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ORIGINAL ARTICLE
Year : 2012  |  Volume : 18  |  Issue : 1  |  Page : 83-86
 

In silico prediction of exposure amino acid sequences of outer inflammatory protein A of Helicobacter pylori for surface display on Eschierchia coli


1 Department of Bacteriology, Tarbiat Modares University, Tehran, Iran
2 Department of Immunology, Tarbiat Modares University, Tehran, Iran
3 Department of Industrial and Environmental Biotechnology, National Institute of Genetic Engineering and Biotechnology, Tehran, Iran

Date of Web Publication26-May-2012

Correspondence Address:
Ashraf M Mobarez
Department of Bacteriology, Faculty of medicine, Tarbiat Modares University
Iran
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Source of Support: None, Conflict of Interest: None


DOI: 10.4103/0971-6866.96659

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   Abstract 

Background: Outer inflammatory protein A (OipA) is an outer membrane protein of Helicobacter pylori that is involved in inducing IL-8 and intracellular signaling. In this study, we have predicted exposure amino acid sequences of OipA for insertion in permissive sites of CstH subunit of Eschierchia coli CS3 pilli for bacterial surface display.
Materials and Methods: Databases: National Center for Biotechnology Institute and Protein Data Bank. Servers: PHD, SABLE, GOR 4, SignalP3.0, TBBpred, PRODIV-TMHMM, TMRPres2D, CPH Models, PHYRE, GETAREA, VADAR, Pep state and pep window. Software: Swiss PDB viewer and Discovery studio.
Results: In silico prediction of exposure amino acid sequences of OipA led to detection of six sequences of amino acid, 76-87, 106-112, 170-182, 222-230, 242-258, and 278-290. These sequences inserted between amino acid sequences 66-67, 100-101, and 109-110 of CstH that were predicted by Eskandari et al. as permissive sites of CstH.
Conclusion: OipA has the ability to induce IL-8 from gastric epithelial cells and some papers are mentioned that this outer membrane protein involve to attachment and intracellular signaling. Receptor of OipA and adhesion motifs on this protein is unknown. Detection of exposure motifs aids to recognition of adhesion motifs and receptor of OipA on gastric epithelial cells. In this study, we have predicted exposure amino acid sequences for insert to subunit CstH of CS3 pilli E. coli for surface display.


Keywords: CstH, in silico prediction, OipA, surface sequences


How to cite this article:
Teymournejad O, Mobarez AM, Hassan ZM, Moazzeni SM, Yakhchali B, Eskandari V. In silico prediction of exposure amino acid sequences of outer inflammatory protein A of Helicobacter pylori for surface display on Eschierchia coli. Indian J Hum Genet 2012;18:83-6

How to cite this URL:
Teymournejad O, Mobarez AM, Hassan ZM, Moazzeni SM, Yakhchali B, Eskandari V. In silico prediction of exposure amino acid sequences of outer inflammatory protein A of Helicobacter pylori for surface display on Eschierchia coli. Indian J Hum Genet [serial online] 2012 [cited 2016 Jun 1];18:83-6. Available from: http://www.ijhg.com/text.asp?2012/18/1/83/96659



   Introduction Top


Helicobacter pylori is a gram negative spiral bacterium that colonizes stomach for long time, and this colonization can lead to gastritis, peptic ulcer, and gastric cancer. [1] World Health Organization and International Agency for Research on Cancer have classified this bacterium as type one carcinogen for gastric cancer. [2],[3] H. pylori colonizes half of the world population and this colonization reaches up to 90% in developing country. [4] Outer membrane proteins have pivotal role in pathogenesis of this bacterium. [5] Most of these outer membrane proteins increase attachment to gastric epithelial cell and some of them induce host inflammatory responses. [5] Outer inflammatory protein A (OipA) is an outer membrane protein that is involved to increase pathogenesis of H. pylori. [6] Presence of this protein is linked to proinflammatory signaling of gastric epithelial cell, duodenal ulceration, gastric cancer, increase of H. pylori density, and neutrophil infiltration. [6],[7] OipA mutant of H. pylori revealed that this outer membrane protein associated with bacterial adhesion to gastric epithelial cell. Inducing IL-8 secretion by this protein is controversial; some reports showed that oipA mutants had not reduced IL-8 secretion but the others have reported about main role of OipA in induction of IL-8. [5],[6],[8]

The aim of this research is computational studies for prediction of OipA exposure sequences of amino acid. Results of this study apply for insert in permissive sites of CstH subunit of Eschierichia coli CS3 pilli for bacterial surface display of outer inflammatory protein A on E. coli for detection adhesion motif and role of OipA in induction of IL-8 and proinflammatory signaling.


   Materials and Methods Top


Databases: Amino acid sequences of OipA and CstH were retrieved from National Center for Biotechnology Institute and Uni-prot KB/Swiss-Prot. Accession number of CstH in NCBI and Uni-prot KB/Swiss-Prot were X16944 and P15488. [9],[10] Tertiary structure of CstH presents in Protein Data Bank. [11]

Servers: Secondary structure of proteins predicted by PHD, SABLE, and GOR 4 servers. [12],[13] SignalP3.0 server detected signal sequence of OipA and CstH. [14] TBBpred, PRODIV-TMHMM, and TMRPres2D servers used for transmembrane topology prediction in bilayer lipid and external loops of OipA. CPH Models and PHYRE servers applied for finding of homology modeling and tertiary structure prediction. [15],[16],[17],[18] GETAREA and VADAR servers applied for prediction of accessible surface area amino acids among sequences of external loops. Pep state and pep window used for probability of expression in inclusion bodies and hydropathy plot of two proteins.

Software: Swiss PDB viewer and Discovery studio applied for data analysis. [19],[20]


   Results Top


In silico prediction of exposure amino acid sequences of OipA led to detection of six sequences of amino acid; 76-87, 106-112, 170-182, 222-230, 242-258, and 278-290. These sequences inserted between amino acid sequences 66-67, 100-101 and 109-110 of CstH were predicted by Eskandari et al. as permissive sites of CstH.


   Discussion Top


Protein engineering is a branch of bioinformatics that is useful for progress of biological research. [21] In this study, we used from some tools of protein engineering for process of outer inflammatory protein A and prediction of exposure amino acid sequences for detection of adhesion motifs and sequences involve to proinflammatory signaling after bacterial surface display on E. coli.

Carrier protein for OipA on surface of E. coli is CstH subunit of CS3 pili that previously was analyzed by Eskandari et al. for permissive sites. Prediction for secondary, tertiary structure, and hydropathy plot showed three sites for insertion of our sequences. [21]

We applied three servers for prediction of secondary structure and compared these results with together [Figure 1], [Figure 2] and [Figure 3].
Figure 1: Secondary structure prediction of OipA by PHD server E: beta sheet, H: alpha helices, C: random coil

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Figure 2: Secondary structure prediction of OipA by GOR4 server E: beta sheet, H: alpha helices, C: random coil

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Figure 3: Secondary structure prediction of OipA by SABLE server E: beta sheet, H: alpha helices, C: random coil

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SignalP3.0 server predicted seventeen N-terminal amino acids of OipA which do not present in mature OipA on the cell surface and this sequence was deleted before further analysis by other tools [Figure 4].
Figure 4: SignalP3.0 server for prediction of signal sequence of OipA

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Secondary structure of transmembrane proteins in prokaryotes has a little difference from eukaryotes. In outer membrane of prokaryotes, hydrophobic beta barrel integrate in bilayer lipid and famous tool for prediction of transmembrane topology is TBBpred server [Figure 5]. [22]
Table 5: Prediction of beta barrel of OipA in H. pylori outer membrane by TBBpred server "n" refers to residues in non barrel regions and "b" refers to residues in barrel region

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Tertiary structure of protein causes that some sequences of external loops get surface and the others get inside of protein. [22] Next step was tertiary structure prediction of OipA and detection of exposure amino acid sequences in external loops [Figure 6], [Figure 7] and [Figure 8].
Figure 6: Hydropathy plot of OipA by pepwindow server

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Figure 7: Prediction of accessible surface area amino acids by vadar server

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Figure 8: Tertiary structure prediction of OipA by CPH model server and shown with Discovery Studio Visualizer

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The CPH model server revealed that tertiary structure of OipA, same as VacA, was most likely an auto display protein and its insertion in the outer membrane was carried out by type V secretion system (T5SS). N-terminal long hydrophilic region confirms this finding [Figure 6], [Figure 7], [Figure 8], [Figure 9] and [Figure 10].
Figure 9: Prediction of external and internal loops sequence of OipA by PRODIV-TMHMM server

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Figure 10: Prediction of external and internal loops sequence of OipA by TMRPres2D server

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   Conclusion Top


Exposure amino acid sequences of OipA and other outer membrane proteins have important role in interaction with stomach epithelial cell, and detection of these sequences is very useful for finding of receptors on surface of Gastric epithelial cell. [5]

Receptor of OipA and adhesion motifs on this protein is unknown. Detection of exposure motifs aids to recognition of adhesion motifs and receptor of OipA on gastric epithelial cells. [23] In this study, we have predicted exposure amino acid sequences for insert to subunit CstH of CS3 pilli E. coli for surface display.

 
   References Top

1.Wei J, O'Brien D, Vilgelm A, Piazuelo MB, Correa P, Washington MK, et al. Interaction of Helicobacter pylori with gastric epithelial cells is mediated by the p53 protein family. Gastroenterology 2008;134:1412-23.  Back to cited text no. 1
[PUBMED]  [FULLTEXT]  
2.Zhang H, Fang DC, Wang RQ, Yang SM, Liu HF, Luo YH. Effect of Helicobacter pylori infection on expression of Bcl-2 family members in gastric adenocarcinoma. World J Gastroenterol 2004;10:227-30.  Back to cited text no. 2
[PUBMED]  [FULLTEXT]  
3.Franco AT, Johnston E, Krishna U, Yamaoka Y, Israel DA, Nagy TA, et al. Regulation of gastric carcinogenesis by Helicobacter pylori virulence factors. Cancer Res 2008;68:379-87.  Back to cited text no. 3
[PUBMED]  [FULLTEXT]  
4.Zhang ZW, Farthing MJ. Molecular mechanisms of H. pylori associated gastric carcinogenesis. World J Gastroenterol 1999;5:369-74.  Back to cited text no. 4
[PUBMED]  [FULLTEXT]  
5.Dossumbekova A, Prinz C, Mages J, Lang R, Kusters JG, Van Vliet AH, et al. Helicobacter pylori HopH (OipA) and bacterial pathogenicity: Genetic and functional genomic analysis of hopH gene polymorphisms. J Infect Dis 2006;194:1346-55.  Back to cited text no. 5
[PUBMED]  [FULLTEXT]  
6.Clyne M, Dolan B, Reeves EP. Bacterial factors that mediate colonization of the stomach and virulence of Helicobacter pylori. FEMS Microbiol Lett 2007;268:135-43.  Back to cited text no. 6
[PUBMED]  [FULLTEXT]  
7.Yamaoka Y, Kwon DH, Graham DY. A M(r) 34,000 proinflammatory outer membrane protein (oipA) of Helicobacter pylori. Proc Natl Acad Sci U S A 2000;97:7533-8.  Back to cited text no. 7
[PUBMED]  [FULLTEXT]  
8.Shao SH, Wang H, Chai SG, Liu LM. Research progress on Helicobacter pylori outer membrane protein. World J Gastroenterol 2005;11:3011-3.  Back to cited text no. 8
[PUBMED]  [FULLTEXT]  
9.Bairoch A. The Universal Protein Resource (UniProt) 2009. Nucleic Acids Res 2009;37:D169-74.  Back to cited text no. 9
[PUBMED]  [FULLTEXT]  
10.Jalajakumari MB, Thomas CJ, Halter R, Manning PA. Genes for biosynthesis and assembly of CS3 pili of CFA/II enterotoxigenic Escherichia coli: Novel regulation of pilus production by bypassing an amber codon. Mol Microbiol 1989;3:1685-95.  Back to cited text no. 10
[PUBMED]  [FULLTEXT]  
11.Berman HM, Westbrook J, Feng Z, Gilliland G, Bhat TN, Weissig H, et al. The protein data bank. Nucleic Acids Res 2000;28:235-42.  Back to cited text no. 11
[PUBMED]  [FULLTEXT]  
12.Rost B, Sander C, Schneider R. PHD-An automatic mail server for protein secondary structure prediction. Comput Appl Biosci 1994;10:53-60.  Back to cited text no. 12
[PUBMED]    
13.Adamczak R, Porollo A, Meller J. The SABLE. Server, which was rigorously. Bioinformatics, 2004.  Back to cited text no. 13
    
14.Bendtsen JD, Nielsen H, von Heijne G, Brunak S. Improved prediction of signal peptides: Signal P 3.0. J Mol Biol 2004;340:783-95.  Back to cited text no. 14
[PUBMED]  [FULLTEXT]  
15.Bennett-Lovsey RM, Herbert AD, Sternberg MJ, Kelley LA. Exploring the extremes of sequence/structure space with ensemble fold recognition in the program Phyre. Proteins 2008;70:611-25.  Back to cited text no. 15
[PUBMED]  [FULLTEXT]  
16.Krieger E, Nabuurs SB, Vriend G. Homology modeling. Methods Biochem Anal 2003;44:509-23.  Back to cited text no. 16
[PUBMED]    
17.Sujatha MS, Balaji PV. Fold-recognition and comparative modeling of human alpha2,3-sialyltransferases reveal their sequence and structural similarities to CstII from Campylobacter jejuni. BMC Struct Biol 2006;6:9.  Back to cited text no. 17
[PUBMED]  [FULLTEXT]  
18.Hardesty J. Protein Simulation, Function and Prediction. Computational Structure Biology, 2005.  Back to cited text no. 18
    
19.Kaplan W, Littlejohn TG. Swiss-PDB Viewer (Deep View). Brief Bioinform 2001;2:195-7.  Back to cited text no. 19
[PUBMED]  [FULLTEXT]  
20.Niemeyer EA. Application Guide tools and methods used in Discovery Studio for the visualization. Nucleic Acids Res 2000;28:235-42.  Back to cited text no. 20
    
21.Eskandari V, Yakhchali B, Minuchehr Z. In-silico prediction of permissive sites of CstH subunit of E. coli CS3 pili for insertion of foreign peptides. Iran J Biol 2010;1:73-84.  Back to cited text no. 21
    
22.Xiong J. Protein Secondary Structure Prediction. In: Xiong J, editor. Essential Bioinformatics. 1 st ed. New York: Cambridge University Press; 2006. p. 200-13.  Back to cited text no. 22
    
23.Yamaoka Y, Alm RA. Helicobacter pylori outer membrane proteins. In: Yamaoka Y, editor. Helicobacter pylori Molecular Genetics and Cellular Biology. 1 st ed. Norfolk: Caister Academic Press; 2008. p. 37-61.  Back to cited text no. 23
    


    Figures

  [Figure 1], [Figure 2], [Figure 3], [Figure 4], [Figure 5], [Figure 6], [Figure 7], [Figure 8], [Figure 9], [Figure 10]


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