PLX118750

GSE103672: Longitudinal Transcriptional Response of Endothelial Cells to Shear Stress

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

The goal of this study was to find longitudinal transcriptional response of Human Umbilical Vein Endothelial Cells (HUVECs) to pulsatile shear (PS) and oscillatory shear (OS). PS is associated with an atheroprotective endothelial phenotype, while OS is associated with an atheroprone endothelial phenotype. Using RNASeq method (single-ended 50-bp sequencing on Illumina Hi-seq 2000 instrument), we measured the transcriptional response at 10 time-points (1, 2, 3, 4, 6, 9, 12, 16, 20, 24 hr) under PS and OS conditions. Low flow scenario was used as static condition. Two replicates were used for each condition/time-point. Results: Through combining the temporal data on differentially expressed transcription factors and their targets with existing knowledge on relevant functional pathways, we infer the causal relationships between disparate endothelial functions through common transcriptional regulation mechanisms. Our study presents the first comprehensive temporally longitudinal experimental study and mechanistic model of shear stress response. By comparing the relative endothelial expressions of genes between OS and PS, we provide novel insights and an integrated perspective into endothelial cell function in response to differential shear. SOURCE: Shankar Subramaniam University of California, San Diego

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