Literature DB >> 17646287

Structural templates predict novel protein interactions and targets from pancreas tumour gene expression data.

Gihan Dawelbait1, Christof Winter, Yanju Zhang, Christian Pilarsky, Robert Grützmann, Jörg-Christian Heinrich, Michael Schroeder.   

Abstract

MOTIVATION: Pancreatic ductal adenocarcinoma (PDAC) eludes early detection and is characterized by its aggressiveness and resistance to current therapies. A number of gene expression screens have been carried out to identify genes differentially expressed in cancerous tissue. To identify molecular markers and suitable targets, these genes have been mapped to protein interactions to gain an understanding at systems level.
RESULTS: Here, we take such a network-centric approach to pancreas cancer by re-constructing networks from known interactions and by predicting novel protein interactions from structural templates. The pathways we find to be largely affected are signal transduction, actin cytoskeleton regulation, cell growth and cell communication. Our analysis indicates that the alteration of the calcium pathway plays an important role in pancreas-specific tumorigenesis. Furthermore, our structural prediction method identifies 40 novel interactions including the tissue factor pathway inhibitor 2 (TFPI2) interacting with the transmembrane protease serine 4 (TMPRSS4). Since TMPRSS4 is involved in metastasis formation, we hypothesize that the upregulation of TMPRSS4 and the downregulation of its predicted inhibitor TFPI2 plays an important role in this process. Moreover, we examine the potential role of BVDU (RP101) as an inhibitor of TMPRSS4. BDVU is known to support apoptosis and prevent the acquisition of chemoresistance. Our results suggest that BVDU might bind to the active site of TMPRSS4, thus reducing its assistance in metastasis. SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online.

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Year:  2007        PMID: 17646287     DOI: 10.1093/bioinformatics/btm188

Source DB:  PubMed          Journal:  Bioinformatics        ISSN: 1367-4803            Impact factor:   6.937


  9 in total

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3.  Weighted gene co-expression network analysis reveals key genes involved in pancreatic ductal adenocarcinoma development.

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4.  Human cancer protein-protein interaction network: a structural perspective.

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5.  Simultaneous gene silencing of Bcl-2, XIAP and Survivin re-sensitizes pancreatic cancer cells towards apoptosis.

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Review 6.  Neutrophil-Derived Proteases in the Microenvironment of Pancreatic Cancer -Active Players in Tumor Progression.

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7.  Towards inferring time dimensionality in protein-protein interaction networks by integrating structures: the p53 example.

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8.  Co-expression of KLK6 and KLK10 as prognostic factors for survival in pancreatic ductal adenocarcinoma.

Authors:  F Rückert; M Hennig; C D Petraki; D Wehrum; M Distler; A Denz; M Schröder; G Dawelbait; H Kalthoff; H-D Saeger; E P Diamandis; C Pilarsky; R Grützmann
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Review 9.  Biological Networks for Cancer Candidate Biomarkers Discovery.

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Journal:  Cancer Inform       Date:  2016-09-04
  9 in total

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