Browse
Submit Data
Databases
API
Help

Dataset Information

0 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

Transcriptomic analysis of the effect of trastuzumab in human iPSC-CMs

ABSTRACT: Transcriptomic analysis of the effect of trastuzumab in human iPSC-CMs

PROVIDER: PRJNA477344 | ENA |

REPOSITORIES: ENA

ACCESS DATA

Json Xml

Similar Datasets

Transcriptomic analysis of the effect of trastuzumab in human iPSC-CMs

Project description:We used human iPSC-CMs generated from healthy individuals and performed RNA-sequencing after 7 days of trastuzumab treatment to examine the mechanism associated with contraction dysfunction in iPSC-CMs after trastuzumab treatment. Transcriptome analysis revealed the key role of an altered energy metabolism pathway for cardiomyocytes in the disease pathogenesis.

2019-09-26 | GSE116127 | GEO

Transcriptomic analysis of the effect of iron overload in human iPSC-CMs

Project description:We used human iPSC-CMs generated from healthy individuals and performed RNA-sequencing after 5 days of trastuzumab treatment to examine the mechanism associated with cardiac dysfunction in iPSC-CMs after iron treatment. Transcriptome analysis revealed broad changes in cardiovascular development and processes.

2020-06-08 | GSE141678 | GEO

Transcriptomic analysis reveals a statin-induced core molecular signature in human iPSC-CMs

Project description:Statins prevent cardiovascular disease via their salutary function as inhibitors of cholesterol biosynthesis and mediators of pleiotropic effects on the cardiovascular system. The current study focuses on the class effect of statins on the transcriptome of human iPSC-derived cardiomyocytes (iPSC-CMs), applied at serum peak concentrations. We report a comprehensive transcriptomic analysis of iPSC-CMs derived from four healthy donors and different differentiation batches following treatment with fluvastatin, simvastatin, atorvastatin, and lovastatin. Our data display dynamic transcriptional networks and reveal a statin-induced molecular signature in iPSC-CMs independent of genetic background and technical variability. Finally, in-depth pathway enrichment analysis uncovers that all statins affect mainly metabolic properties of iPSC-CMs and particularly the regulation of cholesterol biosynthesis and fatty acid metabolism. Our study provides a global insight into the cardiomyocyte effects of statins revealing novel aspects of their role on cardiomyocyte metabolic regulation, when applied at clinically relevant concentrations.

2020-04-29 | GSE113546 | GEO

Transcriptomic analysis of the effect of iron overload in human iPSC-CMs

Project description:Transcriptomic analysis of the effect of iron overload in human iPSC-CMs

| PRJNA594356 | ENA

Long non-coding RNA LIPTER effect on human iPSC-CMs and mouse heart

Project description:Long non-coding RNA LIPTER effect on human iPSC-CMs and mouse heart

2023-04-24 | GSE175370 | GEO

Rhesus iPSC-CMs response to anoxia, comparing with human iPSC-CMs

Project description:RNA-Seq to compare hypoxia responses between human and rhesus macaque iPSC-CMs

2018-09-10 | GSE108676 | GEO

Rhesus iPSC-CMs response to anoxia, comparing with human iPSC-CMs

Project description:Rhesus iPSC-CMs response to anoxia, comparing with human iPSC-CMs

| PRJNA428243 | ENA

The role of MEF2A in iPSC-CMs maturation

Project description:To understand the role of MEF2A in iPSC-CMs maturation, we used MEF2A-siRNA to reduce MEF2A transcription in iPSC-CMs and then examined the changes in transcription levels

2023-02-03 | GSE196655 | GEO

The antineoplastic drug, trastuzumab, dysregulates metabolism in iPSC derived cardiomyocytes.

Project description:Background: The targeted ERBB2 therapy, trastuzumab, has had a tremendous impact on management of patients with HER2+ breast cancer, leading to development and increased use of further HER2 targeted therapies. The major clinical side effect is cardiotoxicity but the mechanism is largely unknown. On the basis that gene expression is known to be altered in multiple models of heart failure, we examined differential gene expression of iPSC derived cardiomyocytes treated at day 11 with the ERBB2 targeted monoclonal antibody, trastuzumab for 48 hours and the small molecule tyrosine kinase inhibitor of EGFR and ERBB2. Methods: Transcriptome sequencing was performed on four replicates from each group (48 hours untreated, 48 hours trastuzumab and 48 hours lapatinib) and differential gene expression analyses were performed on each treatment group relative to untreated cardiomyocytes. Results: 517 and 1,358 genes were differentially expressed, p<0.05, respectively in cardiomyocytes treated with trastuzumab and lapatinib. Gene ontology analyses revealed in cardiomyocytes treated with trastuzumab, significant down-regulation of genes involved in small molecule metabolism (p=3.22x10-9) and cholesterol (p=0.01) and sterol (p=0.03) processing. Conclusions: Our study suggests dysregulation of cardiac gene expression and metabolism as key elements of ERBB2 signaling that could potentially be early biomarkers of cardiotoxicity.

2017-03-08 | GSE91383 | GEO

Modeling Atrial Fibrillation (AF) in a Dish using Atrial iPSC-Derived Cardiomyocytes (iPSC-CMs)

Project description:Our study aims to illustrate the potential use of atrial iPSC-CMs for modeling AF in a dish, elucidating the underlying cellular mechanisms, and identifying novel mechanism-based therapies custom-tailored for individual patients

2021-06-16 | GSE154084 | GEO

OmicsDI is part of the ELIXIR infrastructure

OmicsDI is an Elixir interoperability service. Learn more ›

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