PLX135061

GSE114686: Total RNA profiles in response to four tyrosine kinase inhibitors in human induced pluripotent stem cell-derived cardiomyocytes

  • Organsim human
  • Type RNASEQ
  • Target gene
  • Project ARCHS4

To define molecular markers of tyrosine kinase inhibitor-induced cardiotoxicity, we measured transcriptome changes in human induced pluripotent stem cell-derived cardiomyocytes (hiPSC-CMs) treated with one of four tyrosine kinase inhibitors (Erlotinib, Lapatinib, Sorafenib, or Sunitinib) displaying a range of mild to severe cardiotoxicity or a vehicle-only control (DMSO). Gene expression changes were assessed at the cell population level using total RNA-seq, which measured levels of both mRNAs and non-coding RNAs.hiPSC-CMs used in this study were the Cor.4U cells purchased from Ncardia. SOURCE: Robert,Patrick,Sheehan (sheehan.robertp@gmail.com) - Harvard Medical School

View on GEOView in Pluto

Key Features

Enhance your research with our curated data sets and powerful platform features. Pluto Bio makes it simple to find and use the data you need.

Learn More

14K+ Published Experiments

Access an extensive range of curated bioinformatics data sets, including genomic, transcriptomic, and proteomic data.

Easy Data Import

Request imports from GEO or TCGA directly within Pluto Bio. Seamlessly integrate external data sets into your workflow.

Advanced Search Capabilities

Utilize powerful search tools to quickly find the data sets relevant to your research. Filter by type, disease, gene, and more.

Analyze and visualize data for this experiment

Use Pluto's intuitive interface to analyze and visualize data for this experiment. Pluto's platform is equipped with an API & SDKs, making it easy to integrate into your internal bioinformatics processes.

Read about post-pipeline analysis

View QC data and experiment metadata

View quality control data and experiment metadata for this experiment.

Request import of other GEO data

Request imports from GEO or TCGA directly within Pluto Bio.

Chat with our Scientific Insights team