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Cancer-related marketing centrality motifs acting as pivot units in the human signaling network and mediating cross-talk between biological pathways

  • Wan Li
  • , Lina Chen*
  • , Xia Li
  • , Xu Jia
  • , Chenchen Feng
  • , Liangcai Zhang
  • , Weiming He
  • , Junjie Lv
  • , Yuehan He
  • , Weiguo Li
  • , Xiaoli Qu
  • , Yanyan Zhou
  • , Yuchen Shi
  • *Corresponding author for this work
  • Harbin Medical University

Research output: Contribution to journalArticlepeer-review

Abstract

Network motifs in central positions are considered to not only have more in-coming and out-going connections but are also localized in an area where more paths reach the networks. These central motifs have been extensively investigated to determine their consistent functions or associations with specific function categories. However, their functional potentials in the maintenance of cross-talk between different functional communities are unclear. In this paper, we constructed an integrated human signaling network from the Pathway Interaction Database. We identified 39 essential cancer-related motifs in central roles, which we called cancer-related marketing centrality motifs, using combined centrality indices on the system level. Our results demonstrated that these cancer-related marketing centrality motifs were pivotal units in the signaling network, and could mediate cross-talk between 61 biological pathways (25 could be mediated by one motif on average), most of which were cancer-related pathways. Further analysis showed that molecules of most marketing centrality motifs were in the same or adjacent subcellular localizations, such as the motif containing PI3K, PDK1 and AKT1 in the plasma membrane, to mediate signal transduction between 32 cancer-related pathways. Finally, we analyzed the pivotal roles of cancer genes in these marketing centrality motifs in the pathogenesis of cancers, and found that non-cancer genes were potential cancer-related genes.

Original languageEnglish
Pages (from-to)3026-3035
Number of pages10
JournalMolecular BioSystems
Volume9
Issue number12
DOIs
StatePublished - Dec 2013

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well-being

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