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Omics · study · 2026

An evaluation of transcriptomic points of departure and gene expression profiles for larval fathead minnows (Pimephales promelas) exposed to 22 chemicals with known modes of action

Listed in NCBI GEO

There is a need to generate hazard information for chemicals already in production.

Description

This can be costly and time consuming. Higher-throughput techniques offer a method to effectively contextualize and define the hazard potential posed by chemicals and facilitate risk assessment activities in a rapid manner.

Transcriptomic points of departure (tPODs), derived from the concentration at which global gene expression significantly differs from controls, are expected to precede apical toxicity. Therefore, concentrations below that elicit modulation of gene expression would be unlikely to cause adverse effects, suggesting tPODs could serve as an alternative point of departure for use in screening level hazard assessment. The present study extends previous work with a larval fathead minnow high-throughput transcriptomics assay but employed a targeted transcriptome rather than whole transcriptome approach to generate tPODs for 22 chemicals (pesticides and pharmaceuticals), expanding the diversity of chemical modes of action evaluated.

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One day post hatch fathead minnows were exposed to eight concentrations of two piscicides, three herbicides, four insecticides, seven fungicides, two statins, and four PPAR agonists for 24 h. Following exposures, whole body homogenates were sent for targeted RNA sequencing using TempO-Seq. Concentration response modeling, using measured concentrations where feasible, was applied to all sequencing results to estimate benchmark concentrations and derive tPODs.

The derived tPODs were lower than concentrations that impacted apical endpoints in fish collected from the ECOTOX Knowledgebase in most cases. However, this was not the case when compared to apical effects in other taxa (crustaceans, insects, algae). To investigate the relationships of chemicals within the same mode of action (MoA), exploratory principal component analysis was used as was examining differentially expressed genes between chemicals within modes of action.

Our results showed that the individual genes impacted by chemical exposure rarely clustered within modes of action. The results of this study provide additional data that can be used to examine the applicability of high-throughput assay for possible use in ecological hazard screening

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Life Sciences
Inferred from text
Fisheries sciences 72% · RNA sequencing 75% · Sequencing 75%
Provenance · 1 source records, 9 field assertions
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NCBI GEOGSE30012515 d agoJSON v1
FieldAssertionExtractorEvidence
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concepts[field].local:field:life-sciencesmapping · NCBI GEOconnector:ncbi_geo@1.0.0
concepts[method].geo_series_type:expression-profiling-by-high-throughput-sequencingsource · NCBI GEOconnector:ncbi_geo@1.0.0/gdstype
concepts[modality].local:modality:rna-seqenrichment · NCBI GEOkeyword-concept-rules@1.0.0title+description (75%)
concepts[modality].local:modality:sequencingenrichment · NCBI GEOkeyword-concept-rules@1.0.0title+description (75%)
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publication_datesource · NCBI GEOconnector:ncbi_geo@1.0.0
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