Abstract
The proteomes of ordered and disordered lipid microdomains in rat liver microsomes from control and phenobarbital (PB)-treated rats were determined after solubilization with Brij 98 and analyzed by tandem mass tag (TMT)-liquid chromatography-mass spectrometry (LC-MS). This allowed characterization of the liver microsomal proteome and the effects of phenobarbital-mediated induction, focusing on quantification of the relative levels of the drug-metabolizing enzymes._The microsomal proteome from control rats was represented by 333 (23%) proteins from ordered lipid microdomains, 517 (36%) proteins from disordered lipid domains, and 587 (41%) proteins that uniformly distributed between lipid microdomains. Most enzymes related to drug metabolism were mainly localized in disordered lipid microdomains. However, cytochrome P450 (CYP) 1A2, multiple forms of CYP2D, and several forms of UDP glucuronosyltransferases (UGT) 1A1 and 1A6) localized to ordered lipid microdomains. Other drug-metabolizing enzymes, including several forms of cytochromes P450, were uniformly distributed between the ordered and disordered regions. The redox partners, NADPH-cytochrome P450 reductase and cytochrome b5, localized to disordered microdomains. PB induction resulted in only modest changes in protein localization. Less than five proteins were variably associated with the ordered and disordered membrane microdomains in PB and control microsomes. PB induction was associated with fewer proteins localizing in the disordered membranes and more being uniformly distributed or localized to ordered domains. Ingenuity Pathway Analysis (IPA) was used to ascertain the effect of PB on cellular pathways, resulting in attenuation of pathways related to energy storage/utilization and overall cellular signaling and an increase in those related to degradative pathways. SIGNIFICANCE STATEMENT: This work identifies the lipid microdomain localization of the proteome from control and phenobarbital-induced rat liver microsomes. Thus, it provides an initial framework to understand how lipid/protein segregation influences protein-protein interactions in a tissue extract commonly used for studies in drug metabolism and uses bioinformatics to elucidate the effects of phenobarbital induction on cellular pathways.