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United States Department of Agriculture

Agricultural Research Service

Title: Non-Random Distribution of Cloned Ssh Fragments

Author
item Yocum, George

Submitted to: Insect Genomics Workshop Arlington Virginia October 2001
Publication Type: Abstract Only
Publication Acceptance Date: November 27, 2001
Publication Date: October 28, 2001

Technical Abstract: The strategy of studying the molecular mechanisms of physiological processes has evolved from studying a few genes at a time to examining the global gene expression pattern. Various techniques such as microarray analysis, Serial Analysis of Gene Expression (SAGE), and Suppressive Subtractive Hybridization (SSH) have been successfully used to investigate global gene expression in many organisms. SAGE and SSH require no previous knowledge of the organism's genome. This is a significant advantage in agricultural research, which works predominately with non-model systems. Both of these techniques digest double stranded cDNA into fragments that are then ligated with linkers, amplified, and cloned. I have found that the SSH fragments generated are not equally likely to be cloned, resulting in a skewed population of cloned fragments.

Last Modified: 10/20/2014
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