Lost in centrifugation: Accounting for transporter protein losses in quantitative targeted absolute proteomics

Matthew Harwood, Matthew D. Harwood, Matthew R. Russell, Sibylle Neuhoff, Geoffrey Warhurst, Amin Rostami-Hodjegan

    Research output: Contribution to journalArticlepeer-review


    © 2014 by The American Society for Pharmacology and Experimental Therapeutics.In drug development, considerable efforts are made to extrapolate from in vitro and preclinical findings to predict human drug disposition by using in vitro-in vivo extrapolation (IVIVE) approaches. Use of IVIVE strategies linked with physiologically based pharmacokinetic (PBPK) modeling is widespread, and regulatory agencies are accepting and occasionally requesting model analysis to support licensing submissions. Recently, there has been a drive to improve PBPK models by characterizing the absolute abundance of enzymes, transporters, and receptors within mammalian tissues and in vitro experimental systems using quantitative targeted absolute proteomics (QTAP). The absolute abundance of proteins relevant to processes governing drug disposition provided by QTAP will enable IVIVE-PBPK to incorporate terms for the abundance of enzymes and transporters in target populations. However, most studies that report absolute abundances of enzymes and transporter proteins do so in enriched membrane fractions so as to increase the abundance per sample, and thus the assay's sensitivity, rather than measuring the expected lower abundance in the more biologically meaningful whole cells or tissues. This communication discusses the balance between protein enrichment and potential loss during the preparation of membrane fractions from whole cells or tissues. Accounting for losses with recovery factors throughout the fractionation procedure provides a means to correct for procedural losses, thereby enabling the scaling of protein abundance from subcellular fractions to wholecell or organ abundances. PBPK models based on corrected abundances will more closely resemble biological systems and facilitate development of more meaningful IVIVE scaling factors, producing more accurate quantitative predictions of drug disposition. Copyright
    Original languageEnglish
    Pages (from-to)1766-1772
    Number of pages6
    JournalDrug Metabolism and Disposition
    Issue number10
    Publication statusPublished - 1 Oct 2014


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