ArticlePLoS biology2023
A comparison of anatomic and cellular transcriptome structures across 40 human brain diseases.
Article in PLoS biology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 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.
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.
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Who cites it
18 citing papers in PubMed, 37 citations in OpenAlex.
- Conserved Pathways, Divergent Outcomes: A Cross-Species Genomic Perspective on the Cancer-Neurodegeneration Paradox.International journal of molecular sciences · 2026Review
- A chromosome region linked to neurodevelopmental disorders influences locomotor behavior through sex-specific neural circuits.Nature communications · 2026Article
- Gray matter microstructure from in vivo diffusion magnetic resonance imaging reflects post mortem neuropathology severity and clinical progression of Alzheimer's disease.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2026Article
- A genome-wide analysis of the shared genetic risk architecture of complex neurological and psychiatric disorders.Nature neuroscience · 2025Article
- Single-Cell RNA Sequencing of the Primary Visual Cortex in Mice With Optic Nerve Injury.Investigative ophthalmology & visual science · 2025Article
- Human-unique brain cell clusters are associated with learning disorders and human episodic memory activity.Molecular psychiatry · 2025Article
- Partial correlation as a tool for mapping functional-structural correspondence in human brain connectivity.Network neuroscience (Cambridge, Mass.) · 2025Article
- Macroscale connectome topographical structure reveals the biomechanisms of brain dysfunction in Alzheimer's disease.Science advances · 2024Article
- Beyond the usual suspects: multi-factorial computational models in the search for neurodegenerative disease mechanisms.Translational psychiatry · 2024Review
- Factor analysis of lifetime psychopathology and its brain morphometric and genetic correlates in a transdiagnostic sample.Translational psychiatry · 2024Article
- Distinctive whole-brain cell types predict tissue damage patterns in thirteen neurodegenerative conditions.eLife · 2024Article
- Open datasets and code for multi-scale relations on structure, function and neuro-genetics in the human brain.Scientific data · 2024Article
- Review
- Co-expression of prepulse inhibition and Schizophrenia genes in the mouse and human brain.Neuroscience applied · 2024Article
- The science of uncertainty guides fetal-neonatal neurology principles and practice: diagnostic-prognostic opportunities and challenges.Frontiers in neurology · 2024Review
- Altered neuroepithelial morphogenesis and migration defects in iPSC-derived cerebral organoids and 2D neural stem cells in familial bipolar disorder.Oxford open neuroscience · 2024Article
- Comparative single-cell transcriptomic analysis of primate brains highlights human-specific regulatory evolution.Nature ecology & evolution · 2023Article
- Interdisciplinary fetal-neonatal neurology training applies neural exposome perspectives to neurology principles and practice.Frontiers in neurology · 2023Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
10 authors at 5 institutions in 2 countries.
Funding
Abstract
Genes associated with risk for brain disease exhibit characteristic expression patterns that reflect both anatomical and cell type relationships. Brain-wide transcriptomic patterns of disease risk genes provide a molecular-based signature, based on differential co-expression, that is often unique to that disease. Brain diseases can be compared and aggregated based on the similarity of their signatures which often associates diseases from diverse phenotypic classes. Analysis of 40 common human brain diseases identifies 5 major transcriptional patterns, representing tumor-related, neurodegenerative, psychiatric and substance abuse, and 2 mixed groups of diseases affecting basal ganglia and hypothalamus. Further, for diseases with enriched expression in cortex, single-nucleus data in the middle temporal gyrus (MTG) exhibits a cell type expression gradient separating neurodegenerative, psychiatric, and substance abuse diseases, with unique excitatory cell type expression differentiating psychiatric diseases. Through mapping of homologous cell types between mouse and human, most disease risk genes are found to act in common cell types, while having species-specific expression in those types and preserving similar phenotypic classification within species. These results describe structural and cellular transcriptomic relationships of disease risk genes in the adult brain and provide a molecular-based strategy for classifying and comparing diseases, potentially identifying novel disease relationships.
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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.