Human bladder cancer cell line mRNA-seq
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ABSTRACT:
PROVIDER: PRJNA564038 | ENA |
REPOSITORIES: ENA
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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:Human bladder cancer cell line high throughput sequencing
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Project description:Homo sapiens T24 human bladder cancer cell line Transcriptome
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Project description:Circular RNAs (circRNAs) have been increasingly indicated to be important participants in the development and progression of various malignant tumors. Our previous studies found that hundreds of circRNAs were aberrantly expressed in bladder cancer (BC) by high-throughput sequencing and we have confirmed that the downregulated circRNAs circHIPK3, BCRC3 and circNR3C1 played inhibitory roles in BC progression. However, the role of these upregulated circRNAs remain to be clarified. In this study, we analyzed circRNA high-throughout sequencing from human tissues and focused on the upregulated circRNAs and identified a novel circular RNA, hsa_circ_0001361 (also named bladder cancer upregulated circRNA-1, BCUC-1), as a new candidate circRNA derived from FNDC3B gene. The expression levels of circRNA and miRNAs in BC tissues and cells were detected by qRT-PCR. Transwell migration, Matrigel invasion, CCK-8, EdU, cell cycle and in vivo tumor metastasis assays were preformed to evaluate the effects of circ0001361 on BC cells. Transcriptome analysis was performed to find the potential genes that could be regulated by BCUC-1. Luciferase reporter, RNA pull-down and fluorescence in situ hybridization (FISH) assays were applied to verify the interaction between BCUC-1 and miR-491-5p.
2019-09-06 | GSE136919 | GEO
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: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:Bladder cancer (BCa) is one of the most common malignancy of the urinary tract. In order to improve the diagnosis, prevention and treatment of BCa, the details of molecular mechanisms underlying the tumorigenesis and development needs to be clarified. Results provide insight into molecular mechanisms underlying the mRNA and miRNA interactions in BCa. 3 human bladder cancer tissues and 3 normal bladder tissues were analyzed using microarray. The alteration of mRNA and miRNA expression between the 2 groups were detected.
2017-02-22 | GSE76211 | GEO
Project description:Cancer development is complicated, it invloves a series of gene expression change. As demonstrated in several reports, HP1γ is upregulated in some types of cancer, and it is essential for cancer development.We want to further clarify HP1γ function in bladder cancer. We used microarrays to determine the gene expression profile in bladder cancer cell line T24 with depletion of HP1γ.
2020-02-20 | GSE95400 | GEO
Project description:Background: MicroRNAs (miRNAs) are small non-coding RNAs that regulate gene expression. Their abilyty to affect multiple gene pathways by targeting to various mRNAs makes them to an interesting class of regulators. The interplay between miRNA and mRNA has been proposed as an important process in cancer development and progression. In this study, we analyzed miRNA -mRNA interactions in bladder urothelial carcinoma. Methodology/Principal Findings: We have developed a new algorithm which is capable of identifying altered miRNA-mRNA regulation between tissues samples without preexisting stratification of groups. Microarray expression profiling of both miRNA and mRNA from the same sample were performed using a collective of 24 urothelial carcinoma and normal bladder tissue samples. Using our approach, normal and tumor tissue samples as well as different stages of tumor progression were successfully stratified. Also, we were able to analyzed individual miRNA-mRNA interactions from each patient, focusing on different miRNA families. Conclusions: Just recently, the need for tools that allow an integrative analysis of microRNA and mRNA expression data has been addressed. With this study, we provide an algorithm that considers the special nature of miRNA induced regulation and shows good specificities and sensitivities when applied to bladder cancer expression data. mRNA and microRNA expression data were analyzed together to identify bladder cancer specific micoRNA-mRNA interaction
2013-08-24 | E-GEOD-40355 | biostudies-arrayexpress
Project description:The H3K27me3 ChIP-seq data for the human bladder transitional cell carcinoma cell line CL1207 were generated in order to detect regions of regional epigenetic silencing in this cell line and test the performance of several peak calling tools: CCAT (Xu et al., 2010) and HMCan (Ashoor et al., "HMCan M-bM-^@M-^S a tool to detect chromatin modifications in cancer samples using ChIP-seq data", submitted). The human bladder cancer cell line CL1207 was derived from a muscle-invasive bladder cancer (De Boer et al., 1997). 5x105 cells were immunoprecipitated per ChIP assay with 4 M-NM-<g of rabbit polyclonal antibodies against trimethyl histone H3 lysine 27 (Upstate Biotechnology, Santa Cruz, CA) and DynabeadsM-BM-. Protein A (Invitrogen, Cergy Pontoise, France) in dilution buffer containing 1% Triton X-100, 150 mM NaCl, 2 mM EDTA, 20 mM TrisM-bM-^@M-^SHCl at pH 8.0, and protease inhibitors. Six ChIP assays in the same experimental conditions were necessary to perform one ChIP-Seq experiment, so the total of 3x106 cells for each of the duplicates.
2014-01-07 | E-GEOD-44438 | biostudies-arrayexpress