PT  - JOURNAL ARTICLE
AU  - Vildhede, Anna
AU  - Nguyen, Chuong
AU  - Erickson, Brian K.
AU  - Kunz, Ryan C.
AU  - Jones, Richard
AU  - Kimoto, Emi
AU  - Bourbonais, Francis
AU  - Rodrigues, A. David
AU  - Varma, Manthena V.S.
TI  - Comparison of Proteomic Quantification Approaches for Hepatic Drug Transporters: Multiplexed Global Quantitation Correlates with Targeted Proteomic Quantitation
AID  - 10.1124/dmd.117.079285
DP  - 2018 May 01
TA  - Drug Metabolism and Disposition
PG  - 692--696
VI  - 46
IP  - 5
4099  - http://dmd.aspetjournals.org/content/46/5/692.short
4100  - http://dmd.aspetjournals.org/content/46/5/692.full
SO  - Drug Metab Dispos2018 May 01; 46
AB  - Targeted protein quantification using liquid chromatography–tandem mass spectrometry with stable isotope-labeled standards is recognized as the gold standard of practice for protein quantification. Such assays, however, can only cover a limited number of proteins, and developing targeted methods for larger numbers of proteins requires substantial investment. Alternatively, large-scale global proteomic experiments along with computational methods such as the “total protein approach” (TPA) have the potential to provide extensive protein quantification. In this study, we compared the TPA-based quantitation of seven major hepatic uptake transporters in four human liver tissue samples using global proteomic data obtained from two multiplexed tandem mass tag experiments (performed in two independent laboratories) to the quantitative data from targeted proteomic assays. The TPA-based quantitation of these hepatic transporters [sodium-taurocholate cotransporting polypeptide (NTCP/SLC10A1), organic anion transporter 2 (OAT2/SLC22A7), OAT7/SLC22A9, organic anion-transporting polypeptide 1B1 (OATP1B1/SLCO1B1), OATP1B3/SLCO1B3, OATP2B1/SLCO2B1, and organic cation transporter (OCT1/SLC22A1)] showed good-to-excellent correlations (Pearson r = 0.74–1.00) to the targeted data. In addition, the values were similar to those measured by targeted proteomics with 71% and 86% of the data sets falling within 3-fold of the targeted data. A comparison of the TPA-based quantifications of enzyme abundances to available literature data showed that the majority of the enzyme quantifications fell within the reference data intervals. In conclusion, these results demonstrate the capability of multiplexed global proteomic experiments to detect differences in protein expression between samples and provide reasonable estimations of protein expression levels.