On-chip microextraction for proteomic sample preparation of in-gel digests

Despite the high sensitivity and relatively high tolerance for contaminants of matrix-assisted laser desorption/ionization-time of flight mass spectrometry (MALDI-TOF MS) there is often a need to purify and concentrate the sample solution, especially after in-gel digestion of proteins separated by two-dimensional gel electrophoresis (2-DE). A silicon microextraction chip (SMEC) for sample clean-up and trace enrichment of peptides was manufactured and investigated. The microchip structure was used to trap reversed-phase chromatography media (POROS R2 beads) that facilitates sample purification/enrichment of contaminated and dilute samples prior to the MALDI-TOF MS analysis. The validity of the SMEC sample preparation technique was successfully investigated by performing analysis on a 10 nM peptide mixture containing 2 m urea in 0.1 m phosphate-buffered saline with MALDI-TOF MS. It is demonstrated that the microchip sample clean-up and enrichment of peptides can facilitate identification of proteins from 2-DE separations. The microchip structure was also used to trap beads immobilized with trypsin, thereby effectively becoming a microreactor for enzymatic digestion of proteins. This microreactor was used to generate a peptide map from a 100 nM bovine serum albumin sample.     

Matrix layer sample preparation: an improved MALDI-MS peptide analysis method for proteomic studies

The analytical performance of MALDI-MS is highly influenced by sample preparation and the choice of matrix. Here we present an improved MALDI-MS sample preparation method for peptide mass mapping and peptide analysis, based on the use of the 2,5-dihydroxybenzoic acid matrix and prestructured sample supports, termed: matrix layer (ML). This sample preparation is easy to use and results in a rapid automated MALDI-MS and MS/MS with high quality spectra acquisition. The between-spot variation was investigated using standard peptides and statistical treatment of data confirmed the improvement gained with the ML method. Furthermore, the sample preparation method proved to be highly sensitive, in the lower-attomole range for peptides, and we improved the performance of MALDI-MS/MS for characterization of phosphopeptides as well. The method is versatile for the routine analysis of in-gel tryptic digests thereby allowing for an improved protein sequence coverage. Furthermore, reliable protein identification can be achieved without the need of desalting sample preparation. We demonstrate the performance and the robustness of our method using commercially available reference proteins and automated MS and MS/MS analyses of in-gel digests from lung tissue lysate proteins separated by 2-DE.     

Comprehensive analysis of the N and C terminus of endogenous serum peptides reveals a highly conserved cleavage site pattern derived from proteolytic enzymes

The human serum proteome is closely associated with the state of the body. Endogenous peptides derived from proteolytic enzymes cleaving on serum proteins are widely studied due to their potential application in disease-specific marker discovery. However, the reproducibility of peptidome analysis of endogenous peptides is significantly influenced by the proteolytic enzymes within body fluids, thereby limiting the clinical use of the endogenous peptides. We comprehensively investigated the N and C terminus of endogenous peptides using peptidomics. The cleavage site patterns of the N and C terminus and adjacent sites from all the identified endogenous peptides were highly conserved under different sample preparation conditions, including long-term incubation at 37°C and pretreatment with repeated freeze-thaw cycles. Furthermore, a distinguishable cleavage site pattern was obtained when a different disease serum was analyzed. The conserved cleavage site pattern derived from proteolytic enzymes holds potential in highly specific disease diagnosis.     

Nanoflow liquid chromatography coupled to matrix-assisted laser desorption/ionization mass spectrometry: sample preparation, data analysis, and application to the analysis of complex peptide mixtures

We report the development of a robust interface for off-line coupling of nano liquid chromatography (LC) to matrix-assisted laser desorption/ionisation-mass spectrometry (MALDI-MS) and its application to the analysis of proteolytic digests of proteins, both isolated and in mixtures. The interface makes use of prestructured MALDI sample supports to concentrate the effluent to a small sample plate area and localize the MALDI sample to a predefined array, thereby enriching the analyte molecules and facilitating automated MALDI-MS analysis. Parameters that influence the preparation of MALDI samples from the LC effluent were evaluated with regard to detection sensitivity, spectra quality, and reproducibility of the method. A procedure for data processing is described. The presented nano LC MALDI-MS system allowed the detection of several peptides from a tryptic digest of bovine serum albumin, at analyzed amounts corresponding to one femtomole of the digested protein. For the identification of native proteins isolated from mouse brain by two-dimensional gel electrophoresis, nano LC MALDI-MS increased the number of detected peptides, thereby allowing identification of proteins that could not be identified by direct MALDI-MS analysis. The ability to identify proteins in complex mixtures was evaluated for the analysis of Escherichia coli 50S ribosomal subunit. Out of the 33 expected proteins, 30 were identified by MALDI tandem time of flight fragment ion fingerprinting.     

Expanding the chemical cross-linking toolbox by the use of multiple proteases and enrichment by size exclusion chromatography

Chemical cross-linking in combination with mass spectrometric analysis offers the potential to obtain low-resolution structural information from proteins and protein complexes. Identification of peptides connected by a cross-link provides direct evidence for the physical interaction of amino acid side chains, information that can be used for computational modeling purposes. Despite impressive advances that were made in recent years, the number of experimentally observed cross-links still falls below the number of possible contacts of cross-linkable side chains within the span of the cross-linker. Here, we propose two complementary experimental strategies to expand cross-linking data sets. First, enrichment of cross-linked peptides by size exclusion chromatography selects cross-linked peptides based on their higher molecular mass, thereby depleting the majority of unmodified peptides present in proteolytic digests of cross-linked samples. Second, we demonstrate that the use of proteases in addition to trypsin, such as Asp-N, can additionally boost the number of observable cross-linking sites. The benefits of both SEC enrichment and multiprotease digests are demonstrated on a set of model proteins and the improved workflow is applied to the characterization of the 20S proteasome from rabbit and Schizosaccharomyces pombe.     

Optimization for peptide sample preparation for urine peptidomics

Analysis of native or endogenous peptides in biofluids can provide valuable insights into disease mechanisms. Furthermore, the detected peptides may also have utility as potential biomarkers for non-invasive monitoring of human diseases. The non-invasive nature of urine collection and the abundance of peptides in the urine makes analysis by high-throughput ‘peptidomics’ methods , an attractive approach for investigating the pathogenesis of renal disease. However, urine peptidomics methodologies can be problematic with regards to difficulties associated with sample preparation. The urine matrix can provide significant background interference in making the analytical measurements that it hampers both the identification of peptides and the depth of the peptidomics read when utilizing LC-MS based peptidome analysis. We report on a novel adaptation of the standard solid phase extraction (SPE) method to a modified SPE (mSPE) approach for improved peptide yield and analysis sensitivity with LC-MS based peptidomics in terms of time, cost, clogging of the LC-MS column, peptide yield, peptide quality, and number of peptides identified by each method. Expense and time requirements were comparable for both SPE and mSPE, but more interfering contaminants from the urine matrix were evident in the SPE preparations (e.g., clogging of the LC-MS columns, yellowish background coloration of prepared samples due to retained urobilin, lower peptide yields) when compared to the mSPE method. When we compared data from technical replicates of 4 runs, the mSPE method provided significantly improved efficiencies for the preparation of samples from urine (e.g., mSPE peptide identification 82% versus 18% with SPE; p = 8.92E-05). Additionally, peptide identifications, when applying the mSPE method, highlighted the biology of differential activation of urine peptidases during acute renal transplant rejection with distinct laddering of specific peptides, which was obscured for most proteins when utilizing the conventional SPE method. In conclusion, the mSPE method was found to be superior to the conventional, standard SPE method for urine peptide sample preparation when applying LC-MS peptidomics analysis due to the optimized sample clean up that provided improved experimental inference from the confidently identified peptides.     

Urinary organic acid screening by solid-phase microextraction of the methyl esters

We developed a new sample preparation method for profiling organic acids in urine by GC or GC–MS. The method includes derivatisation of the organic acids directly in the aqueous urine using trimethyloxonium tetrafluoroborate as a methylating agent, extraction of the organic acid methyl esters from the urine by solid-phase microextraction, using a polyacrylate fiber with a thickness of 85 μm and transfer of the methyl esters into the GC or the GC–MS instrument. Desorption of the analytes takes place in the heated injection port. The proposed sample preparation is very simple. There is no need for any evaporation step and for the use of an organic solvent. The risk of contamination and the loss of analytes are minimized. The total sample preparation time prior to GC or GC–MS analysis is about 40 min, and therefore more rapid than other sample preparation procedures. The urinary organic acids are well separated by GC and 29 substances are identified by GC–MS.     

Analysis of antimicrobial peptide interactions with hybrid bilayer membrane systems using surface plasmon resonance

The lipid binding behaviour of the antimicrobial peptides magainin 1, melittin and the C-terminally truncated analogue of melittin (21Q) was studied with a hybrid bilayer membrane system using surface plasmon resonance. In particular, the hydrophobic association chip was used which is composed of long chain alkanethiol molecules upon which liposomes adsorb spontaneously to create a hybrid bilayer membrane surface. Multiple sets of sensorgrams with different peptide concentrations were generated. Linearisation analysis and curve fitting using numerical integration analysis were performed to derive estimates for the association (k(a)) and dissociation (k(d)) rate constants. The results demonstrated that magainin 1 preferentially interacted with negatively charged dimyristoyl-L-alpha-phosphatidyl-DL-glycerol (DMPG), while melittin interacted with both zwitterionic dimyristoyl-L-alpha-phosphatidylcholine and anionic DMPG. In contrast, the C-terminally truncated melittin analogue, 21Q, exhibited lower binding affinity for both lipids, showing that the positively charged C-terminus of melittin greatly influences its membrane binding properties. Furthermore the results also demonstrated that these antimicrobial peptides bind to the lipids initially via electrostatic interactions which then enhances the subsequent hydrophobic binding. The biosensor results were correlated with the conformation of the peptides determined by circular dichroism analysis, which indicated that high alpha-helicity was associated with high binding affinity. Overall, the results demonstrated that biosensor technology provides a new experimental approach to the study of peptide-membrane interactions through the rapid determination of the binding affinity of bioactive peptides for phospholipids.     

Rapid characterization of complex viscous samples at molecular levels by neutral desorption extractive electrospray ionization mass spectrometry

In this protocol, the sample (which could be a bulk or heterogeneous fluid, or a greasy surface) is treated with a neutral desorption (ND) sampling gas beam, and the resulting analyte mixtures are directly characterized by extractive electrospray ionization mass spectrometry (EESI-MS). The ND device can be specifically constructed such that the sampling gas beam is bubbled through the liquid sample (microjet sampling) or directed to impact the sample surface (e.g., for the analysis of a material like cheese). The ND-EESI-MS analysis process requires no sample pretreatment because it can tolerate an extremely complex matrix. ND-EESI-MS allows real-time, online chemical profiling of highly viscous samples under ambient conditions. Both volatile and nonvolatile analytes from viscous samples can easily be detected and quantified by ND-EESI-MS, thereby providing an MS-based analytical platform for multiple disciplines (e.g., for the food industry, for drug discovery, and for the biological and life sciences). Here we describe the ND-EESI-MS protocol for viscous sample analysis, including the experimental design, equipment setup, reagent preparation, data acquisition and analysis steps. The data collection process takes <1 min per sample, although the time required for the whole procedure, which largely depends on the experimental preparation processes, might be considerably longer.     

A Neural Infrastructure for Rhythmic Motor Patterns

It is possible to work out the neural circuity of many invertebrate central pattern generators (CPGs) thereby providing a basis for linking cellular processes to actual behaviors. This review summarizes the infrastructure of the two CPGs in the lobster stomatogastric ganglion in terms of circuitry, ionic conductances and chemical modulation by amines and peptides. Analysis of the circuit using modeling techniques including the use of electronic neurons closes the chapter.     

Selective protein removal and desalting using microchip CE

This paper describes the on-line sample pretreatment and analysis of proteins and peptides with a poly(methylmethacrylate) (PMMA) microfluidic device (IonChip). This chip consists of two hyphenated electrophoresis channels with integrated conductivity detectors. The first channel can be used for sample preconcentration and sample clean-up, while in the second channel the selected compounds are separated. Isotachophoresis (ITP) combined with zone electrophoresis (CZE) was used to preconcentrate a myoglobin sample by a factor of about 65 before injection into the second dimension and to desalt a mixture of six proteins with 100 mM NaCl. However, ITP-CZE could not be used for the removal of two proteins from a protein/peptide sample since the protein zone in the ITP step was too small to remove certain compounds. Therefore, we used CZE-CZE for the removal of proteins from a protein/peptide mixture, thereby injecting only the peptides into the second CZE separation channel.     

MALDI-imaging mass spectrometry - An emerging technique in plant biology

Recent advances in instrumentation and sample preparation have facilitated the mass spectrometric (MS) imaging of a large variety of biological molecules from small metabolites to large proteins. The technique can be applied at both the tissue and the single-cell level, and provides information regarding the spatial distribution of specific molecules. Nevertheless, the use of MS imaging in plant science remains far from routine, and there is still a need to adapt protocols to suit specific tissues. We present an overview of MALDI-imaging MS (MSI) technology and its use for the analysis of plant tissue. Recent methodological developments have been summarized, and the major challenges involved in using MALDI-MSI, including sample preparation, the analysis of metabolites and peptides, and strategies for data evaluation are all discussed. Some attention is given to the identification of differentially distributed compounds. To date, the use of MALDI-MSI in plant research has been limited. Examples include leaf surface metabolite maps, the characterization of soluble metabolite translocation in planta, and the profiling of protein/metabolite patterns in cereal grain cross-sections. Improvements to both sample preparation strategies and analytical platforms (aimed at both spectrum acquisition and post-acquisition analysis) will enhance the relevance of MALDI-MSI technology in plant research.     

Miniaturized solid-phase extraction and sample preparation for MALDI MS using a microfabricated integrated selective enrichment target

A microfabricated proteomic sample preparation and sample presentation device, Integrated Selective Enrichment Target, (ISET), comprising an array of 96 perforated nanovials is described. Each perforated nanovial can be filled with solid-phase extraction media for purification and concentration of peptides prior to matrix-assisted laser desorption/ionization mass spectrometry (MALDI MS). The validity of the ISET sample preparation is shown by analysis of low nM-pM standard samples, as well as biological samples. The ISET solid-phase extraction sample preparation was compared to ZipTip and MassPREP PROtarget sample preparation, demonstrating a superior performance with respect to number of detected peptides and signal intensity of detected peptides.     

Optimized nLC-MS workflow for laser capture microdissected breast cancer tissue

Reliable sample preparation is of utmost importance for comparative proteome analysis, particularly when investigating minute amounts of clinical specimens, such as laser capture microdissected tumor tissue. In this study, we present an optimized nanoLC-MS workflow specifically for the analysis of laser capture microdissected breast cancer tissue. Analytical performance of different laser capture microdissection (LCM) functions available on the PALM system, time dependent trypsin digestion efficiency, effect of sample preparation and digestion time on peptide modification, semi-tryptic peptides and missed cleavages were evaluated. Our results show that microdissection from uncoated glass slides results in protein degradation; that protease and phosphatase inhibitors do not result in detectable improvement in number of peptides or semi-tryptic peptides; and that digestion time longer than four hours drastically reduces the number of missed cleavages, but also increases the number of unexpectedly modified peptides. Overalkylation was the most dominant side-reaction, which significantly increased overnight (P=0.05). The latter effect could almost completely be reverted by the use of a quenching agent (P=0.001). Taken together, our results show that it is of importance to carefully control sample handling steps so that reliable protein identification and quantitation can be performed within comparative proteomics studies using LCM. This article is part of a Special Issue entitled: Proteomics: The clinical link.     

Analysis of secondary structure in proteins by chemical cross-linking coupled to MS

Chemical cross-linking is an attractive technique for the study of the structure of protein complexes due to its low sample consumption and short analysis time. Furthermore, distance constraints obtained from the identification of cross-linked peptides by MS can be used to construct and validate protein models. If a sufficient number of distance constraints are obtained, then determining the secondary structure of a protein can allow inference of the protein's fold. In this work, we show how the distance constraints obtained from cross-linking experiments can identify secondary structures within the protein sequence. Molecular modeling of alpha helices and beta sheets reveals that each secondary structure presents different cross-linking possibilities due to the topological distances between reactive residues. Cross-linking experiments performed with amine reactive cross-linkers with model alpha helix containing proteins corroborated the molecular modeling predictions. The cross-linking patterns established here can be extended to other cross-linkers with known lengths for the determination of secondary structures in proteins.     

Use of cryo-negative staining in tomographic reconstruction of biological objects: application to T4 bacteriophage

Recent advances in electron microscopy and image analysis techniques have resulted in the development of tomography, which makes possible the study of structures neither accessible to X-ray crystallography nor nuclear magnetic resonance. However, the use of tomography to study biological structures, ranging from 100 to 500 nm, requires developments in sample preparation and image analysis. Indeed, cryo-electron tomography present two major drawbacks: the low contrast of recorded images and the sample radiation damage. In the present work we have tested, on T4 bacteriophage samples, the use of a new preparation technique, cryo-negative staining, which reduces the radiation damage while preserving a high signal-to-noise ratio. Our results demonstrate that the combination of cryo-negative staining in tomography with standard cryo-microscopy and single particle analysis results in a methodological approach that could be useful in the study of biological structures ranging in the T4 bacteriophage size.     

Detection of peptides covalently modified with multiple fatty acids by MALDI-TOF mass spectrometry.

Analysis and characterization of membrane proteins and hydrophobic peptides by matrix-assisted laser desorption ionization time-of-flight (MALDI-TOF) mass spectrometry (MS) is a considerable challenge because of their lower ionization efficiency. Detergents are used to solubilize hydrophobic peptides and proteins. However, in MALDI-MS, the presence of detergents can cause considerable loss of signal intensity. The extent of interference depends on the matrix/sample preparation method and experimental conditions. In the present study, we have analyzed the MALDI response of multiple fatty acylated peptides in the presence of the matrices alpha-cyano-4-hydroxy cinnamic acid (HCCA) and 2,5-dihydroxy benzoic acid (DHB). The effect of adding the nonionic detergent n-octylglucoside (OG) was also examined. The presence of OG facilitated detection of tetrapalmitoylated peptide, particularly when HCCA was used as the matrix. When DHB was used as the matrix, good signal intensity was observed in the absence of OG. Lower laser pulse rate in the linear mode of analysis resulted in good signal intensity for the tetrapalmitoylated peptide. Conditions for obtaining good signal intensities for dipalmitoylated and N-myristoyl peptides with both HCCA and DHB as matrices were also investigated.     

Efficient sample processing for proteomics applications—Are we there yet?

The ability to solubilize and digest protein extracts and recover peptides with high efficiency is of paramount importance in proteomics. A novel proteomic sample preparation protocol by Krijgsveld and colleagues (Hughes et al, 2014) provides significant advantages by enabling all sample processing steps to be carried out in a single tube to minimize sample losses, thereby enhancing sensitivity, throughput, and scalability of proteomics analyses.     

Modeling an active conformation for linear peptides and design of a competitive inhibitor for HMG-CoA reductase

This study presents an approach that can be used to search for lead peptide candidates, including unconstrained structures in a recognized sequence. This approach was performed using the design of a competitive inhibitor for 3-hydroxy-3-methylglutaryl CoA reductase (HMGR). In a previous design for constrained peptides, a head-to-tail cyclic structure of peptide was used as a model of linear analog in searches for lead peptides with a structure close to an active conformation. Analysis of the conformational space occupied by the peptides suggests that an analogical approach can be applied for finding a lead peptide with an unconstrained structure in a recognized sequence via modeling a cycle using fixed residues of the peptide backbone. Using the space obtained by an analysis of the bioactive conformations of statins, eight cyclic peptides were selected for a peptide library based on the YVAE sequence as a recognized motif. For each cycle, the four models were assessed according to the design criterion ("V" parameter) applied for constrained peptides. Three cyclic peptides (FGYVAE, FPYVAE, and FFYVAE) were selected as lead cycles from the library. The linear FGYVAE peptide (IC(50) = 0.4 microM) showed a 1200-fold increase the inhibitory activity compared to the first isolated LPYP peptide (IC(50) = 484 microM) from soybean. Experimental analysis of the modeled peptide structures confirms the appropriateness of the proposed approach for the modeling of active conformations of peptides.