. Functional annotation was performed using the over-representation analysis tool from ConsensusPathDB. Functional annotation analysis of upregulated transcripts suggests that prostasphere-derived cells undergo a transcriptional reprogramming that triggers a major phenotypic shift. These changes are similar to the mesenchymal shift associated with EMT that drives PCa progression to CRPC. Each cell line exhibited distinct expression profiles that are presented and analyzed individually. Furthermore, our analysis revealed over-represented pathways that were common to all cell lines, which are related to the MAPK/ERK, PI3K/AKT, Notch, and Wnt stem cell fate signaling networks. Transcriptional analysis of induced CSCs not only offers insight into their underlying pathophysiology, but can also be used as a platform for the discovery of therapeutic targets for CSC-specific intervention. In this contribution, we present a flexible in vitro platform for the identification of functionally relevant therapeutic targets, using cell samples with low numbers of malignant stem/progenitors that were enriched in vitro. This approach represents a novel and effective strategy that can be used in the development of therapeutic strategies, which could ultimately be tailored to the biology of individual patients. 22Rv1, DU145, LNCaP and PC3 prostasphere cultures were sampled on Day 4 (P 2), Day 8 (P 3) and Day 12 (P 4), and compared relative to parental monolayers on Day 0 of culture (P 1). Three independent measurements were carried out for monolayers at Day 0 using the CancerReference Kit. were sampled Day 12 prostaspheres were enzymatically dissociated and sorted via MACS using the Anti-CD133/2 (293C3)-PE Antibody (Miltenyi) into CD133+ and CD133- fractions. Total RNA was extracted from CD133+ cells and analyzed using the nCounter GX Cancer Reference kit, the Stem Cell panel and the custom made ITESM CodeSet from NanoString Technologies. This series contains data for the ITESM CodeSet.

Project description:Cancer stem cells (CSCs) drive prostate cancer (PCa) progression and metastasis. These cells exhibit remarkable self-renewal, chemoresistant and invasive potentials, and are thought to participate in the changes in cellular architecture that lead to epithelial-to-mesenchymal transition (EMT). Conventional therapies fail to eliminate CSCs, which results in tumor recurrence and progression to castration resistant PCa (CRPC). Recent evidence suggests that castration itself can induce EMT, which could potentiate the âstemnessâ and number of CSCs within the tumor. Hence, there is an urgent need for EMT- and CSC-targeted therapies that could prevent progression to CRPC. 22Rv1, DU145, LNCaP, and PC3 cells were grown under sphere-forming conditions standardized in our lab. We have previously demonstrated that these enriched PCa cell lines exhibit phenotypic characteristics associated with CSCs in vivo. Over-expression of the stem-associated CD133 biomarker was determined via flow cytometric analysis. Total RNA was isolated from CD133+ prostasphere-derived cells. Gene expression profiling was carried out using the nCounter NanoString system and three different CodeSets associated with cancer or stem cells. Functional annotation was performed using the over-representation analysis tool from ConsensusPathDB. Functional annotation analysis of upregulated transcripts suggests that prostasphere-derived cells undergo a transcriptional reprogramming that triggers a major phenotypic shift. These changes are similar to the mesenchymal shift associated with EMT that drives PCa progression to CRPC. Each cell line exhibited distinct expression profiles that are presented and analyzed individually. Furthermore, our analysis revealed over-represented pathways that were common to all cell lines, which are related to the MAPK/ERK, PI3K/AKT, Notch, and Wnt stem cell fate signaling networks. Transcriptional analysis of induced CSCs not only offers insight into their underlying pathophysiology, but can also be used as a platform for the discovery of therapeutic targets for CSC-specific intervention. In this contribution, we present a flexible in vitro platform for the identification of functionally relevant therapeutic targets, using cell samples with low numbers of malignant stem/progenitors that were enriched in vitro. This approach represents a novel and effective strategy that can be used in the development of therapeutic strategies, which could ultimately be tailored to the biology of individual patients. 22Rv1, DU145, LNCaP and PC3 prostasphere cultures were sampled on Day 4 (P 2), Day 8 (P 3) and Day 12 (P 4), and compared relative to parental monolayers on Day 0 of culture (P 1). Three independent measurements were carried out for monolayers at Day 0 using the CancerReference Kit. Day 12 prostaspheres were enzymatically dissociated and sorted via MACS using the Anti-CD133/2 (293C3)-PE Antibody (Miltenyi) into CD133+ and CD133- fractions. Total RNA was extracted from CD133+ cells and were analyzed using the nCounter GX Cancer Reference kit, the Stem Cell panel and the custom made ITESM CodeSet (14 genes associated with prostate cancer) from NanoString Technologies. This series contains data for the Stem Cell panel.

Project description:Aims: We explore the role of elevated O2-:H2O2 ratio as a prosurvival signal in glioma-propagating cells (GPCs). We hypothesize that depleting this ratio sensitizes GPCs to apoptotic triggers. Results: We observed that elevated O2-:H2O2 ratio conferred enhanced resistance in GPCs, and depletion of this ratio by pharmacological and genetic methods sensitized cells to apopotic triggers. We established the ROS Index as a quantitative measure of normalized O2-:H2O2 ratio and determined its utility in predicting chemosensitivity. Importantly, mice implanted with GPCs of reduced ROS Index demonstrated extended survival. Analysis of tumor sections revealed effective targeting of CD133- and nestin-expressing neural precursors. Furthermore, we established the Connectivity Map to interrogate a gene signature derived from varied ROS Index for patterns of association with individual patient gene expression in 2 clinical databases. We showed that patients with reduced ROS Index demonstrate better survival. These data provide clinical evidence for the viability of our O2-:H2O2-mediated chemosensitivity profiles. Innovation and Conclusion: Gliomas are notoriously recurrent and highly infiltrative, and have been shown to arise from stem-like cells. We implicate elevated O2-:H2O2 ratio as a prosurvival signal in GPC self-renewal and proliferation. The ROS Index provides quantification of O2-:H2O2-mediated chemosensitivity, an advancement in a previously qualitative field. Intriguingly, glioma patients with reduced ROS Index correlate with longer survival and the Proneural molecular classification, a feature frequently associated with tumors of better prognosis. These data emphasize the feasibility of manipulating the O2-:H2O2 ratio as a therapeutic strategy. Total RNA from primary neurosphere culture of brain tumor specimens treated with DPI and DDC as well as non-treated CD133+ and CD133- fractions were compared. Specimens were obtained from 3 patients and replicate arrays were performed for all 3 neurosphere cultures.

Project description:Background: Molecular adaptations in the striatum mediated by dopamine (DA) denervation or Levodopa (L-dopa) treatment have been implicated with the motor deficits found in Parkinsonâs disease (PD). Alterations in glutamatergic neurotransmission and anti-oxidant mechanisms are reported to play important roles in mediating these changes. However, the mechanisms mediating the molecular adaptations in the striatum are not well understood. In recent years, microRNAs (miRNAs) have been recognized as potent post-transcriptional regulators of gene expression with fundamental roles in numerous biological processes. miRNAs are known to influence the development and maintenance of striatal neurons. To determine the contribution of miRNAs in molecular adaptations found in PD, we screened the expression of 800 miRNAs in postmortem striatum samples obtained from PD and neurologically normal controls. We detected the expression of approximately 250 miRNAs in postmortem human putamen samples collected from patients with PD and healthy controls. There was an abundance of a subset of 17 miRNAs (10 up- and 7 down-regulated) differing substantially between PD and the control, suggesting that miRNAs are altered in the striatum during the course of PD. Computational analysis show that many of these miRNAs targets pro-inflammatory factors in the striatum. Therefore, we sought to detrmine the expression of experimentally validated pro-inflammatory transcripts in PD striatum. Methods: Using a digital gene expression platform to quantify 134 gene transcripts, we compared human postmortem putamen tissues from patients with PD and neurologically normal controls. Results: We identified deregulated expression of 10 gene transcripts (4 up- and 6 down-regulated mRNAs) in postmortem human putamen samples collected fromPD patients compared to controls. The expression of these genes negative correlates with the expression of many of the differentially epxressed miRNAs. Moreover, many of these genes are predicted targets of the differentially expressed miRNAs. Conclusions: We identified deregulated mRNAs most likely associated with anti-oxidant mechanims in PD striatum. This approach may provide insights into pathogenesis of the disease. Human postmortem putamen tissues from 12 patients with PD symptoms and 12 neurologically normal controls were used in the study. Samples were obtained from the Human Brain and Spinal Fluid Resource Center, Los Angeles, CA through NIH NeuroBioBank, and stored at -80Â°C until RNA isolation. Total RNA was extracted using the mirVana RNA isolation kit, following the manufacturerâs instructions (Ambion). Using 225ng total RNA, mRNA levels were assayed by direct digital detection using Nanostring nCounter assay kits (Nanostring Technologies).

Dataset Information

Expression profiling of 22Rv1, DU145, LNCaP and PC3 prostasphere cultures at day 0, 4, 8 and 12

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