TY - JOUR
T1 - Organizational structure and the periphery of the gene regulatory network in B-cell lymphoma
AU - Simoes, Ricardo D.M.
AU - Tripathi, Shailesh
AU - Emmert-Streib, Frank
N1 - Funding Information:
We would like to thank Gökmen Altay and Ken Mills for fruitful discussions. For our numerical simulations we used R [68], SynTRen [31], GeNGe [30] and netsim [32], and for the visualization of the networks igraph [69]. This project is partly supported by the Department for Employment and Learning through its “Strengthening the all-Island Research Base” initiative.
PY - 2012/5/14
Y1 - 2012/5/14
N2 - Background: 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.Results: 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.Conclusions: 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.
AB - Background: 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.Results: 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.Conclusions: 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.
KW - B-cell lymphoma
KW - Gene expression data
KW - Gene regulatory network
KW - Statistical network inference
KW - Reproducibility of Results
KW - Humans
KW - Signal Transduction/genetics
KW - Gene Expression Regulation, Neoplastic
KW - Computational Biology/methods
KW - Gene Regulatory Networks
KW - Algorithms
KW - Cluster Analysis
KW - Lymphoma, B-Cell/genetics
UR - http://www.scopus.com/inward/record.url?scp=84865119369&partnerID=8YFLogxK
U2 - 10.1186/1752-0509-6-38
DO - 10.1186/1752-0509-6-38
M3 - Article
C2 - 22583750
AN - SCOPUS:84865119369
SN - 1752-0509
VL - 6
SP - 38
JO - BMC Systems Biology
JF - BMC Systems Biology
M1 - 38
ER -