Ischemic stroke of different etiologies undergoing mechanical thrombectomy
RNA-seq (gene expression) · human · 30 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
- 30 samples: 10 × RNA-Seq Atero vs 10 × RNA-Seq Cardio vs 10 × RNA-Seq ESUSGroups 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
- Transcriptomic profiling of thrombus-derived extracellular vesicles reveals PECAM-1 as a potential inflammatory marker for cardioembolic stroke patientsJournal of neuroinflammation · 2025
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 GSE296028_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 PRJNA1257339 and SRA study SRP582404. Searching any of these in the dataset finder brings you back here.
Supports a between-group comparison across 30 samples.
How we read this: 3 replicated groups read from 30 sample titles; they account for 30 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.
- GSM8963622 RNA-Seq Atero_1 RNA-Seq Atero
- GSM8963623 RNA-Seq Atero_2 RNA-Seq Atero
- GSM8963624 RNA-Seq Cardio_1 RNA-Seq Cardio
- GSM8963625 RNA-Seq Cardio_2 RNA-Seq Cardio
- GSM8963626 RNA-Seq ESUS_1 RNA-Seq ESUS
- GSM8963627 RNA-Seq ESUS_2 RNA-Seq ESUS
- GSM8963628 RNA-Seq Cardio_3 RNA-Seq Cardio
- GSM8963629 RNA-Seq Atero_3 RNA-Seq Atero
- GSM8963630 RNA-Seq Cardio_4 RNA-Seq Cardio
- GSM8963631 RNA-Seq Cardio_5 RNA-Seq Cardio
- GSM8963632 RNA-Seq ESUS_3 RNA-Seq ESUS
- GSM8963633 RNA-Seq ESUS_4 RNA-Seq ESUS
- GSM8963634 RNA-Seq Atero_4 RNA-Seq Atero
- GSM8963635 RNA-Seq ESUS_5 RNA-Seq ESUS
- GSM8963636 RNA-Seq Atero_5 RNA-Seq Atero
- GSM8963637 RNA-Seq ESUS_6 RNA-Seq ESUS
- GSM8963638 RNA-Seq Atero_6 RNA-Seq Atero
- GSM8963639 RNA-Seq Cardio_6 RNA-Seq Cardio
- GSM8963640 RNA-Seq Atero_7 RNA-Seq Atero
- GSM8963641 RNA-Seq Atero_8 RNA-Seq Atero
- GSM8963642 RNA-Seq Cardio_7 RNA-Seq Cardio
- GSM8963643 RNA-Seq Atero_9 RNA-Seq Atero
- GSM8963644 RNA-Seq Atero_10 RNA-Seq Atero
- GSM8963645 RNA-Seq ESUS_7 RNA-Seq ESUS
- GSM8963646 RNA-Seq ESUS_8 RNA-Seq ESUS
- GSM8963647 RNA-Seq Cardio_8 RNA-Seq Cardio
- GSM8963648 RNA-Seq Cardio_9 RNA-Seq Cardio
- GSM8963649 RNA-Seq Cardio_10 RNA-Seq Cardio
- GSM8963650 RNA-Seq ESUS_9 RNA-Seq ESUS
- GSM8963651 RNA-Seq ESUS_10 RNA-Seq ESUS
- GSE255087 Transcriptomic analysis of plasma extracellular vesicles from patients with ischemic stroke of different etiologies undergoing mechanical thrombectomy 21 samples shares thrombectomy, etiologies, undergoing, mechanical, different, ischemic, stroke
- GSE260888 Gene expression analysis of hESCs undergoing neuronal differentiation exposed to citalopram 89 samples shares undergoing, different
- GSE328878 Transcriptomic comparison of RA vs healthy monocytes undergoing different ex vivo activation conditions 72 samples shares undergoing, different
- GSE260889 Single cell gene expression analysis of hESCs undergoing neuronal differentiation 16 samples shares undergoing, different
- GSE309016 Lung adenocarcinoma cells respond differently to mechanical stress in 3D versus 2D environments 8 samples shares mechanical, different
- GSE309015 Lung adenocarcinoma cells respond differently to mechanical stress in 3D versus 2D environments 4 samples shares mechanical, different
- GSE260892 Gene expression and Epigenome analysis of hESCs undergoing neuronal differentiation 194 samples shares undergoing, different
- GSE276114 Integrative proteo-transcriptomic characterization of advanced fibrosis in chronic liver disease across etiologies 177 samples shares etiologies
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.