Browse
Submit Data
Databases
API
Help

Dataset Information

0 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

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

ABSTRACT: 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.

ORGANISM(S): Homo sapiens

PROVIDER: GSE184540 | GEO | 2022/01/12

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 xenograft tumors derived from subclonal populations of 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 | GSE184541 | GEO

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

2022-01-12 | GSE184542 | GEO

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

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

| PRJNA765010 | ENA

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

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

| PRJNA765011 | ENA

Proteomic analysis to examine the functional consequences of intratumor heterogeneity

Project description:To examine the functional consequences of intratumor heterogeneity, subclonal populations (SCPs) were derived from the MDA-MB-468 triple-negative breast cancer cell line. Characterization of these SCPs revealed considerable variation in SCP tumor forming capacity with SCP #32 (SCP32) having an exceptional high tumor forming capacity. To investigate the proteomic differences between tumors of SCP32 and other SCPs, in TMT1, isobaric tandem mass tag (TMT) labeling combined with LC-MS/MS (TMT-MS) was performed on tumors of SCP03, SCP29 and SCP32 (n = 3 each) collected at 2 months post transplantation. In TMT2, isobaric tandem mass tag (TMT) labeling combined with LC-MS/MS (TMT-MS) was performed on tumors of the parental MDA-MB-468 cell line (n = 2), and both barcoded and non-barcoded versions SCP29 and SCP32 (two each) collected at 2 months post transplantation.

2022-02-16 | PXD022325 | Pride

Lipid remodeling in response to methionine stress in MDA-MBA-468 triple-negative breast cancer cells.

Project description:Methionine (Met) is an essential amino acid and critical precursor to the cellular methyl donor S-adenosylmethionine. Unlike nontransformed cells, cancer cells have a unique metabolic requirement for Met and are unable to proliferate in growth media where Met is replaced with its metabolic precursor, homocysteine. This metabolic vulnerability is common among cancer cells regardless of tissue origin and is known as "methionine dependence", "methionine stress sensitivity", or the Hoffman effect. The response of lipids to Met stress, however, is not well-understood. Using mass spectroscopy, label-free vibrational microscopy, and next-generation sequencing, we characterize the response of lipids to Met stress in the triple-negative breast cancer cell line MDA-MB-468 and its Met stress insensitive derivative, MDA-MB-468res-R8. Lipidome analysis identified an immediate, global decrease in lipid abundances with the exception of triglycerides and an increase in lipid droplets in response to Met stress specifically in MDA-MB-468 cells. Furthermore, specific gene expression changes were observed as a secondary response to Met stress in MDA-MB-468, resulting in a downregulation of fatty acid metabolic genes and an upregulation of genes in the unfolded protein response pathway. We conclude that the extensive changes in lipid abundance during Met stress is a direct consequence of the modified metabolic profile previously described in Met stress-sensitive cells. The changes in lipid abundance likely results in changes in membrane composition inducing the unfolded protein response we observe.

| S-EPMC8042402 | biostudies-literature

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

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

Project description:This SuperSeries is composed of the SubSeries listed below.

2022-01-12 | GSE184543 | GEO

Single-Cell RNA Sequencing of Pediatric Ependymoma uncovers Subclonal Heterogeneity associated with Patient Survival

Project description:Ependymoma is a malignant glial tumor occurring throughout central nervous system, with one third of relapse rate. The increasing accessibility of single-cell transcriptome has accelerated our understanding of ependymoma. In this study, we generated a high-resolution single-cell dataset with a particular focus on the comparison of subclonal differences within tumor populations. As a proxy to traditional pseudotime analysis, we developed a novel trajectory scoring method to predict survival outcomes and specific molecular characteristics. Moreover, we identified putative cell-cell communication features between relapsed and primary samples and show upregulation of pathways associated with immune cell crosstalk. Our results reveal both inter- and intratumoral gene expression profiles and tumor differentiation and provide a framework for future studies on transcriptomic signatures of individual subclones in brain tumors at single-cell resolution, by which could complement existing published datasets and provide valuable insights into cell-type-specific properties and lay the foundation for therapeutic treatments of diseases.

2022-06-15 | GSE189939 | 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