mRNA-Seq of Danio rerio exposed to different concentrations of sucralose against untreated control groups
The experiment investigates how the artificial sweetener sucralose affects gene expression in the teleost fish Danio rerio in order to derive mechanistic information relevant for environmental risk assessment. The main test including transcriptomics, was conducted with 10 µg/L and 100 mg/L as test concentrations. Pooled animals from each exposure group and corresponding controls were sampled after 96 hours for whole-animal RNA extraction, and poly(A)-enriched RNA was sequenced (paired-end, 150 bp) on an Illumina NovaSeq platform, followed by alignment to the Danio rerio reference genome and differential expression analysis using a DESeq2-based workflow with independent hypothesis weighting, data-driven log2 fold-change thresholds, and multiple-testing correction to define robust sets of differentially expressed genes per substance and concentration. Overrepresentation analysis of Gene Ontology terms using a common detected-gene background then mapped these gene-level changes to biological processes.
The experiment investigates how the artificial sweetener sucralose affects gene expression in the teleost fish Danio rerio in order to derive mechanistic information relevant for environmental risk assessment. The main test including transcriptomics, was conducted with 10 µg/L and 100 mg/L as test concentrations. Pooled animals from each exposure group and corresponding controls were sampled after 96 hours for whole-animal RNA extraction, and poly(A)-enriched RNA was sequenced (paired-end, 150 bp) on an Illumina NovaSeq platform, followed by alignment to the Danio rerio reference genome and differential expression analysis using a DESeq2-based workflow with independent hypothesis weighting, data-driven log2 fold-change thresholds, and multiple-testing correction to define robust sets of differentially expressed genes per substance and concentration. Overrepresentation analysis of Gene Ontology terms using a common detected-gene background then mapped these gene-level changes to biological processes.
European Bioinformatics Institute