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Database of Optimized Proteomic Quantitative Methods for Human Drug Disposition‐Related Proteins for Applications in Physiologically Based Pharmacokinetic Modeling
The purpose of this study was to create an open access repository of validated liquid chromatography tandem mass spectrometry (LC‐MS/MS) multiple reaction monitoring (MRM) methods for quantifying 284 important proteins associated with drug absorption, distribution, metabolism, and excretion (ADME)....
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
John Wiley and Sons Inc.
2017
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5397556/ https://www.ncbi.nlm.nih.gov/pubmed/28074615 http://dx.doi.org/10.1002/psp4.12170 |
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author | Vrana, M Whittington, D Nautiyal, V Prasad, B |
author_facet | Vrana, M Whittington, D Nautiyal, V Prasad, B |
author_sort | Vrana, M |
collection | PubMed |
description | The purpose of this study was to create an open access repository of validated liquid chromatography tandem mass spectrometry (LC‐MS/MS) multiple reaction monitoring (MRM) methods for quantifying 284 important proteins associated with drug absorption, distribution, metabolism, and excretion (ADME). Various in silico and experimental approaches were used to select surrogate peptides and optimize instrument parameters for LC‐MS/MS quantification of the selected proteins. The final methods were uploaded to an online public database (QPrOmics; www.qpromics.uw.edu/qpromics/assay/), which provides essential information for facile method development in triple quadrupole mass spectrometry (MS) instruments. To validate the utility of the methods, the differential tissue expression of 107 key ADME proteins was characterized in the tryptic digests of the pooled subcellular fractions of human liver, kidneys, intestines, and lungs. These methods and the data are critical for development of physiologically based pharmacokinetic (PBPK) models to predict xenobiotic disposition. |
format | Online Article Text |
id | pubmed-5397556 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | John Wiley and Sons Inc. |
record_format | MEDLINE/PubMed |
spelling | pubmed-53975562017-04-21 Database of Optimized Proteomic Quantitative Methods for Human Drug Disposition‐Related Proteins for Applications in Physiologically Based Pharmacokinetic Modeling Vrana, M Whittington, D Nautiyal, V Prasad, B CPT Pharmacometrics Syst Pharmacol Database The purpose of this study was to create an open access repository of validated liquid chromatography tandem mass spectrometry (LC‐MS/MS) multiple reaction monitoring (MRM) methods for quantifying 284 important proteins associated with drug absorption, distribution, metabolism, and excretion (ADME). Various in silico and experimental approaches were used to select surrogate peptides and optimize instrument parameters for LC‐MS/MS quantification of the selected proteins. The final methods were uploaded to an online public database (QPrOmics; www.qpromics.uw.edu/qpromics/assay/), which provides essential information for facile method development in triple quadrupole mass spectrometry (MS) instruments. To validate the utility of the methods, the differential tissue expression of 107 key ADME proteins was characterized in the tryptic digests of the pooled subcellular fractions of human liver, kidneys, intestines, and lungs. These methods and the data are critical for development of physiologically based pharmacokinetic (PBPK) models to predict xenobiotic disposition. John Wiley and Sons Inc. 2017-04-04 2017-04 /pmc/articles/PMC5397556/ /pubmed/28074615 http://dx.doi.org/10.1002/psp4.12170 Text en © 2017 The Authors CPT: Pharmacometrics & Systems Pharmacology published by Wiley Periodicals, Inc. on behalf of American Society for Clinical Pharmacology and Therapeutics This is an open access article under the terms of the Creative Commons Attribution‐NonCommercial‐NoDerivs (http://creativecommons.org/licenses/by-nc-nd/4.0/) License, which permits use and distribution in any medium, provided the original work is properly cited, the use is non‐commercial and no modifications or adaptations are made. |
spellingShingle | Database Vrana, M Whittington, D Nautiyal, V Prasad, B Database of Optimized Proteomic Quantitative Methods for Human Drug Disposition‐Related Proteins for Applications in Physiologically Based Pharmacokinetic Modeling |
title | Database of Optimized Proteomic Quantitative Methods for Human Drug Disposition‐Related Proteins for Applications in Physiologically Based Pharmacokinetic Modeling |
title_full | Database of Optimized Proteomic Quantitative Methods for Human Drug Disposition‐Related Proteins for Applications in Physiologically Based Pharmacokinetic Modeling |
title_fullStr | Database of Optimized Proteomic Quantitative Methods for Human Drug Disposition‐Related Proteins for Applications in Physiologically Based Pharmacokinetic Modeling |
title_full_unstemmed | Database of Optimized Proteomic Quantitative Methods for Human Drug Disposition‐Related Proteins for Applications in Physiologically Based Pharmacokinetic Modeling |
title_short | Database of Optimized Proteomic Quantitative Methods for Human Drug Disposition‐Related Proteins for Applications in Physiologically Based Pharmacokinetic Modeling |
title_sort | database of optimized proteomic quantitative methods for human drug disposition‐related proteins for applications in physiologically based pharmacokinetic modeling |
topic | Database |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5397556/ https://www.ncbi.nlm.nih.gov/pubmed/28074615 http://dx.doi.org/10.1002/psp4.12170 |
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