Using a network analysis of proteomics data, we were able to find modules reflecting differentially regulated functions between normal and dysfunctional mt states. We found that up-regulated and down-regulated proteins of dysfunctional mt states were organized into two predominant subnetworks that exhibited distinct biological processes. It has been suggested that proteins cooperate with other proteins as a part of functional module which tend to physically associated or share similar expressions to deliver a certain biological function [36, 37] . Network analyses of molecular pathways or complexes elucidated the collective behavior of differentially expressed proteins and provided complementary information to conventional single gene-based analysis which routinely performed in proteomic analyses [38, 39] . We discovered that not only the relevant proteins changed their expression under dysfunctional mt state, but also the subnetworks composed of multiple functional protein groups changed their expression cooperatively to regulate biological processes. These network-module alterations are particular importance for relating an altered phenotype with dysfunctional mt state at molecular level because phenotypic alterations are more closely related with pathway remodeling than individual gene expression changes [38] .