Hybrid mass spectrometers for tandem mass spectrometry

Recent advances in shotgun lipidomics and their implication for vision research and ophthalmology

In the past decade, mass spectrometry (MS) has made tremendous advances toward the profiling and identification of lipids from biological samples. MS is attractive for the simplicity it offers toward total profiling of lipids, the identification and characterization of individual entities directly after extraction from complex biological mixtures utilizing an infusion mode. Fundamentally, two types of mass analyzers exist, depending upon whether the fragment ion resolution and analysis occurs in space domain or in time domain within the mass spectrometer. Compared to MS, chromatographic methods are cumbersome. Nuclear magnetic resonance, which provides unequivocal elucidation of structures, necessitates much higher absolute amount and demands purity of lipids. We present here an account of recent developments in class-specific lipid identification strategies, targeted and untargeted lipid analyses, identification and de novo structure elucidation using mass spectrometric and combinatorial chemical derivatization and MS. We have reviewed the strategies with emphasis for spatial domain fragment resolution mass analyzers enabling analysis of lipids in a class-specific manner. We also provide a brief account of database and bioinformatic tools that have been recently developed toward profiling, identification and quantification of lipids in complex biological mixtures.

Bioinformatics tools and challenges in structural analysis of lipidomics MS/MS data

Lipidomics, the systematic study of the lipid composition of a cell or tissue, is an invaluable complement to knowledge gained by genomics and proteomics research. Mass spectrometry provides a means to detect hundreds of lipids in parallel, and this includes low abundance species of lipids. Nevertheless, frequently occurring isobaric and isomeric lipid species complicate lipidomics analyses from an analytical and bioinformatics perspective. Various MS/MS strategies have evolved to resolve ambiguous identifications of lipid species, and these strategies have been supported by corresponding bioinformatics analysis tools. This review intends to familiarize readers with available bioinformatics MS/MS analysis tools and databases, the structural information obtainable from these, and their applicability to different MS/MS strategies. Finally, future challenges in detecting double bond positions are investigated from a bioinformatics perspective.

Proteomics and pluripotency

The fields of mass spectrometry (MS) and stem cell biology have expanded greatly in the past twenty years. Taken alone, these fields occupy entirely different branches of science; however, the points where they overlap provide valuable insight, both in the biological and technical arenas. From a biological perspective, MS-based proteomics offers the capacity to follow post-transcriptional regulation and signaling that are (1) fundamental to pluripotency and differentiation, (2) largely beyond the reach of genomic technologies, and (3) otherwise difficult or impossible to examine on a large scale. At the same time, addressing questions fundamental to stem cell biology has compelled proteomic researchers to pursue more sensitive and creative ways to probe the proteome, both in a targeted and high-throughput manner. Here, we highlight experiments that straddle proteomics and stem cell biology, with an emphasis on studies that apply mass spectrometry to dissect pluripotency and differentiation.

Shotgun lipidomics on high resolution mass spectrometers

Despite their compositional complexity, lipidomes comprise a large number of isobaric species that cannot be distinguished by conventional low resolution mass spectrometry and therefore in-depth MS/MS analysis was required for their accurate quantification. Here we argue that the progress in high resolution mass spectrometry is changing the concept of lipidome characterization. Because exact masses of isobaric species belonging to different lipid classes are not necessarily identical, they can now be distinguished and directly quantified in total lipid extracts. By streamlining and simplifying the molecular characterization of lipidomes, high resolution mass spectrometry has developed into a generic tool for cell biology and molecular medicine.

A novel informatics concept for high-throughput shotgun lipidomics based on the molecular fragmentation query language

Shotgun lipidome profiling relies on direct mass spectrometric analysis of total lipid extracts from cells, tissues or organisms and is a powerful tool to elucidate the molecular composition of lipidomes. We present a novel informatics concept of the molecular fragmentation query language implemented within the LipidXplorer open source software kit that supports accurate quantification of individual species of any ionizable lipid class in shotgun spectra acquired on any mass spectrometry platform.

Advances in structure elucidation of small molecules using mass spectrometry

The structural elucidation of small molecules using mass spectrometry plays an important role in modern life sciences and bioanalytical approaches. This review covers different soft and hard ionization techniques and figures of merit for modern mass spectrometers, such as mass resolving power, mass accuracy, isotopic abundance accuracy, accurate mass multiple-stage MS(n) capability, as well as hybrid mass spectrometric and orthogonal chromatographic approaches. The latter part discusses mass spectral data handling strategies, which includes background and noise subtraction, adduct formation and detection, charge state determination, accurate mass measurements, elemental composition determinations, and complex data-dependent setups with ion maps and ion trees. The importance of mass spectral library search algorithms for tandem mass spectra and multiple-stage MS(n) mass spectra as well as mass spectral tree libraries that combine multiple-stage mass spectra are outlined. The successive chapter discusses mass spectral fragmentation pathways, biotransformation reactions and drug metabolism studies, the mass spectral simulation and generation of in silico mass spectra, expert systems for mass spectral interpretation, and the use of computational chemistry to explain gas-phase phenomena. A single chapter discusses data handling for hyphenated approaches including mass spectral deconvolution for clean mass spectra, cheminformatics approaches and structure retention relationships, and retention index predictions for gas and liquid chromatography. The last section reviews the current state of electronic data sharing of mass spectra and discusses the importance of software development for the advancement of structure elucidation of small molecules. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1007/s12566-010-0015-9) contains supplementary material, which is available to authorized users.

Mass spectrometry-based clinical proteomics: head-and-neck cancer biomarkers and drug-targets discovery

Mass spectrometry (MS)-based proteomics is a rapidly developing technology for both qualitative and quantitative analyses of proteins, and investigations into protein posttranslational modifications, subcellular localization, and interactions. Recent advancements in MS have made tremendous impact on the throughput and comprehensiveness of cancer proteomics, paving the way to unraveling deregulated cellular pathway networks in human malignancies. In turn, this knowledge is rapidly being translated into the discovery of novel potential cancer markers (PCMs) and targets for molecular therapeutics. Head-and-neck cancer is one of the most morbid human malignancies with an overall poor prognosis and severely compromised quality of life. Early detection and novel therapeutic strategies are urgently needed for more effective disease management. The characterizations of protein profiles of head-and-neck cancers and non-malignant tissues, with unprecedented sensitivity and precision, are providing technology platforms for identification of novel PCMs and drug targets. Importantly, low-abundance proteins are being identified and characterized, not only from the tumor tissues, but also from bodily fluids (plasma, saliva, and urine) in a high-throughput and unbiased manner. This review is a critical appraisal of recent advances in MS-based proteomic technologies and platforms for facilitating the discovery of biomarkers and novel drug targets in head-and-neck cancer. A major challenge in the discovery and verification of these cancer biomarkers is the typically limited availability of well-characterized and adequately stored clinical samples in tumor and sera banks, collected using recommended procedures, and with detailed information on clinical, pathological parameters, and follow-up. Most biomarker discovery studies use limited number of clinical samples and verification of cancer markers in large number of samples is beyond the scope of a single laboratory. The validation of these potential markers in large sample cohorts in multicentric studies is needed for their translation from the bench to the bedside.

Lipidomics: coming to grips with lipid diversity

Although lipids are biomolecules with seemingly simple chemical structures, the molecular composition of the cellular lipidome is complex and, currently, poorly understood. The exact mechanisms of how compositional complexity affects cell homeostasis and its regulation also remain unclear. This emerging field is developing sensitive mass spectrometry technologies for the quantitative characterization of the lipidome. Here, we argue that lipidomics will become an essential tool kit in cell and developmental biology, molecular medicine and nutrition.

Protocols for peptidomic analysis of spider venoms

Spider venom contains a complex mixture of components with a large range of molecular masses (0.1-60 kDa) exhibiting a diverse array of actions. Most of these components are proteinaceous molecules - biologically active proteins and peptides. Proteomics profiling of spider venoms (the components with MW >10 kDa) could be achieved through conventional 2-DE-based proteomics methods combined with MS or MS/MS detection. Peptidomic profiling (of the components with MW below ~10 kDa) is usually achieved through off-line separation by a combination of ion-exchange and reverse-phase chromatography, and it relies more heavily on de novo sequencing by Edman degradation or MS/MS for peptide identification.

Ion trap mass analysis at high pressure: an experimental characterization

In recent years, it has become increasingly interesting to understand the performance of mass spectrometers at pressures much higher than those employed with conventional operating conditions. This interest has been driven by several influences, including demand for the development of reduced-power miniature mass spectrometers, desire for improved ion transfer into and through mass spectrometers, enhanced-yield preparative mass separations, and mass filtering at the atmospheric pressure interface. In this study, an instrument was configured to allow for the performance characterization of a rectilinear ion trap (RIT) at pressures up to 50 mtorr with air used as the buffer gas. The mass analysis efficiency, mass resolution, isolation efficiency, and collision-induced dissociation (CID) efficiency were evaluated at pressures ranging from 1 to 50 mtorr. The extent of degradation of mass resolution, isolation efficiency and ion stability as functions of pressure were characterized. Also, the optimal resonance ejection conditions were obtained at various pressures. Operations at 50 mtorr demonstrated improved CID efficiency in addition to peak widths of 2 and 5 m/z units (full width at half-maximum, FWHM) for protonated caffeine (m/z 195) and Ultramark (m/z 1521) respectively.

Proteomics and opportunities for clinical translation in urological disease

PURPOSE

Proteomics is a rapidly growing new discipline that has the potential to increase and improve the understanding of protein function and interaction in the context of systems biology. As a translational science it has the potential to identify many new therapeutic targets as well as diagnostic and prognostic biomarkers of disease. Proteomics approaches consist of a combination of powerful technologies such as protein/peptide separation, identification and bioinformatic detection, and quantitation based on powerful computational data processing tools. We present an overview of current proteomics technologies, a review of proteomics applications in urology and a perspective on the future of proteomics in clinical medicine.

MATERIALS AND METHODS

A literature search was performed on the basic concepts of proteomics and technologies commonly used in this field. Advantages, challenges and limitations of current proteomics approaches are discussed, and proteomics applications in the field of urology are presented.

RESULTS

The proteomics approaches to answer clinical questions have only recently been introduced. Many different technologies have been used in this field, which is moving from simple description to quantitative clinical applications.

CONCLUSIONS

Proteomics offers new approaches to the study of genitourinary tract diseases, and the potential to identify clinically relevant biomarkers and new therapeutic targets.

Analytical strategies for LC-MS-based targeted metabolomics

Recent advances in mass spectrometry are enabling improved analysis of endogenous metabolites. Here we discuss several issues relevant to developing liquid chromatography-electrospray ionization-mass spectrometry methods for targeted metabolomics (i.e., quantitative analysis of dozens to hundreds of specific metabolites). Sample preparation and liquid chromatography approaches are discussed, with an eye towards the challenge of dealing with a diversity of metabolite classes in parallel. Evidence is presented that heated electrospray ionization (ESI) generally gives improved signal compared to the more traditional unheated ESI. Applicability to targeted metabolomics of triple quadrupole mass spectrometry operating in multiple reaction monitoring (MRM) mode and high mass resolution full scan mass spectrometry (e.g., time-of-flight, Orbitrap) are described. We suggest that both are viable solutions, with MRM preferred when targeting a more limited number of analytes, and full scan preferred for its potential ability to bridge targeted and untargeted metabolomics.