Whole genome sequencing of bladder cancer cell lines
Ontology highlight
ABSTRACT:
PROVIDER: PRJEB36417 | ENA |
REPOSITORIES: ENA
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Project description:Bladder cancer is among the five most common malignancies worldwide, and it is the second most common tumor of the genitourinary tract and the second most common cause of death in patients with genitourinary tract malignancies. To identify target genes of human bladder cancer, five cell lines were subject to Agilent whole genome microarray.
2010-01-05 | GSE19716 | GEO
Project description:40 bladder cancer cell lines were profiled with their genome-wide gene expression patterns using Affymetrix HG-U133A chips. Keywords: bladder cancer cell line expression profiling
2009-08-26 | GSE5845 | 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: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:Genomic rearrangements involving different chromosome translocation in bladder cancer cell lines and in primary tumor samples DNA extracted from 3 Bladder Cancer Cell lines (SW1710, JON, RT-4), and 1 bladder cancer (372C) in T3 Tumor stage and Grade 3 primary sample, were processed, Cy5 labeled and hybridized on Agilent CGH Arrays. As control DNA we used Cy3 labeled probes prepared starting from a pool of female DNA obtained mixing the DNA extracted from 20 healthy donors.
2013-06-28 | E-GEOD-30754 | biostudies-arrayexpress
Project description:We profile the cell line expression of 279 circRNAs, that are highly expressed across 457 bladder cancer patient samples. Additionally, we investigate their cellular location in fractionated cell lines
2017-11-01 | GSE100971 | GEO
Project description:UBC9 knockdown in bladder cancer T24 cell lines
| PRJNA481271 | ENA
Project description:Genomic rearrangements involving different chromosome translocation in bladder cancer cell lines and in primary tumor samples
2013-06-28 | GSE30754 | GEO
Project description:We have previously characterized two groups of bladder cancer cell lines based on their dependence on Hedgehog signaling for survival. Here, we examined the global gene expression in these cells. By comparing the gene expression profile within and between these two groups of cells, we identified list of genes and pathways that potentially account for their dependence on Hedgehog signaling, and specifically a gene signature for those cells more dependent to HH signaling for proliferation. We analized four different bladder cancer cell lines: J82, HT1376, T24, and Vmcub1. We performed triplicates of each sample, and completed a Hierarchical Condition Clustering, a Principal Component Analysis, and we also applied statistical analysis to identify genes that are differentially expressed between the different cell lines. We also put these lists of statistically significant genes into a biological context by performing Pathway Analysis.
2012-12-31 | E-GEOD-28255 | biostudies-arrayexpress
Project description:40 bladder cancer cell lines were profiled with their genome-wide gene expression patterns using Affymetrix HG-U133A chips. Experiment Overall Design: Total RNA sample of each of the 40 cell lines was obtained before the treatment of any anticancer compound.
2009-09-15 | E-GEOD-5845 | biostudies-arrayexpress