Platelet Activation and a Platelet Biosignature Associates with Enhanced Cardiovascular Risk in Patients with Controlled Psoriasis.
RNA-seq (gene expression) · human · 91 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
- 91 samples: 91 samples, each with a distinct title — no replicated groupsGroups 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
- Platelet Activation and a Platelet Biosignature Are Associated With Cardiovascular Risk in Patients With Controlled PsoriasisArteriosclerosis, thrombosis, and vascular biology · 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 GSE302674_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 PRJNA1291710 and SRA study SRP600955. Searching any of these in the dataset finder brings you back here.
Any grouping that defines a comparison lives in the sample characteristics, which GEO records separately from the titles.
How we read this: Read from 91 sample titles: 91 distinct titles with little repetition. 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.
- GSM9108584 CRD007.1
- GSM9108585 CRD062.1
- GSM9108586 CRD064.1
- GSM9108587 CRD068.1
- GSM9108588 CRD075.1
- GSM9108589 CRD080.1
- GSM9108590 CRD083.1
- GSM9108591 CRD084.1
- GSM9108592 CRD086.1
- GSM9108593 CRD112.1
- GSM9108594 CRD117.1
- GSM9108595 PSOR2001.1
- GSM9108596 PSOR2002.1
- GSM9108597 PSOR2003.1
- GSM9108598 PSOR2004.1
- GSM9108599 PSOR2005.1
- GSM9108600 PSOR2006.1
- GSM9108601 PSOR2007.1
- GSM9108602 PSOR2009.1
- GSM9108603 PSOR2010.1
- GSM9108604 PSOR2011.1
- GSM9108605 PSOR2013.1
- GSM9108606 PSOR2014.1
- GSM9108607 PSOR2016.1
- GSM9108608 PSOR2017.1
- GSM9108609 PSOR2018.1
- GSM9108610 PSOR2019.1
- GSM9108611 PSOR2020.1
- GSM9108612 PSOR2021.1
- GSM9108613 PSOR2022.1
- GSM9108614 PSOR2023.1
- GSM9108615 PSOR2024.1
- GSM9108616 PSOR2025.1
- GSM9108617 PSOR2026.1
- GSM9108618 PSOR2027.1
- GSM9108619 PSOR2028.1
- GSM9108620 PSOR2029.1
- GSM9108621 PSOR2030.1
- GSM9108622 PSOR2031.1
- GSM9108623 PSOR2032.1
+ 51 more — browse all 91 samples with per-sample file links →
- GSE232027 Platelet Reactivity ExpreSsion Score Predicts Cardiovascular Risk 84 samples shares cardiovascular, platelet
- GSE274680 Inflammation and lymphocyte activation during longitudinal progression to rheumatoid arthritis in at-risk individuals 243 samples shares activation
- GSE318645 Dual Immune Checkpoint Blockade Induces Distinct Systemic and Intratumoral Immune Activation in Recurrent Glioblastoma 226 samples shares activation
- GSE254732 Inhibition of PCSK9 with evolocumab modulates lipoproteins and monocyte activation in high-risk ASCVD subjects 215 samples shares activation
- GSE269335 Single-cell multimodal profiling of monocytes reveals diverse phenotypes and alterations linked to cardiovascular disease risks 118 samples shares cardiovascular
- GSE273700 Whole transcriptome analysis reveals T cell signaling activation in septic patients with thrombocytopenia 104 samples shares activation
- GSE211434 Diverse immune suppressing cancer communications with myeloid cells prevent T cell activation and recruitment and provide resistance to cell cycle inhibitor therapy 81 samples shares activation
- GSE318865 Placental gene signatures associated with high neonatal adiposity: role for immune cell activation 79 samples shares activation
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.