Literature DB >> 14686095

Microarray technology--the future analyses tool in exercise physiology?

E Fehrenbach1, D Zieker, A M Niess, E Moeller, S Russwurm, H Northoff.   

Abstract

Microarray analysis offers a set of analytical platforms that provide rapid, affordable and substantial information at the DNA, RNA or protein level. It enables the analysis of thousands of genes simultaneously in a parallel manner across samples derived from various biological sources and treatment regimens. This development became possible as a result of the combination of three technological advances achieved at the beginning of the 1990's, namely parallelism, miniaturization and automation. In regular physical checkups the microarray technology could be used to supplement the current spectrum of tests and therefore enhance the quality of the data obtained. Arrays for analyses of RNA expression will allow gene expression profiling also in exercise physiology. DNA chips may also be used for genetic screening and diagnostics to analyze polymorphisms and mutations which may underlie genetic diseases or interindividual variations between subjects. Using microarrays in exercise physiology will provide new insights into the complex molecular mechanisms of the exercise-induced stress response, adaptation to training and modulation of immune function. Gene expression profiling and genetic screening will probably help to characterize and predict the individually variable response to and efficiency of training.

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Year:  2003        PMID: 14686095

Source DB:  PubMed          Journal:  Exerc Immunol Rev        ISSN: 1077-5552            Impact factor:   6.308


  2 in total

1.  Passing the anaerobic threshold is associated with substantial changes in the gene expression profile in white blood cells.

Authors:  Dmitry A Sakharov; Diana V Maltseva; Evgeniy A Riabenko; Maxim U Shkurnikov; Hinnak Northoff; Alexander G Tonevitsky; Anatoly I Grigoriev
Journal:  Eur J Appl Physiol       Date:  2011-06-30       Impact factor: 3.078

2.  Development of a cross-disciplinary investigative model for the introduction of microarray techniques at non-r1 undergraduate institutions.

Authors:  David E Walker; Gary P Lutz; Consuelo J Alvarez
Journal:  CBE Life Sci Educ       Date:  2008       Impact factor: 3.325

  2 in total

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