Array lessons from the heart: Focus on the genome and transcriptome of cardiomyopathies

Despina Sanoudou, Elizabeth Vafiadaki, Demetrios A. Arvanitis, Evangelia Kranias, Aikaterini Kontrogianni-Konstantopoulos

Research output: Contribution to journalArticle

27 Citations (Scopus)

Abstract

Our understanding of the cardiovascular system has evolved through the years by extensive studies emphasizing the identification of the molecular and physiological mechanisms involved in its normal function and disease pathogenesis. Major discoveries have been made along the way. However, the majority of this work has focused on specific genes or pathways rather than integrative approaches. In cardiomyopathies alone, over 30 different loci have shown mutations with varying inheritance patterns, yet mostly coding for structural proteins. The emergence of microarrays in the early 1990s paved the way to a new era of cardiovascular research. Microarrays dramatically accelerated the rhythm of discoveries by giving us the ability to simultaneously study thousands of genes in a single experiment. In the field of cardiovascular research, microarrays are having a significant contribution, with the majority of work focusing on end-stage cardiomyopathies that lead to heart failure. Novel molecular mechanisms have been identified, known pathways are seen under new light, disease subgroups begin to emerge, and the effects of various drugs are molecularly dissected. This cross-study data comparison concludes that consistent energy metabolism gene expression changes occur across dilated, hypertrophic, and ischemic cardiomyopathies, while Ca2+ homeostasis changes are prominent in the first two cardiomyopathies, and structural gene expression changes accompany mostly the dilated form. Gene expression changes are further correlated to disease genetics. The future of microarrays in the cardiomyopathy field is discussed with an emphasis on optimum experimental design and on applications in diagnosis, prognosis, and drug discovery.

Original languageEnglish
Pages (from-to)131-143
Number of pages13
JournalPhysiological Genomics
Volume21
DOIs
Publication statusPublished - 1 Jul 2005
Externally publishedYes

Fingerprint

Cardiomyopathies
Transcriptome
Genome
Gene Expression
Inheritance Patterns
Inborn Genetic Diseases
Hypertrophic Cardiomyopathy
Drug Discovery
Cardiovascular System
Research
Energy Metabolism
Genes
Homeostasis
Research Design
Heart Failure
Light
Mutation
Pharmaceutical Preparations
Proteins

Keywords

  • Calcium homeostasis
  • Heart failure
  • Metabolism
  • Microarrays
  • Structural components

ASJC Scopus subject areas

  • Physiology
  • Genetics

Cite this

Sanoudou, D., Vafiadaki, E., Arvanitis, D. A., Kranias, E., & Kontrogianni-Konstantopoulos, A. (2005). Array lessons from the heart: Focus on the genome and transcriptome of cardiomyopathies. Physiological Genomics, 21, 131-143. https://doi.org/10.1152/physiolgenomics.00259.2004

Array lessons from the heart : Focus on the genome and transcriptome of cardiomyopathies. / Sanoudou, Despina; Vafiadaki, Elizabeth; Arvanitis, Demetrios A.; Kranias, Evangelia; Kontrogianni-Konstantopoulos, Aikaterini.

In: Physiological Genomics, Vol. 21, 01.07.2005, p. 131-143.

Research output: Contribution to journalArticle

Sanoudou, D, Vafiadaki, E, Arvanitis, DA, Kranias, E & Kontrogianni-Konstantopoulos, A 2005, 'Array lessons from the heart: Focus on the genome and transcriptome of cardiomyopathies', Physiological Genomics, vol. 21, pp. 131-143. https://doi.org/10.1152/physiolgenomics.00259.2004
Sanoudou D, Vafiadaki E, Arvanitis DA, Kranias E, Kontrogianni-Konstantopoulos A. Array lessons from the heart: Focus on the genome and transcriptome of cardiomyopathies. Physiological Genomics. 2005 Jul 1;21:131-143. https://doi.org/10.1152/physiolgenomics.00259.2004
Sanoudou, Despina ; Vafiadaki, Elizabeth ; Arvanitis, Demetrios A. ; Kranias, Evangelia ; Kontrogianni-Konstantopoulos, Aikaterini. / Array lessons from the heart : Focus on the genome and transcriptome of cardiomyopathies. In: Physiological Genomics. 2005 ; Vol. 21. pp. 131-143.
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