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The enormous complexity of the central nervous system has impeded its systemic exploration for decades but powerful “omic” technologies are now pushing forward the frontiers of neuroscience research at an increasing pace. This Primer reviews the most recent progress in mass spectrometry (MS)-based proteomics, focusing on the analysis of whole proteomes, protein-based interactions, and post-translational modifications. We also discuss how advanced workflows help to unravel spatial, regulatory, and temporal aspects of neuronal systems. These tools and approaches have already led to detailed and quantitative proteomic maps of the brain and its signaling architecture, generating new insights into health and disease. We predict that these new approaches will also accelerate biomarker discovery and contribute to novel therapeutics for neurodegenerative and other brain-related diseases. [ABSTRACT FROM AUTHOR]

PREMISE OF THE STUDY: Understanding the origin of ecosystems and their changes through time is important. Two mutually contrasting types of grasslands existed in the Arctic: dry- and cold-adapted grasslands of the Pleistocene dominated by Poaceae species, and presently dominating graminoid grasslands composed of sedges and rushes. We studied the taxon recruitment of the Arctic fl ora for Carex , the most species-rich and widespread genus of the Arctic. In this study we explore the possible geographical and altitudinal origins of the species, their ecological provenance in terms of soil moisture and light requirements, and salt tolerance. METHODS: We addressed these questions in a phylogenetic context using the latest megaphylogeny of Carex comprising almost all Arctic species and about half of the genus’ total species diversity. Ecological data were extracted from the literature and analyzed for each clade comprising Arctic species. KEY RESULTS: Arctic Carex species were observed in 48 independent lineages. Almost all areas north of the meridional zone of the Northern Hemisphere may have served as sources of Arctic lineages. Source areas are unrelated to the distribution within the Arctic. Arctic species evolved in lowland and high mountain clades; mostly in wet, rarely in dry adapted clades that occur principally in open conditions. Salt tolerant Arctic species occur in fi ve clades. CONCLUSIONS: Many independent lineages of diff erent geographical areas and ecological backgrounds provided species for the northernmost ecosystem; clear main sources were not discernible. Carex shows the whole dynamic of ecosystem assembly from a seemingly simple immigration of preadapted species, evolution in geographical distant areas, to species radiations in the North. [ABSTRACT FROM AUTHOR]

Background: Eggshell mineralization in commercially important species such as chicken, turkey or quail is of interest as a general model of calcium carbonate biomineralization. Knowledge of proteins and molecular mechanisms in eggshell assembly may also pave the way to manipulation of thickness of the calcified layer or other features. Comparison of eggshell matrix proteomes of different species may contribute to a better understanding of the mineralization process. The recent publication of the quail genome sequence now enables the proteomic analysis of the quail shell matrix and this comparison with those of chicken and turkey. Results: The quail eggshell proteome comprised 622 identified proteins, 311 of which were shared with chicken and turkey eggshell proteomes. Forty-eight major proteins (iBAQ-derived abundance higher than 0.1 % of total identified proteome) together covered 94 % of total proteome mass. Fifteen of these are also among the most abundant proteins in chicken and turkey eggshell matrix. Only three proteins with a percentage higher than 1.0 % of the total had not previously been identified as eggshell matrix proteins. These were an uncharacterized member of the latexin family, an uncharacterized protease inhibitor containing a Kunitz domain, and gastric intrinsic factor. The most abundant proteins were ovocleidin-116, ovalbumin and ovocalyxin-36 representing approximately 31, 13 and 8 % of the total identified proteome, respectively. The major phosphoproteins were ovocleidin-116 and osteopontin. While osteopontin phosphorylation sites were predominantly conserved between chicken and quail sequences, conservation was less in ovocleidin-116. Conclusions: Ovocleidin-116 and ovocalyxin-36 are among the most abundant eggshell matrix proteins in all three species of the family Phasianidae analyzed so far, indicating that their presently unknown function is essential for eggshell mineralization. Evidence for other chicken eggshell-specific proteins in quail was inconclusive. Therefore measurement of additional eggshell proteomes, especially from species of different families and preferentially from outside the order Galliformes, will be necessary. [ABSTRACT FROM AUTHOR]

Background: Chicken eggshell mineralization is a prominent model for biomineralization not only because of its importance for avian reproduction but also because of the commercial interest associated with eggshell quality. An analysis and comparison of the protein constituents of eggshells of several species would contribute to a better understanding of the shell mineralization process. The recent publication of the turkey genome sequence now provides a basis for the in-depth analysis of the turkey eggshell proteome. Results: Proteomic analysis of turkey acid-soluble and acid-insoluble organic eggshell matrix yielded 697 identified proteins/protein groups. However, intensity-based absolute quantification (iBAQ) results indicated that the 47 most abundant identified proteins already constituted 95% of the total turkey eggshell matrix proteome. Forty-four of these proteins were also identified in chicken eggshell matrix previously. Despite these similarities there were important and unexpected differences. While ovocleidin-116 and ovocalyxin-36 were major proteins constituting approximately 37% of the identified proteome, other members of the group of so-called eggshell-specific proteins were not identified. Thus ovocalyxin-21 and ovocalyxin-32 were missing among matrix proteins. Conversely, major turkey eggshell proteins were not detected in chicken, such as the bone protein periostin, the mammalian counterpart of which is involved in many aspects of bone metabolism and which represented 10-11% of the total identified proteome. Conclusions: Even members of the same avian family show important differences in eggshell matrix composition and more studies on the proteome and the transcriptome level will be necessary to identify a common toolkit of eggshell mineralization and to work out species differences among functional eggshell protein sets and their role in eggshell production. [ABSTRACT FROM AUTHOR]

High-resolution mass spectrometry (MS)-based proteomics has progressed tremendously over the years. For model organisms like yeast, we can now quantify complete proteomes in just a few hours. Developments discussed in this Perspective will soon enable complete proteome analysis of mammalian cells, as well, with profound impact on biology and biomedicine. [ABSTRACT FROM AUTHOR]

Quantitative proteomics now provides abundance ratios for thousands of proteins upon perturbations. These need to be functionally interpreted and correlated to other types of quantitative genome-wide data such as the corresponding transcriptome changes. We describe a new method, 2D annotation enrichment, which compares quantitative data from any two 'omics' types in the context of categorical annotation of the proteins or genes. Suitable genome-wide categories are membership of proteins in biochemical pathways, their annotation with gene ontology terms, sub-cellular localization, the presence of protein domains or membership in protein complexes. 2D annotation enrichment detects annotation terms whose members show consistent behavior in one or both of the data dimensions. This consistent behavior can be a correlation between the two data types, such as simultaneous up- or down-regulation in both data dimensions, or a lack thereof, such as regulation in one dimension but no change in the other. For the statistical formulation of the test we introduce a two-dimensional generalization of the nonparametric two-sample test. The false discovery rate is stringently controlled by correcting for multiple hypothesis testing. We also describe one-dimensional annotation enrichment, which can be applied to single omics data. The 1D and 2D annotation enrichment algorithms are freely available as part of the Perseus software. [ABSTRACT FROM AUTHOR]

Systems biology requires comprehensive data at all molecular levels. Mass spectrometry (MS)-based proteomics has emerged as a powerful and universal method for the global measurement of proteins. In the most widespread format, it uses liquid chromatography (LC) coupled to high-resolution tandem mass spectrometry (MS//MS) to identify and quantify peptides at a large scale. This peptide intensity information is the basic quantitative proteomic data type. It is used to quantify proteins between different proteome states, including the temporal variation of the proteome, to determine the complete primary structure of proteins including posttranslational modifications, to localize proteins to organelles, and to determine protein interactions. Here, we describe the principles of analysis and the areas of biology where proteomics can make unique contributions. The large-scale nature of proteomics data and its high accuracy pose special opportunities as well as challenges in systems biology that have been largely untapped so far. [ABSTRACT FROM AUTHOR]

Abstract: Large-scale proteomic screens are increasingly employed for placing genes into specific pathways. Therefore generic methods providing a physiological context for protein–protein interaction studies are of great interest. In recent years many protein–protein interactions have been determined by affinity purification followed by mass spectrometry (AP–MS). Among many different AP–MS approaches, the recently developed Quantitative BAC InteraCtomics (QUBIC) approach is particularly attractive as it uses tagged, full-length baits that are expressed under endogenous control. For QUBIC large cell line collections expressing tagged proteins from BAC transgenes or gene trap loci have been developed and are freely available. Here we describe detailed workflows on how to obtain specific protein binding partners with high confidence under physiological conditions. The methods are based on fast, streamlined and generic purification procedures followed by single run liquid chromatography–mass spectrometric analysis. Quantification is achieved either by the stable isotope labeling of amino acids in cell culture (SILAC) method or by a ‘label-free’ procedure. In either case data analysis is performed by using the freely available MaxQuant environment. The QUBIC approach enables biologists with access to high resolution mass spectrometry to perform small and large-scale protein interactome mappings. [Copyright &y& Elsevier]

Background: Hen's egg white has been the subject of intensive chemical, biochemical and food technological research for many decades, because of its importance in human nutrition, its importance as a source of easily accessible model proteins, and its potential use in biotechnological processes. Recently the arsenal of tools used to study the protein components of egg white has been complemented by mass spectrometry-based proteomic technologies. Application of these fast and sensitive methods has already enabled the identification of a large number of new egg white proteins. Recent technological advances may be expected to further expand the egg white protein inventory. Results: Using a dual pressure linear ion trap Orbitrap instrument, the LTQ Orbitrap Velos, in conjunction with data analysis in the MaxQuant software package, we identified 158 proteins in chicken egg white with two or more sequence unique peptides. This group of proteins identified with very high confidence included 79 proteins identified in egg white for the first time. In addition, 44 proteins were identified tentatively. Conclusions: Our results, apart from identifying many new egg white components, indicate that current mass spectrometry technology is sufficiently advanced to permit direct identification of minor components of proteomes dominated by a few major proteins without resorting to indirect techniques, such as chromatographic depletion or peptide library binding, which change the composition of the proteome. [ABSTRACT FROM AUTHOR]

The article explores the application of mass spectrometry (MS) and proteomics in the contemporary genetics research. Proteomics is a branch of study that offers highly complementary information to genomics. Whereas, MS technology allows proteins to be analyzed rapidly, accurately and with high sensitivity. When compared to genome a proteome is with this technology each protein may be present in different forms.

The global analysis of protein composition, modifications, and dynamics are important goals in cell biology. Mass spectrometry (MS)-based proteomics has matured into an attractive technology for this purpose. Particularly, high resolution MS methods have been extremely successful for quantitative analysis of cellular and organellar proteomes. Rapid advances in all areas of the proteomic workflow, including sample preparation, MS, and computational analysis, should make the technology more easily available to a broad community and turn it into a staple methodology for cell biologists. [ABSTRACT FROM AUTHOR]

Signalling networks regulate essentially all of the biology of cells and organisms in normal and disease states. Signalling is often studied using antibody-based techniques such as western blots. Large-scale 'precision proteomics' based on mass spectrometry now enables the system-wide characterization of signalling events at the levels of post-translational modifications, protein–protein interactions and changes in protein expression. This technology delivers accurate and unbiased information about the quantitative changes of thousands of proteins and their modifications in response to any perturbation. Current studies focus on phosphorylation, but acetylation, methylation, glycosylation and ubiquitylation are also becoming amenable to investigation. Large-scale proteomics-based signalling research will fundamentally change our understanding of signalling networks. [ABSTRACT FROM AUTHOR]

Abstract: It has become a standard approach to reason about contextual equivalence using some notion of (bi)simulation. The main technical task of this approach is to show that (bi)simulation is a (pre)congruence, and hence is sound for reasoning about contextual equivalence. Howe devised a method to prove this, and his method has been widely adapted and applied. This paper deals with this challenge for call-by-need computation including non-determinism. In this setting, sharing of sub-computations must be taken into account due to its observable effects on the outcome of computations. The technical results of this paper are the definition of a class of non-deterministic reduction-based functional languages (SHOCS). The definition of this class is in terms of a schematic characterization of the reduction rules of the language. The main result is that for SHOCS languages mutual similarity is sound for reasoning about contextual equivalence based on may-convergence. The paper also contains a presentation of a particular non-deterministic call-by-need calculus with let, case, constructors, and seq. [Copyright &y& Elsevier]

Summary: To enable mass spectrometry (MS)-based proteomic studies with poorly characterized organisms, we developed a computational workflow for the homology-driven assembly of a nonredundant reference sequence dataset. In the automated pipeline, translated DNA sequences (e.g. ESTs, RNA deep-sequencing data) are aligned to those of a closely related and fully sequenced organism. Representative sequences are derived from each cluster and joined, resulting in a non-redundant reference set representing the maximal available amino acid sequence information for each protein. We here applied NOmESS to assemble a reference database for the widely used model organism Xenopus laevis and demonstrate its use in proteomic applications. [ABSTRACT FROM AUTHOR]

Precision proteomics requires high-resolution and high mass accuracy peptide measurements. The Orbitrap instrument achieves excellent resolution on a chromatographic time scale and its design is favorable for very high mass accuracy. Here we describe how mass precision for each peptide increases successively by considering all associated measurements, starting from the MS peak and proceeding to its chromatographic elution profile, isotope envelope, and stable isotope pair in SILAC measurements. We extract peptide charge pairs to perform nonlinear recalibration of the Orbitrap mass scale through spline interpolation. The deviation of mass values determined from charge pairs is used to convert mass precision to mass accuracy for subsequent database search. The corrected mass precision is consistent with the mass accuracy independently determined by database identification. Individual mass deviations range from below 100 ppb for peptides with many associated mass measurements and good signal intensities to low ppm for peptides with few mass measurements and signals close to the noise level. This extremely high and individualized mass accuracy is equivalent to a substantial increase in database identification score. [ABSTRACT FROM AUTHOR]

Abstract: Proteomics has made tremendous progress, attaining throughput and comprehensiveness so far only seen in genomics technologies. The consequent avalanche of proteome level data poses great analytical challenges for downstream interpretation. We review bioinformatic analysis of qualitative and quantitative proteomic data, focusing on current and emerging paradigms employed for functional analysis, data mining and knowledge discovery from high resolution quantitative mass spectrometric data. Many bioinformatics tools developed for microarrays can be reused in proteomics, however, the uniquely quantitative nature of proteomics data also offers entirely novel analysis possibilities, which directly suggest and illuminate biological mechanisms. [Copyright &y& Elsevier]

Protein phosphorylation is a key posteranslational modification, which reversibly regulates almost all processes in the living cell. Deregulated signaling is a hallmark of cancer and other diseases, and protein kinases are prominent drug targets. Phosphorylation events are commonly probed in a targeted manner by phosphorylation-specific antibodies. In contrast, advances in proteornics technology, including phosphopeptide enrichment, high-accuracy mass spectrometry, and associated bioinformatics now make it possible to analyze entire phosphoproteomes. Quantitative methods can assess the relative change in phosphorylation for several thousand sites in a single experiment. Here we review enrichment strategies and methods for mass spectrometiric fragmentation and analysis of phosphopeptides. We also describe different quantitative methods and their application to problems in cell signaling and drug target discovery. Emerging phosphoproteomics technologies are becoming more comprehensive, robust, and generically applicable to a wide range of questions, including areas outside traditional eukaryotic cell signaling such as Ser/Thr/Tyr signaling in bacteria. [ABSTRACT FROM AUTHOR]

Efficient analysis of very large amounts of raw data for peptide identification and protein quantification is a principal challenge in mass spectrometry (MS)-based proteomics. Here we describe MaxQuant, an integrated suite of algorithms specifically developed for high-resolution, quantitative MS data. Using correlation analysis and graph theory, MaxQuant detects peaks, isotope clusters and stable amino acid isotope–labeled (SILAC) peptide pairs as three-dimensional objects in m/z, elution time and signal intensity space. By integrating multiple mass measurements and correcting for linear and nonlinear mass offsets, we achieve mass accuracy in the p.p.b. range, a sixfold increase over standard techniques. We increase the proportion of identified fragmentation spectra to 73% for SILAC peptide pairs via unambiguous assignment of isotope and missed-cleavage state and individual mass precision. MaxQuant automatically quantifies several hundred thousand peptides per SILAC-proteome experiment and allows statistically robust identification and quantification of >4,000 proteins in mammalian cell lysates. [ABSTRACT FROM AUTHOR]

Proteomics has progressed radically in the last 5 years and is now on par with most genomic technologies in throughput and comprehensiveness. Analyzing peptide mixtures by liquid chromatography coupled to high-resolution mass spectrometry (LC-MS) has emerged as the main technology for in-depth proteome analysis whereas two-dimensional gel electrophoresis, low-resolution MALDI, and protein arrays are playing niche roles. MS-based proteomics is rapidly becoming quantitative through both label-free and stable isotope labeling technologies. The latest generation of mass spectrometers combines extremely high resolving power, mass accuracy, and very high sequencing speed in routine proteomic applications. Peptide fragmentation is mostly performed in low- resolution but very sensitive and fast linear ion traps. However, alternative fragmentation methods and high-resolution fragment analysis are becoming much more practical. Recent advances in computational proteomics are removing the data analysis bottleneck. Thus, in a few specialized laboratories, "precision proteomics" can now identify and quantify almost all fragmented peptide peaks. Huge challenges and opportunities remain in technology development for proteomics; thus, this is not "the beginning of the end" but surely "the end of the beginning." [ABSTRACT FROM AUTHOR]

Mass spectrometry (MS)-based proteomics has become a formidable tool for the investigation of posttranslational modifications to proteins, protein interactions, and organelles. Is it now ready to tackle comprehensive protein expression analysis? [Copyright &y& Elsevier]

Researchers in many biological areas now routinely characterize proteins by mass spectrometry. Among the many formats for quantitative proteomics, stable-isotope labelling by amino acids in cell culture (SILAC) has emerged as a simple and powerful one. SILAC removes false positives in protein-interaction studies, reveals large-scale kinetics of proteomes and — as a quantitative phosphoproteomics technology — directly uncovers important points in the signalling pathways that control cellular decisions. [ABSTRACT FROM AUTHOR]

Abstract: In the last several years, the impact of mass spectrometry (MS)-based proteomics on cell signaling research has increased dramatically. This development has been driven both by better instrumentation and by the progression of proteomics from mainly qualitative measurements towards quantitative analyses. In this regard, Stable Isotope Labeling by Amino acids in Cell culture (SILAC) has established itself as one of the most popular and useful quantitative proteomic methodologies to study signaling networks. SILAC relies on the metabolic incorporation of non-radioactive heavy isotopes in the whole proteome of desired cell line, making all proteins from these cells easily distinguishable in the mass spectrometers from the proteins originating from control cells. The procedure does not involve any chemical derivatization steps and, importantly, allows mixing of the two cell populations for combined additional sample manipulation, thus leading to highly reliable results with minimal errors. In this chapter, we describe in detail the SILAC labeling procedure and explain how to design SILAC experiments to examine the level and duration of phosphorylation of endogenous MAP kinases and their substrates in cell culture systems. [Copyright &y& Elsevier]

The field of proteomics is built on technologies to analyze large numbers of proteins—ideally the entire proteome—in the same experiment. Mass spectrometry (MS) has been successfully used to characterize proteins in complex mixtures, but results so far have largely been qualitative. Two recently developed methodologies offer the opportunity to obtain quantitative proteomic information. Comparing the signals from the same peptide under different conditions yields a rough estimate of relative protein abundance between two proteomes. Alternatively, and more accurately, peptides are labeled with stable isotopes, introducing a predictable mass difference between peptides from two experimental conditions. Stable isotope labels can be incorporated 'post-harvest', by chemical approaches or in live cells through metabolic incorporation. This isotopic handle facilitates direct quantification from the mass spectra. Using these quantitative approaches, precise functional information as well as temporal changes in the proteome can be captured by MS. [ABSTRACT FROM AUTHOR]

MS-based proteomics usually involves the fragmentation of tryptic peptides (tandem MS or M5²) and their identification by searching protein sequence databases. In ion trap instruments fragments can be further fragmented and analyzed, a process termed MS/MS/MS or MS³. Here, we report that efficient ion capture in a linear ion trap leads to MS³ acquisition times and spectra quality similar to those for MS² experiments with conventional 3D ion traps. Fragmentation of N- or C-terminal ions resulted in informative and low-background spectra, even at subfemtomol levels of peptide. Typically C-terminal ions are chosen for further fragmentation, and the MS³ spectrum greatly constrains the C-terminal amino acids of the peptide sequence. MS³ spectra allow resolution of ambiguities in identification, a crucial problem in proteomics. Because of the sensitivity and rapid scan rates of the linear ion trap, several MS³ spectra per peptide can be obtained even when sequencing very complex mixtures. We calculate the probability that an experimental MS³ spectrum originates from fragmentation of a given N- or C-terminal ion of a peptide under consideration. This MS³ identification score can be combined with the MS² scores of the precursor peptide from existing search engines. When MS3 is performed on the linear ion trap-Fourier transform mass spectrometer combination, accurate peptide masses further increase confidence in peptide identification. [ABSTRACT FROM AUTHOR]

Proteomics is an increasingly powerful and indispensable technology in molecular cell biology. It can be used to identify the components of small protein complexes and large organelles, to determine post-translational modifications and in sophisticated functional screens. The key-but little understood-technology in mass-spectrometry-based proteomics is peptide sequencing, which we describe and review here in an easily accessible format. [ABSTRACT FROM AUTHOR]

The genome sequences of important model systems are available and the focus is now shifting to large-scale experiments enabled by this data. Following in the footsteps of genomics, we have functional genomics, proteomics, and even metabolomics, roughly paralleling the biological hierarchy of the transcription, translation, and production of small molecules. Proteomics is initially concerned with determining the structure, expression, localization, biochemical activity, interactions, and cellular roles of as many proteins as possible. There has been great progress owing to novel instrumentation, experimental strategies, and bioinformatics methods. The area of protein-protein interactions has been especially fruitful. First pass interaction maps of some model organisms exist, and the proteins in many important organelles are about to be determined. Researchers are also beginning to integrate large-scale data sets from various "omics" disciplines in targeted investigations of specific biomedical areas and in pursuit of a general framework for systems biology. [ABSTRACT FROM AUTHOR]

Discusses peptide sequencing. Description of the steps in proteomic experiment; Explanation on peptide ionization, peptide fragmentation, and the identification of peptides through peptide-database searching algorithms; Use of mass spectrometry in peptide sequencing; Applications of peptide sequencing. INSETS: Box 1 Ionization methods;Box 2 The abc's (and xyz's) of peptide sequencing;Box 3 Database identification approaches;Box4 Validation of peptide hits

Regulated interactions between short, unstructured amino acid sequences and modular protein domains are central to cell signaling. Here we use synthetic peptides in "active" (e.g. phosphorylated) and "control" (e.g. nonphosphorylated) forms as baits in affinity pull-down experiments to determine such interactions by quantita. tire proteomics. Stable isotope labeling by amino acids in cell culture distinguishes specific binders directly by the isotope ratios determined by mass spectrometry (Blagoev, B., Kratchmarova, I., Ong, S.-E., Nielsen, M., Foster, L. J., and Mann, M. (2003) Nat. Biotechnol. 21, 315-318). A tyrosine-phosphorylated peptide of the epidermal growth factor receptor specifically retrieved the Src homology domain (SH) 2- and SH3 domain-containing adapter protein Grb2. A proline-rich sequence of Son of Sevenless also specifically bound Grb2, demonstrating that the screen maintains specificity with low affinity interactions. The proline-rich Sos peptide retrieved only SH3 domain containing proteins as specific binding partners. Two of these, Pacsin 3 and Sorting Nexin 9, were confirmed by immunoprecipitation. Our data are consistent with a change in the role of Sos from Ras-dependent signaling to actin remodeling/endocytic signaling events by a proline-SH3 domain switch. [ABSTRACT FROM AUTHOR]

Recent successes illustrate the role of mass spectrometry-based proteomics as an indispensable tool for molecular and cellular biology and for the emerging field of systems biology. These include the study of protein-protein interactions via affinity-based isolations on a small and proteome-wide scale, the mapping of numerous organelles, the concurrent description of the malaria parasite genome and proteome, and the generation of quantitative protein profiles from diverse species. The ability of mass spectrometry to identify and, increasingly, to precisely quantify thousands of proteins from complex samples can be expected to impact broadly on biology and medicine. [ABSTRACT FROM AUTHOR]

Proteomics is the study of the function of all expressed proteins. Tremendous progress has been made in the past few years in generating large-scale data sets for protein-protein interactions, organelle composition, protein activity patterns and protein profiles in cancer patients. But further technological improvements, organization of international proteomics projects and open access to results are needed for proteomics to fulfil its potential. [ABSTRACT FROM AUTHOR]

Post-translational modifications modulate the activity of most eukaryote proteins. Analysis of these modifications presents formidable challenges but their determination generates indispensable insight into biological function. Strategies developed to characterize individual proteins are now systematically applied to protein populations. The combination of function- or structure-based purification of modified 'subproteomes', such as phosphorylated proteins or modified membrane proteins, with mass spectrometry is proving particularly successful. To map modification sites in molecular detail, novel mass spectrometric peptide sequencing and analysis technologies hold tremendous potential. Finally, stable isotope labeling strategies in combination with mass spectrometry have been applied successfully to study the dynamics of modifications. [ABSTRACT FROM AUTHOR]

Analyzes the modifications of bromotryptophan and hydroxyproline modifications by precursor ion scanning utilizing fragment ions with mass-deficient mass tags. Effect of bromine on the reporter ion of tryptophan-brominated peptides; Accuracy of precursor scanning; Nominal mass of ammonium ions.

Although numerous strategies have been devised to analyze protein phosphorylation, an abundant intracellular protein modification, there is still a need for different methods for the analysis of this modification. A method to both detect and localize the phosphorylation within a protein/peptide is especially required. In this paper, a new strategy is described, which makes use of β-elimination/Michael addition reactions to introduce a functional group at the original site of phosphorylation, which gives rise to a dimethylamine-containing sulfenic acid derivative with a unique m/z value. This enables the detection of the phosphorylated species within peptide mixtures by sensitive and specific precursor ion scanning in positive ion mode. Working under acidic conditions in positive ion mode has the added advantage that subsequent normal peptide sequencing for the exact localization can be performed. No other peptide derived fragment ion is observed at the m/z value of the sulfenic acid derivative formed, thus specific precursor ion experiments can also be carried out on instruments with low fragment ion resolution and lends itself to LC-MS/MS approaches when skimmer fragmentation routines or triple quadrupole mass spectrometers are used. [Copyright &y& Elsevier]

In signal transduction in eukaryotes, protein phosphorylation is a key event. To understand signaling processes, we must first acquire an inventory of phosphoproteins and their phosphorylation sites under different conditions. Because phosphorylation is a dynamic process, elucidation of signaling networks also requires quantitation of these phosphorylation events. In this article, we outline several methods for enrichment of phosphorylated proteins and peptides and discuss various options for their identification and quantitation with special emphasis on mass spectrometry-based techniques. [Copyright &y& Elsevier]

Discusses the issue of identifying proteins. Description of mass spectrometry and its role in identifying proteins; Impact of changes in amino acids; Development of alternate methods for identifying proteins.

A decade after the discovery of electrospray and matrix-assisted laser desorption ionization (MALDI), methods that finally allowed gentle ionization of large biomolecules, mass spectrometry has become a powerful tool in protein analysis and the key technology in the emerging field of proteomics. The success of mass spectrometry is driven both by innovative instrumentation designs, especially those operating on the time-of-flight or ion-trapping principles, and by large-scale biochemical strategies, which use mass spectrometry to detect the isolated proteins. Any human protein can now be identified directly from genome databases on the basis of minimal data derived by mass spectrometry. As has already happened in genomics, increased automation of sample handling, analysis, and the interpretation of results will generate an avalanche of qualitative and quantitative proteomic data. Protein-protein interactions can be analyzed directly by precipitation of a tagged bait followed by mass spectrometric identification of its binding partners. By these and similar strategies, entire protein complexes, signaling pathways, and whole organelles are being characterized. Posttranslational modifications remain difficult to analyze but are starting to yield to generic strategies. [ABSTRACT FROM AUTHOR]

Highlights a study which applied mass spectrometry-based proteomic methodologies in annotating nucleotide and protein sequence databases. Why the identification and characterization of proteins have been difficult; Extraction of peptides using mass spectrometry; Methods in assigning subcellular localization of proteins.

Classical migraine patients can experience aura, which is transient neurological deficits associated with cortical spreading depression (CSD), preceding headache attacks. It is not currently understood how a pathological event in cortex can affect peripheral sensory neurons. In this study, we show that cerebrospinal fluid (CSF) flows into the trigeminal ganglion, establishing nonsynaptic signaling between brain and trigeminal cells. After CSD, ~11% of the CSF proteome is altered, with up-regulation of proteins that directly activate receptors in the trigeminal ganglion. CSF collected from animals exposed to CSD activates trigeminal neurons in naïve mice in part by CSF-borne calcitonin gene-related peptide (CGRP). We identify a communication pathway between the central and peripheral nervous system that might explain the relationship between migrainous aura and headache. [ABSTRACT FROM AUTHOR]

Multisystem inflammatory syndrome in children (MIS-C) is a severe disease that emerged during the COVID-19 pandemic. Although recognized as an immune-mediated condition, the pathogenesis remains unresolved. Furthermore, the absence of a diagnostic test can lead to delayed immunotherapy. Using state-of-the-art mass-spectrometry proteomics, assisted by artificial intelligence (AI), we aimed to identify a diagnostic signature for MIS-C and to gain insights into disease mechanisms. We identified a highly specific 4-protein diagnostic signature in children with MIS-C. Furthermore, we identified seven clusters that differed between MIS-C and controls, indicating an interplay between apolipoproteins, immune response proteins, coagulation factors, platelet function, and the complement cascade. These intricate protein patterns indicated MIS-C as an immunometabolic condition with global hypercoagulability. Our findings emphasize the potential of AI-assisted proteomics as a powerful and unbiased tool for assessing disease pathogenesis and suggesting avenues for future interventions and impact on pediatric disease trajectories through early diagnosis. Proteomic profiling reveals diagnostic signatures and pathogenic insights in multisystem inflammatory syndrome in children. [ABSTRACT FROM AUTHOR]

Demonstrates the enzymatic removal of N-linked glycans with simultaneous partial 18O-labeling of glycosylated asparagine residues prior to proteolysis. Matrix-assisted laser desorption/ionization peptide mass mapping and database searching in the identification of gel-separated proteins; Use of tandem mass spectrometry in sequencing.

Provides information on a study which examined the potentials and limitations of mapping method on phosphorylation sites of gel-isolated proteins by nanoelectrospray tandem mass spectrometry. Protein samples and digestion in solution; Desalting of the peptides after in-gel digestion; Application of mapping method to tyrosine phosphorylation.

Mass spectrometry (MS)-based proteomics has become a powerful technology to quantify the entire complement of proteins in cells or tissues. Here, we review challenges and recent advances in the LC-MS-based analysis of minute protein amounts, down to the level of single cells. Application of this technology revealed that single-cell transcriptomes are dominated by stochastic noise due to the very low number of transcripts per cell, whereas the single-cell proteome appears to be complete. The spatial organization of cells in tissues can be studied by emerging technologies, including multiplexed imaging and spatial transcriptomics, which can now be combined with ultra-sensitive proteomics. Combined with high-content imaging, artificial intelligence and single-cell laser microdissection, MS-based proteomics provides an unbiased molecular readout close to the functional level. Potential applications range from basic biological questions to precision medicine. Mund et al. provide a perspective on single-cell proteomics and cell-type-resolved tissue proteomics and how they complement spatial transcriptomics. Together these technologies shed new light on cellular functions in their native context as well as on their functional heterogeneity. Translational applications include precision oncology, aging, and many others. [ABSTRACT FROM AUTHOR]

Describes the theoretical basis of the nanoelectrospray ion source (nanoES). Difference from conventional electrospray sources; Fabrication and operation of nanoES needles; Improvement of desolvation in nanoES which led to instrument-limited resolution of the signals of a glycoprotein; Desalting/concentration step mechanism.

In this article the author discusses the technological improvement in proteomics. He cites the analysis conducted regarding proteomics which includes dealing with protein identification, enrichment of phosphorylated peptides, and evaluation of proteomics researchers. He also mentions that the Gygi group has served a significant role in reverse database approach development to show the comparison of various workflows in proteomics.

Present screening methods for protein-protein interactions (PPIs) rely on the overexpression of artificial fusion proteins, making it difficult to assess in vivo relevance. Here we combine stable isotope labeling with amino acids in cell culture (SILAC), RNA interference (RNAi), coimmunoprecipitation and quantitative mass-spectrometry analysis to detect cellular interaction partners of endogenous proteins in mammalian cells with very high confidence. We used this screen to identify interaction partners of β-catenin and Cbl. [ABSTRACT FROM AUTHOR]

The yeast Saccharomyces cerevisiae is a powerful model system for systems-wide biology screens and large-scale proteomics methods. Nearly complete proteomics coverage has been achieved owing to advances inmass spectrometry. However, it remains challenging to scale this technology for rapid and high-throughput analysis of the yeast proteome to investigate biological pathways on a global scale. Here we describe a systems biology workflow employing plate-based sample preparation and rapid, single-run, data-independent mass spectrometry analysis (DIA). Our approach is straightforward, easy to implement, and enables quantitative profiling and comparisons of hundreds of nearly complete yeast proteomes in only a few days. We evaluate its capability by characterizing changes in the yeast proteome in response to environmental perturbations, identifying distinct responses to each of them and providing a comprehensive resource of these responses. Apart from rapidly recapitulating previously observed responses, we characterized carbon source-dependent regulation of the GID E3 ligase, an important regulator of cellular metabolism during the switch between gluconeogenic and glycolytic growth conditions. This unveiled regulatory targets of the GID ligase during a metabolic switch. Our comprehensive yeast system readout pinpointed effects of a single deletion or point mutation in the GID complex on the global proteome, allowing the identification and validation of targets of the GID E3 ligase. Moreover, this approach allowed the identification of targets from multiple cellular pathways that display distinct patterns of regulation. Although developed in yeast, rapid whole-proteome-based readouts can serve as comprehensive systems-level assays in all cellular systems. [ABSTRACT FROM AUTHOR]

Multi‐omics analyses are used in microbiome studies to understand molecular changes in microbial communities exposed to different conditions. However, it is not always clear how much each omics data type contributes to our understanding and whether they are concordant with each other. Here, we map the molecular response of a synthetic community of 32 human gut bacteria to three non‐antibiotic drugs by using five omics layers (16S rRNA gene profiling, metagenomics, metatranscriptomics, metaproteomics and metabolomics). We find that all the omics methods with species resolution are highly consistent in estimating relative species abundances. Furthermore, different omics methods complement each other for capturing functional changes. For example, while nearly all the omics data types captured that the antipsychotic drug chlorpromazine selectively inhibits Bacteroidota representatives in the community, the metatranscriptome and metaproteome suggested that the drug induces stress responses related to protein quality control. Metabolomics revealed a decrease in oligosaccharide uptake, likely caused by Bacteroidota depletion. Our study highlights how multi‐omics datasets can be utilized to reveal complex molecular responses to external perturbations in microbial communities. Synopsis: Multi‐omics analysis allows for an in‐depth view of the molecular dynamics of a microbial ecosystem. The study evaluates if different omics data types show similar results or if each of them provides unique insights into the dynamics of a drug‐perturbed microbial ecosystem. The estimation of relative species abundance is highly consistent between omics methods that allow species resolution.For capturing functional changes, each omics data type shows slightly different results, showing the usefulness of studying a system on different molecular levels.The antipsychotic drug chlorpromazine selectively inhibits Bacteroidota representatives in a synthetic community of 32 gut microbiome species, leading to a decreased oligosaccharide uptake and induction of stress responses related to protein quality control.The synthetic community breaks down the antihelmintic drug niclosamide, likely protecting community members from the drug. [ABSTRACT FROM AUTHOR]