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Transcriptome sequencing of palmitic acid-treated HepG2 cells upon intervention of curcumin or curcumin-copper complex

GSE270357 Homo sapiens (human) RNA-seq (gene expression) 9 samples Submitted 2026/06/19 Platform GPL34284
At a glance

RNA-seq (gene expression) · human · 9 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
9 samples: 3 × PA treated HepG2 cells vs 3 × PA treated HepG2 cells for Cur incubation vs 3 × PA treated HepG2 cells for Cur and copper incubationGroups 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)
Globally, non-alcoholic fatty liver disease (NAFLD) poses a major risk to human health. The natural polyphenol curcumin (Cur) can act as a copper (Cu) transporter in a Cur-Cu complex for enhanced Cu cell loading, but the effects of such a complex on NAFLD remain unclear. HepG2 liver cancer cells were treated with palmitic acid (PA) to create an in-vitro NAFLD model. And the purpose of this study was to investigate the impacts of a Cur- Cu complex on this model, and its potential mechanisms and targets in the reduction of fatty-acid accumulation in HepG2 cells.
This dataset
Open GSE270357 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 GSE270357_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 PRJNA1126246 and SRA study SRP515143. Searching any of these in the dataset finder brings you back here.

NCBI GEO page ↗
Study design
3 × PA treated HepG2 cells vs 3 × PA treated HepG2 cells for Cur incubation vs 3 × PA treated HepG2 cells for Cur and copper incubation

Supports a between-group comparison across 9 samples.

How we read this: 3 replicated groups read from 9 sample titles; they account for 9 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
Datasets on a similar topic

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.