Omics · study · 2026
Quantitative transcriptome and proteome maps of classical nonclinical species [b1]
Listed in NCBI GEO
The distribution of expression of target genes can provide insights that advance understanding of target availability to aid therapeutic development purposes.
Description
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 proteinlevels 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 observedexpression profile similarity across tissues that favors species similarity, except for select nervous system and immune tissues.
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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.
Links
Get the data
- GEO FTP directory ftp.ncbi.nlm.nih.gov/geo/series/GSE325nnn/GSE325522 ↗
download · from NCBI GEO
Where it is published
- GEO accession page ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE325522 ↗
landing page · from NCBI GEO
Documentation and papers
- PRJNA1376953 ncbi.nlm.nih.gov/bioproject/PRJNA1376953 ↗
project · from NCBI GEO
- PubMed 42218200 pubmed.ncbi.nlm.nih.gov/42218200 ↗
publication · from NCBI GEO
Topics
- Stated by source
- Expression profiling by high throughput sequencing · Homo sapiens · Mus musculus · Rattus norvegicus · Sus scrofa
- From keywords
- Life Sciences
- Inferred from text
- Genetics 73%
Provenance · 1 source records, 11 field assertions
| Source | Key | Last seen | Raw |
|---|---|---|---|
| NCBI GEO | GSE325522 | 13 d ago | JSON v1 |
| Field | Assertion | Extractor | Evidence |
|---|---|---|---|
| access_level | source · NCBI GEO | connector:ncbi_geo@1.0.0 | |
| concepts[field].anzsrc:group:3105 | enrichment · NCBI GEO | taxonomy-embedding@1.1.0 | title+keywords+description (73%) |
| concepts[field].local:field:life-sciences | mapping · NCBI GEO | connector:ncbi_geo@1.0.0 | |
| concepts[method].geo_series_type:expression-profiling-by-high-throughput-sequencing | source · NCBI GEO | connector:ncbi_geo@1.0.0 | /gdstype |
| concepts[organism].NCBITaxon:10090 | source · NCBI GEO | connector:ncbi_geo@1.0.0 | /taxon |
| concepts[organism].NCBITaxon:10116 | source · NCBI GEO | connector:ncbi_geo@1.0.0 | /taxon |
| concepts[organism].NCBITaxon:9606 | source · NCBI GEO | connector:ncbi_geo@1.0.0 | /taxon |
| concepts[organism].NCBITaxon:9823 | source · NCBI GEO | connector:ncbi_geo@1.0.0 | /taxon |
| description | source · NCBI GEO | connector:ncbi_geo@1.0.0 | /summary |
| publication_date | source · NCBI GEO | connector:ncbi_geo@1.0.0 | |
| title | source · NCBI GEO | connector:ncbi_geo@1.0.0 | /title |