Eicosapentaenoic acid induces an anti-inflammatory transcriptomic landscape in T cells implicating a pathway independent of triglyceride lowering in cardiovascular risk reduction [RNA-seq]
RNA-seq (gene expression) · human · 32 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
- 32 samples
- 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
- EPA Induces an Anti-Inflammatory Transcriptome in T Cells, Implicating a Triglyceride-Independent Pathway in Cardiovascular Risk ReductionJACC. Basic to translational science · 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 GSE254695_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 PRJNA1071538 and SRA study SRP487089. Searching any of these in the dataset finder brings you back here.
The sample list for this study is not cached yet. Press Load samples and it will be fetched from NCBI.
+ 32 more — browse all 32 samples with per-sample file links →
- GSE254749 Eicosapentaenoic acid induces an anti-inflammatory transcriptomic landscape in T cells implicating a pathway independent of triglyceride lowering in cardiovascular risk reduction. 64 samples shares anti-inflammatory, eicosapentaenoic, cardiovascular, triglyceride, implicating, independent, reduction, lowering
- GSE254468 Eicosapentaenoic acid induces an anti-inflammatory transcriptomic landscape in T cells implicating a pathway independent of triglyceride lowering in cardiovascular risk reduction [ATAC-seq] 32 samples shares anti-inflammatory, eicosapentaenoic, cardiovascular, triglyceride, implicating, independent, reduction, lowering
- GSE303431 Transcriptomic Profiling of Scleroderma Monocytes Reveals Links with Cardiovascular Complications, Implicating Notch and Interferon Pathways 63 samples shares cardiovascular, implicating
- GSE269335 Single-cell multimodal profiling of monocytes reveals diverse phenotypes and alterations linked to cardiovascular disease risks 118 samples shares cardiovascular
- GSE302674 Platelet Activation and a Platelet Biosignature Associates with Enhanced Cardiovascular Risk in Patients with Controlled Psoriasis. 91 samples shares cardiovascular
- GSE232027 Platelet Reactivity ExpreSsion Score Predicts Cardiovascular Risk 84 samples shares cardiovascular
- GSE285037 Faecalibacterium prausnitzii induces an anti-inflammatory response and a metabolic reprogramming in human monocytes 72 samples shares anti-inflammatory
- GSE287726 Transcriptomic signature of frailty in elderly patients with cardiovascular disease 70 samples shares cardiovascular
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.