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RXR binding pattern in human PMA-differentiated THP-1 cells upon ligand stimulation [RNA-seq]

GSE315572 Homo sapiens (human) RNA-seq (gene expression) 9 samples Submitted 2026/05/14 Platform GPL30173
At a glance

RNA-seq (gene expression) · human · 9 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
9 samples: 3 × hs_THP1_6h_vehicle_RNAseq vs 3 × hs_THP1_6h_Calcitriol_100nM_RNAseq vs 3 × hs_THP1_6h_combined_six_ligands_RNAseqGroups 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
Genome-wide chromatin profiling reveals a nonlimiting role for RXR in macrophage-like cells stimulated with multiple nuclear receptor agonistsThe Journal of biological chemistry · 2026
Summary (written by the submitters)
Retinoid X receptors (RXRs) act as obligate dimerisation partners for multiple nuclear receptors (NRs), each with distinct regulatory functions. In this study, human PMA-differentiated THP-1 (PMA-THP-1) cells were treated with single or combined ligands for RXR or six partners for 2 hours, and the genomic binding landscape of RXR was investigated using ChIP-seq.
Read the full summary ↓
RXR genomic binding regions were also mapped following 1 hour of treatment with vehicle or 1,25-vitD using ChIP-seq. In addition, histone H3 lysine 27 acetylation (H3K27ac) was mapped following 6 hours of treatment with vehicle or 1,25-vitD using ChIP-seq. In parallel, RNA-seq was performed on PMA-THP-1 cells following 6 hours of treatment with vehicle, 1,25-vitD or combined ligands to identify and compare the regulated gene sets.
Published in
Genome-wide chromatin profiling reveals a nonlimiting role for RXR in macrophage-like cells stimulated with multiple nuclear receptor agonists
Mianesaz H, Göczi L, Bojcsuk D et al. · The Journal of biological chemistry 2026 · PMID 42031173 · doi:10.1016/j.jbc.2026.111486
This dataset
Download · which file do I need?

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.

1 · Just have a look

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.

2 · Re-analyse it

Supplementary files

The count tables and other files the authors uploaded. Take only the samples you need, or the whole study as GSE315572_RAW.tar (it can run to tens of gigabytes).

3 · Start from the raw reads

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 PRJNA1398279 and SRA study SRP659741. Searching any of these in the dataset finder brings you back here.

Study design
3 × hs_THP1_6h_vehicle_RNAseq vs 3 × hs_THP1_6h_Calcitriol_100nM_RNAseq vs 3 × hs_THP1_6h_combined_six_ligands_RNAseq

Supports a between-group comparison across 9 samples.

How we read this: 3 replicated groups read from 9 sample titles; they account for 9 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.

Samples in this study
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