Browse
Submit Data
Databases
API
Help

Dataset Information

0 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

Integrative single-cell transcriptome analysis of human pancreatic cancer reveals an intermediate cancer cell population associated with poor prognosis [RNA]

ABSTRACT: Integrative single-cell transcriptome analysis of human pancreatic cancer reveals an intermediate cancer cell population associated with poor prognosis [RNA]

PROVIDER: PRJNA986094 | ENA |

REPOSITORIES: ENA

ACCESS DATA

Json Xml

Dataset's files

Source:

			Action	DRS
	SRR24981359.fastq.gz	Fastqsanger.gz
	SRR24981360.fastq.gz	Fastqsanger.gz
	SRR24981361.fastq.gz	Fastqsanger.gz
	SRR24981362.fastq.gz	Fastqsanger.gz
	SRR24981363.fastq.gz	Fastqsanger.gz

Items per page:

1 - 5 of 8

Similar Datasets

Integrative single-cell transcriptome analysis of human pancreatic cancer reveals an intermediate cancer cell population associated with poor prognosis

Project description:Integrative single-cell transcriptome analysis of human pancreatic cancer reveals an intermediate cancer cell population associated with poor prognosis

| PRJNA986087 | ENA

Integrative single-cell transcriptome analysis of human pancreatic cancer reveals an intermediate cancer cell population associated with poor prognosis [Spatial]

Project description:Integrative single-cell transcriptome analysis of human pancreatic cancer reveals an intermediate cancer cell population associated with poor prognosis [Spatial]

| PRJNA985689 | ENA

MYC regulation of a "poor prognosis" metastatic cancer cell state

Project description:MYC regulation of a "poor prognosis" metastatic cancer cell state

| PRJNA111899 | ENA

Integrative single-cell transcriptome analysis of human pancreatic cancer reveals an intermediate cancer cell population associated with poor prognosis [RNA]

Project description:We identified five distinct functional subclusters of pancreatic cancer cells and six distinct cancer-associated fibroblast subclusters. We deeply profiled their characteristics, and we found that these subclusters successfully deconvoluted most of the features suggested in bulk transcriptome analysis of pancreatic cancer. Among those subclusters, we identified a novel cancer cell subcluster, Ep_VGLL1, showing intermediate characteristics between the extremities of basal-like and classical dichotomy, despite its prognostic value. Molecular features of Ep_VGLL1 suggest its transitional properties between basal-like and classical subtypes, which is strongly supported by spatial transcriptome data.

2023-11-17 | GSE235449 | GEO

Integrative single-cell transcriptome analysis of human pancreatic cancer reveals an intermediate cancer cell population associated with poor prognosis [Spatial]

2023-11-17 | GSE235315 | GEO

Distinct gene expression profile between ARID1Ahigh and good prognosis and ARID1Alow and poor prognosis groups

Project description:Cancer tissue specimens from ARID1Ahigh and good prognosis and ARID1Alow and poor prognosis of patients with advanced gastric cancer were extracted and analyzed.

2018-02-06 | GSE110078 | GEO

Methylation of Cancer Stem Cell-associated Wnt target genes predicts poor prognosis in colorectal cancer patients

Project description:Methylation of Cancer Stem Cell-associated Wnt target genes predicts poor prognosis in colorectal cancer patients

| PRJNA149357 | ENA

Multiple myeloma immunoglobulin lambda translocations portend poor prognosis

Project description:Multiple myeloma immunoglobulin lambda translocations portend poor prognosis

| PRJNA499054 | ENA

MicroRNA expression contributes to the poor prognosis of human small cell lung cancer

Project description:MicroRNAs are important cellular components and their dysfunctions are associated with various disease.Small-cell lung cancer (SCLC) is an aggressive disease with a poor prognosis, but little is know about the underlying machinery that leads to rapid tumor growth and early metastases.In this study, clinical outcome prediction miRNAs were successfully found through expression profiling of a total of 924 miRNA genes in 42 SCLC cases.

2011-02-22 | GSE27435 | GEO

Circulating PMN-MDSCs correlates with poor prognosis in metastatic hormone sensitive prostate cancer

Project description:Circulating PMN-MDSCs correlates with poor prognosis in metastatic hormone sensitive prostate cancer

| PRJNA853305 | ENA