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Characterisation of the regulatory landscape in Crohn’s disease reveals miRNA-associated alterations that shape anti-TNF response

GSE270663 Homo sapiens (human) Non-coding RNA profiling 238 samples Submitted 2025/07/16 Platform GPL24676
At a glance

Non-coding RNA profiling · human · 238 samples

What it is
Non-coding RNA profilingLevels of RNAs that do not code for proteins, such as miRNA or lncRNA.
Organism
Homo sapiens (human)
Samples
238 samples: 119 conditions, mostly in duplicateGroups 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
Characterization of the Regulatory Landscape in Crohn's Disease Reveals microRNA-Associated Alterations that Shape Anti-TNF ResponseInflammatory bowel diseases · 2025
SuperSeries — this record groups several sub-series.
Summary (written by the submitters)
This SuperSeries is composed of the SubSeries listed below.
Published in
Characterization of the Regulatory Landscape in Crohn's Disease Reveals microRNA-Associated Alterations that Shape Anti-TNF Response
Cervera-Seco L, Baldán-Martín M, Fernández-Tomé S et al. · Inflammatory bowel diseases 2025 · PMID 40067082 · doi:10.1093/ibd/izaf029
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 GSE270663_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.

Also filed as BioProject PRJNA1127645 and SRA study SRP515699. Searching any of these in the dataset finder brings you back here.

Study design
119 conditions, mostly in duplicate
Healthy control-1, terminal ileum, basal ×2 Healthy control-1, terminal ileum, infliximab ×2 Healthy control-1, left colon, basal ×2 Healthy control-1, left colon, infliximab ×2 Healthy control-2, terminal ileum, basal ×2 Healthy control-2, terminal ileum, infliximab ×2 Healthy control-2, left colon, basal ×2 Healthy control-2, left colon, infliximab ×2 +111 more

Supports a case/control comparison: 158 samples read as cases, 80 as controls.

How we read this: 119 replicated groups read from 238 sample titles; they account for 238 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

+ 198 more — browse all 238 samples with per-sample file links →

Datasets on a similar topic

Search all human RNA-seq datasets in GEO →

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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.