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Organizational structure and the periphery of the gene regulatory network in B-cell lymphoma.

  • Ricardo de Matos Simoes
  • , Shailesh Tripathi
  • , Frank Emmert-Streib*
  • *Corresponding author for this work

    Research output: Contribution to journalArticleScientificpeer-review

    20 Citations (Scopus)

    Abstract

    The physical periphery of a biological cell is mainly described by signaling pathways which are triggered by transmembrane proteins and receptors that are sentinels to control the whole gene regulatory network of a cell. However, our current knowledge about the gene regulatory mechanisms that are governed by extracellular signals is severely limited. The purpose of this paper is three fold. First, we infer a gene regulatory network from a large-scale B-cell lymphoma expression data set using the C3NET algorithm. Second, we provide a functional and structural analysis of the largest connected component of this network, revealing that this network component corresponds to the peripheral region of a cell. Third, we analyze the hierarchical organization of network components of the whole inferred B-cell gene regulatory network by introducing a new approach which exploits the variability within the data as well as the inferential characteristics of C3NET. As a result, we find a functional bisection of the network corresponding to different cellular components. Overall, our study allows to highlight the peripheral gene regulatory network of B-cells and shows that it is centered around hub transmembrane proteins located at the physical periphery of the cell. In addition, we identify a variety of novel pathological transmembrane proteins such as ion channel complexes and signaling receptors in B-cell lymphoma.

    Original languageEnglish
    Article number38
    JournalBMC Systems Biology
    Volume6
    DOIs
    Publication statusPublished - 14 May 2012
    Publication typeA1 Journal article-refereed

    Keywords

    • B-cell lymphoma
    • Gene expression data
    • Gene regulatory network
    • Statistical network inference

    ASJC Scopus subject areas

    • Molecular Biology
    • Structural Biology
    • Applied Mathematics
    • Modelling and Simulation
    • Computer Science Applications

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