Table · study · 2026
Transcriptional Profiles of Select Histone Deacetylase Inhibitors in Human HepaRG Cells
Listed in NCBI GEO
New approach methods (NAMs), such as human-derived in vitro models integrated with transcriptomic biomarkers, offer an efficient, animal-free means to predict toxic responses.
Description
Biomarkers including GENOMARK and TGx-DDI enable high-throughput transcriptomic analysis and accurate genotoxicant classification. Histone deacetylase inhibitors (HDACi), a class of epigenotoxicants, disrupt chromatin structure and gene expression, which may lead to impaired DNA repair, apoptosis, and cell cycle perturbation.
A transcriptomic biomarker (TGx-HDACi) was previously developed in human TK6 cells to classify HDACi; however, its performance in other cell types is suboptimal. Herein, we conducted a biomarker discovery study to identify a transcriptomic signature capable of discriminating HDACi from non-HDACi compounds in human HepaRG cells, a metabolically competent hepatic cell line increasingly used in genotoxicity testing. HepaRG cells were exposed to 22 reference chemicals (8 HDACi, 14 non-HDACi) at five increasing concentrations in a 72-hour repeated exposure design, and whole transcriptome profiling was performed using TempO-Seq with maximum concentrations selected based on cytotoxicity and solubility thresholds.
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One concentration per compound was used for biomarker development. A nearest shrunken centroid (NSC) approach identified a 102-gene panel (TGx-HDACi-HepaRG) that achieved 100% predictive accuracy by cross-validation and correctly classified compounds across multiple independent analytical approaches. Concentration-response evaluation further demonstrated the biomarker’s ability to identify exposure levels associated with HDAC inhibition.
These findings establish TGx-HDACi-HepaRG as a promising transcriptomic biomarker for epigenotoxicity screening in a metabolically competent human liver model. As this study represents the biomarker discovery phase, future work will focus on external validation using independent chemical sets and case studies to support its application in mechanism-informed chemical risk assessment.
Links
Get the data
- GEO FTP directory ftp.ncbi.nlm.nih.gov/geo/series/GSE341nnn/GSE341318 ↗
download · from NCBI GEO
Where it is published
- GEO accession page ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE341318 ↗
landing page · from NCBI GEO
Documentation and papers
- PRJNA1501341 ncbi.nlm.nih.gov/bioproject/PRJNA1501341 ↗
project · from NCBI GEO
Topics
- Stated by source
- Homo sapiens · Other
- From keywords
- Life Sciences
Provenance · 1 source records, 7 field assertions
| Source | Key | Last seen | Raw |
|---|---|---|---|
| NCBI GEO | GSE341318 | 15 d ago | JSON v1 |
| Field | Assertion | Extractor | Evidence |
|---|---|---|---|
| access_level | source · NCBI GEO | connector:ncbi_geo@1.0.0 | |
| concepts[field].local:field:life-sciences | mapping · NCBI GEO | connector:ncbi_geo@1.0.0 | |
| concepts[method].geo_series_type:other | source · NCBI GEO | connector:ncbi_geo@1.0.0 | /gdstype |
| concepts[organism].NCBITaxon:9606 | source · NCBI GEO | connector:ncbi_geo@1.0.0 | /taxon |
| description | source · NCBI GEO | connector:ncbi_geo@1.0.0 | /summary |
| publication_date | source · NCBI GEO | connector:ncbi_geo@1.0.0 | |
| title | source · NCBI GEO | connector:ncbi_geo@1.0.0 | /title |