Comparison of Proteomic Quantification Approaches for Hepatic Drug Transporters: Multiplexed Global Quantitation Correlates with Targeted Proteomic Quantitation

被引:22
|
作者
Vildhede, Anna [1 ]
Chuong Nguyen [2 ]
Erickson, Brian K. [3 ]
Kunz, Ryan C. [3 ]
Jones, Richard [4 ]
Kimoto, Emi [1 ]
Bourbonais, Francis [2 ]
Rodrigues, A. David [1 ]
Varma, Manthena V. S. [1 ]
机构
[1] Pfizer Worldwide R&D, Pharmacokinet Dynam & Metab, Med Design, Groton, CT USA
[2] Pfizer Worldwide R&D, Discovery Sci, Med Design, Groton, CT USA
[3] IQ Prote, Cambridge, MA USA
[4] MS Bioworks, Ann Arbor, MI USA
关键词
TANDEM MASS-SPECTROMETRY; ABSOLUTE QUANTIFICATION; CYTOCHROME-P450; ENZYMES; LIQUID CHROMATOGRAPHY; HUMAN HEPATOCYTES; TOTAL PROTEIN; EXPRESSION; VARIABILITY; METAANALYSIS; BIOLOGY;
D O I
10.1124/dmd.117.079285
中图分类号
R9 [药学];
学科分类号
1007 ;
摘要
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.
引用
收藏
页码:692 / 696
页数:5
相关论文
共 17 条
  • [1] COMPARISON OF PROTEOMIC QUANTIFICATION APPROACHES: TARGETED VERSUS MULTIPLEXED GLOBAL QUANTITATION OF HEPATIC DRUG TRANSPORTERS
    Vildhede, Anna
    Chuong Nguyen
    Kimoto, Emi
    Rodrigues, A. David
    Varma, Manthena V.
    [J]. DRUG METABOLISM AND PHARMACOKINETICS, 2018, 33 (01) : S16 - S16
  • [2] Ethnic Variability in the Expression of Hepatic Drug Transporters: Absolute Quantification by an Optimized Targeted Quantitative Proteomic Approach
    Peng, Kuan-wei
    Bacon, James
    Zheng, Ming
    Guo, Yingying
    Wang, Michael Zhuo
    [J]. DRUG METABOLISM AND DISPOSITION, 2015, 43 (07) : 1045 - 1055
  • [3] Targeted Proteomic Quantitation of NRF2 Signaling and Predictive Biomarkers in HNSCC
    Wamsley, Nathan T.
    Wilkerson, Emily M.
    Guan, Li
    Lapak, Kyle M.
    Schrank, Travis P.
    Holmes, Brittany J.
    Sprung, Robert W.
    Gilmore, Petra Erdmann
    Gerndt, Sophie P.
    Jackson, Ryan S.
    Paniello, Randal C.
    Pipkorn, Patrik
    Puram, Sidharth, V
    Rich, Jason T.
    Townsend, Reid R.
    Zevallos, Jose P.
    Zolkind, Paul
    Le, Quynh-Thu
    Goldfarb, Dennis
    Major, Michael B.
    [J]. MOLECULAR & CELLULAR PROTEOMICS, 2023, 22 (11)
  • [4] Targeted proteomic assays for quantitation of proteins identified by proteogenomic analysis of ovarian cancer
    Ehwang Song
    Yuqian Gao
    Chaochao Wu
    Tujin Shi
    Song Nie
    Thomas L. Fillmore
    Athena A. Schepmoes
    Marina A. Gritsenko
    Wei-Jun Qian
    Richard D. Smith
    Karin D. Rodland
    Tao Liu
    [J]. Scientific Data, 4
  • [5] Label-Free but Still Constrained: Assessment of Global Proteomic Strategies for the Quantification of Hepatic Enzymes and Transporters
    Barber, Jill
    Al-Majdoub, Zubida M.
    Couto, Narciso
    Vasilogianni, Areti-Maria
    Tillmann, Annika
    Alrubia, Sarah
    Rostami-Hodjegan, Amin
    Achour, Brahim
    [J]. DRUG METABOLISM AND DISPOSITION, 2022, 50 (06) : 762 - 769
  • [6] Data Descriptor: Targeted proteomic assays for quantitation of proteins identified by proteogenomic analysis of ovarian cancer
    Song, Ehwang
    Gao, Yuqian
    Wu, Chaochao
    Shi, Tujin
    Nie, Song
    Fillmore, Thomas L.
    Schepmoes, Athena A.
    Gritsenko, Marina A.
    Qian, Wei-Jun
    Smith, Richard D.
    Rodland, Karin D.
    Liu, Tao
    [J]. SCIENTIFIC DATA, 2017, 4
  • [7] Proteomic analysis for the impact of hypercholesterolemia on expressions of hepatic drug transporters and metabolizing enzymes
    Liu, Yan
    Pu, Qiang-Hong
    Wu, Ming-Jun
    Yu, Chao
    [J]. XENOBIOTICA, 2016, 46 (10) : 940 - 947
  • [8] Global Proteomic Analysis of Human Liver Microsomes: Rapid Characterization and Quantification of Hepatic Drug-Metabolizing Enzymes
    Achour, Brahim
    Al Feteisi, Hajar
    Lanucara, Francesco
    Rostami-Hodjegan, Amin
    Barber, Jill
    [J]. DRUG METABOLISM AND DISPOSITION, 2017, 45 (06) : 666 - 675
  • [9] Targeted Proteomic Quantitation of the Absolute Expression and Turnover of Cystic Fibrosis Transmembrane Conductance Regulator in the Apical Plasma Membrane
    McShane, Adam J.
    Bajrami, Bakim
    Ramos, Alex A.
    Diego-Limpin, Pamela A.
    Farrokhi, Vahid
    Coutermarsh, Bonita A.
    Stanton, Bruce A.
    Jensen, Tim
    Riordan, John R.
    Wetmore, Diana
    Joseloff, Elizabeth
    Yao, Xudong
    [J]. JOURNAL OF PROTEOME RESEARCH, 2014, 13 (11) : 4676 - 4685
  • [10] Proteomic approaches to the quantification of pharmacodynamic effect markers: General applications in drug target and biomarker identification
    Straubinger, Robert M.
    Qu, Jun
    [J]. ANTICANCER RESEARCH, 2007, 27 (3A) : 1373 - 1373