Ontology highlight
ABSTRACT:
PROVIDER: PRJNA551281 | ENA |
REPOSITORIES: ENA
Dataset's files
| Action | DRS | |||
|---|---|---|---|---|
| SRR9598440_1.fastq.gz | Fastqsanger.gz | |||
| SRR9598440_2.fastq.gz | Fastqsanger.gz | |||
| SRR9598450_1.fastq.gz | Fastqsanger.gz | |||
| SRR9598450_2.fastq.gz | Fastqsanger.gz | |||
| SRR9598460_1.fastq.gz | Fastqsanger.gz |
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Project description:We used Xenium In Situ assay with a custom probe panel to visualize a human bladder cross-section. The custom probe panel contains probe sets against bladder cell type marker genes and RNA isoforms to enable cell identification. We detected 33 distinct cell groups consisted of urothelial cell states, immune cells, and various stromal cell types.
2025-12-19 | GSE297459 | GEO
Project description:Activation of oncogenic ras pathway accounts for up to 90% low-grade superficial urothelial carcinomas of bladder, and p53 deficiency is very common in high-grade muscle invasive carcinomas. These two pathways in bladder urothelial tumorigenesis used to be considered divergent and their potential collaboration has not been illustrated. We did laser capture micro-dissection (LCM) to separate the tumor cells from the whole bladder tissues from H-ras transgenic and p53 knockout mice, as well as normal urothelial cells as control. Microarray was then performed to identify distinct classes of up-regulated genes during tumorigenesis and progression. In order to get the gene expression profiles of carcinoma in situ (CIS), muscle invasive tumors and normal cells, we used LCM to purify the cells from mixture of different types of cells, and then extracted RNA for microarray. There are three groups applied in microarray, which are normal cells as control, CIS (tumor genesis) and invasive tumors (tumor progression).
2015-01-08 | E-GEOD-64756 | biostudies-arrayexpress
Project description:Thiele2013 - Urinary bladder urothelial cells
The model of urinary bladder urothelial cells metabolism is derived from the community-driven global reconstruction of human metabolism (version 2.02, MODEL1109130000
).
This model is described in the article:
A community-driven global reconstruction of human metabolism.
Thiele I, et al
.
Nature Biotechnology
Abstract:
Multiple models of human metabolism have been reconstructed, but each represents only a subset of our knowledge. Here we describe Recon 2, a community-driven,
consensus 'metabolic reconstruction', which is the most comprehensive representation of human metabolism that is applicable to computational modeling. Compared
with its predecessors, the reconstruction has improved topological and functional features, including ~2x more reactions and ~1.7x more unique metabolites. Using
Recon 2 we predicted changes in metabolite biomarkers for 49 inborn errors of metabolism with 77% accuracy when compared to experimental data. Mapping metabolomic
data and drug information onto Recon 2 demonstrates its potential for integrating and analyzing diverse data types. Using protein expression data, we automatically
generated a compendium of 65 cell type-specific models, providing a basis for manual curation or investigation of cell-specific metabolic properties. Recon 2 will
facilitate many future biomedical studies and is freely available at http://humanmetabolism.org/.
This model is hosted on BioModels Database
and identified by: MODEL1310110035
.
To cite BioModels Database, please use: BioModels Database: An enhanced,
curated and annotated resource for published quantitative kinetic models
.
To the extent possible under law, all copyright and related or neighbouring rights to this encoded model have been dedicated to the public domain worldwide. Please refer
to CC0 Public Domain Dedication
for more information.
2005-01-01 | MODEL1310110035 | BioModels
Project description:We reported a comprehensive proteogenomics analysis, including whole-genome sequencing, RNA sequencing, and proteomics and phosphoproteomics profiling, of 448 trace-tumor-samples from 190 urothelial bladder neoplasm patients, covering the whole spectrum of disease stages and grades. DNA damage was a key signaling pathway in the progression of carcinoma in situ (CIS) and related to APOBEC signature. Proteogenomic integration analysis indicated the mutation of HRAS regulated mTOR signaling to form urothelial papilloma rather than papillary urothelial cancer (PUC). Glucolipid metabolism increase and lower immune cell infiltration were significantly associated with PUC compared to CIS. Proteomic analysis distinguished the origins of invasive tumors (PUC-derived and CIS-derived), related to distinct clinical prognosis and molecular features. Additionally, loss of RBPMS, associated with CIS-derived tumors, was validated to increase the activity of SMAD-bound JUN and promote metastasis.
2023-08-02 | PXD043775 |
Project description:Objectives: Much of the information to date in terms of subtypes and function of bladder urothelial cells were derived from anatomical location or by the expression of a small number of marker genes. To have a comprehensive map of the cellular anatomy of bladder urothelial cells, we performed single-cell RNA-sequencing to thoroughly characterize mouse bladder urothelium. Materials and methods: A total of 18,917 single cells from mouse bladder urothelium was analyzed by unbiased single-cell RNA sequencing. The expression of the novel cell marker was confirmed by immunofluorescence using urinary tract infections models. Results: Unsupervised clustering analysis identified 8 transcriptionally distinct cell subpopulations from mouse bladder urothelial cells. We discovered a novel type of bladder urothelial cells marked by Plxna4 that may be involved with host response and wound healing. We also found a group of basal-like cells labeled by ASPM that could be the progenitor cells of adult bladder urothelium. ASPM+ urothelial cells are significantly increased after injury by UPEC. In addition, specific transcription factors were found to be associated with urothelial cell differentiation. At the last, a number of interstitial cystitis/bladder pain syndrome-regulating genes were found differentially expressed among different urothelial cell subpopulations. Conclusions: Our study provides a comprehensive characterization of bladder urothelial cells, which is fundamental to understanding the biology of bladder urothelium and associated bladder disease.
2020-12-12 | GSE163029 | GEO
Project description:The presence of carcinoma in situ (CIS) lesions in the urinary bladder is associated with a high risk of disease progression to a muscle invasive stage. In this study, we used microarray expression profiling to examine the gene expression patterns in superficial transitional cell carcinoma (sTCC) with surrounding CIS (13 patients), without surrounding CIS lesions (15 patients), and in muscle invasive carcinomas (mTCC; 13 patients). Hierarchical cluster analysis separated the sTCC samples according to the presence or absence of CIS in the surrounding urothelium. We identified a few gene clusters that contained genes with similar expression levels in transitional cell carcinoma (TCC) with surrounding CIS and invasive TCC. However, no close relationship between TCC with adjacent CIS and invasive TCC was observed using hierarchical cluster analysis. Expression profiling of a series of biopsies from normal urothelium and urothelium with CIS lesions from the same urinary bladder revealed that the gene expression found in sTCC with surrounding CIS is found also in CIS biopsies as well as in histologically normal samples adjacent to the CIS lesions. Furthermore, we also identified similar gene expression changes in mTCC samples. We used a supervised learning approach to build a 16-gene molecular CIS classifier. The classifier was able to classify sTCC samples according to the presence or absence of surrounding CIS with a high accuracy. This study demonstrates that a CIS gene expression signature is present not only in CIS biopsies but also in sTCC, mTCC, and, remarkably, in histologically normal urothelium from bladders with CIS. Identification of this expression signature could provide guidance for the selection of therapy and follow-up regimen in patients with early stage bladder cancer. Experiment Overall Design: See publication
2007-11-28 | E-GEOD-3167 | biostudies-arrayexpress
Project description:Screening for urinary bladder cancer was performed in dogs in a breed (Scottish Terriers) with a very high inherited risk for bladder cancer. Naturally-occurring urothelial carcinoma in dogs serves as a relevant model for muscle invasive bladder cancer in humans. Urothelial carcinoma was detected in dogs with no outward evidence of the cancer. RNAseq data analyses were performed on these "early" tumors, and the sequencing files are included here. RNA-seq data from additional dogs has been deposited in the NCI Integrated Canine Data Commons (ICDC UBC02).
2025-03-23 | GSE199292 | GEO
Project description:Inverted papilloma (IP) of the urinary bladder is a relatively rare neoplasm that accounts for < 1% of bladder tumor. Although generally accepted as a benign lesion, occasional reports of IP admixed with urothelial carcinoma (UC) or IP patients with synchronous or metachronous UC have raised a concern in the biologic potential of IP.
2022-05-20 | PXD027602 | Pride
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:The aim of this study was to use NGS RNAseq deep-sequencing in order to characterize the polyadenylated mRNAs and lncRNAs expressed in LNCaP cells treated with androgen hormone compared with untreated LNCaP cells (GSE79301). Trimmed reads were mapped using the hg19 genome with TopHat v.2.0.12 and Bowtie v.2.2.3. The assembly was guided by a custom GTF file created with transcripts fromhuman lncRNA annotations from GENCODE v19 (Harrow, Frankish et al.2012) and those already annotated as lincRNAs in (Cabili, Trapnell et al. 2011; Prensner, Iyer et al. 2011; Hangauer, Vaughn et al. 2013). The diferencial expression was calculated by the sum of exon read count per gene with HTSeq (Anders, Pyl et al. 2015), followed by a DESeq2 analysis (Love, Huber et al. 2014).
2017-12-31 | GSE102305 | GEO