Similar Datasets
Project description:Inactivation of YAP1 in human bladder cancer cell (UC3)
| PRJNA772185 | ENA
Project description:This project seeks to determine if there is a difference in expression between bladder cancer cells vs NDV-resistant bladder cancer cells.This result provides insight of the orchestrated transcriptomic changes that occur in the development and maintenance of NDV persistency of infection, which can be an useful resource for future downstream analysis of the identified targets.
2020-12-28 | GSE163881 | GEO
Project description:At diagnosis approximately 75% of bladder urothelial carcinomas are non muscle invasive bladder cancers (Ta, T1 and Tis), 20% are muscle invasive bladder cancer (T2-T4) and 5% are already metastatic. Non muscle invasive bladder cancers are characterized by tumor recurrence in 60% to 85% of cases and, therefore, long-term followup is needed. The current standard methods to detect and monitor bladder cancer are cystoscopy and cytology. Cystoscopy is an invasive method and cytology is hampered by low sensitivity, especially for low grade tumors. So there is need to develop reliable and noninvasive methods to detect and predict bladder cancer biological behavior. So we have performed high density oligonucleotide microarray for discovery of new molecular markers to diagnose and predict the outcome of bladder cancer. Under an ethical guideline of Chhatrapati Shahuji Maharaj Medical University, India histologically confirmed seven bladder cancer patients were recruited from Department of Urology, Chhatrapati Shahuji Maharaj Medical University, Lucknow, India. Total RNA was extracted from tumor biopsies and hybridized on affymetrix Human Gene ST 1.1 array to determine differentially expressed genes in urinary bladder cancer with muscle invasion in comparison of normal human urinary bladder.
2012-02-22 | E-GEOD-23732 | biostudies-arrayexpress
Project description:We hypothesized that ETV5 may be a mediator of the oncogenic effects of mutant FGFR3 in bladder cancer cells ETV5 was silenced by shRNA in the bladder cancer cell line 97-7 to investigate effect on phenotype. To identify downstream gene targets of ETV5 we compared gene expression profiles in silenced and control cells.
2018-11-09 | GSE122306 | GEO
Project description:Characterization of the gene expression profiles of specific cell populations of the human urinary bladder provides an important set of research tools for the study of cellular differentiation and the cancer process. The transcriptome is a definitive identifier of each individual cell types. Surgically resected tissue was digested by collagenase and the different cell types were sorted by antibodies to cluster designation (CD) cell surface antigens. The sorted cells were analyzed by DNA microarrays. The transcriptome datasets were analyzed for differentially expressed genes and plotted on a principal components analysis space for cell lineage relationship. The following bladder cell types were analyzed: CD9+ urothelial, CD104+ basal, CD13+ stromal of lamina propria, CD9+ urothelial carcinoma cancer, and CD13+ urothelial carcinoma-associated stromal. Gene expression differences between the cell types of tumor and their respective non-cancer counterpart provide biomarker candidates. Basal cells of the bladder and prostate, although sharing CD cell surface markers, are quite different in overall gene expression. Furthermore, these cells lack transcript features of stem cell signature of embryonic stem or embryonal carcinoma cells. Cell type-specific transcriptomes are more informative than bulk tissue transcriptomes. The relatedness of different cell types can be determined by transcriptome dataset comparison. Bladder cell types were sorted from tissue specimens, and analyzed by DNA microarrays. The various transcriptomes were compared by principal components analysis for cell lineage relationship.
2011-07-09 | E-GEOD-30522 | biostudies-arrayexpress
Project description:We performed RNA-seq analysis on xenograft mouse model generated by T24 human bladder cancer cell line with enforced expression of DDR1 or controls.
2022-10-19 | GSE191097 | GEO
Project description:Neuroendocrine bladder cancer is an aggressive variant of bladder cancer with significant metastatic potential and high risk of mortality. Diagnosis of these tumors is currently dependent on morphological criteria and staining for neuroendocrine markers. Using machine learning and multiple validation cohorts in different clinical settings, we developed a model that identifies tumors with transcriptomic profiles consistent with NE bladder cancers with an absence of NE features by morphological criteria. Early and accurate identification of these patients by genomic analysis may improve outcomes through treatment intensification and adaptation of standard treatment regimens.
2019-03-23 | GSE128702 | GEO
Project description:At diagnosis approximately 75% of bladder urothelial carcinomas are non muscle invasive bladder cancers (Ta, T1 and Tis), 20% are muscle invasive bladder cancer (T2-T4) and 5% are already metastatic. Non muscle invasive bladder cancers are characterized by tumor recurrence in 60% to 85% of cases and, therefore, long-term followup is needed. The current standard methods to detect and monitor bladder cancer are cystoscopy and cytology. Cystoscopy is an invasive method and cytology is hampered by low sensitivity, especially for low grade tumors. So there is need to develop reliable and noninvasive methods to detect and predict bladder cancer biological behavior. So we have performed high density oligonucleotide microarray for discovery of new molecular markers to diagnose and predict the outcome of bladder cancer.
2012-02-22 | GSE23732 | GEO
Project description:In this research, Human OneArray Microarray analysis was performed to obtain broad spectrum information about the genes differentially expressed in human bladder cancer cell line RT112 and Gemcitabine Resistant Bladder Cancer cell line RT112-Gr.
2015-04-16 | E-MTAB-3495 | biostudies-arrayexpress
Project description:The general aim is to provide knowledge of transcriptomic profiles of the developing urinary bladder in order to shed light on gene expression important in the mechanisms behind the developmental defects of bladder exstrophy. Human bladder tissues and gential tissues, as control samples, were surgically removed from terminated fetuses after informed consent and ethical approval. Gene expression data were extracted and analysed after high throughput sequencing of paired-end mRNA libraries (Illumina).
2019-01-01 | E-MTAB-6592 | biostudies-arrayexpress