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547 transcriptomes from 44 brain areas reveal features of the aging brain in non-human primates
547 transcriptomes from 44 brain areas reveal features of the aging brain in non-human primates
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547 transcriptomes from 44 brain areas reveal features of the aging brain in non-human primates
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547 transcriptomes from 44 brain areas reveal features of the aging brain in non-human primates
547 transcriptomes from 44 brain areas reveal features of the aging brain in non-human primates

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547 transcriptomes from 44 brain areas reveal features of the aging brain in non-human primates
547 transcriptomes from 44 brain areas reveal features of the aging brain in non-human primates
Journal Article

547 transcriptomes from 44 brain areas reveal features of the aging brain in non-human primates

2019
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Overview
Background Brain aging is a complex process that depends on the precise regulation of multiple brain regions; however, the underlying molecular mechanisms behind this process remain to be clarified in non-human primates. Results Here, we explore non-human primate brain aging using 547 transcriptomes originating from 44 brain areas in rhesus macaques ( Macaca mulatta ). We show that expression connectivity between pairs of cerebral cortex areas as well as expression symmetry between the left and right hemispheres both decrease after aging. Although the aging mechanisms across different brain areas are largely convergent, changes in gene expression and alternative splicing vary at diverse genes, reinforcing the complex multifactorial basis of aging. Through gene co-expression network analysis, we identify nine modules that exhibit gain of connectivity in the aged brain and uncovered a hub gene, PGLS, underlying brain aging. We further confirm the functional significance of PGLS in mice at the gene transcription, molecular, and behavioral levels. Conclusions Taken together, our study provides comprehensive transcriptomes on multiple brain regions in non-human primates and provides novel insights into the molecular mechanism of healthy brain aging.