Noncoding transcripts are linked to brain resting-state activity in non-human primates
Summary: Brain-derived transcriptomes are known to correlate with resting-state brain activity in humans. Whether this association holds in nonhuman primates remains uncertain. Here, we search for such molecular correlates by integrating 757 transcriptomes derived from 100 macaque cortical regions w...
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Elsevier
2023-06-01
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Series: | Cell Reports |
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Online Access: | http://www.sciencedirect.com/science/article/pii/S2211124723006630 |
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author | Wei Wang Tingting Bo Ge Zhang Jie Li Junjie Ma Liangxiao Ma Ganlu Hu Huige Tong Qian Lv Daniel J. Araujo Dong Luo Yuejun Chen Meiyun Wang Zheng Wang Guang-Zhong Wang |
author_facet | Wei Wang Tingting Bo Ge Zhang Jie Li Junjie Ma Liangxiao Ma Ganlu Hu Huige Tong Qian Lv Daniel J. Araujo Dong Luo Yuejun Chen Meiyun Wang Zheng Wang Guang-Zhong Wang |
author_sort | Wei Wang |
collection | DOAJ |
description | Summary: Brain-derived transcriptomes are known to correlate with resting-state brain activity in humans. Whether this association holds in nonhuman primates remains uncertain. Here, we search for such molecular correlates by integrating 757 transcriptomes derived from 100 macaque cortical regions with resting-state activity in separate conspecifics. We observe that 150 noncoding genes explain variations in resting-state activity at a comparable level with protein-coding genes. In-depth analysis of these noncoding genes reveals that they are connected to the function of nonneuronal cells such as oligodendrocytes. Co-expression network analysis finds that the modules of noncoding genes are linked to both autism and schizophrenia risk genes. Moreover, genes associated with resting-state noncoding genes are highly enriched in human resting-state functional genes and memory-effect genes, and their links with resting-state functional magnetic resonance imaging (fMRI) signals are altered in the brains of patients with autism. Our results highlight the potential for noncoding RNAs to explain resting-state activity in the nonhuman primate brain. |
first_indexed | 2024-03-13T04:28:14Z |
format | Article |
id | doaj.art-c1aa20885aa44378bbffb3a2892519ee |
institution | Directory Open Access Journal |
issn | 2211-1247 |
language | English |
last_indexed | 2024-03-13T04:28:14Z |
publishDate | 2023-06-01 |
publisher | Elsevier |
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series | Cell Reports |
spelling | doaj.art-c1aa20885aa44378bbffb3a2892519ee2023-06-20T04:20:01ZengElsevierCell Reports2211-12472023-06-01426112652Noncoding transcripts are linked to brain resting-state activity in non-human primatesWei Wang0Tingting Bo1Ge Zhang2Jie Li3Junjie Ma4Liangxiao Ma5Ganlu Hu6Huige Tong7Qian Lv8Daniel J. Araujo9Dong Luo10Yuejun Chen11Meiyun Wang12Zheng Wang13Guang-Zhong Wang14CAS Key Laboratory of Computational Biology, Shanghai Institute of Nutrition and Health, University of Chinese Academy of Sciences, Chinese Academy of Sciences, Shanghai 200031, ChinaDepartment of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China; Department of Radiology, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China; Clinical Neuroscience Center, Ruijin Hospital Luwan Branch, Shanghai Jiao Tong University School of Medicine, Shanghai, ChinaDepartment of Medical Imaging, Henan Provincial People’s Hospital & the People’s Hospital of Zhengzhou University, No. 7 Weiwu Road, Zhengzhou, Henan, ChinaCAS Key Laboratory of Computational Biology, Shanghai Institute of Nutrition and Health, University of Chinese Academy of Sciences, Chinese Academy of Sciences, Shanghai 200031, ChinaCAS Key Laboratory of Computational Biology, Shanghai Institute of Nutrition and Health, University of Chinese Academy of Sciences, Chinese Academy of Sciences, Shanghai 200031, ChinaCAS Key Laboratory of Computational Biology, Shanghai Institute of Nutrition and Health, University of Chinese Academy of Sciences, Chinese Academy of Sciences, Shanghai 200031, ChinaShanghai Institute for Advanced Immunochemical Studies, ShanghaiTech University, Shanghai, ChinaCAS Key Laboratory of Computational Biology, Shanghai Institute of Nutrition and Health, University of Chinese Academy of Sciences, Chinese Academy of Sciences, Shanghai 200031, ChinaSchool of Psychological and Cognitive Sciences, Beijing Key Laboratory of Behavior and Mental Health, IDG/McGovern Institute for Brain Research, Peking-Tsinghua Center for Life Sciences, Peking University, Beijing, ChinaCenter for Cancer Immunotherapy, La Jolla Institute for Immunology, La Jolla, CA, USASchool of Biomedical Engineering, Hainan University, Haikou, Hainan, ChinaShanghai Center for Brain Science and Brain-Inspired Intelligence Technology, Shanghai 201210, ChinaDepartment of Medical Imaging, Henan Provincial People’s Hospital & the People’s Hospital of Zhengzhou University, No. 7 Weiwu Road, Zhengzhou, Henan, ChinaSchool of Psychological and Cognitive Sciences, Beijing Key Laboratory of Behavior and Mental Health, IDG/McGovern Institute for Brain Research, Peking-Tsinghua Center for Life Sciences, Peking University, Beijing, China; School of Biomedical Engineering, Hainan University, Haikou, Hainan, China; Corresponding authorCAS Key Laboratory of Computational Biology, Shanghai Institute of Nutrition and Health, University of Chinese Academy of Sciences, Chinese Academy of Sciences, Shanghai 200031, China; Corresponding authorSummary: Brain-derived transcriptomes are known to correlate with resting-state brain activity in humans. Whether this association holds in nonhuman primates remains uncertain. Here, we search for such molecular correlates by integrating 757 transcriptomes derived from 100 macaque cortical regions with resting-state activity in separate conspecifics. We observe that 150 noncoding genes explain variations in resting-state activity at a comparable level with protein-coding genes. In-depth analysis of these noncoding genes reveals that they are connected to the function of nonneuronal cells such as oligodendrocytes. Co-expression network analysis finds that the modules of noncoding genes are linked to both autism and schizophrenia risk genes. Moreover, genes associated with resting-state noncoding genes are highly enriched in human resting-state functional genes and memory-effect genes, and their links with resting-state functional magnetic resonance imaging (fMRI) signals are altered in the brains of patients with autism. Our results highlight the potential for noncoding RNAs to explain resting-state activity in the nonhuman primate brain.http://www.sciencedirect.com/science/article/pii/S2211124723006630CP: Neuroscience |
spellingShingle | Wei Wang Tingting Bo Ge Zhang Jie Li Junjie Ma Liangxiao Ma Ganlu Hu Huige Tong Qian Lv Daniel J. Araujo Dong Luo Yuejun Chen Meiyun Wang Zheng Wang Guang-Zhong Wang Noncoding transcripts are linked to brain resting-state activity in non-human primates Cell Reports CP: Neuroscience |
title | Noncoding transcripts are linked to brain resting-state activity in non-human primates |
title_full | Noncoding transcripts are linked to brain resting-state activity in non-human primates |
title_fullStr | Noncoding transcripts are linked to brain resting-state activity in non-human primates |
title_full_unstemmed | Noncoding transcripts are linked to brain resting-state activity in non-human primates |
title_short | Noncoding transcripts are linked to brain resting-state activity in non-human primates |
title_sort | noncoding transcripts are linked to brain resting state activity in non human primates |
topic | CP: Neuroscience |
url | http://www.sciencedirect.com/science/article/pii/S2211124723006630 |
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