NF-κB-dependent redistribution of the GR cistrome recruits GR to inflammatory gene loci and correlates with reduced repression by glucocorticoid
RNA-seq (gene expression) · human · 78 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
- 78 samples: 20 conditions, mostly with about 4 replicates eachGroups 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
- NF-κB-dependent GR cistrome redistribution recruits GR to inflammatory genes but correlates with lesser glucocorticoid-mediated repressioniScience · 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 GSE295743_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 PRJNA1256284 and SRA study SRP581871. Searching any of these in the dataset finder brings you back here.
Supports a between-group comparison across 78 samples.
How we read this: 20 replicated groups read from 78 sample titles; they account for 78 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.
- GSM8956404 A549 cells, NS, 1h, rep1 A549 cells, NS, 1h,
- GSM8956405 A549 cells, NS, 2h, rep1 A549 cells, NS, 2h,
- GSM8956406 A549 cells, NS, 6h, rep1 A549 cells, NS, 6h,
- GSM8956407 A549 cells, NS, 12h, rep1 A549 cells, NS, 12h,
- GSM8956408 A549 cells, NS, 24h, rep1 A549 cells, NS, 24h,
- GSM8956409 A549 cells, IL1B, 1h, rep1 A549 cells, IL1B, 1h,
- GSM8956410 A549 cells, IL1B, 2h, rep1 A549 cells, IL1B, 2h,
- GSM8956411 A549 cells, IL1B, 6h, rep1 A549 cells, IL1B, 6h,
- GSM8956412 A549 cells, IL1B, 12h, rep1 A549 cells, IL1B, 12h,
- GSM8956413 A549 cells, IL1B, 24h, rep1 A549 cells, IL1B, 24h,
- GSM8956414 A549 cells, Bud, 1h, rep1 A549 cells, Bud, 1h,
- GSM8956415 A549 cells, Bud, 2h, rep1 A549 cells, Bud, 2h,
- GSM8956416 A549 cells, Bud, 6h, rep1 A549 cells, Bud, 6h,
- GSM8956417 A549 cells, Bud, 12h, rep1 A549 cells, Bud, 12h,
- GSM8956418 A549 cells, Bud, 24h, rep1 A549 cells, Bud, 24h,
- GSM8956419 A549 cells, IL1B+Bud, 1h, rep1 A549 cells, IL1B+Bud, 1…
- GSM8956420 A549 cells, IL1B+Bud, 2h, rep1 A549 cells, IL1B+Bud, 2…
- GSM8956421 A549 cells, IL1B+Bud, 6h, rep1 A549 cells, IL1B+Bud, 6…
- GSM8956422 A549 cells, IL1B+Bud, 12h, rep1 A549 cells, IL1B+Bud, 1…
- GSM8956423 A549 cells, IL1B+Bud, 24h, rep1 A549 cells, IL1B+Bud, 2…
- GSM8956424 A549 cells, NS, 1h, rep2 A549 cells, NS, 1h,
- GSM8956425 A549 cells, NS, 2h, rep2 A549 cells, NS, 2h,
- GSM8956426 A549 cells, NS, 6h, rep2 A549 cells, NS, 6h,
- GSM8956427 A549 cells, NS, 12h, rep2 A549 cells, NS, 12h,
- GSM8956428 A549 cells, NS, 24h, rep2 A549 cells, NS, 24h,
- GSM8956429 A549 cells, IL1B, 1h, rep2 A549 cells, IL1B, 1h,
- GSM8956430 A549 cells, IL1B, 2h, rep2 A549 cells, IL1B, 2h,
- GSM8956431 A549 cells, IL1B, 6h, rep2 A549 cells, IL1B, 6h,
- GSM8956432 A549 cells, IL1B, 12h, rep2 A549 cells, IL1B, 12h,
- GSM8956433 A549 cells, IL1B, 24h, rep2 A549 cells, IL1B, 24h,
- GSM8956434 A549 cells, Bud, 1h, rep2 A549 cells, Bud, 1h,
- GSM8956435 A549 cells, Bud, 2h, rep2 A549 cells, Bud, 2h,
- GSM8956436 A549 cells, Bud, 6h, rep2 A549 cells, Bud, 6h,
- GSM8956437 A549 cells, Bud, 12h, rep2 A549 cells, Bud, 12h,
- GSM8956438 A549 cells, Bud, 24h, rep2 A549 cells, Bud, 24h,
- GSM8956439 A549 cells, IL1B+Bud, 1h, rep2 A549 cells, IL1B+Bud, 1…
- GSM8956440 A549 cells, IL1B+Bud, 2h, rep2 A549 cells, IL1B+Bud, 2…
- GSM8956441 A549 cells, IL1B+Bud, 6h, rep2 A549 cells, IL1B+Bud, 6…
- GSM8956442 A549 cells, IL1B+Bud, 12h, rep2 A549 cells, IL1B+Bud, 1…
- GSM8956443 A549 cells, IL1B+Bud, 24h, rep2 A549 cells, IL1B+Bud, 2…
+ 38 more — browse all 78 samples with per-sample file links →
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- GSE239775 Quantification of Systemic Inflammation by a Gene Score Uncovers Relevant Features on Acutely Decompensated Cirrhosis 1177 samples shares nf
- GSE292059 Inflammatory Epithelial and Macrophage Pathways Underlie Residual Asthma Exacerbations in Urban Children Treated with Mepolizumab 965 samples shares nf
- GSE282464 Molecular landscape of respiratory infection: A large-scale, multi-centre blood transcriptome dataset 377 samples shares nf
- GSE154200 Skin transcriptome of non-communicable inflammatory skin diseases 376 samples shares nf
- GSE274680 Inflammation and lymphocyte activation during longitudinal progression to rheumatoid arthritis in at-risk individuals 243 samples shares nf
- GSE282122 A longitudinal single-cell atlas of anti-tumour necrosis factor treatment in inflammatory bowel disease 216 samples shares nf
- GSE328048 Single-cell transcriptome reveals keratinocyte subclusters that contribute to altered differentiation and inflammatory responses in atopic dermatitis 116 samples shares nf
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.