Literature DB >> 25696214

Methods in molecular cardiology: microarray technology.

B van den Bosch, P A Doevendans, D Lips, H J M Smeets.   

Abstract

It has become more and more evident that changes in expression levels of genes can play an important role in cardiovascular diseases. Specific gene expression profiles may explain, for example, the pathophysiology of myocardial hypertrophy and pump failure and may provide clues for therapeutic interventions. Knowledge of gene expression patterns can also be applied for diagnostic and prognostic purposes, in which differences in gene activity can be used for classification. DNA microarray technology has become the method of choice to simultaneously study the expression of many different genes in a single assay. Each microarray contains many thousands of different DNA sequences attached to a glass slide. The amount of messenger RNA, which is a measure of gene activity, is compared for each gene on the microarray by labelling the mRNA with different fluorescently labelled nucleotides (Cy3 or Cy5) for the test and reference samples. After hybridisation to the microarray the relative amounts of a particular gene transcript in the two samples can be determined by measuring the signal intensities for the fluorescent groups (Cy3 and Cy5) and calculating signal ratios. This paper describes the development of in-house microarray technology, using commercially available cDNA collections. Several technical approaches will be compared and an overview of the pitfalls and possibilities will be presented. The technology will be explained in the context of our project to determine gene expression differences between normal, hypertrophic and failing heart.

Entities:  

Keywords:  microarray technology; molecular cardiology

Year:  2003        PMID: 25696214      PMCID: PMC2499917     

Source DB:  PubMed          Journal:  Neth Heart J        ISSN: 1568-5888            Impact factor:   2.380


  13 in total

1.  Assessment of clone identity and sequence fidelity for 1189 IMAGE cDNA clones.

Authors:  R G Halgren; M R Fielden; C J Fong; T R Zacharewski
Journal:  Nucleic Acids Res       Date:  2001-01-15       Impact factor: 16.971

Review 2.  The application of DNA microarrays in gene expression analysis.

Authors:  N L van Hal; O Vorst; A M van Houwelingen; E J Kok; A Peijnenburg; A Aharoni; A J van Tunen; J Keijer
Journal:  J Biotechnol       Date:  2000-03-31       Impact factor: 3.307

3.  Genome-wide expression profiling of mid-gestation placenta and embryo using a 15,000 mouse developmental cDNA microarray.

Authors:  T S Tanaka; S A Jaradat; M K Lim; G J Kargul; X Wang; M J Grahovac; S Pantano; Y Sano; Y Piao; R Nagaraja; H Doi; W H Wood; K G Becker; M S Ko
Journal:  Proc Natl Acad Sci U S A       Date:  2000-08-01       Impact factor: 11.205

Review 4.  A concise guide to cDNA microarray analysis.

Authors:  P Hegde; R Qi; K Abernathy; C Gay; S Dharap; R Gaspard; J E Hughes; E Snesrud; N Lee; J Quackenbush
Journal:  Biotechniques       Date:  2000-09       Impact factor: 1.993

Review 5.  The molecular genetic basis for hypertrophic cardiomyopathy.

Authors:  A J Marian; R Roberts
Journal:  J Mol Cell Cardiol       Date:  2001-04       Impact factor: 5.000

6.  MLP-deficient mice exhibit a disruption of cardiac cytoarchitectural organization, dilated cardiomyopathy, and heart failure.

Authors:  S Arber; J J Hunter; J Ross; M Hongo; G Sansig; J Borg; J C Perriard; K R Chien; P Caroni
Journal:  Cell       Date:  1997-02-07       Impact factor: 41.582

7.  The frequency of familial dilated cardiomyopathy in a series of patients with idiopathic dilated cardiomyopathy.

Authors:  V V Michels; P P Moll; F A Miller; A J Tajik; J S Chu; D J Driscoll; J C Burnett; R J Rodeheffer; J H Chesebro; H D Tazelaar
Journal:  N Engl J Med       Date:  1992-01-09       Impact factor: 91.245

8.  Gene expression profiling predicts clinical outcome of breast cancer.

Authors:  Laura J van 't Veer; Hongyue Dai; Marc J van de Vijver; Yudong D He; Augustinus A M Hart; Mao Mao; Hans L Peterse; Karin van der Kooy; Matthew J Marton; Anke T Witteveen; George J Schreiber; Ron M Kerkhoven; Chris Roberts; Peter S Linsley; René Bernards; Stephen H Friend
Journal:  Nature       Date:  2002-01-31       Impact factor: 49.962

9.  Cluster analysis and display of genome-wide expression patterns.

Authors:  M B Eisen; P T Spellman; P O Brown; D Botstein
Journal:  Proc Natl Acad Sci U S A       Date:  1998-12-08       Impact factor: 11.205

10.  Segregation of atrial-specific and inducible expression of an atrial natriuretic factor transgene in an in vivo murine model of cardiac hypertrophy.

Authors:  H A Rockman; R S Ross; A N Harris; K U Knowlton; M E Steinhelper; L J Field; J Ross; K R Chien
Journal:  Proc Natl Acad Sci U S A       Date:  1991-09-15       Impact factor: 11.205

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