Effect of iPSC-derived megakaryocytes and platelets on gene expression of HUVEC
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: 3 × HUVEC, PBS, vs 3 × HUVEC, iMPs, vs 3 × HUVEC, PRP, vs 3 × HUVEC, FGF2,Groups 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.
- Paper
- iPSC-derived megakaryocytes and platelets accelerate wound healing and angiogenesisStem cell research & therapy · 2024
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 GSE260954_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 PRJNA1084727 and SRA study SRP493593. Searching any of these in the dataset finder brings you back here.
Supports a between-group comparison across 12 samples.
How we read this: 4 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.
- GSM8128615 HUVEC, PBS, 1 HUVEC, PBS,
- GSM8128616 HUVEC, PBS, 2 HUVEC, PBS,
- GSM8128617 HUVEC, PBS, 3 HUVEC, PBS,
- GSM8128618 HUVEC, iMPs, 1 HUVEC, iMPs,
- GSM8128619 HUVEC, iMPs, 2 HUVEC, iMPs,
- GSM8128620 HUVEC, iMPs, 3 HUVEC, iMPs,
- GSM8128621 HUVEC, PRP, 1 HUVEC, PRP,
- GSM8128622 HUVEC, PRP, 2 HUVEC, PRP,
- GSM8128623 HUVEC, PRP, 3 HUVEC, PRP,
- GSM8128624 HUVEC, FGF2, 1 HUVEC, FGF2,
- GSM8128625 HUVEC, FGF2, 2 HUVEC, FGF2,
- GSM8128626 HUVEC, FGF2, 3 HUVEC, FGF2,
- GSE216593 Generation of megakaryocytes and functional platelets from human embryonic stem cells 18 samples shares megakaryocytes, platelets
- GSE242369 Inhibiting the P2Y12 Receptor in Megakaryocytes and Platelets Suppresses Interferon-Associated Responses 19 samples shares megakaryocytes, platelets
- GSE254958 The gene expression of HUVEC in response to the cytokine stimulations 15 samples shares huvec
- GSE288064 RNA sequencing of HUVEC, HCMEC and human primary skeletal muscle cells in response to in vitro mechanical loading 36 samples shares huvec
- 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
- GSE278916 RNA sequencing in untreated (UN), sodium arsenite (SA) and heat shock (HS) stressed HeLa,HUVEC and THP-1 cells 18 samples shares huvec
- GSE275227 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) 12 samples shares huvec
- GSE312006 Transcriptomic profiling of young, replicative senescent, and premature senescent HUVECs 9 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.