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Global gene expression in human myocardium—oligonucleotide microarray analysis of regional diversity and transcriptional regulation in heart failure

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Abstract

To obtain region- and disease-specific transcription profiles of human myocardial tissue, we explored mRNA expression from all four chambers of eight explanted failing [idiopathic dilated cardiomyopathy (DCM), n=5; ischemic cardiomyopathy (ICM), n=3], and five non-failing hearts using high-density oligonucleotide arrays (Affymetrix U95Av2). We performed pair-wise comparisons of gene expression in the categories (1) atria versus ventricles, (2) disease-regulated genes in atria and (3) disease-regulated genes in ventricles. In the 51 heart samples examined, 549 genes showed divergent distribution between atria and ventricles (272 genes with higher expression in atria, 277 genes with higher expression in ventricles). Two hundred and eighty-eight genes were differentially expressed in failing myocardium compared to non-failing hearts (19 genes regulated in atria and ventricles, 172 regulated in atria only, 97 genes regulated in ventricles only). For disease-regulated genes, down-regulation was 4.5-times more common than up-regulation. Functional classification according to Gene Ontology identified specific biological patterns for differentially expressed genes. Eleven genes were validated by RT-PCR showing a good correlation with the microarray data. Our goal was to determine a gene expression fingerprint of the heart, accounting for region- and disease-specific aspects. Recognizing common gene expression patterns in heart failure will significantly contribute to the understanding of heart failure and may eventually lead to the development of pathway-specific therapies.

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Abbreviations

CMP :

Cardiomyopathy

DCM :

Idiopathic dilated cardiomyopathy

ICM :

Ischemic cardiomyopathy

LA :

Left atrium

LV :

Left ventricle

NF :

Non-failing

RA :

Right atrium

RV :

Right ventricle

References

  1. Stanton LW, Garrard LJ, Damm D, Garrick BL, Lam A, Kapoun AM, Zheng Q, Protter AA, Schreiner GF, White RT (2000) Altered patterns of gene expression in response to myocardial infarction. Circ Res 86:939–945

    CAS  PubMed  Google Scholar 

  2. Yang J, Moravec CS, Sussman MA, DiPaola NR, Fu D, Hawthorn L, Mitchell CA, Young JB, Francis GS, McCarthy PM, Bond M (2000) Decreased SLIM1 expression and increased gelsolin expression in failing human hearts measured by high-density oligonucleotide arrays. Circulation 102:3046–3052

    CAS  PubMed  Google Scholar 

  3. Barrans JD, Allen PD, Stamatiou D, Dzau VJ, Liew CC (2002) Global gene expression profiling of end-stage human dilated cardiomyopathy using a human cardiovascular-based cDNA microarray. Am J Pathol 160:2035–2043

    CAS  PubMed  Google Scholar 

  4. Tan FL, Moravec CS, Li J, Apperson-Hansen C, McCarthy PM, Young JB, Bond M (2002) The gene expression fingerprint of human heart failure. Proc Natl Acad Sci USA 99:11387–11392

    Article  CAS  PubMed  Google Scholar 

  5. Hwang JJ, Allen PD, Tseng GC, Lam CW, Fananapazir L, Dzau VJ, Liew CC (2002) Microarray gene expression profiles in dilated and hypertrophic cardiomyopathic end-stage heart failure. Physiol Genomics 10:31–44

    CAS  PubMed  Google Scholar 

  6. Grzeskowiak R, Witt H, Drungowski M, Thermann R, Henning S, Perrot A, Osterziel KJ, Klingbiel D, Scheid S, Spang R, Lehrach H, Ruiz P (2003) Expression profiling of human idiopathic dilated cardiomyopathy. Cardiovasc Res 59:400–411

    Article  CAS  PubMed  Google Scholar 

  7. Steenman M, Chen YW, Le Cunff M, Lamirault G, Varró A, Hoffman E, Léger JJ (2003) Transcriptomal analysis of failing and non-failing human hearts. Physiol Genomics 12:97–112

    CAS  PubMed  Google Scholar 

  8. Kaynak B, von Heydebreck A, Mebus S, Seelow D, Henning S, Vogel J, Sperling HP, Pregla R, Alexi-Meskishvili V, Hetzer R, Lange PE, Vingron M, Lehrach H, Sperling S (2003) Genome-wide array analysis of normal and malformed human hearts. Circulation 107:2467–2474

    Article  PubMed  Google Scholar 

  9. Feng J, Wible B, Li GR, Wang Z, Nattel S (1997) Antisense oligodeoxynucleotides directed against Kv1.5 mRNA specifically inhibit ultrarapid delayed rectifier K+ current in cultured adult human atrial myocytes. Circ Res 80:572–579

    CAS  PubMed  Google Scholar 

  10. Holubarsch C, Schmidt-Schweda S, Knorr A, Duis J, Pieske B, Ruf T, Fasol R, Hasenfuss G, Just H (1994) Functional significance of angiotensin receptors in human myocardium. Significant differences between atrial and ventricular myocardium. Eur Heart J [Suppl D]:88–91

  11. Bruneau BG, Logan M, Davis N, Levi T, Tabin CJ, Seidman JG, Seidman CE (1999) Chamber-specific cardiac expression of TBX5 and heart defects in Holt-Oram syndrome. Dev Biol 211:100–108

    Article  CAS  PubMed  Google Scholar 

  12. Kurabayashi M, Komuro I, Tsuchimochi H, Takaku F, Yazaki Y (1988) Molecular cloning and characterization of human atrial and ventricular myosin alkali light chain cDNA clones. J Biol Chem 263:13930–13936

    CAS  PubMed  Google Scholar 

  13. Wang Z, Yue L, White M, Pelletier G, Nattel S (1998) Differential distribution of inward rectifier potassium channel transcripts in human atrium versus ventricle. Circulation 98:2422–2428

    Google Scholar 

  14. Lesage F, Lazdunski M (2000) Molecular and functional properties of two-pore-domain potassium channels. Am J Physiol 279:F793–F801

    CAS  Google Scholar 

  15. Baumer AT, Schumann C, Cremers B, Itter G, Linz W, Jockenhovel F, Bohm M (2002) Gene expression of adrenomedullin in failing myocardium: comparison to atrial natriuretic peptide. J Appl Physiol 92:1058–1063

    CAS  PubMed  Google Scholar 

  16. Liu G, Loraine AE, Shigeta R, Cline M, Cheng J, Valmeekam V, Sun S, Kulp D, Siani-Rose MA (2003) NetAffx: Affymetrix probesets and annotations. Nucleic Acids Res 31:82–86

    Article  CAS  PubMed  Google Scholar 

  17. Ihaka R, Gentleman R (1996) R: a language for data analysis and graphics. J Comput Graphic Stat 5:299–314

    Google Scholar 

  18. Irizarry R, Gautier L, Cope L (2003) An r package for analyses of affymetrix oligonucleotide arrays. In: Parmigiani G, Garrett ES, Irizarry RA, Zeger SL (eds) The analysis of gene expression data: methods and software. Springer, Berlin Heidelberg New York

  19. Gentleman R, Carey VJ (2003) Visualization and annotation of genomic experiments. In: Parmigiani G, Garrett ES, Irizarry RA, Zeger SL (eds) The analysis of gene expression data: methods and software. Springer, Berlin Heidelberg New York

  20. Huber W, von Heydebreck A, Sültmann H, Pustka A, Vingron M (2002) Variance stabilization applied to microarray data calibration and to the quantification of differential expression. Bioinformatics 18 [Suppl 1]:S96–S104

  21. Boheler KR, Volkova M, Morrell C, Garg R, Zhu Y, Margulies K, Seymour AM, Lakatta EG (2003) Sex- and age-dependent human transcriptome variability: Implications for chronic heart failure. Proc Natl Acad Sci USA 100:2754–2759

    Article  CAS  PubMed  Google Scholar 

  22. Golub TR, Slonim DK, Tamayo P, Huard C, Gaasenbeek M, Mesirov JP, Coller H, Loh ML, Downing JR, Caligiuri MA, Bloomfield CD, Lander ES (1999) Molecular classification of cancer: class discovery and class prediction by gene expression monitoring. Science 286:531–537

    Article  PubMed  Google Scholar 

  23. Sturn A, Quackenbush J, Trajanoski Z (2002) Genesis: cluster analysis of microarray data. Bioinformatics 18:207–208

    Google Scholar 

  24. The Gene Ontology Consortium (2000) Gene ontology: tools for the unification of biology. Nature 25:25–29

    Article  Google Scholar 

  25. Bussey KJ, Kane D, Sunshine M, Narasimhan S, Nishizuka S, Reinhold WC, Zeeberg B, Weinstein A, Weinstein JN (2003) MatchMiner: a tool for batch navigation among gene and gene product identifiers. Genome Biol 4:R27

    Article  PubMed  Google Scholar 

  26. Rajeevan MS, Vernon SD, Taysavang N, Unger ER (2001) Validation of array-based gene expression profiles by real-time (kinetic) RT-PCR. J Mol Diagn 3:26–31

    CAS  PubMed  Google Scholar 

  27. Pfaffl MW, Horgan GW, Dempfle L (2002) Relative expression software tool (REST) for group-wise comparison and statistical analysis of relative expression results in real-time PCR. Nucleic Acids Res 30:e36

    Article  PubMed  Google Scholar 

  28. Ewart HS, Carroll R, Severson DL (1997) Lipoprotein lipase activity in rat cardiomyocytes is stimulated by insulin and dexamethasone. Biochem J 327:439–442

    CAS  PubMed  Google Scholar 

  29. Knobloch K, Brendel J, Peukert S, Rosenstein B, Busch AE, Wirth KJ (2002) Electrophysiological and antiarrhythmic effects of the novel I(Kur) channel blockers, S9947 and S20951, on left vs. right pig atrium in vivo in comparison with the I(Kr) blockers dofetilide, azimilide, d,l-sotalol and ibutilide. Naunyn Schmiedebergs Arch Pharmacol 366:482–487

    Article  CAS  PubMed  Google Scholar 

  30. Donahue JK, Heldman AW, Fraser H, McDonald AD, Miller JM, Rade JJ, Eschenhagen T, Marban E (2000) Focal modification of electrical conduction in the heart by viral gene transfer. Nature Med 6:1395–1398

    Article  CAS  PubMed  Google Scholar 

  31. Miake J, Marban E, Nuss HB (2002) Gene therapy: Biological pacemaker created by gene transfer. Nature 419:132–133

    Article  CAS  Google Scholar 

  32. Zhao XS, Gallardo TD, Lin L, Schageman JJ, Shohet RV (2002) Transcriptional mapping and genomic analysis of cardiac atria and ventricles. Physiol Genomics 12:53–60

    CAS  PubMed  Google Scholar 

  33. Zolk O, Ng LL, O’Brian RJ, Weyand M, Eschenhagen T (2002) Augmented expression of cardiotrophin-1 in failing human hearts is accompanied by diminished glycoprotein 130 receptor protein abundance. Circulation 106:1442–1446

    Article  CAS  PubMed  Google Scholar 

  34. Kunisada K, Negoro S, Tone E, Funamoto M, Osugi T, Yamada S, Okabe M, Kishimoto T, Yamauchi-Takihara K (2000) Signal transducer and activator of transcription 3 in the heart transduces not only a hypertrophic signal but a protective signal against doxorubicin-induced cardiomyopathy. Proc Natl Acad Sci USA 97:315–319

    Article  CAS  PubMed  Google Scholar 

  35. Fedak PW, Altamentova SM, Weisel RD, Nili N, Ohno N, Verma S, Lee TY, Kiani C, Mickle DA, Strauss BH, Li RK (2003) Matrix remodeling in experimental and human heart failure: a possible regulatory role for TIMP-3. Am J Physiol 284:H626–H634

    CAS  Google Scholar 

  36. Cohn JN, Johnson G, Ziesche S, et al. (1991) A comparison of enalapril with hydralazine isosorbide dinitrate in the treatment of chronic congestive heart failure. N Engl J Med 325:303–310

    CAS  PubMed  Google Scholar 

  37. CONSENSUS study trial group (1991) Effect of enalapril on survival in patients with reduced left ventricular ejection fractions and congestive heart failure. The solvd investigators. N Engl J Med 325:293–302

    PubMed  Google Scholar 

  38. Marban E (2002) Cardiac channelopathies. Nature 415:213–218

    Article  CAS  PubMed  Google Scholar 

  39. Hoffmann R, Seidl T, Dugas M (2002) Profound effect of normalization on detection of differentially expressed genes in oligonucleotide microarray data analysis. Genome Biol 3:1–11

    Google Scholar 

Download references

Acknowledgements

This work was funded by a grant of the Bundesministerium für Bildung und Forschung (BMBF-grant 01GS0109; S.K., M.N.) supporting the German National Genome Research Network (NGFN) and an institutional grant (FöFoLe; A.S.B.). The data presented here were generated and analyzed in the framework of a research collaboration with Aventis Pharma Deutschland GmbH.

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Correspondence to Stefan Kääb or Andreas S. Barth.

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S. Kääb and A.S. Barth contributed equally

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Kääb, S., Barth, A.S., Margerie, D. et al. Global gene expression in human myocardium—oligonucleotide microarray analysis of regional diversity and transcriptional regulation in heart failure. J Mol Med 82, 308–316 (2004). https://doi.org/10.1007/s00109-004-0527-2

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