Eicosapentaenoic acid induces an anti-inflammatory transcriptomic landscape in T cells implicating a pathway independent of triglyceride lowering in cardiovascular risk reduction.
ChIP-seq / ATAC-seq (genome binding and open chromatin) · human · 64 samples
- What it is
- ChIP-seq / ATAC-seq (genome binding and open chromatin)Where proteins bind the genome, or which regions are open and active.
- Organism
- Homo sapiens (human)
- Samples
- 64 samples: 64 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
- EPA Induces an Anti-Inflammatory Transcriptome in T Cells, Implicating a Triglyceride-Independent Pathway in Cardiovascular Risk ReductionJACC. Basic to translational science · 2025
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 GSE254749_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: Look for peak files (.bed, .narrowPeak) and signal tracks (.bigWig) among the supplementary files; the raw reads are on ENA.
Also filed as BioProject PRJNA1071612 and SRA study SRP486499. 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 64 sample titles: 64 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.
- GSM8042816 D46_EtOH
- GSM8042817 D46_PA100
- GSM8042818 D46_OA100
- GSM8042819 D46_EPA100
- GSM8042820 D47_EtOH
- GSM8042821 D47_PA100
- GSM8042822 D47_OA100
- GSM8042823 D47_EPA100
- GSM8042824 D48_EtOH
- GSM8042825 D48_PA100
- GSM8042826 D48_OA100
- GSM8042827 D48_EPA100
- GSM8042828 D49_EtOH
- GSM8042829 D49_PA100
- GSM8042830 D49_OA100
- GSM8042831 D49_EPA100
- GSM8042832 D50_EtOH
- GSM8042833 D50_PA100
- GSM8042834 D50_OA100
- GSM8042835 D50_EPA100
- GSM8042836 D51_EtOH
- GSM8042837 D51_PA100
- GSM8042838 D51_OA100
- GSM8042839 D51_EPA100
- GSM8042840 D52_EtOH
- GSM8042841 D52_PA100
- GSM8042842 D52_OA100
- GSM8042843 D52_EPA100
- GSM8042844 D53_EtOH
- GSM8042845 D53_PA100
- GSM8042846 D53_OA100
- GSM8042847 D53_EPA100
- GSM8048919 D46_EtOH_RNA-seq
- GSM8048920 D46_PA100_RNA-seq
- GSM8048921 D46_OA100_RNA-seq
- GSM8048922 D46_EPA100_RNA-seq
- GSM8048923 D47_EtOH_RNA-seq
- GSM8048924 D47_PA100_RNA-seq
- GSM8048925 D47_OA100_RNA-seq
- GSM8048926 D47_EPA100_RNA-seq
+ 24 more — browse all 64 samples with per-sample file links →
- 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
- GSE254695 Eicosapentaenoic acid induces an anti-inflammatory transcriptomic landscape in T cells implicating a pathway independent of triglyceride lowering in cardiovascular risk reduction [RNA-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
- GSE261324 NF-κB- and TET2-mediated macrophage reprogramming overrides the anti-inflammatory effects of hypoxia and improves responses in human cancer 88 samples shares anti-inflammatory
- 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
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.