An updated comparison of microarray and RNA-seq for concentration response transcriptomic study: case studies with two cannabinoids, cannabichromene and cannabinol

BMC Genomics, Год журнала: 2025, Номер 26(1)

Опубликована: Апрель 22, 2025

Abstract Background Transcriptomic benchmark concentration (BMC) modeling provides quantitative toxicogenomic information that is increasingly being used in regulatory risk assessment of data poor chemicals. Over the past decade, RNA sequencing (RNA-seq) gradually replacing microarray as major platform for transcriptomic applications due to its higher precision, wider dynamic range, and capability detecting novel transcripts. However, it unclear whether RNA-seq offers substantial advantages over response studies. Results We provide an updated comparison between using two cannabinoids, cannabichromene (CBC) cannabinol (CBN), case The platforms revealed similar overall gene expression patterns with regard both CBC CBN. spite many varieties non-coding transcripts larger numbers differentially expressed genes (DEGs) ranges identified by RNA-seq, displayed equivalent performance identifying functions pathways impacted compound exposure through set enrichment analysis (GSEA). Furthermore, point departure (tPoD) values derived BMC were on same levels Conclusions Considering relatively low cost, smaller size, better availability software public databases interpretation, still a viable method choice traditional such mechanistic pathway identification modeling.

Язык: Английский

Using transcriptomics data and adverse outcome pathway networks to explore endocrine disrupting properties of Cadmium and PCB-126

Environment International, Год журнала: 2025, Номер 197, С. 109352 - 109352

Опубликована: Фев. 26, 2025

Язык: Английский

In vitro to in vivo extrapolation modeling to facilitate the integration of transcriptomics data into genotoxicity assessment

Toxicology, Год журнала: 2025, Номер unknown, С. 154165 - 154165

Опубликована: Апрель 1, 2025

Язык: Английский