Peak quantification in surface-enhanced laser desorption/ionization by using mixture models

Surface-enhanced laser desorption/ionization (SELDI) time of flight (TOF) is a mass spectrometry technology for measuring the composition of a sampled protein mixture. A mass spectrum contains peaks corresponding to proteins in the sample. The peak areas are proportional to the measured concentrations of the corresponding proteins. Quantifying peak areas is difficult for existing methods because peak shapes are not constant across a spectrum and because peaks often overlap. We present a new method for quantifying peak areas. Our method decomposes a spectrum into peaks and a baseline using so-called statistical finite mixture models. We illustrate our method in detail on 8 samples from culture media of adipose tissue and globally on 64 samples from serum to compare our method to the standard Ciphergen method. Both methods give similar estimates for singleton peaks, but not for overlapping peaks. The Ciphergen method overestimates the heights of such peaks while our method still gives appropriate estimates. Peak quantification is an important step in pre-processing SELDI-TOF data and improvements therein will pay off in the later biomarker discovery phase.     

Determination of prolidase activity using matrix-assisted laser desorption/ionization time-of-flight mass spectrometry

Proline-containing peptides of the X-proline type are cleaved by the dipeptidase prolidase. The classical method of prolidase assay relied on the colorimetric estimation of the liberated proline with ninhydrin using acidic media and heat. This method, however, gave inconsistent results due to the nonspecificity of the ninhydrin color reaction. We report here a method for the detection of the liberated proline using matrix-assisted laser desorption/ionization time-of-flight (MALDI-TOF) mass spectrometry. Human sera were incubated with a mixture containing the dipeptide glycyl-proline in Tris-HCl supplemented with manganese at 37 degrees C for 24h. The samples were precipitated with trifluoroacetic acid and centrifuged. An aliquot of the supernatant was mixed with an equal volume of ferulic acid solution. An aliquot from this mixture was spotted on a stainless steel mass spectrometry grid and analyzed using MALDI-TOF mass spectrometry. The activity of the enzyme was determined by the complete disappearance of the glycyl-proline peak with the concomitant appearance of the proline peak and can be expressed in terms of the ratio of the area beneath the proline to the area beneath the glycyl-proline peak. Subjects homozygous for prolidase deficiency had a ratio ranging from 0.006 to 0.04 while obligatory heterozygotes had a ratio ranging from around 1.1 to 2.4. Normal subjects had ratios ranging from 9 to 239. Using this method we have unambiguously identified subjects with homozygous or heterozygous prolidase deficiency. In addition to the advantage of rapid sample preparation time, this method is highly specific, reproducible, and sensitive.     

A study on in vitro glycation processes by matrix-assisted laser desorption ionization mass spectrometry

The number of glucose molecules condensed on glycated bovine serum albumin have been easily determined by means of matrix-assisted laser desorption/ionization mass spectrometry. Measurements were carried out on samples from incubation of the proteins with glucose at different concentrations (0.02 M, 0.2 M, 2 M and 5 M). A clear increase in molecular mass of BSA with respect to incubation time is detected. In contrast to what is observed with fluorescence, the plots of molecular mass increase vs. incubation time show tha occurrence of a steady state, corresponding to the complete saturation of all the protein sites against glucose. Comparison of fluorescence and molecular mass data reveals that some further reactions, different from condensation, must take place, which could be in principle either intramolecular or originated by reactivity of modified condensed gluocse moieties vs. free glucose.     

Analysis of lipids from crude lung tissue extracts by desorption electrospray ionization mass spectrometry and pattern recognition

A method is described using desorption electrospray ionization (DESI) mass spectrometry (MS) to obtain phospholipid mass spectral profiles from crude lung tissue extracts. The measured DESI mass spectral lipid fingerprints were then analyzed by unsupervised learning principal components analysis (PCA). This combined approach was used to differentiate the effect(s) of two vaccination routes on lipid composition in mouse lungs. Specifically, the two vaccination routes compared were intranasal (i.n.) and intradermal (i.d.) inoculation of the Francisella tularensis live vaccine strain (Ft–LVS). Lung samples of control and LVS-inoculated mice were quickly extracted with a methanol/chloroform solution, and the crude extract was directly analyzed by DESI–MS, with a total turnaround time of less than 10 min/sample. All of the measured DESI mass spectra (in both positive and negative ion mode) were compared via PCA, resulting in clear differentiation of mass spectral profiles of i.n.-inoculated mouse lung tissues from those of i.d.-inoculated and control mouse lung tissues. Lipid biomarkers responsible for sample differentiation were identified via tandem MS (MS/MS) measurements or by comparison with mass spectra of lipid standards. The DESI–MS approach described here provided a practical and rapid means to analyze tissue samples without extensive extractions and solvent changes.     

A label-free mass spectrometry method for the quantification of protein isotypes

Successful quantitative mass spectrometry (MS) requires strategies to link the mass spectrometer response to the analyte abundance, with the response being dependent on more factors than just analyte abundance. Label-dependent strategies rely on the incorporation of an isotopically labeled internal standard into the sample. Current label-free strategies (performed without internal standards) are useful for analyzing samples that are unsuitable for isotopic labeling but are less accurate. Here we describe a label-free technique applicable to analysis of products from related genes (isotypes). This approach enables the invariant tryptic peptide sequences within the family to serve as “built-in” internal standards and the isotype-specific peptide sequences to report the amount of the various isotypes. A process of elimination segregates reliably trypsin-released standard and reporter peptides from unreliably released peptides. The specific MS response factors for these reporter and standard peptides can be determined using synthetic peptides. Analysis of HeLa tubulin digests revealed peptides from βI-, βII-, βIII-, βIVb-, and βV-tubulin, eight of which were suitable; along with five standard peptides for quantification of the β-tubulin isotypes. To show the utility of this method, we determined that βI-tubulin represented 77% and βIII-tubulin represented 3.2% of the total HeLa β-tubulin.     

Quantification of bifunctional diethylenetriaminepentaacetic acid derivative conjugation to monoclonal antibodies by matrix-assisted laser desorption/ionization time-of-flight mass spectrometry

The results of the characterization of a matrix-assisted laser desorption/ionization time-of-flight mass spectrometry-based method that was developed to establish the stoichiometry of CHX-A'-diethylenetriaminepentaacetic acid (DTPA) or benzyl-DTPA conjugated to a recombinant immunoglobulin G (IgG) are reported. This simple method does not require an accurate measurement of the sample protein concentration to accurately quantify the number of DTPA conjugated. It is also not necessary to thoroughly remove nonconjugated DTPA from the sample. The average number of moles of DTPA attached per mole of IgG was calculated from the difference in the observed masses of DTPA-IgG and nonconjugated IgG divided by the molecular weight of the DTPA derivative. As more DTPA is attached, the [M+H](+) peak of DTPA-IgG becomes broader and noisier. Also, the signal intensity in the mass spectrum decreases, apparently due to the increase in the heterogeneity in the number of DTPA attached to each molecule of IgG. The standard deviation of the measured mass and that of the stoichiometry of the DTPA attached per IgG increased as more DTPA was attached. The standard deviation, expressed as coefficient of variation for samples with 2 to 4 mol of DTPA attached per mole of IgG, was 8 to 9%.     

Protein profiling of single epidermal cell types from Arabidopsis thaliana using surface-enhanced laser desorption and ionization technology

Here, we describe a novel approach for investigating differential protein expression within three epidermal cell types. In particular, 3000 single pavement, basal, and trichome cells from leaves of Arabidopsis thaliana were harvested by glass micro-capillaries. Subsequently, these single cell samples were joined to form pools of 100 individual cells and analyzed using the ProteinChip technology; SELDI: surface-enhanced laser desorption and ionization. As a result, numerous protein signals that were differentially expressed in the three epidermal cell types could be detected. One of these proteins was characterized by tryptical digestion and subsequent identification via tandem quadrupole-time of flight (Q-TOF) mass spectrometry. Down regulation of this sequenced small subunit precursor of ribulose-1,5 bisphophate carboxylase(C) oxygenase(O) (RuBisCo) in trichome and basal cells indicates the sink status of these cell types that are located on the surface of A. thaliana source leaves. Based on the obtained protein profiles, we suggest a close functional relationship between basal and trichome cells at the protein level.     

Discrimination of Aspergillus isolates at the species and strain level by matrix-assisted laser desorption/ionization time-of-flight mass spectrometry fingerprinting

Matrix-assisted laser desorption/ionization time-of-flight mass spectrometry (MALDI–TOF MS) was used to generate highly reproducible mass spectral fingerprints for 12 species of fungi of the genus Aspergillus and 5 different strains of Aspergillus flavus. Prior to MALDI–TOF MS analysis, the fungi were subjected to three 1-min bead beating cycles in an acetonitrile/trifluoroacetic acid solvent. The mass spectra contain abundant peaks in the range of 5 to 20 kDa and may be used to discriminate between species unambiguously. A discriminant analysis using all peaks from the MALDI–TOF MS data yielded error rates for classification of 0 and 18.75% for resubstitution and cross-validation methods, respectively. If a subset of 28 significant peaks is chosen, resubstitution and cross-validation error rates are 0%. Discriminant analysis of the MALDI–TOF MS data for 5 strains of A. flavus using all peaks yielded error rates for classification of 0 and 5% for resubstitution and cross-validation methods, respectively. These data indicate that MALDI–TOF MS data may be used for unambiguous identification of members of the genus Aspergillus at both the species and strain levels.     

Structural and quantitative analysis of N-linked glycans by matrix-assisted laser desorption ionization and negative ion nanospray mass spectrometry

Negative ion electrospray (ESI) fragmentation spectra derived from anion-adducted glycans were evaluated for structural determination of N-linked glycans and found to be among the most useful mass spectrometric techniques yet developed for this purpose. In contrast to the more commonly used positive ion spectra that contain isobaric ions formed by losses from different regions of the molecules and often lead to ambiguous deductions, the negative ion spectra contain ions that directly reflect structural features such as the branching pattern, location of fucose, and the presence of bisecting GlcNAc. These structural features are sometimes difficult to determine by traditional methods. Furthermore, the spectra give structural information from mixtures of isomers and from single compounds. The method was evaluated with well-characterized glycans from IgG and used to explore structures of N-linked glycans released from serum glycoproteins with the aim of identifying biomarkers for cancer. Quantities of glycans were measured by ESI and by matrix-assisted laser desorption ionization mass spectrometry; each technique produced virtually identical results for the neutral desialylated glycans.     

Characterisation of bacteria by matrix-assisted laser desorption/ionisation and electrospray mass spectrometry

Chemical analysis for the characterisation of micro-organisms is rapidly evolving, after the recent advent of new ionisation methods in mass spectrometry (MS): electrospray (ES) and matrix-assisted laser desorption/ionisation (MALDI). These methods allow quick characterisation of micro-organisms, either directly or after minimum sample preparation. This review provides a brief introduction to ES and MALDI MS and a discussion of micro-organism characterisation capabilities. Some attention is devoted to the analysis of mixtures of proteins, lipids and other compounds, to the combination of polymerase chain reaction technology and MS, and to the analysis of whole bacteria and their lysates. The review of results produced hitherto is concluded with an outlook on future developments.     

A method for N-terminal de novo sequence analysis of proteins by matrix-assisted laser desorption/ionization mass spectrometry

A novel method for isolation and de novo sequencing of N-terminal peptides from proteins is described. The method presented here combines selective chemical tagging using succinimidyloxycarbonylmethyl tris(2,4,6-trimethoxyphenyl)phosphonium bromide (TMPP-Ac-OSu) at the N^α-amino group of peptides after digestion by metalloendopeptidase (from Grifola frondosa) and selective capture procedures using p-phenylenediisothiocyanate resin, by which the N-terminal peptide can be isolated, whether or not it is N-terminally blocked. The isolated N-terminal peptide modified N-terminally with TMPP-Ac-OSu reagent produces a simple fragmentation pattern under tandem mass spectrometric analysis to significantly facilitate sequencing.     

Enhancement of ovarian tumor classification by improved reproducibility in matrix-assisted laser desorption/ionization time-of-flight mass spectrometry of serum glycans

The serum N-glycome is a promising source of biomarker discovery. Matrix-assisted laser desorption/ionization time-of-flight (MALDI–TOF) mass spectrometry (MS) profiling of serum N-glycans was attempted for differentiating borderline ovarian tumor from benign cases, for which a low data spread is essential. An experimental protocol using matrix-prespotted MALDI plates and fast vacuum drying of the loaded N-glycan samples was developed, thereby minimizing the intensity variations in the replicates to an average relative standard deviation (RSD) of 3.96% for the highest N-glycan peak (m/z 1485.53) of the Sigma–Aldrich serum standard. When applied to sera of ovarian tumors, this procedure exhibited an average RSD of 5.74% for m/z 1485.53 and of 7.28% for all MS peaks. This improved reproducibility combined with the OVA-Beyond^® screening software resulted in 75.1% and 79.4% correct classification for benign and borderline tumor samples, respectively, while the classification rates by the conventional ovarian tumor marker CA-125 were 54.4% and 53.1%, respectively. Both true positive rate and true negative rate fluctuated with small numbers of markers and converged as the number of markers increased. Cross-validations were performed in comparison with CA-125. These results suggest that our optimized process for MALDI–TOF MS of the serum glycome has a great potential for the screening of early stage ovarian cancer.     

Improved detection of botulinum neurotoxin type A in stool by mass spectrometry

Botulinum neurotoxins (BoNTs) are the most toxic substances known to humankind. Rapid and sensitive detection of BoNTs is necessary for timely clinical confirmation of the disease state in botulism. BoNTs cleave proteins and peptide mimics at specific sites. A mass spectrometry (MS)-based method, Endopep–MS, can detect these cleavages and has detection limits of 0.05–0.5 mouse LD₅₀ (U) in serum, depending on the BoNT serotypes. In this method, the products generated from cleavage of peptide substrates using antibody affinity-purified toxins are detected by MS. Nonspecific bound endogenous proteases or peptidases in stool can coextract with the toxin, cleaving the peptide substrates and reducing the sensitivity of the method. Here we report a method to reduce nonspecific substrate cleavage by reducing stool protease coextraction in the Endopep–MS assay.     

Fungal pigments inhibit the matrix-assisted laser desorption/ionization time-of-flight mass spectrometry analysis of darkly pigmented fungi

Matrix-assisted laser desorption/ionization time-of-flight mass spectrometry (MALDI–TOF MS) has been used to discriminate moniliaceous fungal species; however, darkly pigmented fungi yield poor fingerprint mass spectra that contain few peaks of low relative abundance. In this study, the effect of dark fungal pigments on the observed MALDI mass spectra was investigated. Peptide and protein samples containing varying concentrations of synthetic melanin or fungal pigments extracted from Aspergillus niger were analyzed by MALDI–TOF and MALDI–qTOF (quadrupole TOF) MS. Signal suppression was observed in samples containing greater than 250 ng/μl pigment. Microscopic examination of the MALDI sample deposit was usually heterogeneous, with regions of high pigment concentration appearing as black. Acquisition of MALDI mass spectra from these darkly pigmented regions of the sample deposit yielded poor or no [M+H]⁺ ion signal. In contrast, nonpigmented regions within the sample deposit and hyphal negative control extracts of A. niger were not inhibited. This study demonstrated that dark fungal pigments inhibited the desorption/ionization process during MALDI–MS; however, these fungi may be successfully analyzed by MALDI–TOF MS when culture methods that suppress pigment expression are used. The addition of tricyclazole to the fungal growth media blocks fungal melanin synthesis and results in less melanized fungi that may be analyzed by MALDI–TOF MS.     

Protein phosphorylation analysis by site-specific arginine-mimic labeling in gel electrophoresis and matrix-assisted laser desorption/ionization time-of-flight mass spectrometry

Although recent advances in gel electrophoresis and mass spectrometry have greatly facilitated separation, purification, and identification of proteins, significant challenges remain in relation to phosphoprotein analysis. Here we introduce a powerful method for analysis of protein phosphorylation in which phosphorylation sites are labeled with guanidinoethanethiol (GET) by beta-elimination/Michael addition prior to proteolysis and mass spectrometry (MS) analysis. This technique is especially useful in conjunction with gel-based technology in that all of the processes involved, including GET labeling, washing, and phosphospecific enzymatic hydrolysis, can be carried out in excised gel slices, thereby minimizing sample loss and contamination. The novel GET tag, which has a highly basic guanidine group, increases the peak intensities for the GET-labeled tryptic peptides by matrix-assisted laser desorption/ionization time-of-flight (MALDI-TOF) MS. In addition, phosphospecific proteolytic cleavage occurs at guanidinoethylcysteine (Gec) residue, which is arginine-mimic formed by GET tagging of phosphorylated serine residues. Thus, GET tagging is especially useful in analysis of long tryptic phosphopeptides. To illustrate the utility of the in-gel GET tagging and digestion approach, we used it to precisely analyze the phosphorylation sites of human glutathione S-transferase P1 (GSTP1), an enzyme involved in phase II metabolism of many carcinogens and anticancer drugs. The in-gel GET tagging/digestion technique significantly enhances the analytical potential of gel electrophoresis/MS in studies of proteome phosphorylation.     

Analysis of derivatised steroids by matrix-assisted laser desorption/ionisation and post-source decay mass spectrometry

Neutral steroids are difficult to analyse using desorption ionisation methods coupled with mass spectrometry (MS). However, steroids with an unhindered ketone group can readily be derivatised with the Girard P (GP) reagent to give GP hydrazones. Steroid GP hydrazones contain a quaternary nitrogen atom and are readily desorbed in the matrix-assisted laser desorption/ionisation (MALDI) process, giving an improvement in sensitivity of two orders of magnitude. Steroids without a ketone group, but with a 3beta-hydroxy-Delta5 function, can be readily converted to 3-oxo-Delta4 steroids and subsequently derivatised to GP hydrazones for MALDI analysis. In addition to giving strong [M]+ ions upon MALDI, steroid GP hydrazones give informative post-source decay (PSD) spectra. By using the accurate mass of the precursor-ion measured by MALDI-MS, in combination with the structural information encoded in its PSD spectrum, steroid structures can readily be determined.     

Improving feature detection and analysis of surface-enhanced laser desorption/ionization-time of flight mass spectra

Discovering valid biological information from surface-enhanced laser desorption/ionization-time of flight mass spectrometry (SELDI-TOF MS) depends on clear experimental design, meticulous sample handling, and sophisticated data processing. Most published literature deals with the biological aspects of these experiments, or with computer-learning algorithms to locate sets of classifying biomarkers. The process of locating and measuring proteins across spectra has received less attention. This process should be tunable between sensitivity and false-discovery, and should guarantee that features are biologically meaningful in that they represent chemical species that can be identified and investigated. Existing feature detection in SELDI-TOF MS is not optimal for acquiring biologically relevant data. Most methods have so many user-defined settings that reproducibility and comparability among studies suffer considerably. To address these issues, we have developed an approach, called simultaneous spectrum analysis (SSA), which (i) locates proteins across spectra, (ii) measures their abundance, (iii) subtracts baseline, (iv) excludes irreproducible measurements, and (v) computes normalization factors for comparing spectra. SSA uses only two key parameters for feature detection and one parameter each for quality thresholds on spectra and peaks. The effectiveness of SSA is demonstrated by identifying proteins differentially expressed in SELDI-TOF spectra from plasma of wild-type and knockout mice for plasma glutathione peroxidase. Comparing analyses by SSA and CiphergenExpress Data Manager 2.1 finds similar results for large signal peaks, but SSA improves the number and quality of differences betweens groups among lower signal peaks. SSA is also less likely to introduce systematic bias when normalizing spectra.     

Experiments towards quantification of saturated and polyunsaturated diacylglycerols by matrix-assisted laser desorption and ionization time-of-flight mass spectrometry

As recently shown, different physiologically relevant lipid classes can easily be analyzed by matrix-assisted laser desorption and ionization time-of-flight mass spectrometry (MALDI–TOF MS). In the present study the first application of MALDI–TOF for the quantitative analysis of diacylglycerols is described. It is shown that the use of a suitable reference sample enables the quantification of diacylglycerols up to the picomolar range. The best reproducibility of quantitative results for diacylglycerols was obtained using a matrix of 2,5-dihydroxybenzoic acid in ethylacetate and incorporation of an internal standard of the same lipid class. A moderate laser power was used, resulting in a very low extent of fragmentation, allowing a quantification by using solely the highest signal arising from sodium adduct formation of diacylglycerols. A linear correlation between peak intensity and lipid concentration over one order of magnitude was found. The applicability of this new technique for the analysis of other lipids like phosphatidylcholines is also discussed.