Using Gene Expression Signatures to Dissect Insulin Resistance Subtypes
Author(s) -
B. Hayward,
Nicky Konstantopoulos,
K. Ugarte R
Publication year - 2011
Publication title -
intech ebooks
Language(s) - English
Resource type - Book series
DOI - 10.5772/22889
Subject(s) - biology , gene , computational biology , resistance (ecology) , insulin resistance , gene expression , genetics , insulin , endocrinology , ecology
It is now apparent that many diseases such as diabetes are more complex and heterogeneous than had been thought just a decade ago. Combinations of varying causative factors, as well as interactions between environmental and genetic factors all play a role in the onset of the disease. This complexity has hindered the development of new effective treatment options for patients, and makes understanding the onset of the disease difficult. This chapter will focus on a new technology to study diabetes using a novel unbiased approach, and to develop individualised therapeutics for patients with diabetes.
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