On the nature of the chemical noise in MALDI mass spectra

AbstractThe so-called “chemical noise background” imposes a major limit on the practical sensitivity of MALDI mass spectrometry. Typically, as the amount of material of interest subjected to MALDI analysis is reduced, the signal decreases to the point where it can no longer be differentiated from the chemical noise. Using a newly designed MALDI-ion trap mass spectrometer, we describe experiments intended to throw light on the nature of the chemical noise background and to reduce its effects. Single-stage mass spectrometric signals from peptides were observed to disappear into the noise when the amount of sample applied to the MALDI sample stage was decreased to less than a femtomole. At these low levels, analysis of the collision-induced fragmentation spectra revealed the presence of ions originating from the peptide as well as cluster ions that originate from the chemical noise. The fragmentation pattern arising from dissociation of the cluster species suggests that they are composed largely of matrix molecules. A significant fraction of these cluster ions can be dissociated at activation energies lower than the threshold for peptide fragmentation. We used this finding to collisionally pre-activate MALDI ions to remove a significant portion of the chemical noise from the spectrum, allowing us to obtain readily discernible single stage MS signals from 100 attomols of peptide. The strategy also yielded high quality MS/MS spectra from 100 attomols of peptide. Different possibilities of collisional pre-activation for improving sensitivity are considered

Exploring infrared wavelength matrix-assisted laser desorption/ionization of proteins with delayed-extraction time-of-flight mass spectrometry

AbstractWe report a study of the application of delayed extraction (DE) to infrared-wavelength matrix-assisted time-of-flight mass spectrometry (IR-MALDI-TOF-MS) of proteins. The shapes of the spectral peaks obtained with DE-IR-MALDI-MS are compared with those obtained from the same samples and matrix using continuous extraction (CE) IR-MALDI-MS. Application of DE results in significant improvements in the peak resolution, revealing spectral features (in proteins with molecular masses <12 kDa) that were not resolved in the corresponding CE-IR-MALDI mass spectra. Particularly significant is a series of peaks on the high mass side of the protonated protein peaks that arise through replacement of protons by adventitious sodium ions in the sample. We deduced that these sodium replacement species are a significant contributer to the broad tails (and resulting peak asymmetries) that are a feature of the DE-IR-MALDI mass spectra of proteins with molecular masses ≥17 kDa. The peak width reduction observed in IR-MALDI by DE suggests that, as in UV-MALDI, the initial velocity distribution for ions produced in the MALDI process contributes to the peak broadness in the CE mass spectra. In a systematic comparison between DE UV-MALDI and DE IR-MALDI, we determined that photochemical matrix adduction is present in UV-MALDI but absent in IR-MALDI. In addition, we find that protein ions produced by IR irradiation are less internally excited (i.e., cooler), exhibiting less fragmentation, more Na+ replacement and/or unspecified noncovalent adduction, and more heme adduction with apomyoglobin. Thus, IR-MALDI appears to be a softer means for producing gas-phase protein ions than is UV-MALDI. It will be of considerable practical interest to determine whether large protein ions produced by IR-MALDI are sufficiently cool to survive transport through reflecting TOF mass spectrometers (without loss of small neutral species such as H2O, NH3, and CO2) and the extended time periods required for detection by quadrupole ion trap and Fourier transform ion cyclotron resonance mass analyzers

“De novo” peptide sequencing by MALDI-quadrupole-ion trap mass spectrometry: a preliminary study

AbstractCollision-induced dissociation of singly charged peptide ions produced by resonant excitation in a matrix-assisted laser desorption/ionization (MALDI) ion trap mass spectrometer yields relatively low complexity MS/MS spectra that exhibit highly preferential fragmentation, typically occurring adjacent to aspartyl, glutamyl, and prolyl residues. Although these spectra have proven to be of considerable utility for database-driven protein identification, they have generally been considered to contain insufficient information to be useful for extensive de novo sequencing. Here, we report a procedure for de novo sequencing of peptides that uses MS/MS data generated by an in-house assembled MALDI-quadrupole-ion trap mass spectrometer (Krutchinsky, Kalkum, and Chait Anal. Chem. 2001, 73, 5066–5077). Peptide sequences of up 14 amino acid residues in length have been deduced from digests of proteins separated by SDS-PAGE. Key to the success of the current procedure is an ability to obtain MS/MS spectra with high signal-to-noise ratios and to efficiently detect relatively low abundance fragment ions that result from the less favorable fragmentation pathways. The high signal-to-noise ratio yields sufficiently accurate mass differences to allow unambiguous amino acid sequence assignments (with a few exceptions), and the efficient detection of low abundance fragment ions allows continuous reads through moderately long stretches of sequence. Finally, we show how the aforementioned preferential cleavage property of singly charged ions can be used to facilitate the de novo sequencing process

Collision induced decomposition of peptides. Choice of collision parameters

Collision-induced dissociation product ion spectra of a series of doubly charged tryptic peptide ions produced by electrospray ionization were obtained by triple-quadrupole tandem mass spectrometry. The sequence information content of the product ion spectra was explored as a function of collision energy and collision-cell gas pressure for parent ions with molecular masses ranging from 300 to 2000 u. The energy range (at a given pressure) in which the degree of fragmentation is acceptable was found to be narrow for parent ions of a given mass, and the optimal collision energy was observed to exhibit a strong linear correlation with parent ion mass. This observed correlation opens the way for on-line software-controled selection of optimal mass spectrometric conditions in the enzymatic digestion-liquid chromatography-tandem mass spectrometric strategy of amino acid sequencing of proteins

Prediction of Cyclin-Dependent Kinase Phosphorylation Substrates

Protein phosphorylation, mediated by a family of enzymes called cyclin-dependent kinases (Cdks), plays a central role in the cell-division cycle of eukaryotes. Phosphorylation by Cdks directs the cell cycle by modifying the function of regulators of key processes such as DNA replication and mitotic progression. Here, we present a novel computational procedure to predict substrates of the cyclin-dependent kinase Cdc28 (Cdk1) in the Saccharomyces cerevisiae. Currently, most computational phosphorylation site prediction procedures focus solely on local sequence characteristics. In the present procedure, we model Cdk substrates based on both local and global characteristics of the substrates. Thus, we define the local sequence motifs that represent the Cdc28 phosphorylation sites and subsequently model clustering of these motifs within the protein sequences. This restraint reflects the observation that many known Cdk substrates contain multiple clustered phosphorylation sites. The present strategy defines a subset of the proteome that is highly enriched for Cdk substrates, as validated by comparing it to a set of bona fide, published, experimentally characterized Cdk substrates which was to our knowledge, comprehensive at the time of writing. To corroborate our model, we compared its predictions with three experimentally independent Cdk proteomic datasets and found significant overlap. Finally, we directly detected in vivo phosphorylation at Cdk motifs for selected putative substrates using mass spectrometry

Detection of secreted peptides by using hypothesis-driven multistage mass spectrometry

A method is presented for the rapid detection and characterization of trace amounts of peptides secreted from microorganisms, including pheromones, virulence factors, and quorum-sensing peptides. The procedure, based on targeted multistage MS, uses a novel matrix-assisted laser desorptionionization-ion trap mass spectrometer to overcome limitations of current MS methods (limited dynamic range, signal suppression effects, and chemical noise) that impair observation of low abundance peptides from complex biological matrixes. Here, secreted peptides that are hypothesized to be present in the supernatant, but that may not be sufficiently abundant to be observed in single-stage mass spectra, are subjected to multistage MS. Highly specific fragmentation signatures enable unambiguous identification of the peptides of interest and differentiation of the signals from the background. As examples, we demonstrate the rapid (<1 min) determination of the mating type of cells in colonies of Saccharomyces cerevisiae and the elucidation of autoinducing peptides (AIPs) from supernatants of pathogenic Staphylococci. We confirm the primary structures of the agrD encoded cyclic AIPs of Staphylococcus aureus for groups I, II, and IV and provide direct evidence that the native group-III AIP is a heptapeptide (INCDFLL). We also show that the homologous peptide from Staphylococcus intermedius is a nonapeptide (RIPTSTGFF) with a lactone ring formed through condensation of the serine side chain with the C terminus of the peptide. This is the first demonstration of cyclization in a staphylococcal AIP that occurs via lactone formation. These examples demonstrate the analytical power of the present procedure for characterizing secreted peptides and its potential utility for identifying microorganisms

Architecture of a host–parasite interface: complex targeting mechanisms revealed through proteomics

Surface membrane organization and composition is key to cellular function, and membrane proteins serve many essential roles in endocytosis, secretion, and cell recognition. The surface of parasitic organisms, however, is a double-edged sword; this is the primary interface between parasites and their hosts, and those crucial cellular processes must be carried out while avoiding elimination by the host immune defenses. For extracellular African trypanosomes, the surface is partitioned such that all endo- and exocytosis is directed through a specific membrane region, the flagellar pocket, in which it is thought the majority of invariant surface proteins reside. However, very few of these proteins have been identified, severely limiting functional studies, and hampering the development of potential treatments. Here we used an integrated biochemical, proteomic and bioinformatic strategy to identify surface components of the human parasite Trypanosoma brucei. This surface proteome contains previously known flagellar pocket proteins as well as multiple novel components, and is significantly enriched in proteins that are essential for parasite survival. Molecules with receptor-like properties are almost exclusively parasite-specific, whereas transporter-like proteins are conserved in model organisms. Validation shows that the majority of surface proteome constituents are bona fide surface-associated proteins and, as expected, most present at the flagellar pocket. Moreover, the largest systematic analysis of trypanosome surface molecules to date provides evidence that the cell surface is compartmentalized into three distinct domains with free diffusion of molecules in each, but selective, asymmetric traffic between. This work provides a paradigm for the compartmentalization of a cell surface and a resource for its analysis

Proteomic analysis of the mammalian nuclear pore complex

As the sole site of nucleocytoplasmic transport, the nuclear pore complex (NPC) has a vital cellular role. Nonetheless, much remains to be learned about many fundamental aspects of NPC function. To further understand the structure and function of the mammalian NPC, we have completed a proteomic analysis to identify and classify all of its protein components. We used mass spectrometry to identify all proteins present in a biochemically purified NPC fraction. Based on previous characterization, sequence homology, and subcellular localization, 29 of these proteins were classified as nucleoporins, and a further 18 were classified as NPC-associated proteins. Among the 29 nucleoporins were six previously undiscovered nucleoporins and a novel family of WD repeat nucleoporins. One of these WD repeat nucleoporins is ALADIN, the gene mutated in triple-A (or Allgrove) syndrome. Our analysis defines the proteome of the mammalian NPC for the first time and paves the way for a more detailed characterization of NPC structure and function