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Research ArticleArticle

Global Proteomic Analysis of Human Liver Microsomes: Rapid Characterization and Quantification of Hepatic Drug-Metabolizing Enzymes

Brahim Achour, Hajar Al Feteisi, Francesco Lanucara, Amin Rostami-Hodjegan and Jill Barber
Drug Metabolism and Disposition June 2017, 45 (6) 666-675; DOI: https://doi.org/10.1124/dmd.116.074732
Brahim Achour
Centre for Applied Pharmacokinetic Research, Division of Pharmacy and Optometry, School of Health Sciences, University of Manchester, Manchester (B.A., H.A.F., A.R.-H., J.B.), Waters Corporation, Wilmslow, Cheshire East (F.L.), and Simcyp Limited (a Certara Company), Blades Enterprise Centre, Sheffield (A.R.-H.), United Kingdom
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Hajar Al Feteisi
Centre for Applied Pharmacokinetic Research, Division of Pharmacy and Optometry, School of Health Sciences, University of Manchester, Manchester (B.A., H.A.F., A.R.-H., J.B.), Waters Corporation, Wilmslow, Cheshire East (F.L.), and Simcyp Limited (a Certara Company), Blades Enterprise Centre, Sheffield (A.R.-H.), United Kingdom
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Francesco Lanucara
Centre for Applied Pharmacokinetic Research, Division of Pharmacy and Optometry, School of Health Sciences, University of Manchester, Manchester (B.A., H.A.F., A.R.-H., J.B.), Waters Corporation, Wilmslow, Cheshire East (F.L.), and Simcyp Limited (a Certara Company), Blades Enterprise Centre, Sheffield (A.R.-H.), United Kingdom
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Amin Rostami-Hodjegan
Centre for Applied Pharmacokinetic Research, Division of Pharmacy and Optometry, School of Health Sciences, University of Manchester, Manchester (B.A., H.A.F., A.R.-H., J.B.), Waters Corporation, Wilmslow, Cheshire East (F.L.), and Simcyp Limited (a Certara Company), Blades Enterprise Centre, Sheffield (A.R.-H.), United Kingdom
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Jill Barber
Centre for Applied Pharmacokinetic Research, Division of Pharmacy and Optometry, School of Health Sciences, University of Manchester, Manchester (B.A., H.A.F., A.R.-H., J.B.), Waters Corporation, Wilmslow, Cheshire East (F.L.), and Simcyp Limited (a Certara Company), Blades Enterprise Centre, Sheffield (A.R.-H.), United Kingdom
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Figures

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  • Fig. 1.
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    Fig. 1.

    Proteomic analysis of microsomal subproteome in the HLM samples showing the total number of identified and quantified proteins in the fraction the number of all drug-metabolizing enzymes (DME), drug-metabolizing cytochrome P450 enzymes (CYP450), and drug-metabolizing UGT enzymes (UGT) (B); Spearman correlation with linear regression of measurements of drug-metabolizing P450 and UGT enzymes using the label-free method described in this article and measurements of the same enzymes in three of the analyzed samples using the QconCAT targeted method (C); fold difference in abundance of enzymes of label-free measurements (method 1) in each sample relative to QconCAT measurements (method 2) expressed as a ratio ([ x1,i / x2,i] for enzyme i), with all pairs of measurements within approximately 2.5-fold (gray box) (D). Average fold error (AFE) is a measure of bias in the data, whereas absolute average fold error (AAFE) is a measure of scatter or spread of measurements; the closer these two measures are to 1, the lower the bias and scatter in measurement. Limited bias was seen in the two methods with a level of spread in the data (see Supplemental Table 3). (C) Abundances are expressed in units of pmol mg−1 HLM protein.

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    Fig. 2.

    Patterns of expression of DMEs in liver samples: cytochrome P450 enzyme abundances compared with literature values (A), UGT abundances compared with literature values (B), patterns of expression of quantified DMEs in the HLM samples (C), and heat map of the expressed P450 and UGT enzymes with samples classed using rank-order clustering (D). (A and B) Gray highlights indicate literature-derived ranges, bars indicate literature means and scatter points indicate experimentally derived values in this study. (C) BLQ is assigned for values below the limit of quantification. (D) The abundance values are normal log modified. Abundances are expressed in units of pmol mg−1 HLM protein

  • Fig. 3.
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    Fig. 3.

    The abundance of specific membrane markers of hepatocytes (asialoglycoprotein receptor 1, ASGR1), endoplasmic reticulum (calnexin), plasma membrane (ATP1A1, CD81), mitochondria (COX4), and peroxisomes (PEX14) (A), subcellular localization of all identified proteins (B), and drug-metabolizing enzymes (C) in analyzed samples, providing an indication of the presence of membrane fractions from these organelles in HLMs. (A) Abundances are expressed in units of pmol mg−1 HLM protein. (B and C) Percentages represent the proportions of proteins identified in each subcellular location to the total number of identified proteins, the sum of which adds up to more than 100% as a result of overlap in the localization of protein expression as shown in the Supplemental Material.

  • Fig. 4.
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    Fig. 4.

    Contribution of the 10 most abundant proteins to total HLM protein mass from four human livers (A) and simulated effect of variability of the top 10 proteins in HLM samples on CYP3A4 abundance in 2000 human livers (B). When the amount of CYP3A4 within tissue in simulated livers is kept constant, the abundance of CYP3A4 changes on average 1.4- to 1.7-fold, representing the effect of overall random variability in the most abundant proteins. Simulations were based on data obtained from this experimental study and a meta-analysis of available literature. (B) Abundances are expressed in units of pmol mg−1 HLM protein.

Tables

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    TABLE 1

    Demographic and clinical details of the individual liver donors of samples used in this study

    The final column shows the suppliers of samples. HLM samples were prepared by the suppliers using differential centrifugation of hepatic tissue homogenates.

    Patient SampleAge (yr)EthnicityGenderCause of DeathSmokingAlcohol UseMedical HistoryMedicationSupplier
    HLM0131CFMotor vehicle accidentYesNoNoneNoneBD Gentest
    HLM0262CFHead traumaNoNoHypertensionHypertension medicationsBD Gentest
    HLM0341HFCVANoOccasionalHypertension,mild strokeAtenolol, dobutamine, morphine, NuprinBD Gentest
    HLM0450CMCVANoNoHealthyNoneVitron
    • C, Caucasian; CVA, cerebrovascular aneurysm; H, Hispanic; F, Female; M, male.

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    TABLE 2

    Rank orders, abundance levels, and primary subcellular localization of the 10 most abundant proteins in the analyzed HLM samples and those of drug-metabolizing cytochrome P450 enzymes

    Overall RankProtein (Gene Name)Overall AbundanceHLM01HLM02HLM03HLM04
    Mean ± S.D.a [pmol mg−1]Mean ± S.D.b [pmol mg−1]Mean ± S.D.b [pmol mg−1]Mean ± S.D.b [pmol mg−1]Mean ± S.D. b [pmol mg−1]
    (Rank)(Rank)(Rank)(Rank)
    Top 10 HLM proteins1Liver carboxylesterase 1c403.14 ± 92.8485.94 ± 24.31 (1)396.81 ± 31.63 (1)275.38 ± 13.45 (5)454.42 ± 19.15 (1)
    2Cytoplasmic actin 1 (ACTB)d316.94 ± 74.63325.51 ± 50.06 (8)363.32 ± 21.94 (2)370.02 ± 24.37 (2)208.93 ± 23.54 (10)
    3Protein disulfide isomerase (P4HB)c304.25 ± 101.48415.74 ± 12.23 (3)324.86 ± 18.57 (3)169.96 ± 4.02 (9)306.44 ± 12.18 (2)
    478-kDa glucose-regulated protein (HSPA5)c284.23 ± 62.67352.90 ± 10.52 (6)284.86 ± 24.83 (5)201.29 ± 2.06 (8)297.86 ± 10.86 (3)
    5ATP synthase subunit β (ATP5B)e264.10 ± 96.66140.23 ± 1.59 (24)270.66 ± 25.62 (6)376.41 ± 19.64 (1)269.09 ± 2.31 (5)
    6Protein disulfide isomerase A3 (PDIA3)c262.73 ± 108.03387.29 ± 12.61 (4)252.14 ± 17.28 (7)127.46 ± 2.23 (27)286.05 ± 12.36 (4)
    7Calreticulin (CALR)c257.40 ± 86.90372.06 ± 7.27 (5)223.98 ± 36.44 (10)166.32 ± 13.55 (11)267.26 ± 4.77 (6)
    8Haptoglobin (HP)f253.47 ± 155.76457.21 ± 34.92 (2)292.00 ± 22.60 (4)117.54 ± 10.34 (30)147.11 ± 1.66 (21)
    9Endoplasmin (HSP90B1)c243.64 ± 78.95335.09 ± 9.03 (7)231.93 ± 17.82 (9)144.52 ± 15.96 (14)263.01 ± 6.13 (7)
    10Cytochrome b5 (CYB5A)c226.79 ± 18.36251.61 ± 26.34 (11)209.61 ± 15.40 (12)217.01 ± 7.03 (6)228.93 ± 36.13 (8)
    Drug-metabolizing P450 enzymesc44CYP3A480.87 ± 58.48126.83 ± 4.43 (26)134.71 ± 13.65 (26)19.32 ± 1.63 (231)42.64 ± 1.02 (122)
    53CYP2E176.28 ± 14.7873.50 ± 6.23 (57)74.36 ± 8.85 (65)60.84 ± 6.38 (78)96.43 ± 13.80 (34)
    101CYP2C950.37 ± 30.6394.26 ± 13.22 (43)29.89 ± 0.73 (192)28.82 ± 0.40 (171)48.49 ± 2.83 (106)
    108CYP4F48.31 ± 19.9628.37 ± 2.56 (165)68.91 ± 8.19 (70)34.32 ± 1.79 (142)61.63 ± 2.33 (80)
    109CYP2A648.11 ± 43.44108.60 ± 13.01 (36)38.44 ± 3.53 (147)5.11 ± 0.57 (597)40.30 ± 1.37 (127)
    180CYP3A531.07 ± 9.6837.92 ± 4.13 (117)24.22 ± 1.54 (231)——
    186CYP1A230.44 ± 7.1924.25 ± 2.59 (184)28.72 ± 2.81 (196)—38.33 ± 5.88 (134)
    201CYP2C827.57 ± 25.4264.37 ± 3.03 (66)23.22 ± 1.72 (244)6.92 ± 0.77 (516)15.78 ± 1.25 (296)
    262CYP2B620.98 ± 1.2220.98 ± 1.22 (225)———
    425CYP2D612.45 ± 4.8410.74 ± 1.07 (372)8.70 ± 1.72 (538)17.91 ± 1.79 (245)—
    560CYP3A79.21 ± 0.629.21 ± 0.62 (413)———
    815CYP2C195.47 ± 0.695.96 ± 0.17 (542)——4.98 ± 0.76 (604)
    1066CYP3A431.06 ± 0.400.66 ± 0.11 (711)1.20 ± 0.12 (814)1.04 ± 0.11 (706)1.46 ± 0.05 (707)
    51NADPH cytochrome P450 reductase (POR)c77.95 ± 19.1885.88 ± 3.27 (53)100.12 ± 5.52 (35)55.97 ± 8.61 (87)69.85 ± 3.27 (62)
    • ↵a S.D. representing combined biologic and technical variability.

    • ↵b S.D. representing technical variability.

    • ↵c Subcellular localization: endoplasmic reticulum.

    • ↵d Subcellular localization: cytoplasm.

    • ↵e Subcellular localization: mitochondria.

    • ↵f Subcellular localization: secreted.

    • ↵— Not quantifiable.

Additional Files

  • Figures
  • Tables
  • Data Supplement

    Files in this Data Supplement:

    • Supplemental Data -

      Supplemental Methods

      Supplemental Table 1 - An outline of the methodological steps constituting the quantitative proteomic workflows specific to each methodology used for quantitative analysis

      Supplemental Figure 1 - Experimental workflow used in the label-free proteomic analysis of HLM samples

      Supplemental Figure 2 - Protein concentration in HLM samples (A), and the amount of protein digested compared to the amount of peptide recovered for LC-IMS-MS/MS analysis (B)

      Results

      Supplemental Figure 3 - Linear regression analysis of protein abundances measured using myoglobin as a standard...

      Supplemental Table 2 - Appraisal of the protein standards used for the label-free quantitative analysis

      Supplemental Table 3 - The precision (%CV) of label-free measurements, their relative error (%RE) compared to QconCAT measurements and differences between the two sets of measurements

      Supplemental Figure 4 - Venn diagrams showing the overlap between all quantified human liver microsomal proteins...

      Supplemental Figure 5 - Venn diagrams of the subcellular localization of all proteins...

      Supplemental Figure 6 - Results of ion mobility spectrometry (IMS) in sample HLM01 illustrating effective separation of peptide ions in the mobility domain...

      References

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Drug Metabolism and Disposition: 45 (6)
Drug Metabolism and Disposition
Vol. 45, Issue 6
1 Jun 2017
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Research ArticleArticle

Global Analysis of Human Liver Microsomal Subproteome

Brahim Achour, Hajar Al Feteisi, Francesco Lanucara, Amin Rostami-Hodjegan and Jill Barber
Drug Metabolism and Disposition June 1, 2017, 45 (6) 666-675; DOI: https://doi.org/10.1124/dmd.116.074732

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Research ArticleArticle

Global Analysis of Human Liver Microsomal Subproteome

Brahim Achour, Hajar Al Feteisi, Francesco Lanucara, Amin Rostami-Hodjegan and Jill Barber
Drug Metabolism and Disposition June 1, 2017, 45 (6) 666-675; DOI: https://doi.org/10.1124/dmd.116.074732
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