Bulk RNA-seq of duodenal mucosa of potential Celiac disease with progression
RNA-seq (gene expression) · human · 14 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
- 14 samples: 5 × Negative_Control.c vs 4 × CeD_precurso vs 3 × CeD vs 2 × CeD.cGroups 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
- Mild Duodenal Mucosal Injury and Increased Type I Interferon Signaling Are Preludes to Celiac DiseaseLaboratory investigation; a journal of technical methods and pathology · 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 GSE273155_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 PRJNA1140261 and SRA study SRP522283. Searching any of these in the dataset finder brings you back here.
Supports a between-group comparison across 14 samples.
How we read this: 4 replicated groups read from 14 sample titles; they account for 14 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.
- GSM8423094 CeD.19 CeD
- GSM8423095 CeD.22 CeD
- GSM8423096 CeD.23 CeD
- GSM8423097 CeD_precursor.31 CeD_precurso
- GSM8423098 CeD_precursor.33 CeD_precurso
- GSM8423099 CeD_precursor.34 CeD_precurso
- GSM8423100 CeD_precursor.35 CeD_precurso
- GSM8423101 Negative_Control.c10 Negative_Control.c
- GSM8423102 Negative_Control.c11 Negative_Control.c
- GSM8423103 CeD.c12 CeD.c
- GSM8423104 Negative_Control.c13 Negative_Control.c
- GSM8423105 CeD.c14 CeD.c
- GSM8423106 Negative_Control.c15 Negative_Control.c
- GSM8423107 Negative_Control.c9 Negative_Control.c
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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.