A recent paper in Computational Toxicology describes the FAIR knowledge infrastructure supporting RISK-HUNT3R and shows how transcriptomic evidence generated with TempO-Seq can contribute to human-relevant, animal-free Next Generation Risk Assessment.
Connecting toxicogenomics with Next Generation Risk Assessment
RISK-HUNT3R is a European research initiative developing human-centric testing strategies for chemical safety assessment. Its approach integrates New Approach Methodologies (NAMs), including in vitro and in silico methods, into mechanism-based Next Generation Risk Assessment (NGRA) workflows designed to reduce reliance on animal testing.
Within this research landscape, TempO-Seq-generated transcriptomic datasets provide molecular evidence on how biological systems respond to chemical exposure. These gene-expression measurements can support the investigation of affected pathways, mechanisms of action and biological responses relevant to toxicology and safety assessment.
Why TempO-Seq fits high-throughput toxicology
TempO-Seq is a targeted sequencing technology for high-throughput gene-expression profiling. It can analyse cell lysates directly, without RNA extraction, cDNA conversion or preamplification, simplifying the path from biological sample to sequencing-ready library. Sample barcoding and short sequencing reads support the efficient processing of large experimental studies.
For toxicogenomics and NAM-based programmes, these workflow characteristics are important because transcriptomic evidence often needs to be generated across many chemicals, concentrations, time points, biological models and replicates. A scalable and standardized approach can help researchers produce comparable molecular measurements while retaining the mechanistic information needed for interpretation.
- Direct-from-lysate gene-expression profiling that reduces sample-preparation steps
- High sample throughput for multi-condition toxicology study designs
- Targeted, consistent measurements across defined transcriptomic panels
- Flexible content, from whole-transcriptome panels to focused mechanistic signatures
- Data suitable for integration with pathway analysis, predictive models and other lines of evidence
From transcriptomic measurements to FAIR evidence
The RISK-HUNT3R publication focuses on knowledge infrastructure built around the FAIR principles: Findable, Accessible, Interoperable and Reusable. It describes harmonized templates, curated records, knowledge graphs and connected analysis resources intended to make data easier to locate, interpret, compare and reuse.
This context is particularly relevant to toxicogenomics. Generating transcriptomic data is only the first step. To strengthen evidence integration across studies and organizations, molecular measurements must be accompanied by clear experimental metadata and connected with chemical information, predictive models and mechanistic frameworks such as Adverse Outcome Pathways (AOPs).
TempO-Seq therefore contributes at the point where scalable experimental technology meets reusable data infrastructure: generating consistent gene-expression measurements that can be incorporated into broader NAM and NGRA workflows for mechanistic interpretation and weight-of-evidence assessment.
Supporting human-relevant, animal-free safety assessment
The RISK-HUNT3R paper highlights a central challenge for modern chemical safety assessment: experimental methods, computational tools and data standards must work together. High-throughput transcriptomics can help describe biological responses at molecular and pathway levels, while FAIR infrastructure helps preserve the context needed to interpret and reuse those results.
By combining streamlined, direct-from-lysate profiling with high sample throughput and flexible assay content, TempO-Seq offers a practical route to generating transcriptomic evidence for toxicology research, New Approach Methodologies and Next Generation Risk Assessment.
Explore TempO-Seq for toxicology and NAM studies
Discover how scalable transcriptomic profiling can support mechanistic toxicology, high-throughput screening and evidence integration.
Publication
Knowledge infrastructure supporting next generation risk assessment
