ArticleScientific reports2017
Global gene expression profiling of healthy human brain and its application in studying neurological disorders.
Article in Scientific reports, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 43 papers.
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Who cites it
43 citing papers in PubMed.
- Proteomic analyses in early brain development and neuropathological implications of fetal growth restriction.Neural regeneration research · 2026Article
- Standardized metrics for assessment and reproducibility of imaging-based spatial transcriptomics datasets.Nature biotechnology · 2026Article
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- Convergent functional networks of intrinsic activity alterations in temporal lobe epilepsy and their molecular correlates.Frontiers in molecular neuroscience · 2026Article
- Erasable serum markers.Proceedings of the National Academy of Sciences of the United States of America · 2025Article
- Analysis of Transcript Expression and Core Promoter DNA Sequences of Brain, Adipose Tissues and Testis in Human and Fruit Fly.International journal of molecular sciences · 2025Article
- Integrative genetic analysis: cornerstone of precision psychiatry.Molecular psychiatry · 2025Review
- Gene expression and alternative splicing analysis in a large-scale Multiple Sclerosis study.medRxiv : the preprint server for health sciences · 2024Article
- An integrated clinical approach to children at genetic risk for neurodevelopmental and psychiatric conditions: interdisciplinary collaboration and research infrastructure.Journal of neurodevelopmental disorders · 2024Article
- Drug targeting in psychiatric disorders - how to overcome the loss in translation?Nature reviews. Drug discovery · 2024Review
- Morphometric similarity differences in drug-naive Parkinson's disease correlate with transcriptomic signatures.CNS neuroscience & therapeutics · 2024Article
- Coexpression network analysis of the adult brain sheds light on the pathogenic mechanism of DDR1 in schizophrenia and bipolar disorder.Translational psychiatry · 2024Article
- Transcriptomics : Approaches to Quantifying Gene Expression and Their Application to Studying the Human Brain.Current topics in behavioral neurosciences · 2024Review
- Gene Co-Expression Analysis of Multiple Brain Tissues Reveals Correlation of FAM222A Expression with Multiple Alzheimer's Disease-Related Genes.Journal of Alzheimer's disease : JAD · 2024Article
- Neuroanatomical location of lung cancer brain metastases in 234 patients with a focus on cancer subtyping and biomarkers.PloS one · 2024Article
- WNT pathway in focal cortical dysplasia compared to perilesional nonlesional tissue in refractory epilepsies.BMC neurology · 2023Article
- Different MAPT haplotypes influence expression of total MAPT in postmortem brain tissue.Acta neuropathologica communications · 2023Article
- Closest horizons of Hsp70 engagement to manage neurodegeneration.Frontiers in molecular neuroscience · 2023Review
- Sex and diet-dependent gene alterations in human and rat brains with a history of nicotine exposure.Frontiers in psychiatry · 2023Article
- Systematic investigation of imprinted gene expression and enrichment in the mouse brain explored at single-cell resolution.BMC genomics · 2022Article
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Abstract
Brain function is governed by precise regulation of gene expression across its anatomically distinct structures; however, the expression patterns of genes across hundreds of brain structures are not clearly understood. Here, we describe a gene expression model, which is representative of the healthy human brain transcriptome by using data from the Allen Brain Atlas. Our in-depth gene expression profiling revealed that 84% of genes are expressed in at least one of the 190 brain structures studied. Hierarchical clustering based on gene expression profiles delineated brain regions into structurally tiered spatial groups and we observed striking enrichment for region-specific processes. Further, weighted co-expression network analysis identified 19 robust modules of highly correlated genes enriched with functional associations for neurogenesis, dopamine signaling, immune regulation and behavior. Also, structural distribution maps of major neurotransmission systems in the brain were generated. Finally, we developed a supervised classification model, which achieved 84% and 81% accuracies for predicting autism- and Parkinson's-implicated genes, respectively, using our expression model as a baseline. This study represents the first use of global gene expression profiling from healthy human brain to develop a disease gene prediction model and this generic methodology can be applied to study any neurological disorder.
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