Combined Liquid Chromatography–Tandem Mass Spectrometry Analysis of Progesterone Metabolites

Progesterone has a number of important functions throughout the human body. While the roles of progesterone are well known, the possible actions and implications of progesterone metabolites in different tissues remain to be determined. There is a growing body of evidence that these metabolites are not inactive, but can have significant biological effects, as anesthetics, anxiolytics and anticonvulsants. Furthermore, they can facilitate synthesis of myelin components in the peripheral nervous system, have effects on human pregnancy and onset of labour, and have a neuroprotective role. For a better understanding of the functions of progesterone metabolites, improved analytical methods are essential. We have developed a combined liquid chromatography—tandem mass spectrometry (LC-MS/MS) method for detection and quantification of progesterone and 16 progesterone metabolites that has femtomolar sensitivity and good reproducibility in a single chromatographic run. MS/MS analyses were performed in positive mode and under constant electrospray ionization conditions. To increase the sensitivity, all of the transitions were recorded using the Scheduled MRM algorithm. This LC-MS/MS method requires small sample volumes and minimal sample preparation, and there is no need for derivatization. Here, we show the application of this method for evaluation of progesterone metabolism in the HES endometrial cell line. In HES cells, the metabolism of progesterone proceeds mainly to (20S)-20-hydroxy-pregn-4-ene-3-one, (20S)-20-hydroxy-5α-pregnane-3-one and (20S)-5α-pregnane-3α,20-diol. The investigation of possible biological effects of these metabolites on the endometrium is currently undergoing.     

Comparing and Combining Capillary Electrophoresis Electrospray Ionization Mass Spectrometry and Nano–Liquid Chromatography Electrospray Ionization Mass Spectrometry for the Characterization of Post-translationally Modified Histones

We present the first comprehensive capillary electrophoresis electrospray ionization mass spectrometry (CESI-MS) analysis of post-translational modifications derived from H1 and core histones. Using a capillary electrophoresis system equipped with a sheathless high-sensitivity porous sprayer and nano–liquid chromatography electrospray ionization mass spectrometry (nano-LC-ESI-MS) as two complementary techniques, we characterized H1 histones isolated from rat testis. Without any pre-separation of the perchloric acid extraction, a total of 70 different modified peptides, including 50 phosphopeptides, were identified in the rat linker histones H1.0, H1a-H1e, and H1t. Out of the 70 modified H1 histone peptides, 27 peptides could be identified with CESI-MS only, and 11 solely with LC-ESI-MS. Immobilized metal-affinity chromatography enrichment prior to MS analysis yielded a total of 55 phosphopeptides; 22 of these peptides could be identified only by CESI-MS, and 19 only by LC-ESI-MS, showing the complementarity of the two techniques. We mapped 42 H1 modification sites, including 31 phosphorylation sites, of which 8 were novel sites. For the analysis of core histones, we chose a different strategy. In a first step, the sulfuric-acid-extracted core histones were pre-separated using reverse-phase high-performance liquid chromatography. Individual rat testis core histone fractions obtained in this way were digested and analyzed via bottom-up CESI-MS. This approach yielded the identification of 42 different modification sites including acetylation (lysine and N^α-terminal); mono-, di-, and trimethylation; and phosphorylation. When we applied CESI-MS for the analysis of intact core histone subtypes from butyrate-treated mouse tumor cells, we were able to rapidly detect their degree of modification, and we found this method very useful for the separation of isobaric trimethyl and acetyl modifications. Taken together, our results highlight the need for additional techniques for the comprehensive analysis of post-translational modifications. CESI-MS is a promising new proteomics tool as demonstrated by this, the first comprehensive analysis of histone modifications, using rat testis as an example.Histones are the most intensively studied group of basic nuclear proteins and are of great importance with regard to the organization of chromatin structure and control of gene activity. They are highly conserved during evolution, binding to and condensing eukaryotic chromosomal DNA to form chromatin. The fundamental chromatin subunit is the nucleosome, in which 166 bp of DNA are wrapped around a core histone octamer and a further ∼40 bp constitute the linker between one nucleosome core and the next. The histone octamer contains two molecules of each of the core histones H2A, H2B, H3, and H4. A fifth type of histone, referred to as linker histone (H1, H5), binds to both the DNA on the outer surface of nucleosomes and the linker DNA.There are numerous microsequence variants of linker and core histones (except H4) differing only slightly in primary sequence. In rat testis, for example, six somatic H1 subtypes, designated as H1a, H1b, H1c, H1d, H1e, and H1.0, as well as germ cell specific subtypes (i.e. H1t, H1T2, and HILS1), have been identified (1–3). Under various biological conditions, all histone proteins, for both linker and core histones, are subjected to post-translational modifications, including phosphorylation, acetylation, methylation, ubiquitination, deamidation, glycosylation, and ADP-ribosylation, which have a great influence on the epigenetic control of gene expression (4–6). The multitude of histone proteins resulting from closely related sequence variants and post-translational modifications, as well as their highly basic nature combined with hydrophobic properties, provides a major analytical challenge in current proteomics research. Over the past several years, considerable efforts have been expended to develop methods to identify the specific sites of histone modifications. Mass spectrometry (MS) coupled to liquid chromatography (LC) is the dominant technique for their characterization (7–14). However, because histone proteins contain up to nearly 35% basic amino acids, the analysis of histone peptides is still problematic, as digestion with many commonly used enzymes (e.g. trypsin, Lys-C, etc.) causes the formation of many short and polar peptides that poorly interact with the reverse-phase (RP)¹ material and go undetected by conventional liquid chromatography electrospray ionization mass spectrometry (LC-ESI-MS). To overcome this problem, chemical derivatization such as propionylation is often applied (15, 16).Capillary electrophoresis (CE) overcomes this disadvantage; this technique allows separations based on the mass-to-charge ratio of peptides and does not utilize their hydrophobic nature as a separation principle. The methods of electrophoresis and LC and their applicability for histone analysis have been reviewed in detail by Lindner (17). CE has proven to be a remarkably powerful method for separating individual histones and their modified forms based on their different electrophoretic mobilities. Using a bare fused silica capillary and hydroxypropylmethyl cellulose (HPMC) as a buffer additive in order to avoid undesired protein adsorption, different core and linker histones and their multiply phosphorylated and acetylated forms were successfully separated via capillary zone electrophoresis (CZE) (18–22). So far, no data have been published about the identification of histone modifications by means of capillary electrophoresis electrospray ionization mass spectrometry (CESI-MS). LC is given preference over CE because of the difficulty of achieving on-line interfacing of CE with MS that allows stable electrospray processes without compromising the quality of separation or the detection sensitivity. However, CE-MS is a promising technique with constantly increasing importance, as documented by numerous articles (23–26).Various interfaces have been constructed to improve CESI-MS coupling (27, 28). Sheathflow interfaces are the most widely used, and although the drawback of having to dilute the analyte is inherent in this kind of interface, they offer stable electrophoretic separations and allow greater versatility in the choice of background electrolyte (BGE) and the range of flow rates (29–32). Sheathless interfaces have generated interest because no sheath liquid is added, which leads to enhanced detection sensitivity (33, 34). However, they have not been used frequently because of their limited robustness and lack of well-established interfaces and routine analysis protocols. The most widely used method for establishing the terminating electrical contact is coating the outer surface of the CE capillary tip with a conductive material (35–37). Unfortunately, the lifetimes of such coatings are generally very limited, as they suffer from deterioration under the influence of the high voltages applied.A recently published concept of a sheathless interface based on a separation capillary with a porous tip acting as a nanospray emitter overcomes these disadvantages (38). The capillary tip is etched using hydrofluoric acid until the capillary wall becomes so thin and porous that an electric contact can be established. The performance of this methodology, which combines the low-flow characteristics of CE with an integrated ESI source, is described in Refs. 39–41. Applications such as the analysis of intact proteins (42), protein–protein and protein–metal complexes (43), and ribosomal protein digests from E. coli (44) have been published. Method-inherent advantages of CESI-MS are highly efficient separations, low flow rates leading to reduced ion suppression, and greater sensitivity (40). In contrast to nano-LC, no column equilibration is needed, there are no gradient effects, and the instrumentation is less maintenance-intensive.Our group recently described important features of CESI-MS and reported the comparison of this method with LC-ESI-MS for the analysis of a 5% perchloric acid extraction of rat testis consisting mainly of different histone H1 subtypes (39). The performance of both techniques was evaluated regarding analysis time, protein sequence coverage, and number and molecular mass distribution of the identified peptides. The CESI-MS method provided shorter analysis times, narrower peaks yielding high signals, and the identification of a greater number of low molecular mass range peptides than LC-ESI-MS (39).In the current study, we investigated the analysis of post-translationally modified peptides, particularly phosphopeptides, obtained from endoproteinase Arg-C digested histones from rat testis; this organ contains the whole set of somatic and germ cell specific H1 histones, as well as numerous modified core histone proteins. CESI-MS and LC-ESI-MS were compared regarding the number and type of identified modified peptides. Without any pre-separation of the perchloric acid extraction, we found numerous known and novel modification sites in linker histones. In addition, immobilized metal-affinity chromatography (IMAC) experiments were utilized to enrich phosphopeptides prior to MS analysis. CESI-MS was also used for the rapid identification of post-translational modifications (PTMs) of rat testis core histones, which were pre-fractionated via RP-HPLC and digested with Arg-C. Using core histones from butyrate-treated mouse erythroleukemia cells, we further demonstrated that our method achieves excellent separations of intact histone subtypes and their multiply modified forms and enables the detection of the extent of PTMs in a fast and reproducible way. Our work represents the first detailed characterization of modified linker and core histone peptides and clearly demonstrates that CESI-MS is a promising alternative tool for epigenetic studies.     

Development and Validation of a High-Performance Liquid Chromatography–Tandem Mass Spectrometry Method for the Simultaneous Determination of Irinotecan and Its Main Metabolites in Human Plasma and Its Application in a Clinical Pharmacokinetic Study

Irinotecan is currently used in several cancer regimens mainly in colorectal cancer (CRC). This drug has a narrow therapeutic range and treatment can lead to side effects, mainly neutropenia and diarrhea, frequently requiring discontinuing or lowering the drug dose. A wide inter-individual variability in irinotecan pharmacokinetic parameters and pharmacodynamics has been reported and associated to patients’ genetic background. In particular, a polymorphism in the UGT1A1 gene (UGT1A1*28) has been linked to an impaired detoxification of SN-38 (irinotecan active metabolite) to SN-38 glucuronide (SN-38G) leading to increased toxicities. Therefore, therapeutic drug monitoring of irinotecan, SN-38 and SN-38G is recommended to personalize therapy. In order to quantify simultaneously irinotecan and its main metabolites in patients’ plasma, we developed and validated a new, sensitive and specific HPLC–MS/MS method applicable to all irinotecan dosages used in clinic. This method required a small plasma volume, addition of camptothecin as internal standard and simple protein precipitation. Chromatographic separation was done on a Gemini C18 column (3 μM, 100 mm x 2.0 mm) using 0.1% acetic acid/bidistilled water and 0.1% acetic acid/acetonitrile as mobile phases. The mass spectrometer worked with electrospray ionization in positive ion mode and selected reaction monitoring. The standard curves were linear (R² ≥0.9962) over the concentration ranges (10–10000 ng/mL for irinotecan, 1–500 ng/mL for SN-38 and SN-38G and 1–5000 ng/mL for APC) and had good back-calculated accuracy and precision. The intra- and inter-day precision and accuracy, determined on three quality control levels for all the analytes, were always <12.3% and between 89.4% and 113.0%, respectively. Moreover, we evaluated this bioanalytical method by re-analysis of incurred samples as an additional measure of assay reproducibility. This method was successfully applied to a pharmacokinetic study in metastatic CRC patients enrolled in a genotype-guided phase Ib study of irinotecan administered in combination with 5-fluorouracil/leucovorin and bevacizumab.     

Determination of Concentration of Methotrexate Enantiomers in Intracellular and Extracellular Fluids of HepG2 Cells by Liquid Chromatography–Tandem Mass Spectrometry

A rapid and sensitive liquid chromatography–tandem mass spectrometry assay (LC–MS/MS) with electrospray ionization was developed and validated for the quantitative determination of the concentration of methotrexate (MTX) enantiomers in intracellular and extracellular fluids of HepG₂ cells. The analytes were extracted from homogenates using organic solvent to precipitate proteins. The extracted samples were analyzed by LC–MS/MS, operating in multiple reactions monitoring (MRM) mode. The condition of HPLC included the following: Gemini column (3 μm, 3.0 × 75 mm) with chromatographic column was used, and the mobile phase consisting of gradient elution utilized 0.1 % formic acid as solvent A and acetonitrile as solvent B at a flow rate of 0.4 mL min^?1. The gradient was as follows: 0–7.0 min 10–90 % B, 7.0–10 min 90 % B followed by 3 min. The column temperature was maintained at 40 °C. The condition of MS included using electrospray ionization source; MRM mode with the transitions of m/z 455.2 → m/z 308.1 was used to quantify MTX enantiomers. The linear calibration curve was obtained in the concentration range of 10.0 to 10,000 ng mL^?1 for MTX enantiomers in intracellular and extracellular fluids. The inter- and intraday precision was less than 15 %. The mean recovery of (+)-MTX and (?)-MTX in the extracellular fluid of HepG₂ cells were 95.30 and 96.53 %, respectively, and the mean recovery of (+)-MTX and (?)-MTX in the intracellular fluid of HepG2 cells were 93.53 and 94.12 %, respectively. This method was successfully used to detect the concentration of MTX enantiomers in the intracellular and extracellular fluids of HepG₂ cells and that the concentration of (+)-MTX in intracellular fluid was twice higher than the concentration of (?)-MTX in intracellular fluid. The inhibitory effect of (+)-MTX and (?)-MTX was (+)-MTX > (?)-MTX. It is a simple, precise method that can effectively explain the difference in pharamocological effect of MTX enantiomers in vitro.     

Validation of Biomarkers for Distinguishing Mycobacterium tuberculosis from Non-Tuberculous Mycobacteria Using Gas Chromatography?Mass Spectrometry and Chemometrics

Tuberculosis (TB) remains a major international health problem. Rapid differentiation of Mycobacterium tuberculosis complex (MTB) from non-tuberculous mycobacteria (NTM) is critical for decisions regarding patient management and choice of therapeutic regimen. Recently we developed a 20-compound model to distinguish between MTB and NTM. It is based on thermally assisted hydrolysis and methylation gas chromatography-mass spectrometry and partial least square discriminant analysis. Here we report the validation of this model with two independent sample sets, one consisting of 39 MTB and 17 NTM isolates from the Netherlands, the other comprising 103 isolates (91 MTB and 12 NTM) from Stellenbosch, Cape Town, South Africa. All the MTB strains in the 56 Dutch samples were correctly identified and the model had a sensitivity of 100% and a specificity of 94%. For the South African samples the model had a sensitivity of 88% and specificity of 100%. Based on our model, we have developed a new decision-tree that allows the differentiation of MTB from NTM with 100% accuracy. Encouraged by these findings we will proceed with the development of a simple, rapid, affordable, high-throughput test to identify MTB directly in sputum.     

Systematic Internal Standard Selection for Capillary Liquid Chromatography–Mass Spectrometry Time Normalization to Facilitate Serum Proteomics

Because blood interacts with almost all tissues of the body, it is likely that changes in the overall health of an organism will be reflected in the quantities of specific serum peptides and proteins, making them biomarkers. Due to the complexity of serum, pre-analytical sample simplification and separation are needed prior to mass spectrometric analysis. Use of a reverse-phase capillary column coupled to a mass spectrometer allows for separation and analysis of serum as part of efforts to discover biomarkers. Even after sample simplification by organic solvent precipitation, data files for a single sample typically exceed one gigabyte, making it difficult to analyze complete serum mass spectrometry profiles with currently available software. However, with adequate safeguards, it appears possible to consider portions of mass spectra to find differences in peak intensities between clinical comparison groups visually. To facilitate this, the elution profile was divided into 2-min intervals in which mass spectrometry data were averaged. This required that molecular species had defined reproducible elution times. Given liquid chromatography coupled to mass spectrometry variation, misalignment of elution times of individual peaks occurred often. Hence, internal time controls were identified within each window and used for elution time normalization. This significantly reduced variability in data. This approach allowed for peak alignment across samples, improving biomarker discovery.     

High-throughput Database Search and Large-scale Negative Polarity Liquid Chromatography–Tandem Mass Spectrometry with Ultraviolet Photodissociation for Complex Proteomic Samples

The use of ultraviolet photodissociation (UVPD) for the activation and dissociation of peptide anions is evaluated for broader coverage of the proteome. To facilitate interpretation and assignment of the resulting UVPD mass spectra of peptide anions, the MassMatrix database search algorithm was modified to allow automated analysis of negative polarity MS/MS spectra. The new UVPD algorithms were developed based on the MassMatrix database search engine by adding specific fragmentation pathways for UVPD. The new UVPD fragmentation pathways in MassMatrix were rigorously and statistically optimized using two large data sets with high mass accuracy and high mass resolution for both MS¹ and MS² data acquired on an Orbitrap mass spectrometer for complex Halobacterium and HeLa proteome samples. Negative mode UVPD led to the identification of 3663 and 2350 peptides for the Halo and HeLa tryptic digests, respectively, corresponding to 655 and 645 peptides that were unique when compared with electron transfer dissociation (ETD), higher energy collision-induced dissociation, and collision-induced dissociation results for the same digests analyzed in the positive mode. In sum, 805 and 619 proteins were identified via UVPD for the Halobacterium and HeLa samples, respectively, with 49 and 50 unique proteins identified in contrast to the more conventional MS/MS methods. The algorithm also features automated charge determination for low mass accuracy data, precursor filtering (including intact charge-reduced peaks), and the ability to combine both positive and negative MS/MS spectra into a single search, and it is freely open to the public. The accuracy and specificity of the MassMatrix UVPD search algorithm was also assessed for low resolution, low mass accuracy data on a linear ion trap. Analysis of a known mixture of three mitogen-activated kinases yielded similar sequence coverage percentages for UVPD of peptide anions versus conventional collision-induced dissociation of peptide cations, and when these methods were combined into a single search, an increase of up to 13% sequence coverage was observed for the kinases. The ability to sequence peptide anions and cations in alternating scans in the same chromatographic run was also demonstrated. Because ETD has a significant bias toward identifying highly basic peptides, negative UVPD was used to improve the identification of the more acidic peptides in conjunction with positive ETD for the more basic species. In this case, tryptic peptides from the cytosolic section of HeLa cells were analyzed by polarity switching nanoLC-MS/MS utilizing ETD for cation sequencing and UVPD for anion sequencing. Relative to searching using ETD alone, positive/negative polarity switching significantly improved sequence coverages across identified proteins, resulting in a 33% increase in unique peptide identifications and more than twice the number of peptide spectral matches.The advent of new high-performance tandem mass spectrometers equipped with the most versatile collision- and electron-based activation methods and ever more powerful database search algorithms has catalyzed tremendous progress in the field of proteomics (1–4). Despite these advances in instrumentation and methodologies, there are few methods that fully exploit the information available from the acidic proteome or acidic regions of proteins. Typical high-throughput, bottom-up workflows consist of the chromatographic separation of complex mixtures of digested proteins followed by online mass spectrometry (MS) and MSⁿ analysis. This bottom-up approach remains the most popular strategy for protein identification, biomarker discovery, quantitative proteomics, and elucidation of post-translational modifications. To date, proteome characterization via mass spectrometry has overwhelmingly focused on the analysis of peptide cations (5), resulting in an inherent bias toward basic peptides that easily ionize under acidic mobile phase conditions and positive polarity MS settings. Given that ∼50% of peptides/proteins are naturally acidic (6) and that many of the most important post-translational modifications (e.g. phosphorylation, acetylation, sulfonation, etc.) significantly decrease the isoelectric points of peptides (7, 8), there is a compelling need for better analytical methodologies for characterization of the acidic proteome.A principal reason for the shortage of methods for peptide anion characterization is the lack of MS/MS techniques suitable for the efficient and predictable dissociation of peptide anions. Although there are a growing array of new ion activation methods for the dissociation of peptides, most have been developed for the analysis of positively charged peptides. Collision-induced dissociation (CID)¹ of peptide anions, for example, often yields unpredictable or uninformative fragmentation behavior, with spectra dominated by neutral losses from both precursor and product ions (9), resulting in insufficient peptide sequence information. The two most promising new electron-based methods, electron-capture dissociation and electron-transfer dissociation (ETD), are applicable only to positively charged ions, not to anions (10–13). Because of the known inadequacy of CID and the lack of feasibility of electron-capture dissociation and ETD for peptide anion sequencing, several alternative MSⁿ methods have been developed recently. Electron detachment dissociation using high-energy electrons to induce backbone cleavages was developed for peptide anions (14, 15). Another new technique, negative ETD, entails reactions of radical cation reagents with peptide anions to promote electron transfer from the peptide to the reagent that causes radical-directed dissociation (16, 17). Activated-electron photodetachment dissociation, an MS³ technique, uses UV irradiation to produce intact peptide radical anions, which are then collisionally activated (18, 19). Although they represent inroads in the characterization of peptide anions, these methods also suffer from several significant shortcomings. Electron detachment dissociation and activated-electron photodetachment dissociation are both low-efficiency methods that require long averaging cycles and activation times that range from half a second to multiple seconds, impeding the integration of these methods with chromatographic timescales (14–19). In addition, the fragmentation patterns frequently yield many high-abundance neutral losses from product ions, which clutter the spectra (14–17), and few sequence ions (14, 18, 19). Recently, we reported the use of 193-nm photons (ultraviolet photodissociation (UVPD)) for peptide anion activation, which was shown to yield rich and predictable fragmentation patterns with high sequence coverage on a fast liquid chromatographic timeline (20). This method showed promise for a range of peptide charge states (i.e. from 3- to 1-), as well as for both unmodified and phosphorylated species.Several widely used or commercial database searching techniques are available for automated “bottom-up” analysis of peptide cations; SEQUEST (21), MASCOT (22), OMSSA (23), X! Tandem (24), and MASPIC (25) are all popular choices and yield comparable results (26). MassMatrix (27), a recently introduced searching algorithm, uses a mass accuracy sensitive probability-based scoring scheme for both the total number of matched product ions and the total abundance of matched products. This searching method also utilizes LC retention times to filter false positive peptide matches (28) and has been shown to yield results comparable to or better than those obtained with SEQUEST, MASCOT, OMSSA, and X! Tandem (29). Despite the ongoing innovation in automated peptide cation analysis, there is a lack of publically available methods for automated peptide anion analysis.In this work, we have modified the mass accuracy sensitive probabilistic MassMatrix algorithms to allow database searching of negative polarity MS/MS spectra. The algorithm is specific to the fragmentation behavior generated from 193-nm UVPD of peptide anions. The UVPD pathways in MassMatrix were rigorously and statistically optimized using two large data sets with high mass accuracy and high mass resolution for both MS¹ and MS² data acquired on an Orbitrap mass spectrometer for complex HeLa and Halo proteome samples. For low mass accuracy/low mass resolution data, we also incorporated a charge-state-filtering algorithm that identifies the charge state of each MS/MS spectrum based on the fragmentation patterns prior to searching. MassMatrix not only can analyze both positive and negative polarity LC-MS/MS files separately, but also can combine files from different polarities and different dissociation methods into a single search, thus maximizing the information content for a given proteomics experiment. The explicit incorporation of mass accuracy in the scores for the UVPD MS/MS spectra of peptide anions increases peptide assignments and identifications. Finally, we showcase the utility of integrating MassMatrix searching with positive/negative polarity MS/MS switching (i.e. data-dependent positive ETD and negative UVPD during a single proteomic LC-MS/MS run). MassMatrix is available to the public as a free search engine online.     

Simultaneous determination of type A-& B-trichothecenes and zearalenone in cereals by High Performance Liquid Chromatography — Tandem Mass Spectrometry

A rapid quantitative method for the simultaneous determination of the majorFusarium mycotoxins nivalenol, deoxynivalenol, fusarenon-X, 3-acetyl-deoxynivalenol, 15-acetyl-deoxynivalenol, diacetoxyscirpenol, HT-2 toxin, T-2 toxin and zearalenone in maize and wheat was developed. Raw extracts (acetonitrile/water 84/16) are cleaned-up with MycoSep^® columns., Chromatographic separation and end determination is carried out by HPLC-APCI-MS/MS.HPLC run times of 10 minutes considerably increases sample throughput and make this method suitable for routine analysis. The use of a triple quadrupole mass spectrometer allows the selective detection of the mycotoxins and their quantification in the low μg/kg-range.     

Colloidal Silver Staining of Electroblotted Proteins for High Sensitivity Peptide Mapping by Liquid Chromatography–Electrospray Ionization Tandem Mass Spectrometry

Mass spectrometric techniques for the identification of proteins either by amino acid sequencing or by correlation of mass spectral data with sequence databases are becoming increasingly sensitive and are rapidly approaching the limit of detection achieved by the staining of proteins in gels or, after electroblotting, on membranes. Here we present a technique for the sensitive staining of proteins electroblotted onto nitrocellulose or polyvinylidene difluoride membranes and enzymatic cleavage conditions for such proteins to achieve optimal recovery of peptides. The technique is based on the deposition of colloidal silver on the membrane-bound proteins. Peptide mixtures generated by proteolysis on the membrane were recovered at high yields and were compatible with analysis by reverse-phase chromatography and on-line electrospray ionization mass spectrometry. This simple and rapid colloidal silver staining procedure allowed the visualization of less than 5 ng of protein in a band and thus approached the sensitivity of silver staining in gels. We demonstrate that this method allows the detection of subpicomole amounts of electroblotted proteins and their identification by high-performance liquid chromatography–electrospray ionization tandem mass spectrometry.     

A Guide to Harmonisation and Standardisation of Measurands Determined by Liquid Chromatography – Tandem Mass Spectrometry in Routine Clinical Biochemistry

Globally, harmonisation in laboratory medicine is a significant project. The relatively new implementation of liquid chromatography coupled with tandem mass spectrometry (LC-MSMS) techniques as routine assays in diagnostic laboratories provides the unique opportunity to harmonise, and in many cases standardise, methods from an early stage. This guide aims to provide a practical overview of the steps required to achieve agreement between LC-MSMS analytical procedures for routine clinical biochemistry diagnostic assays, with particular focus on the harmonisation and standardisation of methods currently implemented.To achieve harmonisation, and where practical standardisation, the approach is more efficient if divided into sequential stages. The suggested division entails: (i) planning and preliminary work; (ii) initial assessment of performance; (iii) standardisation and harmonisation initiative; (iv) establishing common reference intervals and critical limits; (v) developing best practice guidelines; and (vi) performing an ongoing review.The profession has a unique and significant opportunity to bring clinical mass spectrometry-based assays into agreement. Harmonisation of assays should ultimately provide the same result and interpretation for a given patient’s sample, irrespective of the laboratory that produced the result. To achieve this goal, we need to agree on the best practice LC-MSMS methods for use in routine clinical measurement.     

Identification of Human Plasma Metabolites Exhibiting Time-of-Day Variation Using an Untargeted Liquid Chromatography–Mass Spectrometry Metabolomic Approach

Although daily rhythms regulate multiple aspects of human physiology, rhythmic control of the metabolome remains poorly understood. The primary objective of this proof-of-concept study was identification of metabolites in human plasma that exhibit significant 24-h variation. This was assessed via an untargeted metabolomic approach using liquid chromatography–mass spectrometry (LC-MS). Eight lean, healthy, and unmedicated men, mean age 53.6 (SD?±?6.0) yrs, maintained a fixed sleep/wake schedule and dietary regime for 1 wk at home prior to an adaptation night and followed by a 25-h experimental session in the laboratory where the light/dark cycle, sleep/wake, posture, and calorific intake were strictly controlled. Plasma samples from each individual at selected time points were prepared using liquid-phase extraction followed by reverse-phase LC coupled to quadrupole time-of-flight MS analysis in positive ionization mode. Time-of-day variation in the metabolites was screened for using orthogonal partial least square discrimination between selected time points of 10:00 vs. 22:00?h, 16:00 vs. 04:00?h, and 07:00 (d 1) vs. 16:00?h, as well as repeated-measures analysis of variance with time as an independent variable. Subsequently, cosinor analysis was performed on all the sampled time points across the 24-h day to assess for significant daily variation. In this study, analytical variability, assessed using known internal standards, was low with coefficients of variation <10%. A total of 1069 metabolite features were detected and 203 (19%) showed significant time-of-day variation. Of these, 34 metabolites were identified using a combination of accurate mass, tandem MS, and online database searches. These metabolites include corticosteroids, bilirubin, amino acids, acylcarnitines, and phospholipids; of note, the magnitude of the 24-h variation of these identified metabolites was large, with the mean ratio of oscillation range over MESOR (24-h time series mean) of 65% (95% confidence interval [CI]: 49–81%). Importantly, several of these human plasma metabolites, including specific acylcarnitines and phospholipids, were hitherto not known to be 24-h variant. These findings represent an important baseline and will be useful in guiding the design and interpretation of future metabolite-based studies. (Author correspondence: Jooern.Ang@icr.ac.uk or Florence.Raynaud@icr.ac.uk)     

Phytohormone Profiling During Tuber Development of Chinese Yam by Ultra-high performance Liquid Chromatography–Triple Quadrupole Tandem Mass Spectrometry

Changes in agronomic characters and the profile of various endogenous phytohormones during tuber development were studied in Dioscorea opposite (Chinese yam) cv. Guihuai 16. Tuber development exhibited a sigmoidal growth pattern according to the changes in tuber agronomic characters. The growth cycle of yam tuber could be divided into three stages: initiation stage, enlargement stage, and maturation stage. Moreover, the enlargement stage could be separated into three phases—slow growth phase, rapid growth phase, and late growth phase. Endogenous changes in phytohormones were associated with developmental changes in the tubers. The pulses of bioactive gibberellins (such as GA₃ and GA₄) were measured in tubers. The highest contents of GA₃ and GA₄ were reached 90 days after field planting, corresponding to the beginning of the rapid growth phase of tuber enlargement. Changes in trans-zeatin (tZ), jasmonic acid (JA), indole-3-acetic acid (IAA), and abscisic acid (ABA) levels were also observed, and seemed to be related to tuber enlargement at different phases. Continuous increases in JA and tZ contents accompanied tuber enlargement. Transient pulses of both IAA and ABA contents were also observed at the start of tuber rapid growth. Additionally, a second peak level of IAA was detected at the tuber maturation stage. These results suggest GAs play a key role at the beginning of the tuber rapid growth stage, and there is a close relationship between whole tuber enlargement and the contents of JA and tZ. Moreover, it is suggested that IAA and ABA also may be linked to the beginning of tuber rapid growth, and IAA also seems to be correlated to late tuber maturation.     

Long-Chain Free Fatty Acid Profiling Analysis by Liquid Chromatography–Mass Spectrometry in Mouse Treated with Peroxisome Proliferator-Activated Receptor α Agonist

A change in the free fatty acid (FFA) profile reflects an alteration in the lipid metabolism of peripheral tissue. A high-throughput quantitative analysis method for individual FFAs therefore needs to be established. We report here an optimized LC-MS assay for a high-throughput and high-sensitivity analysis of the 10 major long-chain FFAs in mouse plasma and liver. This assay enables quantification of individual FFAs by using trace amounts of samples (2 µL of plasma and 10 mg of liver tissue). We apply this method to analyze the FFA profile of plasma and liver samples from an obese mouse model treated with bezafibrate, the peroxisome proliferator-activated receptor α (PPARα) agonist, and show a change in the FFA profile, particularly in the palmitoleic and oleic acid contents. This assay is useful for quantifying individual FFAs and helpful for monitoring the condition of lipid metabolism.     

Significant Variation for Bio-oil Compounds After Pyrolysis/Gas Chromatography–Mass Spectrometry of Cobs and Stover Among Five Near-Isogenic Brown Midrib Hybrids in Maize

We analyzed five near-isogenic brown midrib hybrids in maize via pyrolysis/gas chromatography–mass spectrometry (Py/GC-MS) in order to determine how differing lignin composition and structure impacts individual bio-oil compounds. Twenty-six compounds were analyzed for differences among the five hybrids and between cob and stover materials. We found statistically significant differences for 9 compounds, when comparing the 5 hybrids, and 17 significant differences when comparing maize cobs with stover. Our data indicate that it may be possible to predict phenolic compounds within bio-oil based on cell wall lignin composition. The genetic variation observed in this study suggests that bio-oil quality can be improved by plant breeding.     

The mzQuantML Data Standard for Mass Spectrometry–based Quantitative Studies in Proteomics

The range of heterogeneous approaches available for quantifying protein abundance via mass spectrometry (MS)¹ leads to considerable challenges in modeling, archiving, exchanging, or submitting experimental data sets as supplemental material to journals. To date, there has been no widely accepted format for capturing the evidence trail of how quantitative analysis has been performed by software, for transferring data between software packages, or for submitting to public databases. In the context of the Proteomics Standards Initiative, we have developed the mzQuantML data standard. The standard can represent quantitative data about regions in two-dimensional retention time versus mass/charge space (called features), peptides, and proteins and protein groups (where there is ambiguity regarding peptide-to-protein inference), and it offers limited support for small molecule (metabolomic) data. The format has structures for representing replicate MS runs, grouping of replicates (for example, as study variables), and capturing the parameters used by software packages to arrive at these values. The format has the capability to reference other standards such as mzML and mzIdentML, and thus the evidence trail for the MS workflow as a whole can now be described. Several software implementations are available, and we encourage other bioinformatics groups to use mzQuantML as an input, internal, or output format for quantitative software and for structuring local repositories. All project resources are available in the public domain from the HUPO Proteomics Standards Initiative http://www.psidev.info/mzquantml.The Proteomics Standards Initiative (PSI) has been working for ten years to improve the reporting and standardization of proteomics data. The PSI has published minimum reporting guidelines, called MIAPE (Minimum Information about a Proteomics Experiment) documents, for MS-based proteomics (1) and molecular interactions (2), as well as data standards for raw/processed MS data in mzML (3), peptide and protein identifications in mzIdentML (4), transitions for selected reaction monitoring analysis in TraML (5), and molecular interactions in PSI-MI format (6). Standards are particularly important for quantitative proteomics research, because the associated bioinformatics analysis is highly challenging as a result of the range of different experimental techniques for deriving abundance values for proteins using MS. The techniques can be broadly divided into those based on (i) differential labeling, in which a metabolic label or chemical tag is applied to cells, peptides, or proteins, samples are mixed, and intensity signals for peptide ions are compared within single MS runs; or (ii) label-free methods in which MS runs occur in parallel and bioinformatics methods are used to extract intensity signals, ensuring that like-for-like signals are compared between runs (7). In most label-based and label-free approaches, peptide ratios or abundance values must be summarized in order for one to arrive at relative protein abundance values, taking into account ambiguity in peptide-to-protein inference. Absolute protein abundance values can typically be derived only using internal standards spiked into samples of known abundance (8, 9). The PSI has recently developed a MIAPE-Quant document defining and describing the minimal information necessary in order to judge or repeat a quantitative proteomics experiment.Software packages tend to report peptide or protein abundance values in a bespoke format, often as tab or comma separated values, for import into spreadsheet software. In complementary work, the PSI has developed a standard format for capturing these final results in a standardized tab separated value format, called mzTab, suitable for post-processing and visualization in end-user tools such as Microsoft Excel or the R programming language. The final results of a quantitative analysis are sufficient for many purposes, such as performing statistical analysis to determine differential expression or cluster analysis to find co-expressed proteins. However, mzTab (or similar bespoke formats) was not designed to hold a trace of how the peptide and protein abundance values were calculated from MS data (i.e. metadata is lost that might be crucial for other tasks). For example, most quantitative software packages detect and quantify so-called “features” (representing all ions collected for a given peptide) in two-dimensional MS data, where the two dimensions are retention time from liquid chromatography (LC) and mass over charge (m/z). Without capturing the two-dimensional coordinates of the features, it is not possible to write visualization software showing exactly what the software has quantified; researchers have to trust that the software has accurately quantified all ions from isotopes of a given peptide, excluding any overlapping ions derived from other peptides. The history of proteomics research has been one in which studies of highly variable quality have been published. There is also little quality control or benchmarking performed on quantitative software (10), meaning it is difficult to make quality judgments on a set of peptide and protein abundance values. The PSI has recently developed mzML, which can capture raw or processed MS data in a vendor neutral format, and the mzIdentML standard, to capture search engine results and the important metadata (such as software parameters), such that peptide and protein identification data can be interpreted consistently. These two standards are now being used for data sharing and to support open source software development, so that informatics groups can focus on algorithmic development rather than file format conversions. Until now, there has been no widely used open source format or data standard for capturing metadata and data relating to the quantitation step of analysis pipelines. In this work, we report the mzQuantML standard from the PSI, which has recently completed the PSI standardization process (11), from which version 1.0 was released. We believe that quantitative proteomics research will benefit from improved capabilities for tracing what manipulations have happened to data at each stage of the analysis process. The mzQuantML standard has been designed to store quantitative values calculated for features, peptides, proteins, and/or protein groups (where there is ambiguity in protein inference), plus associated software parameters. It has also been designed to accommodate small molecule data to improve interoperability with metabolomics investigations. The format can represent experimental replicates and grouping of replicates, and it has been designed via an open and transparent process.     

Gas Chromatography Time-Of-Flight Mass Spectrometry (GC-TOF-MS)-Based Metabolomics for Comparison of Caffeinated and Decaffeinated Coffee and Its Implications for Alzheimer’s Disease

Findings from epidemiology, preclinical and clinical studies indicate that consumption of coffee could have beneficial effects against dementia and Alzheimer’s disease (AD). The benefits appear to come from caffeinated coffee, but not decaffeinated coffee or pure caffeine itself. Therefore, the objective of this study was to use metabolomics approach to delineate the discriminant metabolites between caffeinated and decaffeinated coffee, which could have contributed to the observed therapeutic benefits. Gas chromatography time-of-flight mass spectrometry (GC-TOF-MS)-based metabolomics approach was employed to characterize the metabolic differences between caffeinated and decaffeinated coffee. Orthogonal partial least squares discriminant analysis (OPLS-DA) showed distinct separation between the two types of coffee (cumulative Q² = 0.998). A total of 69 discriminant metabolites were identified based on the OPLS-DA model, with 37 and 32 metabolites detected to be higher in caffeinated and decaffeinated coffee, respectively. These metabolites include several benzoate and cinnamate-derived phenolic compounds, organic acids, sugar, fatty acids, and amino acids. Our study successfully established GC-TOF-MS based metabolomics approach as a highly robust tool in discriminant analysis between caffeinated and decaffeinated coffee samples. Discriminant metabolites identified in this study are biologically relevant and provide valuable insights into therapeutic research of coffee against AD. Our data also hint at possible involvement of gut microbial metabolism to enhance therapeutic potential of coffee components, which represents an interesting area for future research.