Transcriptomic changes in Human Umbilical Vein Endothelial Cells (HUVEC) after exposure to Tumor Necrosis Factor-Alpha(TNF-a), AdipoRon, and Sphingosine Kinase Inhibitor (SKI-I)
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: 6 conditions, mostly in duplicateGroups are read from the sample names, not from the paper. Check the list below.
- 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.
Read the full summary ↓
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.
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.
Supplementary files
The count tables and other files the authors uploaded. Take only the samples you need, or the whole study as GSE275227_RAW.tar (it can run to tens of gigabytes).
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 PRJNA1149837 and SRA study SRP527400. Searching any of these in the dataset finder brings you back here.
Supports a between-group comparison across 12 samples.
How we read this: 6 replicated groups read from 12 sample titles; they account for 12 of them. These groups are guessed from the sample names, not taken from the paper, so check them against the sample list below before relying on them.
- GSM8473146 control_1 control
- GSM8473147 control_2 control
- GSM8473148 tnf_1 tnf
- GSM8473149 tnf_2 tnf
- GSM8473150 adiporon_1 adiporon
- GSM8473151 adiporon_2 adiporon
- GSM8473152 ski_1 ski
- GSM8473153 ski_2 ski
- GSM8473154 tnf_adiporon_1 tnf_adiporon
- GSM8473155 tnf_adiporon_2 tnf_adiporon
- GSM8473156 tnf_ski_1 tnf_ski
- GSM8473157 tnf_ski_2 tnf_ski
- GSE296345 Paired-end RNA Sequencing on primary human umbilical endothelial cells (HUVEC) exposed to uninfected or bacterially-infected PMA-differentiated macrophage-like U937 for 8 or 24 h 24 samples shares huvec, endothelial, umbilical
- GSE286040 Endothelial Sensitivity to Pro-Fibrotic Signals Links Systemic exposure to Pulmonary Fibrosis 96 samples shares endothelial, exposure
- GSE288064 RNA sequencing of HUVEC, HCMEC and human primary skeletal muscle cells in response to in vitro mechanical loading 36 samples shares huvec
- GSE278916 RNA sequencing in untreated (UN), sodium arsenite (SA) and heat shock (HS) stressed HeLa,HUVEC and THP-1 cells 18 samples shares huvec
- GSE254958 The gene expression of HUVEC in response to the cytokine stimulations 15 samples shares huvec
- GSE260954 Effect of iPSC-derived megakaryocytes and platelets on gene expression of HUVEC 12 samples shares huvec
- GSE312006 Transcriptomic profiling of young, replicative senescent, and premature senescent HUVECs 9 samples shares huvec
- GSE256144 RNA-seq in HUVECs upon DDX24 knockdown 6 samples shares huvec
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.