The Psychiatric Cell Map Initiative: A Convergent Systems Biological Approach to Illuminating Key Molecular Pathways in Neuropsychiatric Disorders
Although gene discovery in neuropsychiatric disorders, including autism spectrum disorder, intellectual disability, epilepsy, schizophrenia, and Tourette disorder, has accelerated, resulting in a large number of molecular clues, it has proven difficult to generate specific hypotheses without the cor...
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Veröffentlicht in: | Cell 2018-07, Vol.174 (3), p.505-520 |
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creator | Willsey, A. Jeremy Morris, Montana T. Wang, Sheng Willsey, Helen R. Sun, Nawei Teerikorpi, Nia Baum, Tierney B. Cagney, Gerard Bender, Kevin J. Desai, Tejal A. Srivastava, Deepak Davis, Graeme W. Doudna, Jennifer Chang, Edward Sohal, Vikaas Lowenstein, Daniel H. Li, Hao Agard, David Keiser, Michael J. Shoichet, Brian von Zastrow, Mark Mucke, Lennart Finkbeiner, Steven Gan, Li Sestan, Nenad Ward, Michael E. Huttenhain, Ruth Nowakowski, Tomasz J. Bellen, Hugo J. Frank, Loren M. Khokha, Mustafa K. Lifton, Richard P. Kampmann, Martin Ideker, Trey State, Matthew W. Krogan, Nevan J. |
description | Although gene discovery in neuropsychiatric disorders, including autism spectrum disorder, intellectual disability, epilepsy, schizophrenia, and Tourette disorder, has accelerated, resulting in a large number of molecular clues, it has proven difficult to generate specific hypotheses without the corresponding datasets at the protein complex and functional pathway level. Here, we describe one path forward—an initiative aimed at mapping the physical and genetic interaction networks of these conditions and then using these maps to connect the genomic data to neurobiology and, ultimately, the clinic. These efforts will include a team of geneticists, structural biologists, neurobiologists, systems biologists, and clinicians, leveraging a wide array of experimental approaches and creating a collaborative infrastructure necessary for long-term investigation. This initiative will ultimately intersect with parallel studies that focus on other diseases, as there is a significant overlap with genes implicated in cancer, infectious disease, and congenital heart defects.
A collaborative interdisciplinary systems biology framework is proposed to integrate physical and genetic interaction networks data along with genomics to inform insights into the neurobiology of disease that can then be translated to the clinic. |
doi_str_mv | 10.1016/j.cell.2018.06.016 |
format | Article |
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A collaborative interdisciplinary systems biology framework is proposed to integrate physical and genetic interaction networks data along with genomics to inform insights into the neurobiology of disease that can then be translated to the clinic.</description><identifier>ISSN: 0092-8674</identifier><identifier>EISSN: 1097-4172</identifier><identifier>DOI: 10.1016/j.cell.2018.06.016</identifier><identifier>PMID: 30053424</identifier><language>eng</language><publisher>United States: Elsevier Inc</publisher><subject>autism ; biologists ; Chromosome Mapping - methods ; convergence ; data collection ; epilepsy ; Gene Regulatory Networks - genetics ; genes ; Genetic Predisposition to Disease - genetics ; genetics ; Genome-Wide Association Study - methods ; genomics ; Genomics - methods ; heart ; Humans ; infectious diseases ; infrastructure ; interactome ; neoplasms ; network ; Neurobiology - methods ; neurodevelopmental disorder ; Neurodevelopmental Disorders - genetics ; neurophysiology ; Neuropsychiatry ; pathway ; proteomics ; psychiatric cell map initiative ; psychiatric disorder ; psychiatry ; schizophrenia ; systems biology ; Systems Biology - methods</subject><ispartof>Cell, 2018-07, Vol.174 (3), p.505-520</ispartof><rights>2018 Elsevier Inc.</rights><rights>Copyright © 2018 Elsevier Inc. All rights reserved.</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c488t-5eb0764394acf7dec39f70c66286ad2c16e69649998ce69cbbe8f57e388fe3313</citedby><cites>FETCH-LOGICAL-c488t-5eb0764394acf7dec39f70c66286ad2c16e69649998ce69cbbe8f57e388fe3313</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://www.sciencedirect.com/science/article/pii/S0092867418307840$$EHTML$$P50$$Gelsevier$$Hfree_for_read</linktohtml><link.rule.ids>230,314,776,780,881,3537,27901,27902,65306</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/30053424$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Willsey, A. Jeremy</creatorcontrib><creatorcontrib>Morris, Montana T.</creatorcontrib><creatorcontrib>Wang, Sheng</creatorcontrib><creatorcontrib>Willsey, Helen R.</creatorcontrib><creatorcontrib>Sun, Nawei</creatorcontrib><creatorcontrib>Teerikorpi, Nia</creatorcontrib><creatorcontrib>Baum, Tierney B.</creatorcontrib><creatorcontrib>Cagney, Gerard</creatorcontrib><creatorcontrib>Bender, Kevin J.</creatorcontrib><creatorcontrib>Desai, Tejal A.</creatorcontrib><creatorcontrib>Srivastava, Deepak</creatorcontrib><creatorcontrib>Davis, Graeme W.</creatorcontrib><creatorcontrib>Doudna, Jennifer</creatorcontrib><creatorcontrib>Chang, Edward</creatorcontrib><creatorcontrib>Sohal, Vikaas</creatorcontrib><creatorcontrib>Lowenstein, Daniel H.</creatorcontrib><creatorcontrib>Li, Hao</creatorcontrib><creatorcontrib>Agard, David</creatorcontrib><creatorcontrib>Keiser, Michael J.</creatorcontrib><creatorcontrib>Shoichet, Brian</creatorcontrib><creatorcontrib>von Zastrow, Mark</creatorcontrib><creatorcontrib>Mucke, Lennart</creatorcontrib><creatorcontrib>Finkbeiner, Steven</creatorcontrib><creatorcontrib>Gan, Li</creatorcontrib><creatorcontrib>Sestan, Nenad</creatorcontrib><creatorcontrib>Ward, Michael E.</creatorcontrib><creatorcontrib>Huttenhain, Ruth</creatorcontrib><creatorcontrib>Nowakowski, Tomasz J.</creatorcontrib><creatorcontrib>Bellen, Hugo J.</creatorcontrib><creatorcontrib>Frank, Loren M.</creatorcontrib><creatorcontrib>Khokha, Mustafa K.</creatorcontrib><creatorcontrib>Lifton, Richard P.</creatorcontrib><creatorcontrib>Kampmann, Martin</creatorcontrib><creatorcontrib>Ideker, Trey</creatorcontrib><creatorcontrib>State, Matthew W.</creatorcontrib><creatorcontrib>Krogan, Nevan J.</creatorcontrib><title>The Psychiatric Cell Map Initiative: A Convergent Systems Biological Approach to Illuminating Key Molecular Pathways in Neuropsychiatric Disorders</title><title>Cell</title><addtitle>Cell</addtitle><description>Although gene discovery in neuropsychiatric disorders, including autism spectrum disorder, intellectual disability, epilepsy, schizophrenia, and Tourette disorder, has accelerated, resulting in a large number of molecular clues, it has proven difficult to generate specific hypotheses without the corresponding datasets at the protein complex and functional pathway level. Here, we describe one path forward—an initiative aimed at mapping the physical and genetic interaction networks of these conditions and then using these maps to connect the genomic data to neurobiology and, ultimately, the clinic. These efforts will include a team of geneticists, structural biologists, neurobiologists, systems biologists, and clinicians, leveraging a wide array of experimental approaches and creating a collaborative infrastructure necessary for long-term investigation. This initiative will ultimately intersect with parallel studies that focus on other diseases, as there is a significant overlap with genes implicated in cancer, infectious disease, and congenital heart defects.
A collaborative interdisciplinary systems biology framework is proposed to integrate physical and genetic interaction networks data along with genomics to inform insights into the neurobiology of disease that can then be translated to the clinic.</description><subject>autism</subject><subject>biologists</subject><subject>Chromosome Mapping - methods</subject><subject>convergence</subject><subject>data collection</subject><subject>epilepsy</subject><subject>Gene Regulatory Networks - genetics</subject><subject>genes</subject><subject>Genetic Predisposition to Disease - genetics</subject><subject>genetics</subject><subject>Genome-Wide Association Study - methods</subject><subject>genomics</subject><subject>Genomics - methods</subject><subject>heart</subject><subject>Humans</subject><subject>infectious diseases</subject><subject>infrastructure</subject><subject>interactome</subject><subject>neoplasms</subject><subject>network</subject><subject>Neurobiology - methods</subject><subject>neurodevelopmental disorder</subject><subject>Neurodevelopmental Disorders - genetics</subject><subject>neurophysiology</subject><subject>Neuropsychiatry</subject><subject>pathway</subject><subject>proteomics</subject><subject>psychiatric cell map initiative</subject><subject>psychiatric disorder</subject><subject>psychiatry</subject><subject>schizophrenia</subject><subject>systems biology</subject><subject>Systems Biology - methods</subject><issn>0092-8674</issn><issn>1097-4172</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2018</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><recordid>eNqNkV2P1CAYhYnRuOPqH_DCcOlNK_SDgjEm4_g1cVc3cb0mDH07ZUJLF9ox_Rv-Ymlm3aw3xivI4TkHXg5CzylJKaHs1SHVYG2aEcpTwtIoPUArSkSVFLTKHqIVISJLOKuKM_QkhAMhhJdl-Rid5YSUeZEVK_TrugV8FWbdGjV6o_EmRuJLNeBtb8aomSO8xmu8cf0R_B76EX-fwwhdwO-Ms25vtLJ4PQzeKd3i0eGttVNn-ujs9_gLzPjSWdCTVR5fqbH9qeaATY-_wuTdcO_i9yY4X4MPT9GjRtkAz27Xc_Tj44frzefk4tun7WZ9keiC8zEpYUcqVuSiULqpatC5aCqiGcs4U3WmKQMmWCGE4Dru9G4HvCkryDlvIM9pfo7ennKHaddBreNsXlk5eNMpP0unjPz7pDet3LujZFlRCboEvLwN8O5mgjDKzoSlEtWDm4LMaE45y8vyP1BS8VIQwhY0O6HauxA8NHcvokQuvcuDXJxy6V0SJqMUTS_uz3Jn-VN0BN6cAIg_ejTgZdAGeg218aBHWTvzr_zfZtLCWg</recordid><startdate>20180726</startdate><enddate>20180726</enddate><creator>Willsey, A. 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Jeremy ; Morris, Montana T. ; Wang, Sheng ; Willsey, Helen R. ; Sun, Nawei ; Teerikorpi, Nia ; Baum, Tierney B. ; Cagney, Gerard ; Bender, Kevin J. ; Desai, Tejal A. ; Srivastava, Deepak ; Davis, Graeme W. ; Doudna, Jennifer ; Chang, Edward ; Sohal, Vikaas ; Lowenstein, Daniel H. ; Li, Hao ; Agard, David ; Keiser, Michael J. ; Shoichet, Brian ; von Zastrow, Mark ; Mucke, Lennart ; Finkbeiner, Steven ; Gan, Li ; Sestan, Nenad ; Ward, Michael E. ; Huttenhain, Ruth ; Nowakowski, Tomasz J. ; Bellen, Hugo J. ; Frank, Loren M. ; Khokha, Mustafa K. ; Lifton, Richard P. ; Kampmann, Martin ; Ideker, Trey ; State, Matthew W. ; Krogan, Nevan J.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c488t-5eb0764394acf7dec39f70c66286ad2c16e69649998ce69cbbe8f57e388fe3313</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2018</creationdate><topic>autism</topic><topic>biologists</topic><topic>Chromosome Mapping - methods</topic><topic>convergence</topic><topic>data collection</topic><topic>epilepsy</topic><topic>Gene Regulatory Networks - genetics</topic><topic>genes</topic><topic>Genetic Predisposition to Disease - genetics</topic><topic>genetics</topic><topic>Genome-Wide Association Study - methods</topic><topic>genomics</topic><topic>Genomics - methods</topic><topic>heart</topic><topic>Humans</topic><topic>infectious diseases</topic><topic>infrastructure</topic><topic>interactome</topic><topic>neoplasms</topic><topic>network</topic><topic>Neurobiology - methods</topic><topic>neurodevelopmental disorder</topic><topic>Neurodevelopmental Disorders - genetics</topic><topic>neurophysiology</topic><topic>Neuropsychiatry</topic><topic>pathway</topic><topic>proteomics</topic><topic>psychiatric cell map initiative</topic><topic>psychiatric disorder</topic><topic>psychiatry</topic><topic>schizophrenia</topic><topic>systems biology</topic><topic>Systems Biology - methods</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Willsey, A. 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A collaborative interdisciplinary systems biology framework is proposed to integrate physical and genetic interaction networks data along with genomics to inform insights into the neurobiology of disease that can then be translated to the clinic.</abstract><cop>United States</cop><pub>Elsevier Inc</pub><pmid>30053424</pmid><doi>10.1016/j.cell.2018.06.016</doi><tpages>16</tpages><oa>free_for_read</oa></addata></record> |
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subjects | autism biologists Chromosome Mapping - methods convergence data collection epilepsy Gene Regulatory Networks - genetics genes Genetic Predisposition to Disease - genetics genetics Genome-Wide Association Study - methods genomics Genomics - methods heart Humans infectious diseases infrastructure interactome neoplasms network Neurobiology - methods neurodevelopmental disorder Neurodevelopmental Disorders - genetics neurophysiology Neuropsychiatry pathway proteomics psychiatric cell map initiative psychiatric disorder psychiatry schizophrenia systems biology Systems Biology - methods |
title | The Psychiatric Cell Map Initiative: A Convergent Systems Biological Approach to Illuminating Key Molecular Pathways in Neuropsychiatric Disorders |
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