Transcriptomic analysis of plasma extracellular vesicles from patients with ischemic stroke of different etiologies undergoing mechanical thrombectomy
RNA-seq (gene expression) · human · 21 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
- 21 samples: 10 × Cardio vs 6 × Atero vs 5 × 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 Analysis of Extracellular Vesicles in the Search for Novel Plasma and Thrombus Biomarkers of Ischemic Stroke EtiologiesInternational journal of molecular sciences · 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 GSE255087_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 PRJNA1073495 and SRA study SRP488177. Searching any of these in the dataset finder brings you back here.
Supports a between-group comparison across 21 samples.
How we read this: 3 replicated groups read from 21 sample titles; they account for 21 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.
- GSM8063808 Atero_1 Atero
- GSM8063809 Atero_2 Atero
- GSM8063810 Cardio_1 Cardio
- GSM8063811 ESUS_1 ESUS
- GSM8063812 ESUS_2 ESUS
- GSM8063813 Cardio_2 Cardio
- GSM8063814 Cardio_3 Cardio
- GSM8063815 ESUS_3 ESUS
- GSM8063816 ESUS_4 ESUS
- GSM8063817 Atero_3 Atero
- GSM8063818 Cardio_4 Cardio
- GSM8063819 ESUS_5 ESUS
- GSM8063820 Cardio_5 Cardio
- GSM8063821 Cardio_6 Cardio
- GSM8063822 Atero_4 Atero
- GSM8063823 Cardio_7 Cardio
- GSM8063824 Cardio_8 Cardio
- GSM8063825 Atero_5 Atero
- GSM8063826 Cardio_9 Cardio
- GSM8063827 Atero_6 Atero
- GSM8063828 Cardio_10 Cardio
- GSE296028 Ischemic stroke of different etiologies undergoing mechanical thrombectomy 30 samples shares thrombectomy, etiologies, undergoing, mechanical, different, ischemic
- GSE254401 Inhibition of acid or neutral sphingomyelinases differentially impacts RNA and protein cargo sorting to extracellular vesicles 18 samples shares extracellular, different, vesicles
- GSE255775 Transcriptomic Profiling of Plasma Extracellular Vesicles Enables Reliable Annotation of the Cancer-specific Transcriptome and Molecular Subtype 319 samples shares extracellular, vesicles
- GSE259422 Transcriptomic Profiling of Plasma Extracellular Vesicles Enables Reliable Annotation of the Cancer-specific Transcriptome and Molecular Subtype (plasma_cancer) 156 samples shares extracellular, vesicles
- GSE268230 Extracellular vesicles alter trophoblast function in pregnancies complicated by COVID-19 129 samples shares extracellular, vesicles
- GSE255359 High mechanical conditioning by tumor extracellular matrix stiffness is a predictive biomarker for anti-fibrotic therapy in HER2-negative breast cancer 108 samples shares extracellular, mechanical
- GSE297395 Extracellular vesicles and their RNA cargo facilitate bidirectional cross-kingdom communication between human and bacterial cells [RNA-Seq] 105 samples shares extracellular, vesicles
- GSE260888 Gene expression analysis of hESCs undergoing neuronal differentiation exposed to citalopram 89 samples shares undergoing, different
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.