Evidence map›Paper›PMID 40571240›Full record

ArticleRegulatory toxicology and pharmacology : RTP2025

Comparison of whole transcriptome and targeted RNA sequencing for ecological high-throughput transcriptomics.

Daniel L Villeneuve, Mackenzie Nash, Adam Biales, Kendra Bush, Garrett Evensen, Logan Everett, Jonathan Haselman, Monique Hazemi, Michelle Le, Helen Poynton and 4 more

Abstract readComparative Study
In one paragraph

Article in Regulatory toxicology and pharmacology : RTP, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

14 authors.

Daniel L VilleneuveUnited States Environmental Protection Agency, Great Lakes Toxicology and Ecology Division, 6201 Congdon Blvd, Duluth, MN, 55804, USA. Electronic address: villeneuve.dan@epa.gov.
Mackenzie NashOak Ridge Institute for Science and Education Research Participant at U.S. EPA, Great Lakes Toxicology and Ecology Division, 6201 Congdon Blvd, Duluth, MN, 55804, USA.
Adam BialesUnited States Environmental Protection Agency, Great Lakes Toxicology and Ecology Division, 26 W. Martin Luther King Drive, Cincinnati, OH, 45520, USA.
Kendra BushOak Ridge Institute for Science and Education Research Participant at U.S. EPA, Great Lakes Toxicology and Ecology Division, 6201 Congdon Blvd, Duluth, MN, 55804, USA.
Garrett EvensenUniversity of Massachusetts, Boston, School for the Environment, 100 Morrissey Blvd, Boston, MA, 02125, USA.
Logan EverettUnited States Environmental Protection Agency, Biomolecular and Computational Toxicology Division, 109 T.W. Alexander Drive, Research Triangle Park, NC, 27711, USA.
Jonathan HaselmanUnited States Environmental Protection Agency, Great Lakes Toxicology and Ecology Division, 6201 Congdon Blvd, Duluth, MN, 55804, USA.
Monique HazemiOak Ridge Institute for Science and Education Research Participant at U.S. EPA, Great Lakes Toxicology and Ecology Division, 6201 Congdon Blvd, Duluth, MN, 55804, USA; United States Environmental Protection Agency, Biomolecular and Computational Toxicology Division, 109 T.W. Alexander Drive, Research Triangle Park, NC, 27711, USA.
Michelle LeOak Ridge Institute for Science and Education Research Participant at U.S. EPA, Great Lakes Toxicology and Ecology Division, 6201 Congdon Blvd, Duluth, MN, 55804, USA.
Helen PoyntonUniversity of Massachusetts, Boston, School for the Environment, 100 Morrissey Blvd, Boston, MA, 02125, USA.
Bruce SeligmannBioSpyder Technologies, Inc., Carlsbad, CA, 92008, USA.
Leah WehmasUnited States Environmental Protection Agency, Chemical Characterization and Exposure Division, 109 T.W. Alexander Drive, Research Triangle Park, NC, 27711, USA.
Joanne YeakleyBioSpyder Technologies, Inc., Carlsbad, CA, 92008, USA.
Kevin FlynnUnited States Environmental Protection Agency, Great Lakes Toxicology and Ecology Division, 6201 Congdon Blvd, Duluth, MN, 55804, USA.

Funding

Intramural EPA EPA999999
6 · The paper itself

Abstract

In 2019, the US EPA organized a federal government challenge aimed at identifying and evaluating low cost, high-throughput, RNA sequencing technologies that could support the aims of a new program in ecological high-throughput transcriptomics. Innovators worldwide were invited to demonstrate their solutions in an open competition. Each responding Solver was provided a set of nine pooled RNA samples from each of four species of aquatic organisms (n = 36 samples total). Five Solutions submitted by three Solver teams were evaluated according to a pre-defined scoring rubric that considered accuracy, precision, transcriptome coverage for each species, cost per sample, and throughput. A targeted approach (TempO-Seq) that employed sentinel gene sets representing 5-11 % of the whole transcriptome was ranked as the top solution. However, all were viable approaches and had specific strengths and weaknesses. In a follow up investigation, transcriptomic points of departure based on a sentinel gene set were generally found to fall within a factor of 10 or less of those based on whole transcriptome sequencing. Results support the conclusion that a wide range of sequencing technologies and approaches are suitable for the work. Detailed and transparent reporting of the approaches used will help support uptake in science-based decision-making.

Indexed as

Aquatic OrganismsGene Expression ProfilingHigh-Throughput Nucleotide SequencingSequence Analysis, RNATranscriptomeAnimalsComputational toxicologyEcotoxicologyFederal prize competitionHigh-throughput transcriptomicsNew approach methods

Identifiers

PMID40571240
PMCPMC12560625

What OpenQuestion 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 OpenQuestion graph.