Browse
Submit Data
Databases
API
Help

Dataset Information

0 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

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

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

PROVIDER: PRJNA1106806 | ENA |

REPOSITORIES: ENA

ACCESS DATA

Json Xml

Similar Datasets

Decoding gene expression heterogeneity in Triple Negative Breast Cancer

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

| PRJNA1106798 | ENA

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

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

| PRJNA1106811 | ENA

Heterogeneity of triple-negative breast cancer

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

2018-01-01 | GSE97342 | GEO

Epigenetic heterogeneity and transcriptional drivers of triple-negative breast cancer (Cell lines scRNA-Seq)

Project description:Epigenetic heterogeneity and transcriptional drivers of triple-negative breast cancer (Cell lines scRNA-Seq)

| PRJNA837243 | ENA

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 [scRNA-seq]

Project description:In this study, we have employed both bulk RNA- and sc-RNA-seq to investigate the transcriptional status of TNBC cells, grown as 2D or 3D cultures, prior and after development of resistance to two widely used chemotherapeutic drugs, paclitaxel and doxorubicin. Our aim was to uncover the gene expression programs that support drug tolerance in treatment-naïve cells and drug resistance in heterogeneous chemoresistant populations. Analysis of the data from the two techniques yielded similar results to a large degree, yet several low abundance gene expression changes in the chemoresistant cells were detected only by scRNA-seq.

2024-07-17 | GSE266351 | 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

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

2022-01-12 | GSE184540 | GEO

H3K27me3 conditions chemotolerance in triple-negative breast cancer [scRNA-seq]

Project description:H3K27me3 conditions chemotolerance in triple-negative breast cancer [scRNA-seq]

| PRJNA691625 | ENA

Transcriptional heterogeneity of HCC1143 Triple Negative Breast Cancer perturbed with paclitaxel or soluble ligand

Project description:Triple Negative Breast cancer is a heterogeneous disease that is capable of adapting to a variety of stimuli. To study the dynamics of both drug and ligand response, we performed scRNA-seq to deeply profiled the transcriptional response of the HCC1143 cell line to a variety of stimuli.

2024-06-04 | GSE266934 | 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