Evidence map›Paper›PMID 36733943›Full record

ArticleFrontiers in genetics2022

Preclinical species gene expression database: Development and meta-analysis.

Caitlin Krause, Kinga Suwada, Eric A G Blomme, Kenneth Kowalkowski, Michael J Liguori, Prathap Kumar Mahalingaiah, Scott Mittelstadt, Richard Peterson, Lauren Rendino, Andy Vo and 1 more

Open access · goldAbstract read
In one paragraph

Article in Frontiers in genetics, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
4.6field-weighted citation impact, top 5% of its field
1 · What the graph read from it

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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

9 citing papers in PubMed, 15 citations in OpenAlex.

  1. Hepatic cellular stress response pathways exhibit species differences in basal and inducible activity.Toxicological sciences : an official journal of the Society of Toxicology · 2026
    Article
  2. Article
  3. Review
  4. Review
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

11 authors at 1 institution in 1 country.

Caitlin KrauseR & D Data Solutions, AbbVie, North Chicago, IL, United States.
Kinga SuwadaDevelopment Biological Sciences, AbbVie, North Chicago, IL, United States.
Eric A G BlommeDevelopment Biological Sciences, AbbVie, North Chicago, IL, United States.
Kenneth KowalkowskiDevelopment Biological Sciences, AbbVie, North Chicago, IL, United States.
Michael J LiguoriDevelopment Biological Sciences, AbbVie, North Chicago, IL, United States.
Prathap Kumar MahalingaiahDevelopment Biological Sciences, AbbVie, North Chicago, IL, United States.
Scott MittelstadtDevelopment Biological Sciences, AbbVie, North Chicago, IL, United States.
Richard PetersonDevelopment Biological Sciences, AbbVie, North Chicago, IL, United States.
Lauren RendinoDevelopment Biological Sciences, AbbVie, North Chicago, IL, United States.
Andy VoDevelopment Biological Sciences, AbbVie, North Chicago, IL, United States.
Terry R Van VleetDevelopment Biological Sciences, AbbVie, North Chicago, IL, United States.
AbbVie (United States) · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The evaluation of toxicity in preclinical species is important for identifying potential safety liabilities of experimental medicines. Toxicology studies provide translational insight into potential adverse clinical findings, but data interpretation may be limited due to our understanding of cross-species biological differences. With the recent technological advances in sequencing and analyzing omics data, gene expression data can be used to predict cross species biological differences and improve experimental design and toxicology data interpretation. However, interpreting the translational significance of toxicogenomics analyses can pose a challenge due to the lack of comprehensive preclinical gene expression datasets. In this work, we performed RNA-sequencing across four preclinical species/strains widely used for safety assessment (CD1 mouse, Sprague Dawley rat, Beagle dog, and Cynomolgus monkey) in ∼50 relevant tissues/organs to establish a comprehensive preclinical gene expression body atlas for both males and females. In addition, we performed a meta-analysis across the large dataset to highlight species and tissue differences that may be relevant for drug safety analyses. Further, we made these databases available to the scientific community. This multi-species, tissue-, and sex-specific transcriptomic database should serve as a valuable resource to enable informed safety decision-making not only during drug development, but also in a variety of disciplines that use these preclinical species.

Indexed as

atlasgenepre-clinicalRNAseqtissuetranscript

Identifiers

PMID36733943
PMCPMC9887474
OpenAlexW4317103838

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.