ArticleRegulatory toxicology and pharmacology : RTP2025
Comparison of whole transcriptome and targeted RNA sequencing for ecological high-throughput transcriptomics.
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.
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.
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.
Who cites it
0 citing papers in PubMed.
No citing paper in PubMed yet.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
14 authors.
Funding
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
Identifiers
What OpenQuestion holds
Registered trials
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.