Pathways and networks-based analysis of candidate genes associated with nicotine addiction.

Nicotine is the addictive substance in tobacco and it has a broad impact on both the central and peripheral nervous systems. Over the past decades, an increasing number of genes potentially involved in nicotine addiction have been identified by different technical approaches. However, the molecular...

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Main Authors: Meng Liu, Rui Fan, Xinhua Liu, Feng Cheng, Ju Wang
Format: Article
Language:English
Published: Public Library of Science (PLoS) 2015-01-01
Series:PLoS ONE
Online Access:http://europepmc.org/articles/PMC4429103?pdf=render
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author Meng Liu
Rui Fan
Xinhua Liu
Feng Cheng
Ju Wang
author_facet Meng Liu
Rui Fan
Xinhua Liu
Feng Cheng
Ju Wang
author_sort Meng Liu
collection DOAJ
description Nicotine is the addictive substance in tobacco and it has a broad impact on both the central and peripheral nervous systems. Over the past decades, an increasing number of genes potentially involved in nicotine addiction have been identified by different technical approaches. However, the molecular mechanisms underlying nicotine addiction remain largely unclear. Under such situation, a comprehensive analysis focusing on the overall functional characteristics of these genes, as well as how they interact with each other will provide us valuable information to understand nicotine addiction. In this study, we presented a systematic analysis on nicotine addiction-related genes to identify the major underlying biological themes. Functional analysis revealed that biological processes and biochemical pathways related to neurodevelopment, immune system and metabolism were significantly enriched in the nicotine addiction-related genes. By extracting the nicotine addiction-specific subnetwork, a number of novel genes associated with addiction were identified. Moreover, we constructed a schematic molecular network for nicotine addiction via integrating the pathways and network, providing an intuitional view to understand the development of nicotine addiction. Pathway and network analysis indicated that the biological processes related to nicotine addiction were complex. Results from our work may have important implications for understanding the molecular mechanism underlying nicotine addiction.
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spelling doaj.art-8aacf703e41c4faba9ce4367828bc37b2022-12-21T19:20:56ZengPublic Library of Science (PLoS)PLoS ONE1932-62032015-01-01105e012743810.1371/journal.pone.0127438Pathways and networks-based analysis of candidate genes associated with nicotine addiction.Meng LiuRui FanXinhua LiuFeng ChengJu WangNicotine is the addictive substance in tobacco and it has a broad impact on both the central and peripheral nervous systems. Over the past decades, an increasing number of genes potentially involved in nicotine addiction have been identified by different technical approaches. However, the molecular mechanisms underlying nicotine addiction remain largely unclear. Under such situation, a comprehensive analysis focusing on the overall functional characteristics of these genes, as well as how they interact with each other will provide us valuable information to understand nicotine addiction. In this study, we presented a systematic analysis on nicotine addiction-related genes to identify the major underlying biological themes. Functional analysis revealed that biological processes and biochemical pathways related to neurodevelopment, immune system and metabolism were significantly enriched in the nicotine addiction-related genes. By extracting the nicotine addiction-specific subnetwork, a number of novel genes associated with addiction were identified. Moreover, we constructed a schematic molecular network for nicotine addiction via integrating the pathways and network, providing an intuitional view to understand the development of nicotine addiction. Pathway and network analysis indicated that the biological processes related to nicotine addiction were complex. Results from our work may have important implications for understanding the molecular mechanism underlying nicotine addiction.http://europepmc.org/articles/PMC4429103?pdf=render
spellingShingle Meng Liu
Rui Fan
Xinhua Liu
Feng Cheng
Ju Wang
Pathways and networks-based analysis of candidate genes associated with nicotine addiction.
PLoS ONE
title Pathways and networks-based analysis of candidate genes associated with nicotine addiction.
title_full Pathways and networks-based analysis of candidate genes associated with nicotine addiction.
title_fullStr Pathways and networks-based analysis of candidate genes associated with nicotine addiction.
title_full_unstemmed Pathways and networks-based analysis of candidate genes associated with nicotine addiction.
title_short Pathways and networks-based analysis of candidate genes associated with nicotine addiction.
title_sort pathways and networks based analysis of candidate genes associated with nicotine addiction
url http://europepmc.org/articles/PMC4429103?pdf=render
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