Integration of transcriptomic and cytoarchitectonic data implicates a role for MAOA and TAC1 in the limbic-cortical network.
Sebastian BludauThomas W MühleisenSimon B EickhoffMichael J HawrylyczSven CichonKatrin AmuntsPublished in: Brain structure & function (2018)
Decoding the chain from genes to cognition requires detailed insights how areas with specific gene activities and microanatomical architectures contribute to brain function and dysfunction. The Allen Human Brain Atlas contains regional gene expression data, while the JuBrain Atlas offers three-dimensional cytoarchitectonic maps reflecting interindividual variability. To date, an integrated framework that combines the analytical benefits of both scientific platforms towards a multi-level brain atlas of adult humans was not available. We have, therefore, developed JuGEx, a new method for integrating tissue transcriptome and cytoarchitectonic segregation. We investigated differential gene expression in two JuBrain areas of the frontal pole that we have structurally and functionally characterized in previous studies. Our results show a significant upregulation of MAOA and TAC1 in the medial area frontopolaris which is a node in the limbic-cortical network and known to be susceptible for gray matter loss and behavioral dysfunction in patients with depression. The MAOA gene encodes an enzyme which is involved in the catabolism of dopamine, norepinephrine, serotonin, and other monoaminergic neurotransmitters. The TAC1 locus generates hormones that play a role in neuron excitations and behavioral responses. Overall, JuGEx provides a new tool for the scientific community that empowers research from basic, cognitive and clinical neuroscience in brain regions and disease models with regard to gene expression.
Keyphrases
- gene expression
- single cell
- genome wide
- white matter
- dna methylation
- resting state
- functional connectivity
- rna seq
- genome wide identification
- electronic health record
- copy number
- oxidative stress
- cerebral ischemia
- big data
- multiple sclerosis
- healthcare
- lymph node
- depressive symptoms
- physical activity
- mental health
- deep learning
- young adults
- blood brain barrier
- subarachnoid hemorrhage
- data analysis