Ferulic acid ameliorates TLR4-mediated macrophage activation by irreversibly binding to Peroxiredoxin 1 to inhibit its dimerization and secretion
RNA-seq (gene expression) · mouse · 12 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
- Mus musculus (mouse)
- Samples
- 12 samples: 4 × con vs 4 × FA vs 4 × modGroups 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
- Ferulic acid ameliorates TLR4-mediated macrophage activation by irreversibly binding to peroxiredoxin 1 to inhibit its dimerization and secretionPhytomedicine : international journal of phytotherapy and phytopharmacology · 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 GSE300705_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 PRJNA1279382 and SRA study SRP593565. Searching any of these in the dataset finder brings you back here.
Supports a between-group comparison across 12 samples.
How we read this: 3 replicated groups read from 12 sample titles; they account for 12 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.
- GSM9066853 con1 con
- GSM9066854 con2 con
- GSM9066855 con3 con
- GSM9066856 con4 con
- GSM9066857 FA1 FA
- GSM9066858 FA2 FA
- GSM9066859 FA3 FA
- GSM9066860 FA4 FA
- GSM9066861 mod1 mod
- GSM9066862 mod2 mod
- GSM9066863 mod3 mod
- GSM9066864 mod4 mod
- GSE298181 Fluvastatin protects Leydig cells in orchitis through direct activation of Peroxiredoxin 1 18 samples shares peroxiredoxin, activation
- GSE159459 Molecular characterization of endosomal self RNA Rmrp-engaged TLR3 dimerization to prime innate activation 4 samples shares dimerization, activation
- GSE264673 EPOP Restricts PRC2.1 Targeting to Chromatin by Directly Modulating Enzyme Complex Dimerization (RNA-Seq) 12 samples shares dimerization
- GSE277689 Itaconate modulates immune responses via inhibition of peroxiredoxin 5 12 samples shares peroxiredoxin
- GSE319965 Glucocorticoid eceptor dimerization in tumorigenesis 6 samples shares dimerization
- GSE199320 Targeting peroxiredoxin 2 prevents hepatocarcinogenesis in metabolic liver disease models 6 samples shares peroxiredoxin
- GSE262485 NOTCH dimerization contributes to maintenance of intestinal homeostasis 5 samples shares dimerization
- GSE264672 EPOP Restricts PRC2.1 Targeting to Chromatin by Directly Modulating Enzyme Complex Dimerization (ChIP-Seq) 32 samples shares dimerization
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.