GEO series

Transcriptional profiling of liver biopsies of precancerous viral hepatitis patients: Training cohort

GSE237330 Homo sapiens (human) RNA-seq (gene expression) 56 samples Submitted 2025/12/02 Platform GPL20301

At a glance

RNA-seq (gene expression) · human · 56 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: 56 samples: 56 × Patient XGroups 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.

Summary (written by the submitters)

We used RNA-seq to map the transcriptomes of archived formalin-fixed paraffin-embedded (FFPE) liver biopsies from precancerous chronic viral hepatitis patients with known clinical outcome. This Series contains the training cohort used to generate the predictive transcriptomic signature.

This dataset

Open GSE237330 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 GSE237330_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 PRJNA994585 and SRA study SRP449433. Searching any of these in the dataset finder brings you back here.

NCBI GEO page ↗

Study design

56 × Patient X

Supports a between-group comparison across 56 samples.

How we read this: 1 replicated groups read from 56 sample titles; they account for 56 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

GSM7610039 Patient X001 Patient X
GSM7610040 Patient X003 Patient X
GSM7610041 Patient X005 Patient X
GSM7610042 Patient X006 Patient X
GSM7610043 Patient X008 Patient X
GSM7610044 Patient X009 Patient X
GSM7610045 Patient X010 Patient X
GSM7610046 Patient X011 Patient X
GSM7610047 Patient X012 Patient X
GSM7610048 Patient X013 Patient X
GSM7610049 Patient X016 Patient X
GSM7610050 Patient X017 Patient X
GSM7610051 Patient X019 Patient X
GSM7610052 Patient X020 Patient X
GSM7610053 Patient X021 Patient X
GSM7610054 Patient X023 Patient X
GSM7610055 Patient X024 Patient X
GSM7610056 Patient X025 Patient X
GSM7610057 Patient X026 Patient X
GSM7610058 Patient X027 Patient X
GSM7610059 Patient X028 Patient X
GSM7610060 Patient X029 Patient X
GSM7610061 Patient X030 Patient X
GSM7610062 Patient X033 Patient X
GSM7610063 Patient X034 Patient X
GSM7610064 Patient X035 Patient X
GSM7610065 Patient X036 Patient X
GSM7610066 Patient X037 Patient X
GSM7610067 Patient X039 Patient X
GSM7610068 Patient X040 Patient X
GSM7610069 Patient X041 Patient X
GSM7610070 Patient X042 Patient X
GSM7610071 Patient X043 Patient X
GSM7610072 Patient X044 Patient X
GSM7610073 Patient X050 Patient X
GSM7610074 Patient X052 Patient X
GSM7610075 Patient X053 Patient X
GSM7610076 Patient X055 Patient X
GSM7610077 Patient X056 Patient X
GSM7610078 Patient X058 Patient X

+ 16 more — browse all 56 samples with per-sample file links →

Datasets on a similar topic

GSE237332 Transcriptional profiling of liver biopsies of precancerous viral hepatitis patients 106 samples shares precancerous, hepatitis, biopsies, liver, viral
GSE318225 Development of an Optimized Epigenetic Silencer to Transcriptionally Inactivate Viral DNA in Chronic Hepatitis B [RNAseq] 218 samples shares hepatitis, viral
GSE267834 Hepatitis C Virus-induced Differential Transcriptional Traits in Host Cells After Persistent Infection Elimination by Direct-Acting Antivirals In Cell Culture 28 samples shares hepatitis, viral
GSE281797 Transcriptomic profiles of liver biopsies in obese patients with metabolic dysfunction-associated steatotic liver disease 94 samples shares biopsies, liver
GSE303271 RNA-seq of liver biopsies from patients with pediatric autoimmune liver disease 64 samples shares biopsies, liver
GSE274114 Metabolic dysfunction-associated steatohepatitis reduces interferon and macrophage liver gene signatures in chronic HBV patients 39 samples shares hepatitis, liver
GSE229609 Multicellular liver organoid model for recapitulating hepatitis C virus infection and non-alcoholic fatty liver disease progression 15 samples shares hepatitis, liver
GSE229596 Multicellular liver organoid model for recapitulating hepatitis C virus infection and non-alcoholic fatty liver disease progression [RNA-Seq] 12 samples shares hepatitis, liver

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.