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Rapid CommunicationShort Communication

An Optimized Method for Protein Extraction from OCT-Embedded Human Kidney Tissue for Protein Quantification by LC-MS/MS Proteomics

Marc Vrana, Anne Goodling, Maryam Afkarian and Bhagwat Prasad
Drug Metabolism and Disposition October 2016, 44 (10) 1692-1696; DOI: https://doi.org/10.1124/dmd.116.071522
Marc Vrana
Department of Pharmaceutics (M.V., B.P.) and Kidney Research Institute and Division of Nephrology, Department of Medicine (A.G., M.A.), University of Washington, Seattle, Washington
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Anne Goodling
Department of Pharmaceutics (M.V., B.P.) and Kidney Research Institute and Division of Nephrology, Department of Medicine (A.G., M.A.), University of Washington, Seattle, Washington
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Maryam Afkarian
Department of Pharmaceutics (M.V., B.P.) and Kidney Research Institute and Division of Nephrology, Department of Medicine (A.G., M.A.), University of Washington, Seattle, Washington
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Bhagwat Prasad
Department of Pharmaceutics (M.V., B.P.) and Kidney Research Institute and Division of Nephrology, Department of Medicine (A.G., M.A.), University of Washington, Seattle, Washington
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Abstract

The existing biobanks of remnant tissue from clinically indicated kidney biopsies are attractive potential reservoirs for quantification of clinically relevant human tissue proteins by quantitative proteomics. However, a significant caveat of this strategy is that the tissues are often preserved in optimal cutting temperature (OCT) medium. Although OCT is an effective method of preserving the morphologic and immunohistological characteristics of tissues for later study, it significantly impacts efforts to quantify protein expression by liquid chromatography–tandem mass spectrometry methods. We report here a simple, reproducible, and cost-effective procedure to extract proteins from OCT-embedded tissue samples. Briefly, the excess frozen OCT medium was scraped before thawing from the tissue specimens stored at –80°C for ∼3 months. The tissue samples were homogenized and diethyl ether/methanol extraction was performed to remove the remaining OCT medium. The recovered protein was denatured, reduced, and alkylated. The second step of protein extraction and desalting was performed by chloroform/methanol/water extraction of denatured proteins. The resultant protein pellet was trypsin-digested and the marker proteins of various kidney cellular compartments were quantified by targeted selective reaction monitoring proteomics. Upon comparison of peptide signals from OCT-embedded tissue and flash-frozen tissue from the same donors, both individual protein quantities, and their interindividual variabilities, were similar. Therefore, the approach reported here can be applied to clinical reservoirs of OCT-preserved kidney tissue to be used for quantitative proteomics studies of clinically relevant proteins expressed in different parts of the kidney (including drug transporters and metabolizing enzymes).

Footnotes

    • Received May 12, 2016.
    • Accepted July 29, 2016.
  • Dr. Afkarian’s effort was supported by the National Institutes of Health National Institute of Diabetes and Digestive and Kidney Disease [K23DK089017 and R01DK104706] and a Norman S. Coplon Extramural Grant from Satellite Healthcare. Dr. Prasad’s effort was funded by Department of Pharmaceutics, University of Washington, Seattle, WA.

  • dx.doi.org/10.1124/dmd.116.071522.

  • ↵Embedded ImageThis article has supplemental material available at dmd.aspetjournals.org.

  • Copyright © 2016 by The American Society for Pharmacology and Experimental Therapeutics
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Drug Metabolism and Disposition: 44 (10)
Drug Metabolism and Disposition
Vol. 44, Issue 10
1 Oct 2016
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Rapid CommunicationShort Communication

Proteomics Analysis of OCT-Embedded Tissue Samples

Marc Vrana, Anne Goodling, Maryam Afkarian and Bhagwat Prasad
Drug Metabolism and Disposition October 1, 2016, 44 (10) 1692-1696; DOI: https://doi.org/10.1124/dmd.116.071522

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Rapid CommunicationShort Communication

Proteomics Analysis of OCT-Embedded Tissue Samples

Marc Vrana, Anne Goodling, Maryam Afkarian and Bhagwat Prasad
Drug Metabolism and Disposition October 1, 2016, 44 (10) 1692-1696; DOI: https://doi.org/10.1124/dmd.116.071522
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