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 language | English |
|---|---|
| Article number | 38 |
| Journal | BMC Systems Biology |
| Volume | 6 |
| DOIs | |
| Publication status | Published - 14 May 2012 |
| Publication type | A1 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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