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Updated: Sep 18, 2025

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Targeted RNA Sequencing Assay to Characterize Gene Expression and Genomic Alterations
Published on: August 4, 2016
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Comparison of whole transcriptome and targeted RNA sequencing for ecological high-throughput transcriptomics.
Daniel L Villeneuve1, Mackenzie Nash2, Adam Biales3
1United States Environmental Protection Agency, Great Lakes Toxicology and Ecology Division, 6201 Congdon Blvd, Duluth, MN, 55804, USA.
Regulatory Toxicology and Pharmacology : RTP
|June 26, 2025
Summary
The US EPA evaluated RNA sequencing technologies for ecological research. Targeted sequencing (TempO-Seq) excelled, but multiple methods proved viable for high-throughput transcriptomics.
Area of Science:
- Environmental science
- Genomics
- Molecular biology
Background:
- The US Environmental Protection Agency (EPA) initiated a challenge to find cost-effective, high-throughput RNA sequencing technologies.
- This initiative supports a new program in ecological high-throughput transcriptomics.
Purpose of the Study:
- To identify and evaluate innovative RNA sequencing technologies for ecological applications.
- To assess the performance of different sequencing approaches based on predefined criteria.
Main Methods:
- A federal government challenge invited global innovators to submit RNA sequencing solutions.
- Five solutions from three teams were tested using nine pooled RNA samples from four aquatic species (36 samples total).
- Evaluation criteria included accuracy, precision, transcriptome coverage, cost per sample, and throughput.
Main Results:
- The targeted TempO-Seq approach, using sentinel gene sets, was ranked highest.
- All submitted solutions demonstrated viability with varying strengths and weaknesses.
- Transcriptomic points of departure using sentinel genes were comparable to whole transcriptome sequencing.
Conclusions:
- A variety of RNA sequencing technologies and approaches are suitable for ecological high-throughput transcriptomics.
- Transparent reporting of methods is crucial for integrating these technologies into science-based decision-making.
- Sentinel gene set approaches offer a viable alternative to whole transcriptome sequencing for certain applications.
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