ArticleProceedings of the National Academy of Sciences of the United States of America2014
Cell-type-based model explaining coexpression patterns of genes in the brain.
Article in Proceedings of the National Academy of Sciences of the United States of America, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 40 papers.
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Who cites it
40 citing papers in PubMed.
- Drug Discovery from Gene Expression/Gene Regulation.Methods in molecular biology (Clifton, N.J.) · 2026Review
- Looking at Both Sides: Integrating Data From Both Hemispheres Is Crucial in Rodent Neuroscience.The European journal of neuroscience · 2025Review
- Cell-type-specific densities in mouse somatosensory cortex derived from scRNA-seq andFrontiers in neuroanatomy · 2023Article
- Constructive connectomics: How neuronal axons get from here to there using gene-expression maps derived from their family trees.PLoS computational biology · 2022Article
- Matrix Inversion and Subset Selection (MISS): A pipeline for mapping of diverse cell types across the murine brain.Proceedings of the National Academy of Sciences of the United States of America · 2022Article
- Uncovering Statistical Links Between Gene Expression and Structural Connectivity Patterns in the Mouse Brain.Neuroinformatics · 2021Article
- Prediction of a Cell-Class-Specific Mouse Mesoconnectome Using Gene Expression Data.Neuroinformatics · 2020Article
- Dissecting Brain Networks Underlying Alcohol Binge Drinking Using a Systems Genomics Approach.Molecular neurobiology · 2019Article
- Important advances in Alzheimer's disease from the use of induced pluripotent stem cells.Journal of biomedical science · 2019Review
- A Derived Positional Mapping of Inhibitory Subtypes in the Somatosensory Cortex.Frontiers in neuroanatomy · 2019Article
- Effects of Chronic Spinal Cord Injury on Relationships among Ion Channel and Receptor mRNAs in Mouse Lumbar Spinal Cord.Neuroscience · 2018Article
- Structural covariance networks are coupled to expression of genes enriched in supragranular layers of the human cortex.NeuroImage · 2018Article
- Gene expression links functional networks across cortex and striatum.Nature communications · 2018Article
- Peroxisome Proliferator Activated Receptor Agonists Modulate Transposable Element Expression in Brain and Liver.Frontiers in molecular neuroscience · 2018Article
- BrainScope: interactive visual exploration of the spatial and temporal human brain transcriptome.Nucleic acids research · 2017Article
- Brain transcriptome atlases: a computational perspective.Brain structure & function · 2017Review
- Intra- and interregional coregulation of opioid genes: broken symmetry in spinal circuits.FASEB journal : official publication of the Federation of American Societies for Experimental Biology · 2017Article
- Article
- Comparing the Expression of Genes Related to Serotonin (5-HT) in C57BL/6J Mice and Humans Based on Data Available at the Allen Mouse Brain Atlas and Allen Human Brain Atlas.Neurology research international · 2017Article
- On Expression Patterns and Developmental Origin of Human Brain Regions.PLoS computational biology · 2016Article
Corrections and comments
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Authors and funding
9 authors.
Funding
Abstract
Spatial patterns of gene expression in the vertebrate brain are not independent, as pairs of genes can exhibit complex patterns of coexpression. Two genes may be similarly expressed in one region, but differentially expressed in other regions. These correlations have been studied quantitatively, particularly for the Allen Atlas of the adult mouse brain, but their biological meaning remains obscure. We propose a simple model of the coexpression patterns in terms of spatial distributions of underlying cell types and establish its plausibility using independently measured cell-type-specific transcriptomes. The model allows us to predict the spatial distribution of cell types in the mouse brain.
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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.