title: An integrated quantitative proteomics and systems biology approach to explore synaptic protein profile changes during morphine exposure.
abstract: Morphine is a classic analgesic for the treatment of chronic pain. However, its repeated use is known to produce tolerance, physical dependence, and addiction; these properties limit its long-term therapeutic use and this has led to a quest for therapeutics without these unwanted side effects. Understanding the molecular changes in response to long-term use of morphine is likely to aid in the development of novel therapeutics for the treatment of pain. Studies examining the effects of chronic morphine administration have reported alterations in gene expression, synapse morphology, and synaptic transmission implying changes in synaptic protein profile. To fully understand the changes in protein profiles, proteomic techniques have been used. Studies using two-dimensional gel electrophoresis of various brain regions combined with mass spectrometry have found alterations in the levels of a number of proteins. However, neither the changes in brain regions relevant to morphine effects nor changes in the abundance of synaptic proteins have been clearly delineated. Recent studies employing subcellular fractionation to isolate the striatal synapse, combined with quantitative proteomics and graph theory-inspired network analyses, have begun to quantify morphine-regulated changes in synaptic proteins and facilitate the generation of networks that could serve as targets for the development of novel therapeutics for the treatment of chronic pain. Thus, an integrated quantitative proteomics and systems biology approach can be useful to identify novel targets for the treatment of pain and other disorders of the brain.
authors.affiliation: Department of Pharmacology and Systems Therapeutics and Friedman Brain Institute, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
authors.forename: Steven D
authors.initials: SD
authors.lastname: Stockton
authors.forename: Lakshmi A
authors.initials: LA
authors.lastname: Devi
mesh_terms: D000701:Analgesics, Opioid / Q000494:pharmacology; D000818:Animals; D001921:Brain / Q000187:drug effects / Q000378:metabolism; D008959:Models, Neurological; D009020:Morphine / Q000494:pharmacology*; D009419:Nerve Tissue Proteins / Q000378:metabolism*; D040901:Proteomics / Q000379:methods*; D013569:Synapses / Q000187:drug effects* / Q000378:metabolism*; D049490:Systems Biology / Q000379:methods*
chemical_list: D000701:Analgesics, Opioid; D009419:Nerve Tissue Proteins; D009020:Morphine
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