Multimodal profiling reveals distinct endothelial activation pathways regulated by flow and heparan sulfate

This dataset contains the raw and processed quantitative outputs
supporting the manuscript “Multimodal Profiling Reveals Distinct
Endothelial Activation Pathways Regulated by Flow and Heparan Sulfate”
(Harding, O’Hare, et al., 2025). The data quantify endothelial
inflammatory and oxidative stress responses under four experimental
conditions: (1) static, (2) uniform flow (12 dyn/cm²), (3) static +
heparinase III, and (4) flow + heparinase III. The spreadsheets compile
results from confocal immunofluorescence imaging, Western blot
densitometry, reactive oxygen species (ROS) assays, and RNA sequencing.
Quantified variables include mean fluorescence intensity (MFI) for protein
markers (KLF2, ICAM-1, E-selectin, Nrf2, and Nf-κB p65), nuclear
localization coefficients (Pearson’s coefficient for Nrf2 and DAPI),
normalized band intensity ratios for Nox4, ICAM-1, and β-actin, and
fluorescence-based ROS signals (H₂DCFDA and DHE assays). The RNA-seq
dataset provides normalized counts, fold changes, and gene-set enrichment
scores for oxidant, antioxidant, pro-inflammatory, and anti-inflammatory
gene groups. Each data table corresponds to averaged biological replicates
(n = 3–7 per condition) with normalization to static controls. Together,
these data provide a quantitative framework linking glycocalyx integrity
and flow-dependent mechanotransduction to endothelial inflammation and
redox regulation. The files can be reused for comparative analyses of
mechanosensitive gene programs, image quantification benchmarking, or
integration with other omics datasets examining vascular dysfunction.