Literature DB >> 29439128

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

Anna Vildhede1, Chuong Nguyen1, Brian K Erickson1, Ryan C Kunz1, Richard Jones1, Emi Kimoto1, Francis Bourbonais1, A David Rodrigues1, Manthena V S Varma2.   

Abstract

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.
Copyright © 2018 by The American Society for Pharmacology and Experimental Therapeutics.

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Year:  2018        PMID: 29439128     DOI: 10.1124/dmd.117.079285

Source DB:  PubMed          Journal:  Drug Metab Dispos        ISSN: 0090-9556            Impact factor:   3.922


  11 in total

1.  Toward a Consensus on Applying Quantitative Liquid Chromatography-Tandem Mass Spectrometry Proteomics in Translational Pharmacology Research: A White Paper.

Authors:  Bhagwat Prasad; Brahim Achour; Per Artursson; Cornelis E C A Hop; Yurong Lai; Philip C Smith; Jill Barber; Jacek R Wisniewski; Daniel Spellman; Yasuo Uchida; Michael A Zientek; Jashvant D Unadkat; Amin Rostami-Hodjegan
Journal:  Clin Pharmacol Ther       Date:  2019-07-26       Impact factor: 6.875

2.  Label-free absolute protein quantification with data-independent acquisition.

Authors:  Bing He; Jian Shi; Xinwen Wang; Hui Jiang; Hao-Jie Zhu
Journal:  J Proteomics       Date:  2019-03-14       Impact factor: 4.044

3.  Drug Transporters in Xenobiotic Disposition and Pharmacokinetic Prediction.

Authors:  Qingcheng Mao; Yurong Lai; Joanne Wang
Journal:  Drug Metab Dispos       Date:  2018-05       Impact factor: 3.922

Review 4.  Data-independent acquisition (DIA): An emerging proteomics technology for analysis of drug-metabolizing enzymes and transporters.

Authors:  Jiapeng Li; Logan S Smith; Hao-Jie Zhu
Journal:  Drug Discov Today Technol       Date:  2021-07-09

Review 5.  Quantitative Proteomics in Translational Absorption, Distribution, Metabolism, and Excretion and Precision Medicine.

Authors:  Deepak Ahire; Laken Kruger; Sheena Sharma; Vijaya Saradhi Mettu; Abdul Basit; Bhagwat Prasad
Journal:  Pharmacol Rev       Date:  2022-07       Impact factor: 18.923

6.  Human Hepatic Transporter Signature Peptides for Quantitative Targeted Absolute Proteomics: Selection, Digestion Efficiency, and Peptide Stability.

Authors:  Ayano Mori; Takeshi Masuda; Shingo Ito; Sumio Ohtsuki
Journal:  Pharm Res       Date:  2022-09-21       Impact factor: 4.580

7.  Exercise-induced myokines downregulates the ACE2 level in bronchial epithelial cells: Implications for SARS-CoV-2 prevention.

Authors:  Vaishali Bhardwaj; Mart Dela Cruz; Deepika Subramanyam; Rohit Kumar; Sandeep Markan; Beth Parker; Hemant K Roy
Journal:  PLoS One       Date:  2022-07-20       Impact factor: 3.752

8.  Interaction of soy isoflavones and their main metabolites with hOATP2B1 transporter.

Authors:  Lucie Navrátilová; Lenka Applová; Pavel Horký; Přemysl Mladěnka; Petr Pávek; František Trejtnar
Journal:  Naunyn Schmiedebergs Arch Pharmacol       Date:  2018-06-22       Impact factor: 3.000

9.  Label-free quantitative proteomic analysis of serum extracellular vesicles differentiating patients of alcoholic and nonalcoholic fatty liver diseases.

Authors:  Huu-Quang Nguyen; Dabin Lee; Yeoseon Kim; Geul Bang; Kun Cho; Young-Sun Lee; Jong Eun Yeon; David M Lubman; Jeongkwon Kim
Journal:  J Proteomics       Date:  2021-06-02       Impact factor: 3.855

Review 10.  Liquid Chromatography-Tandem Mass Spectrometry (LC-MS/MS)-Based Proteomics of Drug-Metabolizing Enzymes and Transporters.

Authors:  Jiapeng Li; Hao-Jie Zhu
Journal:  Molecules       Date:  2020-06-11       Impact factor: 4.411

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