ArticleFrontiers in neuroscience2013
Neuron-Enriched Gene Expression Patterns are Regionally Anti-Correlated with Oligodendrocyte-Enriched Patterns in the Adult Mouse and Human Brain.
Article in Frontiers in neuroscience, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers, 1 of them a synthesis that pooled it.
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15 citing papers in PubMed, 1 synthesis or guideline pooled it, 31 citations in OpenAlex.
- Meta-analysis of gene coexpression networks in the post-mortem prefrontal cortex of patients with schizophrenia and unaffected controls.BMC neuroscience · 2013Pooled it
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- Toxic expanded GGGGCC repeat transcription is mediated by the PAF1 complex in C9orf72-associated FTD.Nature neuroscience · 2019Article
- Multimodal gradients across mouse cortex.Proceedings of the National Academy of Sciences of the United States of America · 2019Article
- A molecular hypothesis to explain direct and inverse co-morbidities between Alzheimer's Disease, Glioblastoma and Lung cancer.Scientific reports · 2017Article
- Gene networks show associations with seed region connectivity.Human brain mapping · 2017Article
- Brain transcriptome atlases: a computational perspective.Brain structure & function · 2017Review
- MAPPING NEURONAL CELL TYPES USING INTEGRATIVE MULTI-SPECIES MODELING OF HUMAN AND MOUSE SINGLE CELL RNA SEQUENCING.Pacific Symposium on Biocomputing. Pacific Symposium on Biocomputing · 2017Article
- On Expression Patterns and Developmental Origin of Human Brain Regions.PLoS computational biology · 2016Article
- Cell-type-specific neuroanatomy of cliques of autism-related genes in the mouse brain.Frontiers in computational neuroscience · 2015Article
- Global transcriptome profiling of genes that are differentially regulated during differentiation of mouse embryonic neural stem cells into astrocytes.Journal of molecular neuroscience : MN · 2015Article
- Automated identification of cell-type-specific genes in the mouse brain by image computing of expression patterns.BMC bioinformatics · 2014Article
- Cell-type-based model explaining coexpression patterns of genes in the brain.Proceedings of the National Academy of Sciences of the United States of America · 2014Article
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3 authors at 1 institution in 1 country.
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Abstract
An important goal in neuroscience is to understand gene expression patterns in the brain. The recent availability of comprehensive and detailed expression atlases for mouse and human creates opportunities to discover global patterns and perform cross-species comparisons. Recently we reported that the major source of variation in gene transcript expression in the adult normal mouse brain can be parsimoniously explained as reflecting regional variation in glia to neuron ratios, and is correlated with degree of connectivity and location in the brain along the anterior-posterior axis. Here we extend this investigation to two gene expression assays of adult normal human brains that consisted of over 300 brain region samples, and perform comparative analyses of brain-wide expression patterns to the mouse. We performed principal components analysis (PCA) on the regional gene expression of the adult human brain to identify the expression pattern that has the largest variance. As in the mouse, we observed that the first principal component is composed of two anti-correlated patterns enriched in oligodendrocyte and neuron markers respectively. However, we also observed interesting discordant patterns between the two species. For example, a few mouse neuron markers show expression patterns that are more correlated with the human oligodendrocyte-enriched pattern and vice-versa. In conclusion, our work provides insights into human brain function and evolution by probing global relationships between regional cell type marker expression patterns in the human and mouse brain.
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