Individual-Level Identification of Gene Expression Associated with Volume Differences among Neocortical Areas
Abstract The human cerebral cortex is the source of many complex behaviors and is a vulnerable target of various neuropsychiatric disorders, but transcriptional profiles linked to cerebral cortical volume (CCV) differences across brain areas remain unknown. Here, we screened CCV-related genes using...
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| Veröffentlicht in: | Cerebral cortex (New York, N.Y. 1991) N.Y. 1991), 2020-05, Vol.30 (6), p.3655-3666 |
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| container_title | Cerebral cortex (New York, N.Y. 1991) |
| container_volume | 30 |
| creator | Fu, Jilian Liu, Feng Qin, Wen Xu, Qiang Yu, Chunshui |
| description | Abstract
The human cerebral cortex is the source of many complex behaviors and is a vulnerable target of various neuropsychiatric disorders, but transcriptional profiles linked to cerebral cortical volume (CCV) differences across brain areas remain unknown. Here, we screened CCV-related genes using an across-sample spatial correlation analysis in 6 postmortem brains and then individually validated these correlations in 1091 subjects with different ages and ethnicities. We identified 62 genes whose transcriptional profiles were repeatedly associated with CCV in more than 90% of individuals. CCV-related genes were specifically expressed in neurons and in developmental periods from middle childhood to young adulthood, were enriched in ion channels and developmental processes, and showed significant overlap with genes linked to brain functional activity and mental disorders. The identified genes represent the conserved transcriptional architecture of the human cerebral cortex, suggesting a link between conserved gene transcription and neocortical structural properties. |
| doi_str_mv | 10.1093/cercor/bhz333 |
| format | Article |
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The human cerebral cortex is the source of many complex behaviors and is a vulnerable target of various neuropsychiatric disorders, but transcriptional profiles linked to cerebral cortical volume (CCV) differences across brain areas remain unknown. Here, we screened CCV-related genes using an across-sample spatial correlation analysis in 6 postmortem brains and then individually validated these correlations in 1091 subjects with different ages and ethnicities. We identified 62 genes whose transcriptional profiles were repeatedly associated with CCV in more than 90% of individuals. CCV-related genes were specifically expressed in neurons and in developmental periods from middle childhood to young adulthood, were enriched in ion channels and developmental processes, and showed significant overlap with genes linked to brain functional activity and mental disorders. The identified genes represent the conserved transcriptional architecture of the human cerebral cortex, suggesting a link between conserved gene transcription and neocortical structural properties.</description><identifier>ISSN: 1047-3211</identifier><identifier>EISSN: 1460-2199</identifier><identifier>DOI: 10.1093/cercor/bhz333</identifier><identifier>PMID: 32186704</identifier><language>eng</language><publisher>United States: Oxford University Press</publisher><subject>Adolescent ; Adult ; Aged ; Aged, 80 and over ; Cerebral Cortex - anatomy & histology ; Cerebral Cortex - diagnostic imaging ; Cerebral Cortex - growth & development ; Cerebral Cortex - metabolism ; Female ; Gene Expression ; Gene Expression Regulation, Developmental ; Humans ; Magnetic Resonance Imaging ; Male ; Middle Aged ; Neocortex - anatomy & histology ; Neocortex - diagnostic imaging ; Neocortex - growth & development ; Neocortex - metabolism ; Neurons - metabolism ; Organ Size - genetics ; Spatio-Temporal Analysis ; Young Adult</subject><ispartof>Cerebral cortex (New York, N.Y. 1991), 2020-05, Vol.30 (6), p.3655-3666</ispartof><rights>The Author(s) 2020. Published by Oxford University Press. All rights reserved. For permissions, please e-mail: journals.permission@oup.com 2020</rights><rights>The Author(s) 2020. Published by Oxford University Press. All rights reserved. For permissions, please e-mail: journals.permission@oup.com.</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c365t-e9eb417c09205b1939fe83cd0a1b475ee49fbb5dd55f8cd9b6bb259b027df5753</citedby><cites>FETCH-LOGICAL-c365t-e9eb417c09205b1939fe83cd0a1b475ee49fbb5dd55f8cd9b6bb259b027df5753</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,780,784,1584,27924,27925</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/32186704$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Fu, Jilian</creatorcontrib><creatorcontrib>Liu, Feng</creatorcontrib><creatorcontrib>Qin, Wen</creatorcontrib><creatorcontrib>Xu, Qiang</creatorcontrib><creatorcontrib>Yu, Chunshui</creatorcontrib><creatorcontrib>Alzheimer’s Disease Neuroimaging Initiative (ADNI)</creatorcontrib><creatorcontrib>Alzheimer’s Disease Neuroimaging Initiative (ADNI)</creatorcontrib><title>Individual-Level Identification of Gene Expression Associated with Volume Differences among Neocortical Areas</title><title>Cerebral cortex (New York, N.Y. 1991)</title><addtitle>Cereb Cortex</addtitle><description>Abstract
The human cerebral cortex is the source of many complex behaviors and is a vulnerable target of various neuropsychiatric disorders, but transcriptional profiles linked to cerebral cortical volume (CCV) differences across brain areas remain unknown. Here, we screened CCV-related genes using an across-sample spatial correlation analysis in 6 postmortem brains and then individually validated these correlations in 1091 subjects with different ages and ethnicities. We identified 62 genes whose transcriptional profiles were repeatedly associated with CCV in more than 90% of individuals. CCV-related genes were specifically expressed in neurons and in developmental periods from middle childhood to young adulthood, were enriched in ion channels and developmental processes, and showed significant overlap with genes linked to brain functional activity and mental disorders. The identified genes represent the conserved transcriptional architecture of the human cerebral cortex, suggesting a link between conserved gene transcription and neocortical structural properties.</description><subject>Adolescent</subject><subject>Adult</subject><subject>Aged</subject><subject>Aged, 80 and over</subject><subject>Cerebral Cortex - anatomy & histology</subject><subject>Cerebral Cortex - diagnostic imaging</subject><subject>Cerebral Cortex - growth & development</subject><subject>Cerebral Cortex - metabolism</subject><subject>Female</subject><subject>Gene Expression</subject><subject>Gene Expression Regulation, Developmental</subject><subject>Humans</subject><subject>Magnetic Resonance Imaging</subject><subject>Male</subject><subject>Middle Aged</subject><subject>Neocortex - anatomy & histology</subject><subject>Neocortex - diagnostic imaging</subject><subject>Neocortex - growth & development</subject><subject>Neocortex - metabolism</subject><subject>Neurons - metabolism</subject><subject>Organ Size - genetics</subject><subject>Spatio-Temporal Analysis</subject><subject>Young Adult</subject><issn>1047-3211</issn><issn>1460-2199</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2020</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><recordid>eNqFkD1PwzAQhi0EolAYWZFHllA7jpt4rEoplSpYgDXyx5kaJXGxk_Lx60nVAiPTnV49eu_0IHRByTUlgo00BO3DSK2-GGMH6IRmY5KkVIjDfidZnrCU0gE6jfGVEJqnPD1Ggz4rxjnJTlC9aIzbONPJKlnCBiq8MNC0zjotW-cb7C2eQwN49rEOEOM2msTotZMtGPzu2hV-9lVXA75x1kKARkPEsvbNC74H3__W9lUVngSQ8QwdWVlFON_PIXq6nT1O75Llw3wxnSwTzca8TUCAymiuiUgJV1QwYaFg2hBJVZZzgExYpbgxnNtCG6HGSqVcKJLmxvKcsyG62vWug3_rILZl7aKGqpIN-C6WKcuLQmzJHk12qA4-xgC2XAdXy_BZUlJuDZc7w-XOcM9f7qs7VYP5pX-U_t323fqfrm-kNYju</recordid><startdate>20200518</startdate><enddate>20200518</enddate><creator>Fu, Jilian</creator><creator>Liu, Feng</creator><creator>Qin, Wen</creator><creator>Xu, Qiang</creator><creator>Yu, Chunshui</creator><general>Oxford University Press</general><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7X8</scope></search><sort><creationdate>20200518</creationdate><title>Individual-Level Identification of Gene Expression Associated with Volume Differences among Neocortical Areas</title><author>Fu, Jilian ; Liu, Feng ; Qin, Wen ; Xu, Qiang ; Yu, Chunshui</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c365t-e9eb417c09205b1939fe83cd0a1b475ee49fbb5dd55f8cd9b6bb259b027df5753</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2020</creationdate><topic>Adolescent</topic><topic>Adult</topic><topic>Aged</topic><topic>Aged, 80 and over</topic><topic>Cerebral Cortex - anatomy & histology</topic><topic>Cerebral Cortex - diagnostic imaging</topic><topic>Cerebral Cortex - growth & development</topic><topic>Cerebral Cortex - metabolism</topic><topic>Female</topic><topic>Gene Expression</topic><topic>Gene Expression Regulation, Developmental</topic><topic>Humans</topic><topic>Magnetic Resonance Imaging</topic><topic>Male</topic><topic>Middle Aged</topic><topic>Neocortex - anatomy & histology</topic><topic>Neocortex - diagnostic imaging</topic><topic>Neocortex - growth & development</topic><topic>Neocortex - metabolism</topic><topic>Neurons - metabolism</topic><topic>Organ Size - genetics</topic><topic>Spatio-Temporal Analysis</topic><topic>Young Adult</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Fu, Jilian</creatorcontrib><creatorcontrib>Liu, Feng</creatorcontrib><creatorcontrib>Qin, Wen</creatorcontrib><creatorcontrib>Xu, Qiang</creatorcontrib><creatorcontrib>Yu, Chunshui</creatorcontrib><creatorcontrib>Alzheimer’s Disease Neuroimaging Initiative (ADNI)</creatorcontrib><creatorcontrib>Alzheimer’s Disease Neuroimaging Initiative (ADNI)</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>MEDLINE - Academic</collection><jtitle>Cerebral cortex (New York, N.Y. 1991)</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Fu, Jilian</au><au>Liu, Feng</au><au>Qin, Wen</au><au>Xu, Qiang</au><au>Yu, Chunshui</au><aucorp>Alzheimer’s Disease Neuroimaging Initiative (ADNI)</aucorp><aucorp>Alzheimer’s Disease Neuroimaging Initiative (ADNI)</aucorp><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Individual-Level Identification of Gene Expression Associated with Volume Differences among Neocortical Areas</atitle><jtitle>Cerebral cortex (New York, N.Y. 1991)</jtitle><addtitle>Cereb Cortex</addtitle><date>2020-05-18</date><risdate>2020</risdate><volume>30</volume><issue>6</issue><spage>3655</spage><epage>3666</epage><pages>3655-3666</pages><issn>1047-3211</issn><eissn>1460-2199</eissn><abstract>Abstract
The human cerebral cortex is the source of many complex behaviors and is a vulnerable target of various neuropsychiatric disorders, but transcriptional profiles linked to cerebral cortical volume (CCV) differences across brain areas remain unknown. Here, we screened CCV-related genes using an across-sample spatial correlation analysis in 6 postmortem brains and then individually validated these correlations in 1091 subjects with different ages and ethnicities. We identified 62 genes whose transcriptional profiles were repeatedly associated with CCV in more than 90% of individuals. CCV-related genes were specifically expressed in neurons and in developmental periods from middle childhood to young adulthood, were enriched in ion channels and developmental processes, and showed significant overlap with genes linked to brain functional activity and mental disorders. The identified genes represent the conserved transcriptional architecture of the human cerebral cortex, suggesting a link between conserved gene transcription and neocortical structural properties.</abstract><cop>United States</cop><pub>Oxford University Press</pub><pmid>32186704</pmid><doi>10.1093/cercor/bhz333</doi><tpages>12</tpages><oa>free_for_read</oa></addata></record> |
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| source | MEDLINE; Oxford University Press Journals All Titles (1996-Current); EZB-FREE-00999 freely available EZB journals; Alma/SFX Local Collection |
| subjects | Adolescent Adult Aged Aged, 80 and over Cerebral Cortex - anatomy & histology Cerebral Cortex - diagnostic imaging Cerebral Cortex - growth & development Cerebral Cortex - metabolism Female Gene Expression Gene Expression Regulation, Developmental Humans Magnetic Resonance Imaging Male Middle Aged Neocortex - anatomy & histology Neocortex - diagnostic imaging Neocortex - growth & development Neocortex - metabolism Neurons - metabolism Organ Size - genetics Spatio-Temporal Analysis Young Adult |
| title | Individual-Level Identification of Gene Expression Associated with Volume Differences among Neocortical Areas |
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