Collision energy optimization of b- and y-ions for multiple reaction monitoring mass spectrometry.

Multiple reaction monitoring (MRM) is a highly sensitive and increasingly popular method of targeted mass spectrometry (MS) that can be used to selectively detect and quantify peptides and their corresponding proteins of interest within biological samples. The sensitivity of MRM-MS is highly dependent upon the tuning of transition-specific parameters, especially the collision energy (CE) applied during peptide fragmentation. Currently, empirical equations for CE work best for y-type ions and are much less effective for other types of transitions, such as b-type ions and small y-type transitions across particular amide bonds, which could also be useful for MRM-MS if optimized for maximum signal transmission. In this work, we have performed a CE optimization of all transitions for 80 doubly charged peptides, the results of which were used to define separate CE equations for b-ions and y-ions, as well as for small y-type ions derived from the fragmentation of amide bonds bounded on the amino-terminal side by aspartic or glutamic acid residues (D/E-X transitions). This analysis yielded four major observations: (1) b-ions tend to require lower collision energies than y-ions for optimal fragmentation, while D/E-X transitions tend to require more; (2) CE equations predict the optimal CEs more closely when product ion m/z dependence is included, in addition to the current standard of precursor ion m/z dependence; (3) separate CE equations for y-ions, b-ions, and D/E-X transitions are more effective than the previous one-size-fits-all equations, but best results are achieved by optimizing transitions individually; and (4) while b-ions gain substantial signal from CE optimization-often increases of several-fold-they still tend to rank lower than y-ions from the same peptide. These results confirm the notion that y-ions are usually the first-choice transitions for MRM experiments but also demonstrate, for the first time, that b-ions can be viable targets as well, if the proper collision energies are used.

MaRiMba: a software application for spectral library-based MRM transition list assembly.

Multiple reaction monitoring mass spectrometry (MRM-MS) is a targeted analysis method that has been increasingly viewed as an avenue to explore proteomes with unprecedented sensitivity and throughput. We have developed a software tool, called MaRiMba, to automate the creation of explicitly defined MRM transition lists required to program triple quadrupole mass spectrometers in such analyses. MaRiMba creates MRM transition lists from downloaded or custom-built spectral libraries, restricts output to specified proteins or peptides, and filters based on precursor peptide and product ion properties. MaRiMba can also create MRM lists containing corresponding transitions for isotopically heavy peptides, for which the precursor and product ions are adjusted according to user specifications. This open-source application is operated through a graphical user interface incorporated into the Trans-Proteomic Pipeline, and it outputs the final MRM list to a text file for upload to MS instruments. To illustrate the use of MaRiMba, we used the tool to design and execute an MRM-MS experiment in which we targeted the proteins of a well-defined and previously published standard mixture.

Wavelength-dependent backscattering measurements for quantitative real-time monitoring of apoptosis in living cells.

Apoptosis--programmed cell death--is a cellular process exhibiting distinct biochemical and morphological changes. An understanding of the early morphological changes that a cell undergoes during apoptosis can provide the opportunity to monitor apoptosis in tissue, yielding diagnostic and prognostic information. There is avid interest regarding the involvement of apoptosis in cancer. The initial response of a tumor to successful cancer treatment is often massive apoptosis. Current apoptosis detection methods require cell culture disruption. Our aim is to develop a nondisruptive optical method to monitor apoptosis in living cells and tissues. This would allow for real-time evaluation of apoptotic progression of the same cell culture over time without alteration. Elastic scattering spectroscopy (ESS) is used to monitor changes in light-scattering properties of cells in vitro due to apoptotic morphology changes. We develop a simple instrument capable of wavelength-resolved ESS measurements from cell cultures in the backward direction. Using Mie theory, we also develop an algorithm that extracts the size distribution of scatterers in the sample. The instrument and algorithm are validated with microsphere suspensions. For cell studies, Chinese hamster ovary (CHO) cells are cultured to confluence on plates and are rendered apoptotic with staurosporine. Backscattering measurements are performed on pairs of treated and control samples at a sequence of times up to 6-h post-treatment. Initial results indicate that ESS is capable of discriminating between treated and control samples as early as 10- to 15-min post-treatment, much earlier than is sensed by standard assays for apoptosis. Extracted size distributions from treated and control samples show a decrease in Rayleigh and 150-nm scatterers, relative to control samples, with a corresponding increase in 200-nm particles. Work continues to correlate these size distributions with underlying morphology. To our knowledge, this is the first report of the use of backscattering spectral measurements to quantitatively monitor apoptosis in viable cell cultures in vitro.

Proteomic analyses using Grifola frondosa metalloendoprotease Lys-N.

Proteomic analysis typically has been performed using proteins digested with trypsin because of the excellent fragmentation patterns they produce in collision induced dissociation (CID). For analyses in which high protein coverage is desirable, such as global monitoring of post-translational modifications, additional sequences can be seen using parallel digestion with a second enzyme. We have benchmarked a relatively obscure basidomycete-derived zinc metalloendopeptidase, Lys-N, that selectively cleaves the amide bond N-terminal of lysine residues. We have found that Lys-N digestion yields peptides with easily assigned CID spectra. Using a mixture of purified proteins as well as a complex yeast lysate, we have shown that Lys-N efficiently digests all proteins at the predicted sites of cleavage. Shotgun proteomics analyses of Lys-N digests of both the standard mixture and yeast lysate yielded peptide and protein identification numbers that were generally comparable to trypsin digestion, whereas the combination data from Lys-N and trypsin digestion substantially enhanced protein coverage. During CID fragmentation, the additional amino terminal basicity enhanced b-ion intensity which was reflected in long b-ion tags that were particularly pronounced during CID in a quadrupole. Finally, immonium ion peaks produced from Lys-N digested peptides originate from the carboxy terminus in contrast to tryptic peptides where immonium ions originate from the amino terminus.

Rapid optimization of MRM-MS instrument parameters by subtle alteration of precursor and product m/z targets.

Multiple reaction monitoring (MRM) is a highly sensitive method of targeted mass spectrometry (MS) that can be used to selectively detect and quantify peptides based on the screening of specified precursor peptide-to-fragment ion transitions. MRM-MS sensitivity depends critically on the tuning of instrument parameters, such as collision energy and cone voltage, for the generation of maximal product ion signal. Although generalized equations and values exist for such instrument parameters, there is no clear indication that optimal signal can be reliably produced for all types of MRM transitions using such an algorithmic approach. To address this issue, we have devised a workflow functional on both Waters Quattro Premier and ABI 4000 QTRAP triple quadrupole instruments that allows rapid determination of the optimal value of any programmable instrument parameter for each MRM transition. Here, we demonstrate the strategy for the optimizations of collision energy and cone voltage, but the method could be applied to other instrument parameters, such as declustering potential, as well. The workflow makes use of the incremental adjustment of the precursor and product m/z values at the hundredth decimal place to create a series of MRM targets at different collision energies that can be cycled through in rapid succession within a single run, avoiding any run-to-run variability in execution or comparison. Results are easily visualized and quantified using the MRM software package Mr. M to determine the optimal instrument parameters for each transition.

Correlation between y-type ions observed in ion trap and triple quadrupole mass spectrometers.

Multiple reaction monitoring mass spectrometry (MRM-MS) is a technique for high-sensitivity targeted analysis. In proteomics, MRM-MS can be used to monitor and quantify a peptide based on the production of expected fragment peaks from the selected peptide precursor ion. The choice of which fragment ions to monitor in order to achieve maximum sensitivity in MRM-MS can potentially be guided by existing MS/MS spectra. However, because the majority of discovery experiments are performed on ion trap platforms, there is concern in the field regarding the generalizability of these spectra to MRM-MS on a triple quadrupole instrument. In light of this concern, many operators perform an optimization step to determine the most intense fragments for a target peptide on a triple quadrupole mass spectrometer. We have addressed this issue by targeting, on a triple quadrupole, the top six y-ion peaks from ion trap-derived consensus library spectra for 258 doubly charged peptides from three different sample sets and quantifying the observed elution curves. This analysis revealed a strong correlation between the y-ion peak rank order and relative intensity across platforms. This suggests that y-type ions obtained from ion trap-based library spectra are well-suited for generating MRM-MS assays for triple quadrupoles and that optimization is not required for each target peptide.