Project description:Promotor methylation status of Side Population cells of DLBCL cell line OCI Ly3 was compared to non Side Population Cells of OCI Ly3 DLBCL Cell Line OCI Ly3 was cultured and stained using Hoechst33342. FACS analysis showed a distinct Side Population. Side Population Cells and non Side Population cells were sorted, gDNA was extracted and Methylation analysis was performed using Illumin 27k Bead Array.
Project description:Gene expression profile OCI Ly3 Side Population Cells vs non Side Population OCI Ly3 cells were cultured and stained with Hoechst33342. FACS analysis identified a distinct Side Population. Side Population Cells were sorted separatly from nonSide Population cells. We used microarray analysis to identify differentialy expressed genes.
Project description:To identify the potential ovarian cancer stem cell gene expression profile from isolated side population of fresh ascites obtained from women with high-grade advanced stage papillary serous ovarian adenocarcinoma Microarrays were used to interrogate the differentially expressed genes between side population (SP) and main population (MP) isolated from fresh ascites obtained from women with high-grade advanced stage papillary serous ovarian adenocarcinoma, and the results were analyzed by paired T-test using BRB-ArrayTools Gene expression profiling was completed for 10 SP and MP pairs using the Affymetrix human U133 Plus 2.0 Arrays
Project description:Anthocyanins and flavonols are natural compounds that accumulate preferentially in grapevine flowers and fruits. They are among the most abundant flavonoids and play a very important role in grape and wine quality. In particular, they confer and stabilize colour and contribute to other organoleptic characteristics of the final product. Their complex profile in terms of concentration and relative abundance varies among cultivars and makes wine typicity. The synthesis of these compounds is mainly regulated at transcriptional level. Flavonoids accumulate at specific stages and in specific tissues during flower and berry development, as a consequence of the timely expression of the genes necessary for their synthesis. Although the general flavonoid pathway has been genetically and biochemically elucidated and the main determinants of colour have been identified, the molecular reasons of the fine variation among grape cultivars are still not completely understood. To shed light on this issue, extreme genotypes of a segregating population derived from the cross Syrah x Pinot Noir were characterized at transcriptional level. The transcriptome analysis along three berry developmental stages of these genotypes has allowed the identification of a large set of transcripts differentially modulated between the two groups. A population derived from M-bM-^@M-^XSyrahM-bM-^@M-^Y x M-bM-^@M-^XPinot NoirM-bM-^@M-^Y consisting of 170 F1 individuals plus the parental lines was characterized for the content of flavonols and anthocyanins in the skins of mature berries (38E-L; 18M-BM-0Brix). Based on the biochemical data, 4 high- and 4 low-flavonol producers (HFPs and LFPs: F1 16, F1 56, F1 63, F1 223 and F1 64, F1 256, F1 260, PN), two of which having also either very high or very low anthocyanin content (HAPs and LAPs: F1 63, F1 223 and F1 256, F1 260), were selected for gene expression analysis. A representative sample for each individual (one biological replicate) was collected at three berry developmental stages (hard green berry (33E-L, PV), veraison (35E-L, 50% coloured berries, VER) and maturity (38E-L, 18M-BM-0Brix, MAT)) during the 2007 season.
Project description:Purpose: To explore the side population (SP) in pancreatic ductal adenocarcinoma (PDAC) for its gene expression profile and its association to cancer stem cells (CSC) and to evaluate the value of genes from its gene signature on patient survival. Experimental design: Side and main population (MP) cells were isolated from 11 human PDAC resection specimens using fluorescence-activated cell sorting (FACS) after Hoechst incubation. Total RNA was extracted for whole-genome analysis. A gene signature for the purified SP (pSP; depleted from immune/endothelial CD45+/CD31+ cells) was developed and validated with the nCounter system on expression data of 78 primary PDAC using Cox regression analyses for disease-free and overall survival. Results: An SP was identified in all PDAC samples. Whole-genome expression profiling of pSP revealed upregulation of genes related to therapy-resistance and of CSC-associated genes and pathways. A pSP signature of 32 up- or downregulated genes was capable of discriminating SP from MP in an independent set of 10 PDAC samples, and some contributing genes had a prognostic value in a separate series of 78 patients who underwent surgery for PDAC. Conclusion: Pancreatic cancer contains an SP with chemo-resistant and CSC-associated molecular characteristics. Genes from a newly defined pSP gene signature are related to survival of patients who undergo surgical resection for pancreatic cancer, and might therefore represent potential therapeutic targets. Microarray analysis was performed on SP and MP samples from 11 different human PDAC samples.
Project description:Although extensive studies have demonstrated the gene expression patterns of antigen-specific CD4+ and CD8+ T-cells during chronic hepatitis C virus (HCV) infection, the transcriptional profiles of global CD4+ and CD8+ T-cells remains unclear. In this report, we recruited 10 long-term (~20 years) treatment-naM-CM-/ve chronic HCV (CHC) patients and 5 healthy donors (HDs) to investigate differences in global CD4+ and CD8+ T-cells gene expression profile. Global CD4+ and CD8+ T-cells showed unique transcriptional profiles in the expression of apoptosis-related genes. We identified BCL2, PMAIP1, and CASP1 in CD4+ T-cells and IER3 and BCL2A1 in CD8+ T-cells from CHC patients as HCV-specific gene signatures. The unique apoptosis-related gene expression profilesin global CD4+ and CD8+ T-cells programmed by chronic HCV infection seemed to enhance activation-induced apoptosis, which was suffered by global CD4+ and CD8+ T-cells. We obtained 15 blood samples to identify the gene expression signatures of global CD4+ and CD8+ T-cells due to chronic HCV infection. The samples included: 5 samples from high HCV viral load patients (HCV-h), 5 samples from low HCV viral load (HCV-l) and 5 samples from healthy donors (HD). HCV patients were all Ab+ and treatment-naive prior to the study. Samples were taken once from each individual. Global CD4+ and CD8+ T-cells were enriched by microbeads, and total RNA were used in gene chip analysis.
Project description:The mucosal penetration area formed by implant placement is critical problems of dental implant treatment, because epithelial barrier is broken and it can become a source of inflammation. To clarify the influence and risk caused by dental implant treatment in peri-implant soft tissue, we compared to gene expression profile of peri-implant soft tissue and oral mucosal tissue with microarray analysis. Both side upper first molars of 4 week-old rat were extracted, and titanium alloy implants were placed only in the left extraction socket. Four weeks after surgery, samples were harvested from left side of peri-implant soft tissue and right side of oral mucosal tissue.
Project description:The classical sacrococcygeal chordoma tumor presents with a typical morphology of lobulated myxoid tumor tissue with cords, strands and nests of tumor cells consisting of small non-vacuolated cells, intermediate cells with a wide range of vacuolization and large heavily vacuolated (physaliferous) cells. Because of its rare incidence, lack of suited model systems and technical limitations analysis was only performed on bulk tumor mass neglecting its heterogeneous composition. We aimed at elucidating the differences between small non-vacuolated and large physaliferous cells on the genomic and transcriptomic level. Secondly, we intended to clarify whether the observed cell types are derived from genetically distinct clones or rather represent different phenotypes. Using the chordoma cell line MUG-Chor1 we monitored morphological changes via time lapse experiments. We isolated pure fractions of each phenotype by means of laser microdissection or micromanipulation allowing phenotype-specific analysis. Pools of 100 cells each were genetically profiled after whole genome amplification by array comparative genomic hybridization. For expression analysis 20 cells each were subjected to whole transcriptom amplification, forwarded to RNA microarray analysis and qRT-PCR. Time lapse analysis unveiled small non-vacuolated cells to develop into large physaliferous cells via intermediate cells containing an increasing amount of vacuoles. Furthermore, we showed small and large physaliferous cells to proliferate at the same rate but intermediate cells to be the most proliferating cell phenotype. Small non-vacuolated and large physaliferous cells showed identical copy number variations. Despite their obvious morphological disparities we detected only modest changes in over all gene expression. However, verification of candidate genes yielded significant up-regulation of ALG11 (700-fold), PPP2CB (18.6-fold), and UCHL3 (18.7-fold) in large physaliferous cells. Of two different cell types (large and small MUG-Chor1 cells) we analysed each in triplicates. In total 6 cell pools were analysed.
Project description:Differentiation of epithelial cells is strongly affected by transcription factors related to epithelial to mesenchymal-like progression. We used gene expression profiling to identify genes that are differentially regulated upon repression of the transcription factor Zeb1 (deltaEF1/Areb6). NM18 cells were transfected with non-silencing siRNA (ns-siRNA) or siRNA targeting Zeb1 (Zeb1 siRNA) for 48h. Experiments were performed as independent biological triplicate. Three non-silencing siRNA samples (GSM1322708, GSM1322709, and GSM1322710) were originally deposited in Series GSE54715. The samples were reanalyzed with the Zeb1 siRNA samples and the data is linked at the bottom of the Series record.
Project description:Thermal injury incites inflammatory responses that often transcend the local environment and lead to structural deficiencies in skin that give way to scar formation. We hypothesized that extensive perturbations within burned skin following thermal insult and during subsequent events of wound repair induce vast alterations in gene expression that likely serve as a wound and systemic healing deterrent. A high-throughput microarray experiment was designed to analyze genetic expression patterns and identify potential genes to target for therapeutic augmentation or silencing. The study compares gene expression from burn wound margins at various times following thermal injury to expression observed in normal skin. Utilizing this design, we report that the totality of gene expression alterations is indeed enormous. Further, we observed that the differential expression of many inflammatory and immune response genes appear to be continually up-regulated in burn wound margins seven days or more after initial thermal insult. As it is well established that the inflammatory process must abate for wound healing to proceed, the finding of ongoing local inflammation is cause for further investigation. To our knowledge, this is the first report of the gene expression alterations induced by thermal injury of human skin. As such, it provides a wealth of data to mine with the ultimate goal of better understanding the local pathophysiologic changes at the site of thermal injury that not only affect wound healing capacity, but may also contribute to systemic derangements within the burn patient. Keywords: time course, disease state analysis The study compares gene expression from burn wound margins at various times following thermal injury to expression observed in normal skin. All skin specimens were obtained in the operating room within minutes of being removed from the patient. Burn specimens were taken from wound margins. Harvested tissue at the burn wound margin maximized the capture of viable cells from the multiple lineages important to the healing process and minimized the inclusion of non-viable cells destroyed by full-thickness injury. After isolation, RNA samples were pooled equally by mass as to contain RNA from 5 tissue specimens for each array replicate.