ReviewNature reviews. Genetics2017
Comparative transcriptomics in human and mouse.
Review in Nature reviews. Genetics, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 220 papers, 3 of them syntheses that pooled 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.
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.
Who cites it
220 citing papers in PubMed, 3 syntheses or guidelines pooled it.
- Gene expression signatures of response to fluoxetine treatment: systematic review and meta-analyses.Molecular psychiatry · 2025Pooled it
- Which experimental factors govern successful animal-to-human translation in multiple sclerosis drug development? A systematic review and meta-analysis.EBioMedicine · 2024Pooled it
- Comparative transcriptomics analysis pipeline for the meta-analysis of phylogenetically divergent datasets (CoRMAP).BMC bioinformatics · 2022Pooled it
- NCBP1 stress signaling drives alternative S6K1 splicing inhibiting translation.Nature chemical biology · 2026Article
- Multi-Layer Transcriptomic Comparison Across Human, Pig, and Mouse Informs Tissue- and Trait-Specific Animal Model Selection.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026Article
- PRMT1-SFPQ regulates intron retention to control matrix gene expression during craniofacial development.eLife · 2026Article
- Article
- In vitro differentiation and phenotypic profiling of Langerhans cell subsets derived from human peripheral blood monocytes.Immunologic research · 2026Article
- Article
- Multi-Omics Integration Reveals the Genetic Mechanisms of Periodontitis and Predicts Therapeutic Drugs.International dental journal · 2026Article
- Rodent Models of Alzheimer's Disease: Bridging the Translational Gap Through Systems-Level Integration.Biomedicines · 2026Review
- Single-cell and bulk RNA sequencing reveal lncRNAs driving neuroimmune responses in Japanese encephalitis.BMC microbiology · 2026Article
- Brain organoids and genome editing: A new era in understanding human brain development and disorders.Neural regeneration research · 2026Article
- Amaranth: enhanced single-cell transcript assembly via discriminative modelling of UMI reads and internal reads.Bioinformatics (Oxford, England) · 2026Article
- A Primate-Specific lncRNA LINC01021 Contributes to Cellular and Organismal Aging via DAZAP1-Dependent Destabilization of RBMX.Aging cell · 2026Article
- How experimental models have unlocked hidden mechanisms of hypersensitivity pneumonitis.European respiratory review : an official journal of the European Respiratory Society · 2026Review
- Review
- Advancement of humanized mice and leading applications in immunological disease models.Inflammation and regeneration · 2026Review
- Challenges in predicting chromatin accessibility differences between species.NAR genomics and bioinformatics · 2026Article
- Deep learning of 777 K bulk transcriptomes reveals human-mouse gene conservation beyond DNA sequence similarity.Communications biology · 2026Article
160 more citing papers are in PubMed but not listed here.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors.
Funding
Abstract
Cross-species comparisons of genomes, transcriptomes and gene regulation are now feasible at unprecedented resolution and throughput, enabling the comparison of human and mouse biology at the molecular level. Insights have been gained into the degree of conservation between human and mouse at the level of not only gene expression but also epigenetics and inter-individual variation. However, a number of limitations exist, including incomplete transcriptome characterization and difficulties in identifying orthologous phenotypes and cell types, which are beginning to be addressed by emerging technologies. Ultimately, these comparisons will help to identify the conditions under which the mouse is a suitable model of human physiology and disease, and optimize the use of animal models.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.