tailieunhanh - Báo cáo sinh học : "Can modular analysis identify disease-associated candidate genes for therapeutics"

Tuyển tập các báo cáo nghiên cứu về sinh học được đăng trên tạp chí sinh học Journal of Biology đề tài: Can modular analysis identify disease-associated candidate genes for therapeutics? | BioMed Central Journal of Biology Minireview Can modular analysis identify disease-associated candidate genes for therapeutics Jesper Tegnér Address Department of Medicine Center for Molecular Medicine Karolinska University Hospital 171 76 Solna Stockholm Sweden. Email Published 28 May 2009 Journal of Biology 2009 8 48 doi jbiol149 The electronic version of this article is the complete one and can be found online at http content 8 5 48 2009 BioMed Central Ltd Abstract Complex diseases such as allergy change gene expression in several cell types and tissues. Benson and colleagues have now shown in a paper in BMC Systems Biology that this complexity can be studied effectively using an integrated experimental and computational modular analysis. Their strategy revealed a core of allergy-associated genes of potential therapeutic value. Technologies are an important driver of progress in the medical sciences. Recent advances in array-based and sequence-based instrumentation have opened up new ways to monitor the inner molecular world of the cells and tissues that might be relevant to human diseases. Yet it is far from evident how these large datasets should be analyzed and how they can be integrated with other sources of data in order to become informative. Conversely the medical community expects nothing less than a list of predictive biomarkers reflecting the risk of disease or its progression and an understanding of the cellular mechanisms involved in disease. However comparing microarray samples from healthy and diseased individuals using a differential gene expression protocol generates a list of thousands of genes and it is not clear which genes are important for what. A key idea originating from engineering science in general and computer science in particular is the notion of divide and conquer which refers to first breaking down a problem into smaller sub-problems that are simple enough to allow an analysis and then .