Effects of dexamethasone and KLA on HepG2 gene expression
RNA-seq (gene expression) · human · 12 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
- 12 samples: 3 × DMSO 0.1% (vehicle control), vs 3 × Dex 50nM, vs 3 × KLA 100ng/µl, vs 3 × Dex + KLA,Groups 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.
- Paper
- Activation of steroid hormone receptors by metabolism-disrupting chemicalsToxicology and applied pharmacology · 2025
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.
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.
Supplementary files
The count tables and other files the authors uploaded. Take only the samples you need, or the whole study as GSE278602_RAW.tar (it can run to tens of gigabytes).
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 PRJNA1168060 and SRA study SRP536194. Searching any of these in the dataset finder brings you back here.
Supports a between-group comparison across 12 samples.
How we read this: 4 replicated groups read from 12 sample titles; they account for 12 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.
- GSM8551084 DMSO 0.1% (vehicle control), rep 1 DMSO 0.1% (vehicle cont…
- GSM8551085 DMSO 0.1% (vehicle control), rep 2 DMSO 0.1% (vehicle cont…
- GSM8551086 DMSO 0.1% (vehicle control), rep 3 DMSO 0.1% (vehicle cont…
- GSM8551087 Dex 50nM, rep 1 Dex 50nM,
- GSM8551088 Dex 50nM, rep 2 Dex 50nM,
- GSM8551089 Dex 50nM, rep 3 Dex 50nM,
- GSM8551090 KLA 100ng/µl, rep 1 KLA 100ng/µl,
- GSM8551091 KLA 100ng/µl, rep 2 KLA 100ng/µl,
- GSM8551092 KLA 100ng/µl, rep 3 KLA 100ng/µl,
- GSM8551093 Dex + KLA, rep 1 Dex + KLA,
- GSM8551094 Dex + KLA, rep 2 Dex + KLA,
- GSM8551095 Dex + KLA, rep 3 Dex + KLA,
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- GSE244707 Digital transformation of herbal medicine: Conversion to biological entity data using tonifying herbal medicine-induced transcriptome sequencing_Tonifying_HepG2 270 samples shares hepg2
- GSE248976 Digital transformation of herbal medicine: Conversion to biological entity data using digestive herbal medicine-induced transcriptome sequencing_second_HepG2 267 samples shares hepg2
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.