ArticlePLoS computational biology2016
On Expression Patterns and Developmental Origin of Human Brain Regions.
Article in PLoS computational biology, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.
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Who cites it
18 citing papers in PubMed.
- Shared subcortical-default mode morphological dysconnectivity in adolescent bipolar disorder, major depressive disorder and schizophrenia.Communications biology · 2026Article
- Tumors and their microenvironments: Learning from pediatric brain pathologies.Biochimica et biophysica acta. Reviews on cancer · 2025Review
- Abnormal structural‒functional coupling patterning in progressive supranuclear palsy is associated with diverse gradients and histological features.Communications biology · 2024Article
- Morphological Brain Networks of White Matter: Mapping, Evaluation, Characterization, and Application.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2024Article
- Single cell spatial biology over developmental time can decipher pediatric brain pathologies.Neurobiology of disease · 2024Review
- The clinical utility and diagnostic implementation of human subject cell transdifferentiation followed by RNA sequencing.American journal of human genetics · 2024Article
- Article
- Transcriptomic expression of AMPA receptor subunits and their auxiliary proteins in the human brain.Neuroscience letters · 2021Review
- Human brain region-specific variably methylated regions are enriched for heritability of distinct neuropsychiatric traits.Genome biology · 2021Article
- Organisational and neuromodulatory underpinnings of structural-functional connectivity decoupling in patients with Parkinson's disease.Communications biology · 2021Article
- Association of dopamine DNeuroImage · 2020Article
- Exploration into biomarker potential of region-specific brain gene co-expression networks.Scientific reports · 2020Article
- Article
- Regional transcriptome analysis of AMPA and GABAScientific reports · 2020Article
- Human brain transcriptome analysis finds region- and subject-specific expression signatures of GABACommunications biology · 2019Article
- Neuronal Activities in the Mouse Visual Cortex Predict Patterns of Sensory Stimuli.Neuroinformatics · 2018Article
- Systems level expression correlation of Ras GTPase regulators.Cell communication and signaling : CCS · 2018Article
- Functional fingerprinting for the developing brain using deep metric learning.Imaging neuroscience (Cambridge, Mass.)Article
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Authors and funding
2 authors.
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No grant is acknowledged in the PubMed record.
Abstract
Anatomical substructures of the human brain have characteristic cell-types, connectivity and local circuitry, which are reflected in area-specific transcriptome signatures, but the principles governing area-specific transcription and their relation to brain development are still being studied. In adult rodents, areal transcriptome patterns agree with the embryonic origin of brain regions, but the processes and genes that preserve an embryonic signature in regional expression profiles were not quantified. Furthermore, it is not clear how embryonic-origin signatures of adult-brain expression interplay with changes in expression patterns during development. Here we first quantify which genes have regional expression-patterns related to the developmental origin of brain regions, using genome-wide mRNA expression from post-mortem adult human brains. We find that almost all human genes (92%) exhibit an expression pattern that agrees with developmental brain-region ontology, but that this agreement changes at multiple phases during development. Agreement is particularly strong in neuron-specific genes, but also in genes that are not spatially correlated with neuron-specific or glia-specific markers. Surprisingly, agreement is also stronger in early-evolved genes. We further find that pairs of similar genes having high agreement to developmental region ontology tend to be more strongly correlated or anti-correlated, and that the strength of spatial correlation changes more strongly in gene pairs with stronger embryonic signatures. These results suggest that transcription regulation of most genes in the adult human brain is spatially tuned in a way that changes through life, but in agreement with development-determined brain regions.
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