Browse
Submit Data
Databases
API
Help

Dataset Information

0 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

Microbiome of Human Bladder Cancer

ABSTRACT: Microbiome of Human Bladder Cancer Raw sequence reads

PROVIDER: PRJNA494288 | ENA |

REPOSITORIES: ENA

ACCESS DATA

Json Xml

Dataset's files

Source:

			Action	DRS
	SRR8254531.fastq.gz	Fastqsanger.gz
	SRR8254532.fastq.gz	Fastqsanger.gz
	SRR8254533.fastq.gz	Fastqsanger.gz
	SRR8254534.fastq.gz	Fastqsanger.gz
	SRR8254535.fastq.gz	Fastqsanger.gz

Items per page:

1 - 5 of 9

Similar Datasets

High-throughput RNA sequencing on circular RNA profiles of human bladder cancer tissues and normal bladder tissues

Project description:In order to find out circular RNAs profiles in human bladder cancer tissues and normal bladder tissues, we characterized circuclar RNA transcripts by performing RNA-Seq on ribosomal RNA-depleted total RNA from three pairs of human bladder cancer tissues and paired normal bladder tissues.A computational pipeline based on the anchor alignment of unmapped reads was used to identify circular RNAs. Collectively, we identified16,535 distict circular RNAs, most of them origined from exons (88.96%), others from introns, linc RNA, intergenic region, 3’UTR and 5’UTR. Among all these circRNAs, 571 circRNAs were differentially expressed between bladder cancer tissues and normal bladder tissues, and 524 circRNAs were downregulated in bladder cancer tissues (91.2%), others were upreguluated. These significantly differential expressed circular RNA might have regulatory function in bladder cancer, and worth to be further explored.

2017-08-04 | GSE97239 | GEO

Whole genome expression data from human urinary bladder cancer

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

Gene Expression of human bladder cancer cell line RT112 and Gemcitabine Resistant Bladder Cancer cell line RT112-Gr

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

Bladder microbiome

Project description:The Local Microbiome Following Pediatric Bladder Augmentation

| PRJEB24640 | ENA

Human bladder cancer cell line mRNA-seq

Project description:Human bladder cancer cell line mRNA-seq

| PRJNA564038 | ENA

human microbiome

Project description:human microbiome Raw sequence reads

| PRJNA613688 | ENA

Proteomic analysis of the invasiveness of human bladder cancer cells

Project description:To identification of key drivers involved in the development of muscle invasive bladder cancer, which displays poor prognosis, we isolated one subpopulation of human 5637 bladder cancer cells with highly invasiveness and the other subpopulation of 5637 cells with low invasiveness by Transwell method. Through proteomic analysis, differentially expressed proteins were displayed.

2018-08-27 | MSV000082854 | MassIVE

Proteomic analysis of the invasiveness of human bladder cancer cells

2018-03-15 | PXD007709 | Pride

Transcriptomes of human bladder cells and cells in bladder cancer

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

urine of bladder cancer and controls

Project description:urine of bladder cancer and controls Raw sequence reads

| PRJNA486651 | ENA