Aperçu: G.M.
La
fonction cérébrale est régie par une régulation précise de l'expression
des gènes dans ses structures anatomiquement distinctes; Cependant, les modèles d'expression des gènes à travers des centaines de structures cérébrales ne sont pas clairement compris. Cette étude représente la première utilisation du profil global
d'expression des gènes à partir du cerveau humain sain pour développer
un modèle de prédiction des gènes pathologiques et cette méthodologie
générique peut être appliquée pour étudier tout trouble neurologique.
Sci Rep. 2017 Apr 18;7(1):897. doi: 10.1038/s41598-017-00952-9.
Global gene expression profiling of healthy human brain and its application in studying neurological disorders
Author information
- 1
- Department of Genetics, Cell Biology and Anatomy, University of Nebraska Medical Center, Omaha, NE, 68198, USA.
- 2
- Department of Genetics, Cell Biology and Anatomy, University of Nebraska Medical Center, Omaha, NE, 68198, USA. babu.guda@unmc.edu
- 3
- Bioinformatics and Systems Biology Core, University of Nebraska Medical Center, Omaha, NE, 68198, USA. babu.guda@unmc.edu.
- 4
- Department of Biochemistry and Molecular Biology, University of Nebraska Medical Center, Omaha, NE, 68198, USA. babu.guda@unmc.edu.
- 5
- Fred and Pamela Buffet Cancer Center, University of Nebraska Medical Center, Omaha, NE, 68198, USA. babu.guda@unmc.edu.
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.
- PMID: 28420888
- DOI: 10.1038/s41598-017-00952-9
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