Browse
Submit Data
Databases
API
Help

Dataset Information

0 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

Single-cell analysis of human primary prostate cancer reveals the heterogeneity of tumor-associated epithelial cell states

ABSTRACT: Single-cell analysis of human primary prostate cancer reveals the heterogeneity of tumor-associated epithelial cell states

PROVIDER: PRJNA734614 | ENA |

REPOSITORIES: ENA

ACCESS DATA

Json Xml

Dataset's files

Source:

			Action	DRS
	SRR14713000_1.fastq.gz	Fastqsanger.gz
	SRR14713000_2.fastq.gz	Fastqsanger.gz
	SRR14713001_1.fastq.gz	Fastqsanger.gz
	SRR14713001_2.fastq.gz	Fastqsanger.gz
	SRR14713002_1.fastq.gz	Fastqsanger.gz

Items per page:

1 - 5 of 103

Similar Datasets

Single-cell analysis of human primary prostate cancer reveals the heterogeneity of tumor-associated epithelial cell states

Project description:Methods: To characterize the prostate cancer tumor microenvironment, we performed single-cell RNA-sequencing on prostate biopsies, prostatectomy specimens, and patient-derived organoids from localized prostate cancer patients. Results: We identify a population of tumor-associated club cells that could be associated with prostate carcinogenesis and uncover heterogeneous cellular states in prostate epithelial cells marked by high androgen signaling states that are enriched in prostate cancer. ERG- tumor cells, compared to ERG+ cells, demonstrate shared heterogeneity with surrounding luminal epithelial cells and appear to give rise to common tumor microenvironment responses. Finally, we show that prostate epithelial organoids recapitulate tumor-associated epithelial cell states and are enriched with distinct cell types and states from their parent tissues. Conclusions:Our results provide diagnostically relevant insights and advance our understanding of the cellular states associated with prostate carcinogenesis.

2021-08-23 | GSE176031 | GEO

Histological heterogeneity in primary prostate

Project description:Histological heterogeneity in primary prostate

| PRJNA1028110 | ENA

Human Prostate Cancer epithelial-fibroblast cell signalling by CTAP-MS

Project description:A greater understanding of cell signaling events that occur within the prostate cancer tumor microenvironment (TME), for example between cancer-associated fibroblasts (CAFs) and prostate epithelial or cancer cells, may identify novel biomarkers and more effective therapeutic strategies for this disease. To address this, we used cell-type specific labelling with amino acid precursors (CTAP) to define cell type-specific phosphoproteomic changes that occur when prostate epithelial cells are co-cultured with normal patient-derived prostate fibroblasts (NPFs) versus matched CAFs.

2023-03-11 | PXD037272 | Pride

Transcription profiling of human prostate cancer cell lines and normal prostate epithelial and stromal cells in primary culture

Project description:The primary goal of this study was to assess differences in gene expression between prostate cancer cell lines and normal prostate epithelial and stromal cells in primary culture. Experiment Overall Design: 9 samples were analyzed with 1 replicate each. Samples included 6 prostate cancer cell lines, 1 normal prostate epithelial cell system in primary culture, and 2 normal prostate stromal cell systems in primary culture.

2008-11-13 | E-GEOD-12348 | biostudies-arrayexpress

Prostate cancer cell lines and normal prostate epithelial and stromal cells in primary culture

2008-11-01 | GSE12348 | GEO

Transcription profiling of human hypoxia-stimulated prostate tumor cell lines and primary prostate epithelial cells

Project description:Time course data of normoxia- and hypoxia-treated prostate tumor cell lines (DU145, PC3, LNCaP, 22RV1) and primary prostate epithelial cells (four different donors) in three biological replicates.

2011-11-09 | E-TABM-948 | biostudies-arrayexpress

Single cell atlas of epithelial and stromal cell heterogeneity by lobe and strain in the mouse prostate

Project description:Single cell atlas of epithelial and stromal cell heterogeneity by lobe and strain in the mouse prostate

| PRJNA695577 | ENA

Montagud2022 - Prostate cancer Boolean model

Project description:Prostate cancer is the second most occurring cancer in men worldwide, and with the advances made with screening for prostate-specific antigen, it has been prone to early diagnosis and over-treatment. To better understand the mechanisms of tumorigenesis and possible treatment responses, we developed a mathematical model of prostate cancer which considers the major signalling pathways known to be deregulated. The model includes pathways such as androgen receptor, MAPK, Wnt, NFkB, PI3K/AKT, MAPK, mTOR, SHH, the cell cycle, the epithelial-mesenchymal transition (EMT), apoptosis and DNA damage pathways. The final model accounts for 133 nodes and 449 edges. We applied a methodology to personalise this Boolean model to molecular data to reflect the heterogeneity and specific response to perturbations of cancer patients, using TCGA and GDSC datasets.

2022-06-22 | MODEL2106070001 | BioModels

Single-cell analysis of human primary prostate cancer reveals the heterogeneity of tumor-associated epithelial cell states.

Project description:Prostate cancer is the second most common malignancy in men worldwide and consists of a mixture of tumor and non-tumor cell types. To characterize the prostate cancer tumor microenvironment, we perform single-cell RNA-sequencing on prostate biopsies, prostatectomy specimens, and patient-derived organoids from localized prostate cancer patients. We uncover heterogeneous cellular states in prostate epithelial cells marked by high androgen signaling states that are enriched in prostate cancer and identify a population of tumor-associated club cells that may be associated with prostate carcinogenesis. ERG-negative tumor cells, compared to ERG-positive cells, demonstrate shared heterogeneity with surrounding luminal epithelial cells and appear to give rise to common tumor microenvironment responses. Finally, we show that prostate epithelial organoids harbor tumor-associated epithelial cell states and are enriched with distinct cell types and states from their parent tissues. Our results provide diagnostically relevant insights and advance our understanding of the cellular states associated with prostate carcinogenesis.

| S-EPMC8748675 | biostudies-literature

Wild-type vs. Rb-/- Prostate Epithelial Cell Lines

Project description:Comparison of control wild-type and Rb-/- prostate epithelial cell lines under untreated and serum-free conditions Keywords = prostate Keywords = epithelial Keywords: other

2004-01-05 | GSE934 | GEO

OmicsDI is part of the ELIXIR infrastructure

OmicsDI is an Elixir interoperability service. Learn more ›

Tweets

OmicsDI Databases

PRIDE
PeptideAtlas
MassIVE
JPOST Repository
Physiome Model Repository

EGA
EVA
ENA
LINCS
PAXDB
Cell Collective

MetaboLights
Metabolomics Workbench
MetabolomeExpress
GNPS
BioModels
FAIRDOMHub

ArrayExpress
dbGaP
ExpressionAtlas
GEO
NODE

Information

Databases
Help
API
Contact us
Code on GitHub
Terms of use
Submit Data