ArticleNeuroImage2017
Spatial gene expression analysis of neuroanatomical differences in mouse models.
Article in NeuroImage, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.
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.
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Who cites it
11 citing papers in PubMed.
- Comprehensive profiling of brain dynamics during anesthesia across phylogeny.Nature neuroscience · 2026Article
- Developmental mouse brain common coordinate framework.Nature communications · 2024Article
- Sex chromosomes and hormones independently influence healthy brain development but act similarly after cranial radiation.Proceedings of the National Academy of Sciences of the United States of America · 2024Article
- The clinical and genetic spectrum of inherited glycosylphosphatidylinositol deficiency disorders.Brain : a journal of neurology · 2024Observational
- Developmental Mouse Brain Common Coordinate Framework.bioRxiv : the preprint server for biology · 2023Article
- Mouse models of immune dysfunction: their neuroanatomical differences reflect their anxiety-behavioural phenotype.Molecular psychiatry · 2022Article
- A diffusion MRI-based spatiotemporal continuum of the embryonic mouse brain for probing gene-neuroanatomy connections.Proceedings of the National Academy of Sciences of the United States of America · 2022Article
- Article
- Exposure to maternal high-fat diet induces extensive changes in the brain of adult offspring.Translational psychiatry · 2021Article
- Longitudinal MEMRI analysis of brain phenotypes in a mouse model of Niemann-Pick Type C disease.NeuroImage · 2020Article
- Mouse MRI shows brain areas relatively larger in males emerge before those larger in females.Nature communications · 2018Article
Corrections and comments
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Authors and funding
15 authors.
Funding
Abstract
MRI is a powerful modality to detect neuroanatomical differences that result from mutations and treatments. Knowing which genes drive these differences is important in understanding etiology, but candidate genes are often difficult to identify. We tested whether spatial gene expression data from the Allen Brain Institute can be used to inform us about genes that cause neuroanatomical differences. For many single-gene-mutation mouse models, we found that affected neuroanatomy was not strongly associated with the spatial expression of the altered gene and there are specific caveats for each model. However, among models with significant neuroanatomical differences from their wildtype controls, the mutated genes had preferential spatial expression in affected neuroanatomy. In mice exposed to environmental enrichment, candidate genes could be identified by a genome-wide search for genes with preferential spatial expression in the altered neuroanatomical regions. These candidates have functions related to learning and plasticity. We demonstrate that spatial gene expression of single-genes is a poor predictor of altered neuroanatomy, but altered neuroanatomy can identify candidate genes responsible for neuroanatomical phenotypes.
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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.