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Transcriptome profiling of SKHEP1 cells and differentiated SKHEP1 cells induced by knockdown of SETDB1 using RNA-sequencing

GSE295159 Homo sapiens (human) RNA-seq (gene expression) 2 samples Submitted 2026/06/01 Platform GPL24676
At a glance

RNA-seq (gene expression) · human · 2 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
2 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)
The core proeprty of cancer cells is neural stemness, which determines tumorigenicity and pluripotency. Therefore, cancer cells can supposedly be induced to differentiate along different lineages. SKHEP1 is a human hepatocellular carcinoma cell line. SETDB1 is an epigenetic modification factor responsible for catalyzing the histone modification H3K9me3.
Read the full summary ↓
Transcription of SETDB1 gene is enriched in embryonic neural cells during vertebrate embryogenesis. SETDB1 is upregulated in cancer cells and promotes cancers. We found that knockdown of SETDB1 in SKHEP1 cells led to a neuronal-like differentiation phenotype.
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 GSE295159_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.

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 PRJNA1253642 and SRA study SRP580198. Searching any of these in the dataset finder brings you back here.

Samples in this study

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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.