547 transcriptomes from 44 brain areas reveal features of the aging brain in non-human primates
Abstract 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 trans...
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doaj-4221ecac28414782a4715cae6b989fd32020-11-29T12:22:18ZengBMCGenome Biology1474-760X2019-11-0120111710.1186/s13059-019-1866-1547 transcriptomes from 44 brain areas reveal features of the aging brain in non-human primatesMing-Li Li0Shi-Hao Wu1Jin-Jin Zhang2Hang-Yu Tian3Yong Shao4Zheng-Bo Wang5David M. Irwin6Jia-Li Li7Xin-Tian Hu8Dong-Dong Wu9State Key Laboratory of Genetic Resources and Evolution, Kunming Institute of Zoology, Chinese Academy of SciencesKunming College of Life Science, University of the Chinese Academy of SciencesState Key Laboratory of Genetic Resources and Evolution, Kunming Institute of Zoology, Chinese Academy of SciencesState Key Laboratory of Genetic Resources and Evolution, Kunming Institute of Zoology, Chinese Academy of SciencesState Key Laboratory of Genetic Resources and Evolution, Kunming Institute of Zoology, Chinese Academy of SciencesYunnan Key Laboratory of Primate Biomedicine Research, Institute of Primate Translational Medicine, Kunming University of Science and TechnologyDepartment of Laboratory Medicine and Pathobiology, University of TorontoKey Laboratory of Animal Models and Human Disease Mechanisms of Chinese Academy of Sciences & Yunnan Province, Kunming Institute of Zoology, Chinese Academy of SciencesKey Laboratory of Animal Models and Human Disease Mechanisms of Chinese Academy of Sciences & Yunnan Province, Kunming Institute of Zoology, Chinese Academy of SciencesState Key Laboratory of Genetic Resources and Evolution, Kunming Institute of Zoology, Chinese Academy of SciencesAbstract 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.https://doi.org/10.1186/s13059-019-1866-1Brain agingRhesus macaquesTranscriptomeMultiple brain regionsPGLS |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Ming-Li Li Shi-Hao Wu Jin-Jin Zhang Hang-Yu Tian Yong Shao Zheng-Bo Wang David M. Irwin Jia-Li Li Xin-Tian Hu Dong-Dong Wu |
spellingShingle |
Ming-Li Li Shi-Hao Wu Jin-Jin Zhang Hang-Yu Tian Yong Shao Zheng-Bo Wang David M. Irwin Jia-Li Li Xin-Tian Hu Dong-Dong Wu 547 transcriptomes from 44 brain areas reveal features of the aging brain in non-human primates Genome Biology Brain aging Rhesus macaques Transcriptome Multiple brain regions PGLS |
author_facet |
Ming-Li Li Shi-Hao Wu Jin-Jin Zhang Hang-Yu Tian Yong Shao Zheng-Bo Wang David M. Irwin Jia-Li Li Xin-Tian Hu Dong-Dong Wu |
author_sort |
Ming-Li Li |
title |
547 transcriptomes from 44 brain areas reveal features of the aging brain in non-human primates |
title_short |
547 transcriptomes from 44 brain areas reveal features of the aging brain in non-human primates |
title_full |
547 transcriptomes from 44 brain areas reveal features of the aging brain in non-human primates |
title_fullStr |
547 transcriptomes from 44 brain areas reveal features of the aging brain in non-human primates |
title_full_unstemmed |
547 transcriptomes from 44 brain areas reveal features of the aging brain in non-human primates |
title_sort |
547 transcriptomes from 44 brain areas reveal features of the aging brain in non-human primates |
publisher |
BMC |
series |
Genome Biology |
issn |
1474-760X |
publishDate |
2019-11-01 |
description |
Abstract 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. |
topic |
Brain aging Rhesus macaques Transcriptome Multiple brain regions PGLS |
url |
https://doi.org/10.1186/s13059-019-1866-1 |
work_keys_str_mv |
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