Unraveling genomic changes in the brain

Scientists have known for some time that individual organisms are far more than the sum of their gene sequences. So-called epigenetic variations encompass a diverse array of chemical modifications to DNA that leave the core nucleotide sequence unchanged, but can nevertheless exert powerful effects on gene expression behavior.

A modification commonly associated with the silencing of gene activity in mammals, for example, is the enzyme-mediated attachment of a methyl group onto a cytosine base within a ‘CpG dinucleotide’, a segment of chromosomal DNA in which cytosine is immediately followed by guanine. Different genes are subject to such methylation in particular tissues, but methylation can also differ markedly in the same tissues between individuals, with potentially profound functional consequences.

According to Tadafumi Kato of the RIKEN Brain Science Institute in Wako, abnormalities in DNA methylation within the brain could even play a role in a variety of neuropsychiatric conditions, such as bipolar disorder. “Mental disorders are the result of gene–environment interaction,” he explains, “and DNA methylation may be affected by early environmental effects.”

As a first step toward testing this hypothesis, Kato’s group teamed up with The University of Tokyo researcher Kazuya Iwamoto, along with colleagues in Japan and the United States, to survey genome-wide methylation in the brains of different individuals¹. For their analysis, they examined postmortem tissue from the prefrontal cortex of the cerebrum (Fig. 1), a region of the brain with a leading role in decision-making behavior.

Kato and colleagues used the neuron-specific protein NeuN as a marker for separating out actual neurons from the larger population of glial cells (Fig. 2), which play a vital part in supporting neuronal function. “If we extracted DNA from the bulk cerebral cortex, the DNA methylation data would mainly reflect the glial cells,” says Kato. “Thus, we need to separate out the neurons from the brain.”

This approach enabled the researchers to perform a direct comparison of the two cell classes. Indeed, their initial assessment confirmed that the methylation profile of the NeuN-negative (glial) cells displayed a significantly greater degree of similarity to that of bulk cortical samples relative to the NeuN-positive (neuronal) subpopulation. In general, bulk cortical preparations and glial cell fractions also exhibited notably higher levels of overall genomic methylation in comparison to neuronal fractions.

Kato, Iwamoto and colleagues used a platform known as a ‘tiling array’ to precisely map the positions of these methylation sites within the genome. Based on these data, they were able to compile collections of methylated regions (MRs) that were specifically neuronal, non-neuronal or common to both cell populations. Many of the MRs were located within promoters, which are stretches of DNA that directly control the activity of nearby genes. The researchers also identified hundreds of genes that display similar patterns of epigenetic modification within each of the three categories. Intriguingly, they noted that promoters that were specifically methylated within the glial population regulate a number of established neuronal genes, encoding factors associated with ion transport and neurotransmitter signaling.

In a prior study, the researchers had investigated overall gene expression within the brain, identifying patterns of transcriptional regulation that enabled them to cluster various genes into discreet functional ‘modules’². Kato and colleagues used these findings to determine whether any of these modules were particularly enriched among any of the subsets of methylated genes.

Several of the genes that appeared to be specifically methylated, and therefore silenced, among non-neuronal cells belonged to a module associated with mitochondrial function. The activity of these organelles is known to be considerably enriched in neurons. Conversely, the researchers found evidence that silencing among neuronal populations appears to affect genes associated with the function of astrocytes, a glial subpopulation.