Endothelial cells (ECs) are crucial for maintaining vascular homeostasis and respond dynamically to mechanical forces such as shear stress. Different shear stress conditions activate specific signaling pathways that influence cellular functions, including proliferation, migration, and the release of vasoactive substances.
Endothelial cells possess mechanosensors that detect shear stress, including:
Several critical signaling pathways are activated in response to shear stress:
The pattern of shear stress (steady vs. oscillatory) significantly influences endothelial responses:
Understanding the specific signaling pathways activated in endothelial cells under different shear stress conditions is essential for developing therapeutic strategies aimed at enhancing vascular health and preventing diseases such as atherosclerosis.
This notebook will analyze RNA-seq data from endothelial cells exposed to different shear stress conditions.
import pandas as pd import numpy as np from scipy import stats # Load RNA-seq data data = pd.read_csv('path_to_rna_seq_data.csv') # Perform differential expression analysis results = stats.ttest_ind(data['shear_stress_high'], data['shear_stress_low']) # Output results print(results)
The analysis will help identify key genes involved in endothelial responses to shear stress.
# Further analysis and visualization can be added here.