ArticleScientific data2026
Quantitative transcriptome and proteome maps of classical nonclinical species.
Article in Scientific data, 2026. 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
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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
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Authors and funding
15 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The distribution of expression of target genes can provide insights that advance understanding of target availability to aid therapeutic development purposes. The increase of use of biologics and novel modalities, combined with the opportunities of alternative to in vivo experimental methods in safety evaluation of new therapeutics. A detailed understanding of expression levels in target tissues is essential to selecting nonclinical species with the highest translational potential. We quantified the relative RNA and protein levels across more than 40 normal tissues and 5 nonclinical species several tissues in human. We identified patterns of cross-species and methodology relationships that can aid in the broader understanding of nonclinical experimental design. We observed expression profile similarity across tissues that favors species similarity, except for select nervous system and immune tissues. In exploring tissue specificity, we identified ubiquitous transcripts that encode tissue-specific proteins. We also assessed discordance between RNA and protein enrichment and revealed potential sites of synthesis and action of secreted proteins. These data and their relationships are foundational assets in toxicology study design and provide insights into biological regulation in drug discovery.
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