Analysis in silico of the single nucleotide polymorphism G–152A in the promoter of the angiotensinogen gene of Indonesian patients with essential hypertension
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.
Sachidanandam R, Weissman D, Schmidt SC, Kakol JM, Stein LD, Marth G, et al. A map of human genome sequence variation containing 1.42 million single nucleotide polymorphisms. Nature. 2001; 409:928–33.SachidanandamRWeissmanDSchmidtSCKakolJMSteinLDMarthGet alA map of human genome sequence variation containing 1.42 million single nucleotide polymorphisms2001409928–3310.1038/3505714911237013Search in Google Scholar
Venter JC, Adams MD, Myers EW, Li PW, Mural RJ, Sutton GG, et al. The sequence of the human genome. Science. 2001; 291:1304–51.VenterJCAdamsMDMyersEWLiPWMuralRJSuttonGGet alThe sequence of the human genome20012911304–5110.1126/science.105804011181995Search in Google Scholar
Evans WE, Relling MV. Pharmacogenomics: translating functional genomics into rational therapeutics. Science. 1999; 286:487–91.EvansWERellingMVPharmacogenomics: translating functional genomics into rational therapeutics1999286487–9110.1126/science.286.5439.48710521338Search in Google Scholar
Chen J, Luo X, Xie G, Chen K, Jiang H, Pan F, et al. Functional analysis of SNPs in the ERCC5 promoter in advanced colorectal cancer patients treated with oxaliplatin–based chemotherapy. Medicine. 2016; 95:e3656. 10.1097/MD.0000000000003652ChenJLuoXXieGChenKJiangHPanFet alFunctional analysis of SNPs in the ERCC5 promoter in advanced colorectal cancer patients treated with oxaliplatin–based chemotherapy201695e365610.1097/MD.0000000000003652Open DOISearch in Google Scholar
Aprilia DS, Widodo, Rohman M, Utomo DH, Lukitasari M. Interaction between SP1 and G-6A AGT gene for revealing the effect of polymorphism in hypertension. Int J Pharm Clin Res. 2016; 8:210–5.ApriliaDSWidodoRohman MUtomoDHLukitasariMInteraction between SP1 and G-6A AGT gene for revealing the effect of polymorphism in hypertension20168210–5Search in Google Scholar
Dickson ME, Sigmund CD. Genetic basis of hypertension: revisiting angiotensinogen. Hypertension. 2006; 48:14–20.DicksonMESigmundCDGenetic basis of hypertension: revisiting angiotensinogen20064814–2010.1161/01.HYP.0000227932.13687.6016754793Search in Google Scholar
Corvol P, Jeunemaitre X. Molecular genetics of human hypertension: role of angiotensinogen. Endocr Rev. 1997; 18:662–77.CorvolPJeunemaitreXMolecular genetics of human hypertension: role of angiotensinogen199718662–7710.1210/edrv.18.5.03129331547Search in Google Scholar
van Vark LC, Bertrand M, Akkerhuis KM, Brugts JJ, Fox K, Mourad JJ, et al. Angiotensin-converting enzyme inhibitors reduce mortality in hypertension: a meta-analysis of randomized clinical trials of renin–angiotensin–aldosterone system inhibitors involving 158 998 patients. Eur Heart J. 2012; 33:2088–97.vanVark LCBertrandMAkkerhuisKMBrugtsJJFoxKMouradJJet alAngiotensin-converting enzyme inhibitors reduce mortality in hypertension: a meta-analysis of randomized clinical trials of renin–angiotensin–aldosterone system inhibitors involving 158 998 patients2012332088–9710.1093/eurheartj/ehs075341851022511654Search in Google Scholar
Chan CK, Vanhoutte PM. Hypoxia, vascular smooth muscles and endothelium. Acta Pharm Sin B. 2013; 3:1–7.ChanCKVanhouttePMHypoxia, vascular smooth muscles and endothelium201331–710.1016/j.apsb.2012.12.007Search in Google Scholar
Bosc LV, Resta T, Walker B, Kanagy NL. Mechanisms of intermittent hypoxia induced hypertension. J Cell Mol Med. 2010; 14:3–17.BoscLVRestaTWalkerBKanagyNLMechanisms of intermittent hypoxia induced hypertension2010143–1710.1111/j.1582-4934.2009.00929.x364907419818095Search in Google Scholar
Lam S-Y, Tipoe GL, Liong EC, Fung M-L. Hypoxia-inducible factor (HIF)-1α and endothelin-1 expression in the rat carotid body during intermittent hypoxia. In: Hayashida Y, Gonzalez C, Kondo H, editors. The arterial chemoreceptors. Boston: Springer; 2006, p. 21–7. (Back N, Irun R, Cohen IR, Kritchevsky D, Lajtha A, Paoletti R, series editors. Adv Exp Med Biol., vol. 580).LamS-YTipoeGLLiongECFungM-LHypoxia-inducible factor (HIF)-1α and endothelin-1 expression in the rat carotid body during intermittent hypoxiaHayashidaYGonzalezCKondoHBostonSpringer200621–710.1007/0-387-31311-7_416683693Search in Google Scholar
Michel G, Minet E, Ernest I, Roland I, Durant F, Remacle J, Michiels C. Model for the complex between the hypoxia-inducible factor-1 (HIF-1) and its consensus DNA sequence. J Biomol Struct Dyn. 2000; 18:169–79.MichelGMinetEErnestIRolandIDurantFRemacleJMichielsCModel for the complex between the hypoxia-inducible factor-1 (HIF-1) and its consensus DNA sequence200018169–7910.1080/07391102.2000.10506656Search in Google Scholar
Semenza GL. Hypoxia-inducible factor 1 and the molecular physiology of oxygen homeostasis. J Lab Clin Med. 1998; 131:207–14.SemenzaGLHypoxia-inducible factor 1 and the molecular physiology of oxygen homeostasis1998131207–1410.1016/S0022-2143(98)90091-9Search in Google Scholar
Semenza GL. Hypoxia-inducible factor 1 and cardiovascular disease. Annu Rev Physiol. 2014; 76:39–56.SemenzaGLHypoxia-inducible factor 1 and cardiovascular disease20147639–5610.1146/annurev-physiol-021113-170322469603323988176Search in Google Scholar
Dang CV, Dolde C, Gillison ML, Kato GJ. Discrimination between related DNA sites by a single amino acid residue of Myc-related basic-helix-loop-helix proteins. Proc Natl Acad Sci. 1992; 89:599–602.DangCVDoldeCGillisonMLKatoGJDiscrimination between related DNA sites by a single amino acid residue of Myc-related basic-helix-loop-helix proteins199289599–60210.1073/pnas.89.2.599482861731330Search in Google Scholar
Jiang BH, Rue E, Wang GL, Roe R, Semenza GL. Dimerization, DNA binding, and transactivation properties of hypoxia-inducible factor 1. J Biol Chem. 1996; 271:17771–8.JiangBHRueEWangGLRoeRSemenzaGLDimerization, DNA binding, and transactivation properties of hypoxia-inducible factor 1199627117771–810.1074/jbc.271.30.177718663540Search in Google Scholar
Whitworth JA; World Health Organization, International Society of Hypertension Writing Group. 2003 World Health Organization (WHO)/International Society of Hypertension (ISH) statement on management of hypertension. J Hypertens. 2003; 21:1983–92.WhitworthJAWorld Health Organization, International Society of Hypertension Writing Group2003World Health Organization (WHO)/International Society of Hypertension (ISH) statement on management of hypertension211983–9210.1097/00004872-200311000-0000214597836Search in Google Scholar
Woodiwiss AJ, Nkeh B, Samani NJ, Badenhorst D, Maseko M, Tiago AD, et al. Functional variants of the angiotensinogen gene determine antihypertensive responses to angiotensin–converting enzyme inhibitors in subjects of African origin. J Hypertens. 2006; 24:1057–64.WoodiwissAJNkehBSamaniNJBadenhorstDMasekoMTiagoADet alFunctional variants of the angiotensinogen gene determine antihypertensive responses to angiotensin–converting enzyme inhibitors in subjects of African origin2006241057–6410.1097/01.hjh.0000226195.59428.5716685205Search in Google Scholar
van Dijk M, Bonvin AMJJ. 3D-DART: a DNA structure modelling server. Nucleic Acids Res. 2009; 37 (Web Server Issue):W235–9. 10.1093/nar/gkp287vanDijk MBonvinAMJJ3D-DART: a DNA structure modelling server200937Web Server IssueW235–910.1093/nar/gkp287270391319417072Open DOISearch in Google Scholar
Pettersen EF, Goddard TD, Huang CC, Couch GS, Greenblatt DM, Meng EC, Ferrin TE. UCSF Chimera—a visualization system for exploratory research and analysis. J Comput Chem. 2004; 25:1605–12.PettersenEFGoddardTDHuangCCCouchGSGreenblattDMMengECFerrinTEUCSF Chimera—a visualization system for exploratory research and analysis2004251605–1210.1002/jcc.2008415264254Search in Google Scholar
Michel G, Minet E, Ernest I, Durant F, Remacle J, Michiels C. Molecular modeling of the hypoxia-inducible factor-1 (HIF-1). Theor Chem Acc. 1999; 101:51–6.MichelGMinetEErnestIDurantFRemacleJMichielsCMolecular modeling of the hypoxia-inducible factor-1 (HIF-1)199910151–610.1007/s002140050405Search in Google Scholar
Pedretti A, Villa L, Vistoli L. Atom-type description language: a universal language to recognize atom types implemented in the VEGA program. Theor Chem Acc. 2003; 109:229–32.PedrettiAVillaLVistoliLAtom-type description language: a universal language to recognize atom types implemented in the VEGA program2003109229–3210.1007/s00214-002-0402-6Search in Google Scholar
de Vries SJ, van Dijk M, Bonvin AMJJ. The HADDOCK web server for data–driven biomolecular docking. Nat Protoc. 2010; 5:883–97.deVries SJvanDijk MBonvinAMJJThe HADDOCK web server for data–driven biomolecular docking20105883–9710.1038/nprot.2010.32Search in Google Scholar
van Zundert GCP, Rodrigues JPGLM, Trellet M, Schmitz C, Kastritis PL, Karaca E, et al. The HADDOCK2.2 webserver: user-friendly integrative modeling of biomolecular complexes. J Mol Biol. 2016; 428:720–5.vanZundert GCPRodriguesJPGLMTrelletMSchmitzCKastritisPLKaracaEet alThe HADDOCK2.2 webserver: user-friendly integrative modeling of biomolecular complexes2016428720–510.1016/j.jmb.2015.09.014Search in Google Scholar
Patil R, Das S, Stanley A, Yadav L, Sudhakar A, Varma AK. Optimized hydrophobic interactions and hydrogen bonding at the target-ligand interface leads the pathways of drug-designing. PLoS One. 2010; 5:e12029. 10.1371/journal.pone.0012029PatilRDasSStanleyAYadavLSudhakarAVarmaAKOptimized hydrophobic interactions and hydrogen bonding at the target-ligand interface leads the pathways of drug-designing20105e1202910.1371/journal.pone.0012029Open DOISearch in Google Scholar
Luscombe NM, Laskowski RA, Thornton JM. NUCPLOT: a program to generate schematic diagrams of protein-nucleic acid interactions. Nucleic Acids Res. 1997; 25:4940–5.LuscombeNMLaskowskiRAThorntonJMNUCPLOT: a program to generate schematic diagrams of protein-nucleic acid interactions1997254940–510.1093/nar/25.24.4940Search in Google Scholar
Wallace AC, Laskowski RA, Thornton JM. LIGPLOT: a program to generate schematic diagrams of protein-ligand interactions. Protein Eng. 1995; 8:127–34.WallaceACLaskowskiRAThorntonJMLIGPLOT: a program to generate schematic diagrams of protein-ligand interactions19958127–3410.1093/protein/8.2.127Search in Google Scholar
Laskowski RA, Swindells MB. LigPlot+: multiple ligand–protein interaction diagrams for drug discovery. J Chem Inf Model. 2011; 51:2778–86.LaskowskiRASwindellsMBLigPlot+: multiple ligand–protein interaction diagrams for drug discovery2011512778–8610.1021/ci200227uSearch in Google Scholar
Benson DA, Cavanaugh M, Clark K, Karsch-Mizrachi I, Lipman DJ, Ostell J, Sayers EW. GenBank. Nucleic Acids Res. 2013; 41(Database issue):D36–42.BensonDACavanaughMClarkKKarsch-MizrachiILipmanDJOstellJSayersEWGenBank201341Database issueD36–4210.1093/nar/gks1195Search in Google Scholar
Alberts B, Johnson A, Lewis J, Raff M, Roberts K, Walter P. Molecular biology of the cell. 4th ed. New York: Garland Science; 2002, p. 388.AlbertsBJohnsonALewisJRaffMRobertsKWalterPNew YorkGarland Science;2002388Search in Google Scholar
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.BermanHMWestbrookJFengZGillilandGBhatTNWeissigHet alThe Protein Data Bank200028235–4210.1093/nar/28.1.235Search in Google Scholar
Higgins DG, Sharp PM. CLUSTAL: a package for performing multiple sequence alignment on a microcomputer. Gene. 1988; 73:237–44.HigginsDGSharpPMCLUSTAL: a package for performing multiple sequence alignment on a microcomputer198873237–4410.1016/0378-1119(88)90330-7Search in Google Scholar
Sarkar A, Kellogg GE. Hydrophobicity - shake flasks, protein folding and drug discovery. Curr Top Med Chem 2010; 10:67–83.SarkarAKelloggGEHydrophobicity - shake flasks, protein folding and drug discovery20101067–8310.2174/156802610790232233285185219929828Search in Google Scholar
Wiederstein M, Sippl MJ. ProSA-web: interactive web service for the recognition of errors in three-dimensional structures of proteins. Nucleic Acids Res. 2007; 35(Web Server issue):W407–10.WiedersteinMSipplMJProSA-web: interactive web service for the recognition of errors in three-dimensional structures of proteins200735Web Server issueW407–1010.1093/nar/gkm290193324117517781Search in Google Scholar
Goldfarb A, Lewandowska K, Shoham M. Determinants of helix-loop-helix dimerization affinity: random mutational analysis of SCL/tal. J Biol Chem. 1996; 271:2683–8.GoldfarbALewandowskaKShohamMDeterminants of helix-loop-helix dimerization affinity: random mutational analysis of SCL/tal19962712683–810.1074/jbc.271.5.26838576241Search in Google Scholar
Lodish H, Berk A, Zipursky SL, Matsudaira P, Baltimore D, Darnell J. Molecular cell biology. 4th ed. New York: W. H. Freeman; 2000.LodishHBerkAZipurskySLMatsudairaPBaltimoreDDarnellJNew YorkW. H. Freeman2000Search in Google Scholar
Lustig B, Jernigan RL. Consistencies of individual DNA base–amino acid interactions in structures and sequences. Nucleic Acids Res. 1995; 23:4707–11.LustigBJerniganRLConsistencies of individual DNA base–amino acid interactions in structures and sequences1995234707–1110.1093/nar/23.22.47073074478524664Search in Google Scholar
Mojsilovic-Petrovic J, Callaghan D, Cui H, Dean C, Stanimirovic DB, Zhang W. Hypoxia-inducible factor-1 (HIF-1) is involved in the regulation of hypoxia-stimulated expression of monocyte chemoattractant protein-1 (MCP-1/CCL2) and MCP-5 (Ccl12) in astrocytes. J Neuroinflammation. 2007; 2:12. 10.1186/1742-2094-4-12Mojsilovic-PetrovicJCallaghanDCuiHDeanCStanimirovicDBZhangWHypoxia-inducible factor-1 (HIF-1) is involved in the regulation of hypoxia-stimulated expression of monocyte chemoattractant protein-1 (MCP-1/CCL2) and MCP-5 (Ccl12) in astrocytes200721210.1186/1742-2094-4-12187202017474992Open DOISearch in Google Scholar
Chang S-N, Lin J-W, Juang J-M, Tsai C-T, Hwang J-J, Chiang F-T. Association between genetic polymorphisms in the renin-angiotensin system and systolic heart failure revised by a propensity score-based analysis. Cardiology. 2010; 116:279–85.ChangS-NLinJ-WJuangJ-MTsaiC-THwangJ-JChiangF-TAssociation between genetic polymorphisms in the renin-angiotensin system and systolic heart failure revised by a propensity score-based analysis2010116279–8510.1159/00032112320861628Search in Google Scholar
Purkait P, Halder K, Thakur S, Ghosh Roy A, Raychaudhuri P, Bhattacharya S, et al. Association of angiotensinogen gene SNPs and haplotypes with risk of hypertension in eastern Indian population. Clin Hypertens. 2017; 23:12. 10.1186/s40885-017-0069-xPurkaitPHalderKThakurSGhoshRoy ARaychaudhuriPBhattacharyaSet alAssociation of angiotensinogen gene SNPs and haplotypes with risk of hypertension in eastern Indian population2017231210.1186/s40885-017-0069-x537119128361007Open DOISearch in Google Scholar