Defining best practice for microarray analyses in nutrigenomic studies.

摘要: Microarrays represent a powerful tool for studies of diet-gene interactions. Their use is, however, associated with number technical challenges and potential pitfalls. The cost microarrays continues to drop but is still comparatively high. This, coupled the complex logistical issues performing nutritional microarray studies, often means that compromises have be made in type samples analysed. Additionally, variations between array platforms analytical procedures will almost inevitably lead differences transcriptional responses observed. Consequently, conflicting data may produced, important effects missed and/or false leads generated (e.g. apparent patterns differential gene regulation ultimately prove incorrect or not significant). This likely particularly true field nutrition, which we expect many dietary bioactive agents at nutritionally relevant concentrations elicit subtle changes transcription critically biological terms difficult detect reliably. Thus, great care should always taken designing executing studies. article seeks provide an overview both main practical theoretical considerations sources variation error. Wherever possible, recommendations are on what propose best approach. overall aims basic framework advice researchers who new promote discussion standardisation practice field. © Authors 2005.