The pain interactome: Connecting pain-specific protein interactions

被引:33
作者
Jamieson, Daniel G. [1 ,2 ]
Moss, Andrew [3 ]
Kennedy, Michael [3 ]
Jones, Sherrie [4 ]
Nenadic, Goran [2 ,5 ]
Robertson, David L. [1 ]
Sidders, Ben [3 ]
机构
[1] Univ Manchester, Fac Life Sci, Manchester, Lancs, England
[2] Univ Manchester, Fac Engn & Phys Sci, Manchester, Lancs, England
[3] Pfizer, Neusentis, Worldwide Res & Dev, Cambridge CB21 6GS, England
[4] Univ Manchester, Canc Res UK Manchester Inst, Manchester, Lancs, England
[5] Univ Manchester, Manchester Inst Biotechnol, Manchester, Lancs, England
基金
英国生物技术与生命科学研究理事会;
关键词
Networks; Protein-protein interactions; Gene expression; Neuropathic pain; Inflammatory pain; Text mining; GROWTH-FACTOR; MECHANISMS; EXPRESSION; PATTERNS; NEUROTROPHINS; SENSITIVITY; PREVALENCE; MODELS; TRPV1;
D O I
10.1016/j.pain.2014.06.020
中图分类号
R614 [麻醉学];
学科分类号
100217 ;
摘要
Understanding the molecular mechanisms associated with disease is a central goal of modern medical research. As such, many thousands of experiments have been published that detail individual molecular events that contribute to a disease. Here we use a semi-automated text mining approach to accurately and exhaustively curate the primary literature for chronic pain states. In so doing, we create a comprehensive network of 1,002 contextualized protein-protein interactions (PPIs) specifically associated with pain. The PPIs form a highly interconnected and coherent structure, and the resulting network provides an alternative to those derived from connecting genes associated with pain using interactions that have not been shown to occur in a painful state. We exploit the contextual data associated with our interactions to analyse subnetworks specific to inflammatory and neuropathic pain, and to various anatomical regions. Here, we identify potential targets for further study and several drug-repurposing opportunities. Finally, the network provides a framework for the interpretation of new data within the field of pain. (C) 2014 The Authors. Published by Elsevier B.V. on behalf of International Association for the Study of Pain. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/3.0/).
引用
收藏
页码:2243 / 2252
页数:10
相关论文
共 52 条
[31]   Intrathecal leptin inhibits expression of the P2X2/3 receptors and alleviates neuropathic pain induced by chronic constriction sciatic nerve injury [J].
Li, Xin ;
Kang, Lumei ;
Li, Guilin ;
Zeng, Huihong ;
Zhang, Lei ;
Ling, Xiang ;
Dong, Hui ;
Liang, Shangdong ;
Chen, Hongping .
MOLECULAR PAIN, 2013, 9
[32]   Spinal leptin contributes to the pathogenesis of neuropathic pain in rodents [J].
Lim, Grewo ;
Wang, Shuxing ;
Zhang, Yi ;
Tian, Yinghong ;
Mao, Jianren .
JOURNAL OF CLINICAL INVESTIGATION, 2009, 119 (02) :295-304
[33]   The Roles of Sodium Channels in Nociception: Implications for Mechanisms of Neuropathic Pain [J].
Liu, Min ;
Wood, John N. .
PAIN MEDICINE, 2011, 12 :S93-S99
[34]   The role of nociceptin and dynorphin in chronic pain: Implications of neuro-glial interaction [J].
Mika, Joanna ;
Obara, Ilona ;
Przewlocka, Barbara .
NEUROPEPTIDES, 2011, 45 (04) :247-261
[35]  
Miyasaka Nobuyuki, 2005, Nihon Rinsho, V63 Suppl 1, P521
[36]   Origins, actions and dynamic expression patterns of the neuropeptide VGF in rat peripheral and central sensory neurones following peripheral nerve injury [J].
Moss, Andrew ;
Ingram, Rachel ;
Koch, Stephanie ;
Theodorou, Andria ;
Low, Lucie ;
Baccei, Mark ;
Hathway, Gareth J. ;
Costigan, Michael ;
Salton, Stephen R. ;
Fitzgerald, Maria .
MOLECULAR PAIN, 2008, 4
[37]   PainNetworks: A web-based resource for the visualisation of pain-related genes in the context of their network associations [J].
Perkins, James R. ;
Lees, Jonathan ;
Antunes-Martins, Ana ;
Diboun, Ilhem ;
McMahon, Stephen B. ;
Bennett, David L. H. ;
Orengo, Christine .
PAIN, 2013, 154 (12) :2586.e1-2586.e12
[38]   Neurotrophins: Mediators and modulators of pain [J].
Pezet, Sophie ;
McMahon, Stephen B. .
ANNUAL REVIEW OF NEUROSCIENCE, 2006, 29 :507-538
[39]   Temporal patterns of genes in scientific publications [J].
Pfeiffer, Thomas ;
Hoffmann, Robert .
PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA, 2007, 104 (29) :12052-12056
[40]   Network-based functional enrichment [J].
Poirel, Christopher L. ;
Owens, Clifford C., III ;
Murali, T. M. .
BMC BIOINFORMATICS, 2011, 12