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Next Generation Sequencing facilitates to identify the differential expression genes between tumor (T1-8) and non-tumor tissue (NT1-8) from HBV-infected hepatocellular cacinoma (HCC) patients.

GSE208036 Homo sapiens (human) RNA-seq (gene expression) 15 samples Submitted 2024/11/30 Platform GPL16791
At a glance

RNA-seq (gene expression) · human · 15 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)
Topic
Hepatocellular carcinomaThis series is part of our curated briefing on it.
Samples
15 samples: 8 × liver,non-tumor tissue,biol vs 7 × liver,tumor tissue,biolGroups 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)
To find the key gene regulating HBV-infected hepacellular cacinoma genesis and development. We selected tumor (T1-8) and non-tumor tissue (NT1-8) from HBV-infected hepatocellular cacinoma (HCC) patients perform next-generation sequencing (NGS). Illumina mRNA-seq sample preparation kit was used to perform paired-end library sequencing with Illumina HiSeq 2000 and sequence analysis was determined using the Illumina data analysis pipeline.
Read the full summary ↓
Based on the comparison results，we performed the GO and KEGG pathway enrichment analysis. That might suggest the key gene regulating HBV-infected hepacellular cacinoma genesis and development.
This dataset
Open GSE208036 in finder → Find more human RNA-seq datasets → Hepatocellular carcinoma landscape →
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 GSE208036_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 PRJNA858039 and SRA study SRP386094. Searching any of these in the dataset finder brings you back here.

NCBI GEO page ↗
Study design
8 × liver,non-tumor tissue,biol vs 7 × liver,tumor tissue,biol

Supports a between-group comparison across 15 samples.

How we read this: 2 replicated groups read from 15 sample titles; they account for 15 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
More Hepatocellular carcinoma datasets

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.