Analysis of the rat hypothalamus proteome by data‐independent label‐free LC‐MS/MS

Studies of neuronal, endocrine, and metabolic disorders would be facilitated by characterization of the hypothalamus proteome. Protein extracts prepared from 16 whole rat hypothalami were measured by data‐independent label‐free nano LC‐MS/MS. Peptide features were detected, aligned, and searched against a rat Swiss‐Prot database using ProteinLynx Global Server v.2.5. The final combined dataset comprised 21 455 peptides, corresponding to 622 unique proteins, each identified by a minimum of two distinct peptides. The majority of the proteins (69%) were cytosolic, and 16% were membrane proteins. Important proteins involved in neurological and synaptic function were identified including several members of the Ras‐related protein family and proteins involved in glutamate biosynthesis.     

LC‐MS/MS‐based serum proteomics for identification of candidate biomarkers for hepatocellular carcinoma

Associating changes in protein levels with the onset of cancer has been widely investigated to identify clinically relevant diagnostic biomarkers. In the present study, we analyzed sera from 205 patients recruited in the United States and Egypt for biomarker discovery using label‐free proteomic analysis by LC‐MS/MS. We performed untargeted proteomic analysis of sera to identify candidate proteins with statistically significant differences between hepatocellular carcinoma (HCC) and patients with liver cirrhosis. We further evaluated the significance of 101 proteins in sera from the same 205 patients through targeted quantitation by MRM on a triple quadrupole mass spectrometer. This led to the identification of 21 candidate protein biomarkers that were significantly altered in both the United States and Egyptian cohorts. Among the 21 candidates, ten were previously reported as HCC‐associated proteins (eight exhibiting consistent trends with our observation), whereas 11 are new candidates discovered by this study. Pathway analysis based on the significant proteins reveals upregulation of the complement and coagulation cascades pathway and downregulation of the antigen processing and presentation pathway in HCC cases versus patients with liver cirrhosis. The results of this study demonstrate the power of combining untargeted and targeted quantitation methods for a comprehensive serum proteomic analysis, to evaluate changes in protein levels and discover novel diagnostic biomarkers. All MS data have been deposited in the ProteomeXchange with identifier PXD001171 ( http://proteomecentral.proteomexchange.org/dataset/PXD001171 ).     

QCMAP: An Interactive Web‐Tool for Performance Diagnosis and Prediction of LC‐MS Systems

The increasing role played by liquid chromatography‐mass spectrometry (LC‐MS)‐based proteomics in biological discovery has led to a growing need for quality control (QC) on the LC‐MS systems. While numerous quality control tools have been developed to track the performance of LC‐MS systems based on a pre‐defined set of performance factors (e.g., mass error, retention time), the precise influence and contribution of the performance factors and their generalization property to different biological samples are not as well characterized. Here, a web‐based application (QCMAP) is developed for interactive diagnosis and prediction of the performance of LC‐MS systems across different biological sample types. Leveraging on a standardized HeLa cell sample run as QC within a multi‐user facility, predictive models are trained on a panel of commonly used performance factors to pinpoint the precise conditions to a (un)satisfactory performance in three LC‐MS systems. It is demonstrated that the learned model can be applied to predict LC‐MS system performance for brain samples generated from an independent study. By compiling these predictive models into our web‐application, QCMAP allows users to benchmark the performance of their LC‐MS systems using their own samples and identify key factors for instrument optimization. QCMAP is freely available from: http://shiny.maths.usyd.edu.au/QCMAP/ .     

LC‐MS/MS as an alternative for SDS‐PAGE in blue native analysis of protein complexes

Two‐dimensional blue native/SDS‐PAGE is widely applied to investigate native protein–protein interactions, particularly those within membrane multi‐protein complexes. MS has enabled the application of this approach at the proteome scale, typically by analysis of picked protein spots. Here, we investigated the potential of using LC‐MS/MS as an alternative for SDS‐PAGE in blue native (BN) analysis of protein complexes. By subjecting equal slices from BN gel lanes to label‐free semi‐quantitative LC‐MS/MS, we determined an abundance profile for each protein across the BN gel, and used these profiles to identify potentially interacting proteins by protein correlation profiling. We demonstrate the feasibility of this approach by considering the oxidative phosphorylation complexes I–V in the native human embryonic kidney 293 mitochondrial fraction, showing that the method is capable of detecting both the fully assembled complexes as well as assembly/turnover intermediates of complex I (NADH:ubiquinone oxidoreductase). Using protein correlation profiling with a profile for subunits NDUFS2, 3, 7 and 8 we identified multiple proteins possibly involved in the biogenesis of complex I, including the recently implicated chaperone C6ORF66 and a novel candidate, C3ORF60.     

iTRAQ‐coupled 2‐D LC‐MS/MS analysis of protein profile associated with HBV‐modulated DNA methylation

The development of hepatocellular carcinoma (HCC) is believed to be associated with multiple risk factors, including the infection of hepatitis B virus (HBV). Based on the analysis of individual genes, evidence has indicated the association between HCC and HBV and has also been expanded to epigenetic regulation, with an involvement of HBV in the DNA methylation of the promoter of cellular target genes leading to changes in their expression. Proteomic study has been widely used to map a comprehensive protein profile, which in turn could provide a better understanding of underlying mechanisms of disease onset. In the present study, we performed a proteomic profiling by using iTRAQ‐coupled 2‐D LC/MS‐MS analysis to identify cellular genes down‐regulated in HBV‐producing HepG2.2.15 cells compared with HepG2 cells. A total of 15 proteins including S100A6 and Annexin A2 were identified by our approach. The significance of these cellular proteins as target of HBV‐mediated epigenetic regulation was supported by our validation assays, including their reactivation in cells treated with 5‐aza‐2′‐deoxycytidine (a DNA methyltransferase inhibitor) by real‐time RT‐PCR and Western blot analysis, as well as the DNA methylation status analysis by bisulfite genome sequencing. Our approach provides a comprehensive analysis of cellular target proteins to HBV‐mediated epigenetic regulation and further analysis should facilitate a better understanding of its involvement in HCC development.     

GOAT – A simple LC‐MS/MS gradient optimization tool

Modern nano‐HPLC systems are capable of extremely precise control of solvent gradients, allowing high‐resolution separation of peptides. Most proteomics laboratories use a simple linear analytical gradient for nano‐LC‐MS/MS experiments, though recent evidence indicates that optimized non‐linear gradients result in increased peptide and protein identifications from cell lysates. In concurrent work, we examined non‐linear gradients for the analysis of samples fractionated at the peptide level, where the distribution of peptide retention times often varies by fraction. We hypothesized that greater coverage of these samples could be achieved using per‐fraction optimized gradients. We demonstrate that the optimized gradients improve the distribution of peptides throughout the analysis. Using previous generation MS instrumentation, a considerable gain in peptide and protein identifications can be realized. With current MS platforms that have faster electronics and achieve shorter duty cycle, the improvement in identifications is smaller. Our gradient optimization method has been implemented in a simple graphical tool (GOAT) that is MS‐vendor independent, does not require peptide ID input, and is freely available for non‐commercial use at http://proteomics.swmed.edu/goat/     

Stereoselective analysis of labetalol in human plasma by LC‐MS/MS: Application to pharmacokinetics

Labetalol is clinically available as a mixture of two racemates (four stereoisomers). The stereoisomer (R,R) has as main activity the β₁‐antagonism and the stereoisomer (S,R) is highly selective for the α₁ adrenoceptor and is responsible for most of the α‐blocker activity. In the present investigation, a method for the analysis of labetalol stereoisomers in human plasma was developed and applied to pharmacokinetic studies. Plasma samples (0.5 ml) were extracted with methyl tert‐butyl ether at pH 9.5. The four labetalol stereoisomers were analyzed by LC‐MS/MS on a Chirobiotic® V column using a mobile phase consisting of methanol, acetic acid, and diethylamine, with a recovery of more than 90% for all four. The quantitation limit was 0.5 ng/ml and linearity was observed at 250 ng/ml plasma for each stereoisomer. Studies of precision and accuracy presented coefficients of variation and percentage inaccuracy of less than 15%, indicating that the method is precise and accurate. The method was applied to the study of the kinetic disposition of labetalol over a period of 12 h after oral administration of a single 100 mg dose to a hypertensive pregnant woman. The clinical study revealed stereoselectivity in the pharmacokinetics of labetalol, with a lower plasma proportion for the active stereoisomers (R,R)‐labetalol and (S,R)‐labetalol. The stereoselectivity observed after oral administration is due to the hepatic metabolism and the first pass effect, with an AUC_(R,R)/AUC_(S,S) ratio of 0.5. Chirality, 2009. © 2008 Wiley‐Liss, Inc.     

Quantitative protein determination for CYP induction via LC-MS/MS

The Cytochrome P450 (CYP) proteins are a family of membrane bound proteins that function as a major metabolizing enzyme in the human body. Quantification of CYP induction is critical in determining the disposition, safety and efficacy of drugs in humans. Described is a gel-free, high-throughput LC-MS approach to quantitate the CYP isoforms 1A2, 2B6, 3A4 and 3A5 by measuring isoform specific peptides released by enzymatic digestion of the hepatocyte incubations. The method uses synthetic stable isotope-labeled peptides as internal standards and allows both relative and absolute quantification to be performed from hepatic microsomal preparations. CYP protein determined by this LC-MS method correlated well with the mRNA and activity for induced levels of CYP1A2, CYP2B6 and CYP3A4. Interestingly, a small fold change was observed for the induction of 3A5 with phenobarbital. The results were reproducible with an average CV less then 10% for repeat analysis of the sample. This LC-MS method offers a robust assay for CYP protein quantitation for use in CYP induction assays.     

Analysis of Oxcarbazepine and the 10‐Hydroxycarbazepine Enantiomers in Plasma by LC‐MS/MS: Application in a Pharmacokinetic Study

Oxcarbazepine is a second‐generation antiepileptic drug indicated as monotherapy or adjunctive therapy in the treatment of partial seizures or generalized tonic–clonic seizures in adults and children. It undergoes rapid presystemic reduction with formation of the active metabolite 10‐hydroxycarbazepine (MHD), which has a chiral center at position 10, with the enantiomers (S)‐(+)‐ and R‐(?)‐MHD showing similar antiepileptic effects. This study presents the development and validation of a method of sequential analysis of oxcarbazepine and MHD enantiomers in plasma using liquid chromatography with tandem mass spectrometry (LC‐MS/MS). Aliquots of 100 μL of plasma were extracted with a mixture of methyl tert‐butyl ether: dichloromethane (2:1). The separation of oxcarbazepine and the MHD enantiomers was obtained on a chiral phase Chiralcel OD‐H column, using a mixture of hexane:ethanol:isopropanol (80:15:5, v/v/v) as mobile phase at a flow rate of 1.3 mL/min with a split ratio of 1:5, and quantification was performed by LC‐MS/MS. The limit of quantification was 12.5 ng oxcarbazepine and 31.25 ng of each MHD enantiomer/mL of plasma. The method was applied in the study of kinetic disposition of oxcarbazepine and the MHD enantiomers in the steady state after oral administration of 300 mg/12 h oxcarbazepine in a healthy volunteer. The maximum plasma concentration of oxcarbazepine was 1.2 µg/mL at 0.75 h. The kinetic disposition of MHD is enantioselective, with a higher proportion of the S‐(+)‐MHD enantiomer compared to R‐(?)‐MHD and an AUC^0‐12 _{S‐(+)/R‐(?)} ratio of 5.44. Chirality 25:897–903, 2013. © 2013 Wiley Periodicals, Inc.     

EZYprep LC‐coupled MALDI‐TOF/TOF MS: An improved matrix spray application for phosphopeptide characterisation

The quality of MALDI‐TOF mass spectrometric analysis is highly dependent on the matrix and its deposition strategy. Although different matrix‐deposition methods have specific advantages, one major problem in the field of proteomics, particularly with respect to quantitation, is reproducibility between users or laboratories. Compounding this is the varying crystal homogeneity of matrices depending on the deposition strategy used. Here, we describe a novel optimised matrix‐deposition strategy for LC‐MALDI‐TOF/TOF MS using an automated instrument that produces a nebulised matrix “mist” under controlled atmospheric conditions. Comparisons of this with previously reported strategies showed the method to be advantageous for the atypical matrix, 2,5‐DHB, and improved phosphopeptide ionisation when compared with deposition strategies for CHCA. This optimised DHB matrix‐deposition strategy with LC‐MALDI‐TOF/TOF MS, termed EZYprep LC, was subsequently optimised for phosphoproteome analysis and compared to LC‐ESI‐IT‐MS and a previously reported approach for phosphotyrosine identification and characterisation. These methods were used to map phosphorylation on epidermal growth factor‐stimulated epidermal growth factor receptor to gauge the sensitivity of the proposed method. EZYprep DHB LC‐MALDI‐TOF/TOF MS was able to identify more phosphopeptides and characterise more phosphorylation sites than the other two proteomic strategies, thus proving to be a sensitive approach for phosphoproteome analysis.     

Discovery and identification of serum potential biomarkers for pulmonary tuberculosis using iTRAQ‐coupled two‐dimensional LC‐MS/MS

Pulmonary tuberculosis (TB) caused by Mycobacterium tuberculosis is a chronic disease. Currently, there are no sufficiently validated biomarkers for early diagnosis of TB infection. In this study, a panel of potential serum biomarkers was identified between patients with pulmonary TB and healthy controls by using iTRAQ‐coupled 2D LC‐MS/MS technique. Among 100 differentially expressed proteins screened, 45 proteins were upregulated (>1.25‐fold at p < 0.05) and 55 proteins were downregulated (<0.8‐fold at p < 0.05) in the TB serum. Bioinformatics analysis revealed that the differentially expressed proteins were related to the response to stimulus, the metabolic and immune system processes. The significantly differential expression of apolipoprotein CII (APOCII), CD5 antigen‐like (CD5L), hyaluronan‐binding protein 2 (HABP2), and retinol‐binding protein 4 (RBP4) was further confirmed using immunoblotting and ELISA analysis. By forward stepwise multivariate regression analysis, a panel of serum biomarkers including APOCII, CD5L, and RBP4 was obtained to form the disease diagnostic model. The receiver operation characteristic curve of the diagnostic model was 0.98 (sensitivity = 93.42%, specificity = 92.86%). In conclusion, APOCII, CD5L, HABP2, and RBP4 may be potential protein biomarkers of pulmonary TB. Our research provides useful data for early diagnosis of TB.     

Label‐free profiling of skeletal muscle using high‐definition mass spectrometry

We report automated and time‐efficient (2 h per sample) profiling of muscle using ultra‐performance LC coupled directly with high‐definition MS (HDMS^E). Soluble proteins extracted from rat gastrocnemius (n = 10) were digested with trypsin and analyzed in duplicate using a 90 min RPLC gradient. Protein identification and label‐free quantitation were performed from HDMS^E spectra analyzed using Progenesis QI for Proteomics software. In total 1514 proteins were identified. Of these, 811 had at least three unique peptides and were subsequently used to assess the dynamic range and precision of LC‐HDMS^E label‐free profiling. Proteins analyzed by LC‐HDMS^E encompass the entire complement of glycolytic, β‐oxidation, and tricarboxylic acid enzymes. In addition, numerous components of the electron transport chain and protein kinases involved in skeletal muscle regulation were detected. The dynamic range of protein abundances spanned four orders of magnitude. The correlation between technical replicates of the ten biological samples was R² = 0.9961 ± 0.0036 (95% CI = 0.9940 – 0.9992) and the technical CV averaged 7.3 ± 6.7% (95% CI = 6.87 – 7.79%). This represents the most sophisticated label‐free profiling of skeletal muscle to date.     

Stereoselective Determination of Metoprolol and its Metabolite α‐Hydroxymetoprolol in Plasma by LC‐MS/MS: Application to Pharmacokinetics during Pregnancy

Metoprolol is available for clinical use as a racemic mixture. The S‐(?)‐metoprolol enantiomer is the one expressing higher activity in the blockade of the β₁‐adrenergic receptor. The α‐hydroxymetoprolol metabolite also has activity in the blockade of the β₁‐adrenergic receptor. The present study describes the development and validation of a stereoselective method for sequential analysis of metoprolol and of α‐hydroxymetoprolol in plasma using high‐performance liquid chromatography with tandem mass spectrometry (LC‐MS/MS). 1‐ml aliquots of plasma were extracted with dichloromethane : diisopropyl ether (1:1, v/v). Metoprolol enantiomers and α‐hydroxymetoprolol isomers were separated on a Chiralpak AD column (Daicel Chemical Industries, New York, NY, USA) and quantitated by LC‐MS/MS. The limit of quantitation obtained was 0.2 ng of each metoprolol enantiomer/ml plasma and 0.1 ng/ml of each α‐hydroxymetoprolol isomer/ml plasma. The method was applied to the study of kinetic disposition of metoprolol in plasma samples collected up to 24 h after the administration of a single oral dose of 100‐mg metoprolol tartrate to a hypertensive parturient with a gestational age of 42 weeks. The clinical study showed that the metoprolol pharmakokinetics is enantioselective, with the observation of higher area under the curve (AUC)^0?∞ values for S‐(?)‐metoprolol (AUC_S‐(?)/AUC_R‐(+) = 1.81) and the favoring of the formation of the new chiral center 1′R of α‐hydroxymetoprolol (AUC^0?∞_1′R/1′S = 2.78). Chirality, 25:1–7, 2013. © 2012 Wiley Periodicals, Inc.     

Proteomic analysis of doxorubicin‐induced changes in the proteome of HepG2cells combining 2‐D DIGE and LC‐MS/MS approaches

HepG‐2 cells are widely used as a cell model to investigate hepatocellular carcinomas and the effect of anticancer drugs such as doxorubicin, an effective antineoplastic agent, which has broad antitumoral activity against many solid and hematological malignancies. To investigate the effect of doxorubicin on the protein pattern, we used complementary proteomic workflows including 2‐D gel‐based and gel‐free methods. The analysis of crude HepG2 cell extracts by 2‐D DIGE provided data on 1835 protein spots which was then complemented by MS‐centered analysis of stable isotope labeling by amino acids in cell culture‐labeled cells. The monitoring of more than 1300 distinct proteins, including proteins of the membrane fraction provides the most comprehensive overview on the proteome of the widely used model cell line HepG2. Of the proteins monitored in total, 155 displayed doxorubicin‐induced changes in abundance. Functional analysis revealed major influences of doxorubicin on proteins involved in protein synthesis, DNA damage control, electron transport/mitochondrial function, and tumor growth. The strongest decrease in level was found for proteins involved in DNA replication and protein synthesis, whereas proteins with a function in DNA damage control and oxidative stress management displayed increased levels following treatment with doxorubicin compared with control cells. Furthermore, the doxorubicin‐associated increase in levels of multiple forms of keratins 8, 18, and 19 and other structural proteins revealed an influence on the cytoskeleton network.     

Histone post‐translational modifications by HPLC‐ESI‐MS after HT29 cell treatment with histone deacetylase inhibitors

The goal of the present work is to establish a correlation between the degree of histone post‐translational modifications and the effects caused by treatment of HT29 colon cancer cells with class I‐selective (MS‐275 and MC1855), class II‐selective (MC1568), and non‐selective (suberoylanilide hydroxamic acid (SAHA) histone deacetylase inhibitors (HDACi). This correlation could afford a mean to better understand the mechanism of action of new, more potent, and selective HDACi directly on the cells. To this end, LC coupled to MS was applied in studies of time and concentration‐dependent treatment with HDACi in HT29 cells. The results were correlated to their potency of histone deacetylase inhibition and to their effects on the cell cycle. The results indicate that the four tested inhibitors show a different pattern of time‐ and concentration‐dependent modification after treatment of HT29 cells. At the selected concentrations, they cause different histone hyperacetylation and different cell cycle effects. In particular, SAHA (non‐selective HDACi) affected hyperacetylation of all histones and caused massive cell death. MC1855 (class I‐selective HDACi, hydroxamate) proved to be more potent and less toxic (cell arrest in G2/M phase) than SAHA. MS‐275 (class I‐selective HDACi, benzamide) exhibited a higher degree of hyperacetylation of H4 and a lower degree of H2A, H2B, and H3 acetylation, causing a cell arrest in G0/G1 phase. On the contrary, MC1568 (class II‐selective HDACi) produced only a modest hyperacetylation of H4, was ineffective on the other histones, and showed no effect on cell cycle in HT29 cells.