Confirmation of human protein interaction data by human expression data

Background: With microarray technology the expression of thousands of genes can be measured simultaneously. It is well known that the expression levels of genes of interacting proteins are correlated significantly more strongly in Saccharomyces cerevisiae than those of proteins that are not interacting. The objective of this work is to investigate whether this observation extends to the human genome. Results: We investigated the quantitative relationship between expression levels of genes encoding interacting proteins and genes encoding random protein pairs. Therefore we studied 1369 interacting human protein pairs and human gene expression levels of 155 arrays. We were able to establish a statistically significantly higher correlation between the expression levels of genes whose proteins interact compared to random protein pairs. Additionally we were able to provide evidence that genes encoding proteins belonging to the same GO-class show correlated expression levels. Conclusion: Thi...

• Type: Journal
• Year: 2005
• Where: BMCBI
• Authors: Andreas Hahn, Jörg Rahnenführer, Priti Talwar, Thomas Lengauer
• Keywords: BMCBI 2005, Expression Levels, Protein Pairs, Proteins