Browse
Submit Data
Databases
API
Help

Dataset Information

0 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

Identification of glucose-regulated lncRNAs in triple-negative breast cancer cells

ABSTRACT: Identification of glucose-regulated lncRNAs in triple-negative breast cancer cells

PROVIDER: PRJNA417802 | ENA |

REPOSITORIES: ENA

ACCESS DATA

Json Xml

Similar Datasets

Identification of glucose-regulated lncRNAs in triple-negative breast cancer cells

Project description:To comprehensively identify the glucose-regulated lncRNAs, we have employed ArraryStar LncRNA Microarry discovery platform to detect lncRNA expression in glucose-starved and glucose-stimulated triple-negative breast cancer cells. Differentially expressed LncRNAs with statistical significance were identified through Volcano Plot filtering between two groups.

2019-06-03 | GSE106729 | GEO

Molecular effects of glucose on MIR503HG-regulated genes in triple-negative breast cancer

Project description:Molecular effects of glucose on MIR503HG-regulated genes in triple-negative breast cancer

| PRJNA1263019 | ENA

Molecular effects of glucose on MIR503HG-regulated genes in triple-negative breast cancer

Project description:Triple-negative breast cancer (TNBC) is the msot aggressive breast cancer subtype, characterized by the lack of key hormone receptors on tumor cells. As there are limited treatment options for these patients, it is important to further investigate this disease to better understand its mechanisms. In this study, we used an integrated genomics approach to examine the impact of glucose on genes regulated by long non-coding RNA (lncRNA) MIR503HG, which has been known to play an assortment of roles across different cancers. Our RNA-seq analysis of MIR503HG-overexpressing TNBC cells exposed to diverse glucose conditions revealed significant differences in regulation of genes associated with key biological processes. Analysis of gene subsets specific to various glucose environments identified clinical outcomes for breast cancer patients across different molecular subtypes. Our results suggest lncRNA MIR503HG could potentially be a therapeutic target in the treatment of TNBC.

2026-01-12 | GSE297214 | GEO

LncRNAs expressed in triple negative breast cancer of Mexican patients

Project description:LncRNAs expressed in triple negative breast cancer of Mexican patients

| PRJNA1128072 | ENA

Gene expression changes in triple-negative breast cancer by glucose restriction and cariporide treatment

Project description:Gene expression changes in triple-negative breast cancer by glucose restriction and cariporide treatment

| PRJNA1145351 | ENA

Next-generation sequencing facilitates quantitative analysis of mouse triple negative breast cancer cells treated with glucose-like oxidase and GSH-consuming nanoenzyme systems

Project description:To determine the effects of glucose-like oxidase and GSH-consumed nanoenzymes on regulatory genes and molecular pathways of mouse triple negative breast cancer cells (4T1 cells), we studied the RNA sequences of 4T1 cells treated with medium (control), Cu-TCPP (Fe)-PEG(Cu-TCPP) and Au/Cu-TCPP (Fe)-PEG(Au-TCPP).

2022-01-17 | GSE193686 | GEO

Triple therapy reduced metastasis in triple-negative breast cancer.

Project description:Triple therapy reduced metastasis in triple-negative breast cancer.

| PRJNA832953 | ENA

Triple therapy reduced metastasis in triple-negative breast cancer

Project description:Triple therapy reduced metastasis in triple-negative breast cancer

| PRJNA857888 | ENA

Comparison between ethylene signaling regulated transcriptome with glucose-TOR or glucose-HXK1 regulated transcriptome

Project description:Comparison between ethylene signaling regulated transcriptome with glucose-TOR or glucose-HXK1 regulated transcriptome

| PRJNA411817 | ENA

Identification of lipid-binding lncRNAs in triple-negative breast cancer

Project description:To comprehensively identify RNA molecules that are naturally associated with cellular lipid components, we isolated lipid fractions and their bound RNAs from triple-negative breast cancer (TNBC) patient tissues. Fresh frozen TNBC tissues and their normal counterparts were subjected to total RNA extraction, or in parallel, to whole cell fractionation via Hydrostatic Pressure Cycling to form a lipid-containing upper phase, a denatured protein-containing lower phase, and an insoluble fraction containing DNA and RNA (PBI Inc.) The RNAs extracted from the lipid fractions were applied to LncRNA Array v3.0 (Arraystar).

2017-02-21 | GSE92414 | 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