Literature DB >> 25488931

Quantitative transporter proteomics by liquid chromatography with tandem mass spectrometry: addressing methodologic issues of plasma membrane isolation and expression-activity relationship.

Vineet Kumar1, Bhagwat Prasad1, Gabriela Patilea1, Anshul Gupta1, Laurent Salphati1, Raymond Evers1, Cornelis E C A Hop1, Jashvant D Unadkat2.   

Abstract

To predict transporter-mediated drug disposition using physiologically based pharmacokinetic models, one approach is to measure transport activity and relate it to protein expression levels in cell lines (overexpressing the transporter) and then scale these to via in vitro to in vivo extrapolation (IVIVE). This approach makes two major assumptions. First, that the expression of the transporter is predominantly in the plasma membrane. Second, that there is a linear correlation between expression level and activity of the transporter protein. The present study was conducted to test these two assumptions. We evaluated two commercially available kits that claimed to separate plasma membrane from other cell membranes. The Qiagen Qproteome kit yielded very little protein in the fraction purported to be the plasma membrane. The Abcam Phase Separation kit enriched the plasma membrane but did not separate it from other intracellular membranes. For the Abcam method, the expression level of organic anion-transporting polypeptides (OATP) 1B1/2B1 and breast cancer resistance protein (BCRP) proteins in all subcellular fractions isolated from cells or human liver tissue tracked that of Na⁺-K⁺ ATPase. Assuming that Na⁺-K⁺ ATPase is predominantly located in the plasma membrane, these data suggest that the transporters measured are also primarily located in the plasma membrane. Using short hairpin RNA, we created clones of cell lines with varying degrees of OATP1B1 or BCRP expression level. In these clones, transport activity of OATP1B1 or BCRP was highly correlated with protein expression level (r² > 0.9). These data support the use of transporter expression level data and activity data from transporter overexpressing cell lines for IVIVE of transporter-mediated disposition of drugs.
Copyright © 2014 by The American Society for Pharmacology and Experimental Therapeutics.

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Year:  2014        PMID: 25488931     DOI: 10.1124/dmd.114.061614

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


  13 in total

1.  Optimization and Application of a Biotinylation Method for Quantification of Plasma Membrane Expression of Transporters in Cells.

Authors:  Vineet Kumar; Tot Bui Nguyen; Beáta Tóth; Viktoria Juhasz; Jashvant D Unadkat
Journal:  AAPS J       Date:  2017-07-24       Impact factor: 4.009

2.  CYP2D6 Is Inducible by Endogenous and Exogenous Corticosteroids.

Authors:  Muhammad Farooq; Edward J Kelly; Jashvant D Unadkat
Journal:  Drug Metab Dispos       Date:  2016-03-10       Impact factor: 3.922

Review 3.  Post-translational regulation of the major drug transporters in the families of organic anion transporters and organic anion-transporting polypeptides.

Authors:  Wooin Lee; Jeong-Min Ha; Yuichi Sugiyama
Journal:  J Biol Chem       Date:  2020-10-13       Impact factor: 5.157

Review 4.  Critical Issues and Optimized Practices in Quantification of Protein Abundance Level to Determine Interindividual Variability in DMET Proteins by LC-MS/MS Proteomics.

Authors:  Deepak Kumar Bhatt; Bhagwat Prasad
Journal:  Clin Pharmacol Ther       Date:  2017-09-25       Impact factor: 6.875

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.  The Promises of Quantitative Proteomics in Precision Medicine.

Authors:  Bhagwat Prasad; Marc Vrana; Aanchal Mehrotra; Katherine Johnson; Deepak Kumar Bhatt
Journal:  J Pharm Sci       Date:  2016-12-08       Impact factor: 3.534

7.  Differential Detergent Fractionation of Membrane Protein From Small Samples of Hepatocytes and Liver Tissue for Quantitative Proteomic Analysis of Drug Metabolizing Enzymes and Transporters.

Authors:  Rani J Qasem; John K Fallon; Manisha Nautiyal; Merrie Mosedale; Philip C Smith
Journal:  J Pharm Sci       Date:  2020-10-22       Impact factor: 3.534

8.  Hepatic Transporter Alterations by Nuclear Receptor Agonist T0901317 in Sandwich-Cultured Human Hepatocytes: Proteomic Analysis and PBPK Modeling to Evaluate Drug-Drug Interaction Risk.

Authors:  Katsuaki Ito; Noora Sjöstedt; Melina M Malinen; Cen Guo; Kim L R Brouwer
Journal:  J Pharmacol Exp Ther       Date:  2020-03-03       Impact factor: 4.030

9.  Abundance of Drug Transporters in the Human Kidney Cortex as Quantified by Quantitative Targeted Proteomics.

Authors:  Bhagwat Prasad; Katherine Johnson; Sarah Billington; Caroline Lee; Git W Chung; Colin D A Brown; Edward J Kelly; Jonathan Himmelfarb; Jashvant D Unadkat
Journal:  Drug Metab Dispos       Date:  2016-09-12       Impact factor: 3.922

Review 10.  Physiologically-Based Pharmacokinetic Models for Evaluating Membrane Transporter Mediated Drug-Drug Interactions: Current Capabilities, Case Studies, Future Opportunities, and Recommendations.

Authors:  Kunal S Taskar; Venkatesh Pilla Reddy; Howard Burt; Maria M Posada; Manthena Varma; Ming Zheng; Mohammed Ullah; Arian Emami Riedmaier; Ken-Ichi Umehara; Jan Snoeys; Masanori Nakakariya; Xiaoyan Chu; Maud Beneton; Yuan Chen; Felix Huth; Rangaraj Narayanan; Dwaipayan Mukherjee; Vaishali Dixit; Yuichi Sugiyama; Sibylle Neuhoff
Journal:  Clin Pharmacol Ther       Date:  2019-12-31       Impact factor: 6.875

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