| Literature DB >> 30053424 |
A Jeremy Willsey1, Montana T Morris2, Sheng Wang2, Helen R Willsey3, Nawei Sun2, Nia Teerikorpi4, Tierney B Baum2, Gerard Cagney5, Kevin J Bender6, Tejal A Desai7, Deepak Srivastava8, Graeme W Davis9, Jennifer Doudna10, Edward Chang11, Vikaas Sohal12, Daniel H Lowenstein6, Hao Li13, David Agard13, Michael J Keiser14, Brian Shoichet15, Mark von Zastrow16, Lennart Mucke17, Steven Finkbeiner18, Li Gan17, Nenad Sestan19, Michael E Ward20, Ruth Huttenhain21, Tomasz J Nowakowski22, Hugo J Bellen23, Loren M Frank24, Mustafa K Khokha25, Richard P Lifton26, Martin Kampmann27, Trey Ideker28, Matthew W State29, Nevan J Krogan30.
Abstract
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.Entities:
Keywords: convergence; genetics; interactome; network; neurodevelopmental disorder; pathway; proteomics; psychiatric cell map initiative; psychiatric disorder; psychiatry; systems biology
Mesh:
Year: 2018 PMID: 30053424 PMCID: PMC6247911 DOI: 10.1016/j.cell.2018.06.016
Source DB: PubMed Journal: Cell ISSN: 0092-8674 Impact factor: 41.582