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Investigation of differentially expressed genes in subpopulations of adherent human umbilical vein endothelial cells (HUVECS) isolated after fluid shear stress compared to the whole population of endothelial cells

GSE241023 Homo sapiens (human) RNA-seq (gene expression) 12 samples Submitted 2024/08/13 Platform GPL24676
At a glance

RNA-seq (gene expression) · human · 12 samples

What it is
RNA-seq (gene expression)Gene activity measured by sequencing. The summary does not mention single-cell work, so this is most likely bulk: one average per sample, the usual starting point for comparing groups.
Organism
Homo sapiens (human)
Samples
12 samples
Data you can get
A processed table (series matrix) and supplementary files from NCBI; the raw sequencing reads from ENA. Which of these hold counts depends on the study, so check the file list.
Paper
Identification of a subpopulation of highly adherent endothelial cells for seeding synthetic vascular graftsThe Journal of thoracic and cardiovascular surgery · 2025
Summary (written by the submitters)
The goal of this study is to determine whether EC loss is a random process or whether it is possible to predict which cells are more likely to remain adherent upon exposure to fluid SS. We used fluid SS to isolate a subpopulation of ECs that resist detachment and remain adherent. We used RNA-seq to examine differential gene expression of adherent subpopulation ECs compared to the whole population to identify targets for improving retention
Published in
Identification of a subpopulation of highly adherent endothelial cells for seeding synthetic vascular grafts
Wolfe JT, Chen V, Chen Y et al. · The Journal of thoracic and cardiovascular surgery 2025 · PMID 38972570 · doi:10.1016/j.jtcvs.2024.06.028
This dataset
Download · which file do I need?

Direct links to NCBI and ENA, no account and no request form. Pick by what you want to do: take the small processed table to look, the supplementary files to re-analyse, or the original raw data to start over.

1 · Just have a look

Processed table

The series matrix: one table of values per sample as the submitters processed it. The smallest download, and it opens in Excel or R. Start here to see what the data look like.

2 · Re-analyse it

Supplementary files

The count tables and other files the authors uploaded. Take only the samples you need, or the whole study as GSE241023_RAW.tar (it can run to tens of gigabytes).

3 · Start from the raw reads

Raw sequencing reads

The original FASTQ files, straight from the sequencer, held at ENA. Large, and you align them yourself, so only choose this if you need to re-process the study from scratch.

What the files usually look like: For RNA-seq the counts are usually a table among the supplementary files (look for 'counts', 'expression', 'FPKM' or 'TPM' in the file name). The series matrix of a sequencing study is sometimes nearly empty.

Also filed as BioProject PRJNA1006066 and SRA study SRP455448. Searching any of these in the dataset finder brings you back here.

Samples in this study

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+ 12 more — browse all 12 samples with per-sample file links →

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Metadata from NCBI GEO, cached and refreshed periodically — the NCBI page above is authoritative. Downloads link straight to NCBI/ENA; nothing is proxied through BioTransfer.