GEO series

Genome wide expression from esophageal biopsies of subjects with EoE-like inflammatory diseases, eosinophilic esophagitis, gastroesophageal reflux disease and healthy controls

GSE148381 Homo sapiens (human) RNA-seq (gene expression) 51 samples Submitted 2022/02/28 Platform GPL24676

At a glance

RNA-seq (gene expression) · human · 51 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: 51 samples
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.

Summary (written by the submitters)

Esophageal biopsy RNA was isolated from proximal esophageal biopsied RNA from patients with EoE-like inflammatory diseases (EoE-like esophagitis, lymphocytic esophagitis, non-specific esophagitis), patients with active EoE, patients with GERD, and unaffected healthy controls. EoE-like inflammatory disease patients were clinically active at the time when biopsies were taken.

Read the full summary ↓

None of the patients (EoE-like inflammatory diseases, EoE, GERD and controls) were under anti-eosinophil treatment (including dietary restrictions). The quality of the RNA-seq data was assessed using fastqc v. 0.11.5 1) and RSeQC v. 2.6.4 2). The reads were mapped to the reference genome using HiSat2 v. 2.1.0 3). FeatureCounts v. 1.6.0 4) was used to count the number of reads overlapping with each gene as specified in the genome annotation (Homo_sapiens.GRCh38.94). The Bioconducture package DESeq2 5) was used to test for differential gene expression between the experimental groups. TopGo 6) was used to identify gene ontology terms containing unusually many differentially expressed genes. An interactive Shiny application was set up to facilitate the exploration and visualisation of the RNA-seq results. All analyses were run in R version 3.4.4 (2018-03-15)

This dataset

Open GSE148381 in finder → Find more human RNA-seq datasets →

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.

Series matrix ↓

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 GSE148381_RAW.tar (it can run to tens of gigabytes).

All supplementary files ↗ Whole study · RAW.tar ↓

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.

Raw reads on ENA ↗

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 PRJNA626361 and SRA study SRP257242. Searching any of these in the dataset finder brings you back here.

NCBI GEO page ↗ Paper (PMID 35094416) ↗

Samples in this study

The sample list for this study is not cached yet. Press Load samples and it will be fetched from NCBI.

+ 51 more — browse all 51 samples with per-sample file links →

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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.