Premium
Microarray technology in the study of obesity and non‐alcoholic fatty liver disease
Author(s) -
Baranova Ancha,
Schlauch Karen,
Gowder Shobha,
Collantes Rochelle,
Chandhoke Vikas,
Younossi Zobair M.
Publication year - 2005
Publication title -
liver international
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.873
H-Index - 110
eISSN - 1478-3231
pISSN - 1478-3223
DOI - 10.1111/j.1478-3231.2005.01183.x
Subject(s) - fatty liver , gene chip analysis , microarray , microarray analysis techniques , disease , computational biology , gene expression profiling , bioinformatics , functional genomics , genomics , medicine , gene expression , biology , gene , pathology , genetics , genome
Abstract: The recent development of high‐throughput gene expression technology permits simultaneous investigation of thousands of genes, providing a snapshot of the transcription state of diseased tissue. Microarray‐based expression profiling is well suited to investigate the molecular basis of complex diseases such as obesity and chronic liver disease. With the help of microarray technology, functional genomics will surely advance our understanding of these diseases, and lead to more effective, targeted interventions that lack the toxicity of many conventional treatments. Despite their tremendous potential, microarray studies are subject to potential flaws in experimental design, experimental techniques, data analysis, and data interpretation. Besides the technical issues, the most important challenge is to develop integrative databases that combine gene expression data with the clinical data. Over the next few years, advances in technology and refinements in study design and data analysis will make clinically relevant translational research even more engaging and productive.