Reproducible Ion-Current-Based Approach for 24-Plex Comparison of the Tissue Proteomes of Hibernating versus Normal Myocardium in Swine Models

Hibernating myocardium is an adaptive response to repetitive myocardial ischemia that is clinically common, but the mechanism of adaptation is poorly understood. Here we compared the proteomes of hibernating versus normal myocardium in a porcine model with 24 biological replicates. Using the ion-current-based proteomic strategy optimized in this study to expand upon previous proteomic work, we identified differentially expressed proteins in new molecular pathways of cardiovascular interest. The methodological strategy includes efficient extraction with detergent cocktail; precipitation/digestion procedure with high, quantitative peptide recovery; reproducible nano-LC/MS analysis on a long, heated column packed with small particles; and quantification based on ion-current peak areas. Under the optimized conditions, high efficiency and reproducibility were achieved for each step, which enabled a reliable comparison of 24 the myocardial samples. To achieve confident discovery of differentially regulated proteins in hibernating myocardium, we used highly stringent criteria to define “quantifiable proteins”. These included the filtering criteria of low peptide FDR and S/N > 10 for peptide ion currents, and each protein was quantified independently from ≥2 distinct peptides. For a broad methodological validation, the quantitative results were compared with a parallel, well-validated 2D-DIGE analysis of the same model. Excellent agreement between the two orthogonal methods was observed (R = 0.74), and the ion-current-based method quantified almost one order of magnitude more proteins. In hibernating myocardium, 225 significantly altered proteins were discovered with a low false-discovery rate (∼3%). These proteins are involved in biological processes including metabolism, apoptosis, stress response, contraction, cytoskeleton, transcription, and translation. This provides compelling evidence that hibernating myocardium adapts to chronic ischemia. The major metabolic mechanisms include a down-regulation of mitochondrial respiration and an increase in glycolysis. Meanwhile, cardioprotective and cytoskeletal proteins are increased, while cardiomyocyte contractile proteins are reduced. These intrinsic adaptations to regional ischemia maintain long-term cardiomyocyte viability at the expense of contractile function.

[1]  Hongwei Li,et al.  Macrophage migration inhibitory factor in hypothalamic paraventricular nucleus neurons decreases blood pressure in spontaneously hypertensive rats , 2008, FASEB journal : official publication of the Federation of American Societies for Experimental Biology.

[2]  John R Yates,et al.  Mass spectrometry in high-throughput proteomics: ready for the big time , 2010, Nature Methods.

[3]  M. Ünlü,et al.  Difference gel electrophoresis. A single gel method for detecting changes in protein extracts , 1997, Electrophoresis.

[4]  E. Miller,et al.  Macrophage migration inhibitory factor provides cardioprotection during ischemia/reperfusion by reducing oxidative stress. , 2011, Antioxidants & redox signaling.

[5]  J. Samuel,et al.  Microtubules in cardiac myocytes. , 1988, International review of cytology.

[6]  C. Huber,et al.  High-performance liquid chromatography-electrospray ionization mass spectrometry using monolithic capillary columns for proteomic studies. , 2001, Analytical chemistry.

[7]  J. Canty,et al.  A straightforward and highly efficient precipitation/on-pellet digestion procedure coupled with a long gradient nano-LC separation and Orbitrap mass spectrometry for label-free expression profiling of the swine heart mitochondrial proteome. , 2009, Journal of proteome research.

[8]  M. Mann,et al.  Stable Isotope Labeling by Amino Acids in Cell Culture, SILAC, as a Simple and Accurate Approach to Expression Proteomics* , 2002, Molecular & Cellular Proteomics.

[9]  J. V. Van Eyk,et al.  Cardiac stem/progenitor cells, secreted proteins, and proteomics , 2009, FEBS letters.

[10]  S. Gill,et al.  Proteomic expression profiling of Haemophilus influenzae grown in pooled human sputum from adults with chronic obstructive pulmonary disease reveal antioxidant and stress responses , 2010, BMC Microbiology.

[11]  L. Leng,et al.  Cardiac macrophage migration inhibitory factor inhibits JNK pathway activation and injury during ischemia/reperfusion. , 2009, The Journal of clinical investigation.

[12]  J. Canty,et al.  Reductions in mitochondrial O(2) consumption and preservation of high-energy phosphate levels after simulated ischemia in chronic hibernating myocardium. , 2009, American journal of physiology. Heart and circulatory physiology.

[13]  Adam A. Margolin,et al.  Empirical Bayes Analysis of Quantitative Proteomics Experiments , 2009, PloS one.

[14]  J. Canty,et al.  Variability of contractile reserve in hibernating myocardium: dependence on the method of inotropic stimulation. , 2002, Cardiovascular research.

[15]  Jun Qu,et al.  Improved sensitivity for quantification of proteins using triply charged cleavable isotope-coded affinity tag peptides. , 2005, Rapid communications in mass spectrometry : RCM.

[16]  P. Razeghi,et al.  Return to the fetal gene program protects the stressed heart: a strong hypothesis , 2007, Heart Failure Reviews.

[17]  N. Karp,et al.  Experimental and Statistical Considerations to Avoid False Conclusions in Proteomics Studies Using Differential In-gel Electrophoresis*S , 2007, Molecular & Cellular Proteomics.

[18]  Antoine H P America,et al.  Comparative LC‐MS: A landscape of peaks and valleys , 2008, Proteomics.

[19]  A. P. Diz,et al.  Multiple hypothesis testing in proteomics: A strategy for experimental work. , 2010, Molecular & cellular proteomics : MCP.

[20]  Ronald J. Moore,et al.  Automated 20 kpsi RPLC-MS and MS/MS with chromatographic peak capacities of 1000-1500 and capabilities in proteomics and metabolomics. , 2005, Analytical chemistry.

[21]  H. Taegtmeyer,et al.  Metabolic reserve of the heart: the forgotten link between contraction and coronary flow. , 2008, Progress in cardiovascular diseases.

[22]  Jennifer E Van Eyk,et al.  Overview: The Maturing of Proteomics in Cardiovascular Research , 2011, Circulation research.

[23]  J. Chae,et al.  Involvement of GADD153 and Cardiac Ankyrin Repeat Protein in Hypoxia-induced Apoptosis of H9c2 Cells* , 2005, Journal of Biological Chemistry.

[24]  J. Canty,et al.  The physiological significance of a coronary stenosis differentially affects contractility and mitochondrial function in viable chronically dysfunctional myocardium , 2013, Basic Research in Cardiology.

[25]  G. Dorn,et al.  The role of the cytoskeleton in left ventricular pressure overload hypertrophy and failure. , 1996, Journal of molecular and cellular cardiology.

[26]  J. Schaper,et al.  The role of the cytoskeleton in heart failure. , 2000, Cardiovascular research.

[27]  Forest M White,et al.  The Potential Cost of High-Throughput Proteomics , 2011, Science Signaling.

[28]  S. Gygi,et al.  Quantitative analysis of complex protein mixtures using isotope-coded affinity tags , 1999, Nature Biotechnology.

[29]  J. Canty,et al.  18F-2-deoxyglucose deposition and regional flow in pigs with chronically dysfunctional myocardium. Evidence for transmural variations in chronic hibernating myocardium. , 1997, Circulation.

[30]  Setsuo Hirohashi,et al.  Label-free Quantitative Proteomics Using Large Peptide Data Sets Generated by Nanoflow Liquid Chromatography and Mass Spectrometry* , 2006, Molecular & Cellular Proteomics.

[31]  N. Dhalla,et al.  Subcellular remodelling may induce cardiac dysfunction in congestive heart failure. , 2008, Cardiovascular research.

[32]  H. Bøtker,et al.  Energy stores and metabolites in chronic reversibly and irreversibly dysfunctional myocardium in humans. , 2001, Journal of the American College of Cardiology.

[33]  Kathryn S Lilley,et al.  Two-dimensional gel electrophoresis: recent advances in sample preparation, detection and quantitation. , 2002, Current opinion in chemical biology.

[34]  H. Ditzel,et al.  Plasma Membrane Proteomics and Its Application in Clinical Cancer Biomarker Discovery* , 2010, Molecular & Cellular Proteomics.

[35]  H. Nothwang,et al.  Aqueous polymer two‐phase systems: Effective tools for plasma membrane proteomics , 2006, Proteomics.

[36]  Michael D. Schneider,et al.  Suppression of canonical Wnt/beta-catenin signaling by nuclear plakoglobin recapitulates phenotype of arrhythmogenic right ventricular cardiomyopathy. , 2006, The Journal of clinical investigation.

[37]  R. Zubarev,et al.  Calibration function for the orbitrap FTMS accounting for the space charge effect , 2010, Journal of the American Society for Mass Spectrometry.

[38]  J. Canty,et al.  Persistent Regional Downregulation in Mitochondrial Enzymes and Upregulation of Stress Proteins in Swine With Chronic Hibernating Myocardium , 2008, Circulation research.

[39]  J. Canty,et al.  Hibernating Myocardium Retains Metabolic and Contractile Reserve Despite Regional Reductions in Flow, Function, and Oxygen Consumption at Rest , 2003, Circulation research.

[40]  Ying Ge,et al.  Top-down quantitative proteomics identified phosphorylation of cardiac troponin I as a candidate biomarker for chronic heart failure. , 2011, Journal of proteome research.

[41]  S. Carr,et al.  Protein quantitation through targeted mass spectrometry: the way out of biomarker purgatory? , 2008, Clinical chemistry.

[42]  Fernando M. Maroto,et al.  ChromAlign: A two-step algorithmic procedure for time alignment of three-dimensional LC-MS chromatographic surfaces. , 2006, Analytical chemistry.

[43]  Ying Ge,et al.  Comprehensive Analysis of Protein Modifications by Top-Down Mass Spectrometry , 2011, Circulation. Cardiovascular genetics.

[44]  J. Canty,et al.  Profound apoptosis-mediated regional myocyte loss and compensatory hypertrophy in pigs with hibernating myocardium. , 1999, Circulation.

[45]  A. Makarov,et al.  Performance evaluation of a hybrid linear ion trap/orbitrap mass spectrometer. , 2006, Analytical chemistry.

[46]  William J Jusko,et al.  Utility of cleavable isotope-coded affinity-tagged reagents for quantification of low-copy proteins induced by methylprednisolone using liquid chromatography/tandem mass spectrometry. , 2006, Analytical chemistry.

[47]  H. V. van Beusekom,et al.  Mitochondrial adaptations within chronically ischemic swine myocardium. , 2006, Journal of molecular and cellular cardiology.

[48]  S. Vatner,et al.  Persistent Stunning Induces Myocardial Hibernation and Protection: Flow/Function and Metabolic Mechanisms , 2003, Circulation research.

[49]  E. White Mechanical modulation of cardiac microtubules , 2011, Pflügers Archiv - European Journal of Physiology.

[50]  T. Colgan,et al.  Search for cancer markers from endometrial tissues using differentially labeled tags iTRAQ and cICAT with multidimensional liquid chromatography and tandem mass spectrometry. , 2005, Journal of proteome research.

[51]  P. F. F. G. R. Heyndrickx M.D. Hibernating myocardium , 2004, Basic Research in Cardiology.

[52]  J. Fallavollita Spatial heterogeneity in fasting and insulin-stimulated (18)F-2-deoxyglucose uptake in pigs with hibernating myocardium. , 2000, Circulation.

[53]  E. Diamandis,et al.  Cancer biomarkers: can we turn recent failures into success? , 2010, Journal of the National Cancer Institute.

[54]  Joseph P Balthasar,et al.  Nano-scale liquid chromatography/mass spectrometry and on-the-fly orthogonal array optimization for quantification of therapeutic monoclonal antibodies and the application in preclinical analysis. , 2012, Journal of chromatography. A.

[55]  Jianyi(Jay) Zhang,et al.  The energetic state within hibernating myocardium is normal during dobutamine despite inhibition of ATP-dependent potassium channel opening with glibenclamide. , 2007, American journal of physiology. Heart and circulatory physiology.

[56]  J. Canty,et al.  Combinatorial peptide ligand library treatment followed by a dual-enzyme, dual-activation approach on a nanoflow liquid chromatography/orbitrap/electron transfer dissociation system for comprehensive analysis of swine plasma proteome. , 2011, Analytical chemistry.

[57]  Xinli Hu,et al.  Microtubule Actin Cross-Linking Factor 1 Regulates Cardiomyocyte Microtubule Distribution and Adaptation to Hemodynamic Overload , 2013, American journal of physiology. Heart and circulatory physiology.

[58]  Qingge Xu,et al.  Phosphorylation, but not alternative splicing or proteolytic degradation, is conserved in human and mouse cardiac troponin T. , 2011, Biochemistry.

[59]  F. Engler,et al.  Electron transfer dissociation coupled to an Orbitrap analyzer may promise a straightforward and accurate sequencing of disulfide-bridged cyclic peptides: a case study. , 2010, Journal of mass spectrometry : JMS.

[60]  L. Leng,et al.  Macrophage migration inhibitory factor stimulates AMP-activated protein kinase in the ischaemic heart , 2008, Nature.

[61]  Steven A Carr,et al.  Protein biomarker discovery and validation: the long and uncertain path to clinical utility , 2006, Nature Biotechnology.

[62]  J. Canty,et al.  Myocardial perfusion and contraction in acute ischemia and chronic ischemic heart disease. , 2012, Journal of molecular and cellular cardiology.

[63]  Chengjian Tu,et al.  Ion-current-based Proteomic Profiling of the Retina in a Rat Model of Smith-Lemli-Opitz Syndrome* , 2013, Molecular & Cellular Proteomics.

[64]  L. Bindoff Mitochondria and the heart. , 2003, European heart journal.

[65]  B. Fakler,et al.  Extending the Dynamic Range of Label-free Mass Spectrometric Quantification of Affinity Purifications* , 2011, Molecular & Cellular Proteomics.

[66]  Lee H. Dicker,et al.  Increased Power for the Analysis of Label-free LC-MS/MS Proteomics Data by Combining Spectral Counts and Peptide Peak Attributes* , 2010, Molecular & Cellular Proteomics.

[67]  W. Sluiter,et al.  Hibernating myocardium: is the program to survive a pathway to failure? , 2008, Circulation research.

[68]  R. Lamont,et al.  Quantitative proteomics of intracellular Porphyromonas gingivalis , 2007, Proteomics.

[69]  Chengjian Tu,et al.  An ion-current-based, comprehensive and reproducible proteomic strategy for comparative characterization of the cellular responses to novel anti-cancer agents in a prostate cell model. , 2012, Journal of proteomics.

[70]  J. Koziol,et al.  Label-free, normalized quantification of complex mass spectrometry data for proteomics analysis , 2009, Nature Biotechnology.

[71]  Ruedi Aebersold,et al.  Options and considerations when selecting a quantitative proteomics strategy , 2010, Nature Biotechnology.

[72]  Guanghui Wang,et al.  Label-free protein quantification using LC-coupled ion trap or FT mass spectrometry: Reproducibility, linearity, and application with complex proteomes. , 2006, Journal of proteome research.

[73]  R. Kelly,et al.  Continued depression of maximal oxygen consumption and mitochondrial proteomic expression despite successful coronary artery bypass grafting in a swine model of hibernation. , 2011, The Journal of thoracic and cardiovascular surgery.

[74]  H. Ward,et al.  Regional glucose uptake within hypoperfused swine myocardium as measured by positron emission tomography. , 1997, The American journal of physiology.

[75]  J. V. Van Eyk,et al.  Divide and Conquer: The Application of Organelle Proteomics to Heart Failure , 2011, Circulation research.

[76]  V. Mootha,et al.  The mitochondrial proteome and human disease. , 2010, Annual review of genomics and human genetics.