Evidence map›Paper›PMID 39965138›Full record

ReviewEnvironmental toxicology and chemistry2025

Experimental reporting of fish transcriptomic responses in environmental toxicology and ecotoxicology.

Laura M Langan, Camille G Baettig, Alexander R Cole, Lea Lovin, Kendall Scarlett, Adam R Wronski, Megan E O'Brien, Yesmeena Shmaitelly, Bryan W Brooks

Abstract readReview
In one paragraph

Review in Environmental toxicology and chemistry, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

3 citing papers in PubMed.

  1. Review
  2. Review
  3. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

9 authors.

Laura M LanganDepartment of Environmental Health Sciences, Arnold School of Public Health, University of South Carolina, Columbia, SC, United States.ORCID 0000-0002-2095-7163
Camille G BaettigDepartment of Environmental Science, Baylor University, Waco, TX, United States.
Alexander R ColeDepartment of Environmental Science, Baylor University, Waco, TX, United States.
Lea LovinDepartment of Environmental Science, Baylor University, Waco, TX, United States.
Kendall ScarlettDepartment of Environmental Science, Baylor University, Waco, TX, United States.
Adam R WronskiDepartment of Environmental Science, Baylor University, Waco, TX, United States.ORCID 0000-0002-9013-0452
Megan E O'BrienDepartment of Environmental Science, Baylor University, Waco, TX, United States.
Yesmeena ShmaitellyDepartment of Environmental Science, Baylor University, Waco, TX, United States.
Bryan W BrooksDepartment of Environmental Health Sciences, Arnold School of Public Health, University of South Carolina, Columbia, SC, United States.

Funding

The effects of climate change on the natural attenuation and sedimentary record of harmful algal bloom toxins and microbial signalsP01ES028942 · NIEHS · UNIVERSITY OF SOUTH CAROLINA AT COLUMBIA · PI CHATTERJEE, SAURABH · 2018 to 2022
$5.7M
Baylor UniversityGlasscock Fund for Excellence in Environmental ScienceNational Science Foundation CBET-2042060NIEHS NIH HHS P01 ES028942NIH HHSNIH HHS 1P01ES028942
6 · The paper itself

Abstract

Due to its increasing affordability and efforts to understand transcriptional responses of organisms to biotic and abiotic stimuli, transcriptomics has become an important tool with significant impact on toxicological investigations and hazard and risk assessments, especially during development and application of new approach methodologies (NAMs). Data generated using transcriptomic methodologies have directly informed adverse outcome pathway frameworks, chemical and biological read across, and aided in the identification of points of departure. Using data reporting frameworks for transcriptomics data offers improved transparency and reproducibility of research and an opportunity to identify barriers to adoption of these NAMs, especially in environmental toxicology and ecotoxicology with aquatic models. Improved reporting also allows for reexamination of existing data, limiting needs for experiment replication and further reducing animal experimentation. Here, we use a standardized form of data reporting for omics-based studies, the Organisation for Economic Co-operation and Development omics reporting framework, which specifically reports on a list of parameters that should be included in transcriptomics studies used in a regulatory context. We focused specifically on fish studies using RNA- Sequencing (Seq)/microarray technologies within a toxicology context. Inconsistencies in reporting and methodologies among the experimental designs (toxicology vs. molecular characterization) were observed in addition to foundational differences in reporting of sample concentration or preparation or quality assessments, which can affect reproducibility and read across, confidence in results, and contribute substantially to understanding molecular mechanisms of toxicants and toxins. Our findings present an opportunity for improved research reporting. We also provide several recommendations as logical steps to reduce barriers to adoption of transcriptomics within environmental toxicology and ecotoxicology.

Indexed as

EcotoxicologyFishesTranscriptomeAnimalsWater Pollutants, ChemicalWater Pollutants, Chemicalaquatic toxicologyenvironmental toxicologyreproducibilitytranscriptomics

Identifiers

PMID39965138
PMCPMC12394885

What Socratic holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.