Browse
Submit Data
Databases
API
Help

Dataset Information

0 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

Heterogeneity of triple-negative breast cancer

ABSTRACT: Heterogeneity of triple-negative breast cancer was examined and compared across morphologic and molecular features

ORGANISM(S): Homo sapiens

PROVIDER: GSE97342 | GEO | 2018/01/01

SECONDARY ACCESSION(S): PRJNA381463

REPOSITORIES: GEO

ACCESS DATA

Json Xml

Dataset's files

Source:

			Action	DRS
		Other

Items per page:

1 - 1 of 1

Similar Datasets

Transcriptional heterogeneity among MDA-MBA-468 triple-negative breast cancer cells

Project description:Intratumoral heterogeneity has been described for various tumor types and models of human cancer, and can have profound effects on tumor progression and drug resistance. This study describes transcriptional heterogeneity among subclonal populations (SCPs) derived from a single triple-negative breast cancer cell line.

2022-01-12 | GSE184542 | GEO

Decoding gene expression heterogeneity in Triple Negative Breast Cancer

Project description:Decoding gene expression heterogeneity in Triple Negative Breast Cancer

| PRJNA1106798 | ENA

Transcriptomes of triple negative breast cancer enriched breast cancer cohort

Project description:Breast cancers enriched for the triple negative breast cancer phenotype with extensive clinico-pathological features were profiled to establish their comprehensive transcriptional profiles

2016-11-21 | E-MTAB-5270 | biostudies-arrayexpress

Transcriptional heterogeneity among subclonal populations of MDA-MBA-468 triple-negative breast cancer cells

2022-01-12 | GSE184540 | GEO

Epigenetic heterogeneity and transcriptional drivers of triple-negative breast cancer

Project description:Epigenetic heterogeneity and transcriptional drivers of triple-negative breast cancer

| PRJNA837247 | ENA

Epigenetic heterogeneity and transcriptional drivers of triple-negative breast cancer

Project description:Triple-negative breast cancer (TNBC) is a heterogeneous disease with limited treatment options. To characterize TNBC heterogeneity, we defined transcriptional, epigenetic, and metabolic subtypes, and subtype-driving super-enhancers and transcription factors by combining functional and molecular profiling with computational analyses. Single cell RNA sequencing revealed relative homogeneity of the major transcriptional subtypes (luminal, basal, and mesenchymal) within samples. We found that mesenchymal TNBCs are more similar to mesenchymal neuroblastoma and rhabdoid tumors than to other TNBC subtypes, and the PRRX1 transcription factor is a key driver of these tumors. PRRX1 is sufficient for inducing mesenchymal features in basal but not in luminal TNBC cells via reprogramming cellular super-enhancer landscapes and transcriptome but it is not required for its maintenance and for cellular viability. Our comprehensive, large scale, multi-platform, multi-omics study of both experimental and clinical TNBC is an excellent resource for the scientific and clinical research communities as it opens new venues for future investigations.

2023-01-17 | MSV000091071 | MassIVE

Transcriptional heterogeneity of MDA-MBA-468 triple-negative breast cancer cells

Project description:Transcriptional heterogeneity of MDA-MBA-468 triple-negative breast cancer cells

| PRJNA765006 | ENA

Transcriptional heterogeneity among MDA-MBA-468 triple-negative breast cancer cells

Project description:Transcriptional heterogeneity among MDA-MBA-468 triple-negative breast cancer cells

| PRJNA765012 | ENA

Decoding gene expression heterogeneity in Triple Negative Breast Cancer [scRNA-seq]

Project description:Decoding gene expression heterogeneity in Triple Negative Breast Cancer [scRNA-seq]

| PRJNA1106806 | ENA

Transcriptional heterogeneity among xenograft tumors derived from subclonal populations of MDA-MBA-468 triple-negative breast cancer cells

2022-01-12 | GSE184541 | GEO