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A peptide mimetic of interferon-Gamma(IFN-Gamma) is developed that possesses the IFNGamma functions of antiviral activity and upregulation of MHC class II molecules. The IFnGamma nuclear localization sequence (NLS) can play multiple roles in IFNGamma mimetic signaling with the help of IFNGamma mimetic in vitro binding assays and a standard in vitro nuclear transport assay system.

In this work, we describe the construction and application of a repurposed 3D-printer as a fraction collector. We utilize a nano-LC to ensure minimal volumes and surfaces although any LC can be coupled. The setup operates as a high-pH fractionation system capable of effectively working with nanogram scales of lysate digests. The 2D RP-RP system demonstrated superior proteome coverage over single-shot data-dependent acquisition (DDA) analysis using only 5 ng of human cell lysate digest with performance increasing with increasing amounts of material. We found that the fractionation system allowed over 60% signal recovery at the peptide level and, more importantly, we observed improved protein level intensity coverage, which indicates the complexity reduction afforded by the system outweighs the sample losses endured. The application of data-independent acquisition (DIA) and wide window acquisition (WWA) to fractionated samples allowed nearly 8000 proteins to be identified from 50 ng of the material. The utility of the 2D system was further investigated for phosphoproteomics (>21 000 phosphosites from 50 μg starting material) and pull-down type experiments and showed substantial improvements over single-shot experiments. We show that the 2D RP-RP system is a highly versatile and powerful tool for many proteomics workflows.

Hypoxia inducible factor (HIF) is a heterodimeric transcription factor composed of an oxygen-regulated α subunit and a constitutively expressed β subunit that serves as the master regulator of the cellular response to low oxygen concentrations. The HIF transcription factor senses and responds to hypoxia by significantly altering transcription and reprogramming cells to enable adaptation to a hypoxic microenvironment. Given the central role played by HIF in the survival and growth of tumors in hypoxia, inhibition of this transcription factor serves as a potential therapeutic approach for treating a variety of cancers. Here, we report the identification, optimization, and characterization of a series of cyclic peptides that disrupt the function of HIF-1 and HIF-2 transcription factors by inhibiting the interaction of both HIF-1α and HIF-2α with HIF-1β. These compounds are shown to bind to HIF-α and disrupt the protein-protein interaction between the α and β subunits of the transcription factor, resulting in disruption of hypoxia-response signaling by our lead molecule in several cancer cell lines.

We describe an instrument configuration based on the Orbitrap Exploris 480 mass spectrometer that has been coupled to an Omnitrap platform. The Omnitrap possesses three distinct ion-activation regions that can be used to perform resonant-based collision-induced dissociation, several forms of electron-associated fragmentation, and ultraviolet photodissociation. Each section can also be combined with infrared multiphoton dissociation. In this work, we demonstrate all these modes of operation in a range of peptides and proteins. The results show that this instrument configuration produces similar data to previous implementations of each activation technique and at similar efficiency levels. We demonstrate that this unique instrument configuration is extremely versatile for the investigation of polypeptides.

EP2, a G-protein-coupled prostaglandin-E 2 receptor, has emerged as a seminal biological target for drug discovery. EP2 receptor activation is typically proinflammatory; therefore, the development of EP2 antagonists to mitigate the severity and disease pathology in a variety of inflammation-driven central nervous system and peripheral disorders would be a novel strategy. We have recently developed a second-generation EP2 antagonist TG8-260 and shown that it reduces hippocampal neuroinflammation and gliosis after pilocarpine-induced status epilepticus in rats. Here, we present details of synthesis, lead optimization on earlier leads that resulted in TG8-260, potency and selectivity evaluations using cAMP-driven time-resolved fluorescence resonance energy-transfer (TR-FRET) assays and [H 3 ]-PGE2-binding assays, absorption, distribution, metabolism, and excretion (ADME), and pharmacokinetics. TG8-260 ( 2f ) showed Schild K B = 13.2 nM (3.6-fold more potent than the previous lead TG8-69 ( 1c )) and 500-fold selectivity to EP2 against other prostanoid receptors. Pharmacokinetic data indicated that TG8-260 has a plasma half-life of 2.14 h (PO) and excellent oral bioavailability (77.3%). Extensive ADME tests indicated that TG8-260 is a potent inhibitor of CYP450 enzymes. Further, we show that TG8-260 displays antagonistic activity on the induction of EP2 receptor-mediated inflammatory gene expression in microglia BV2-hEP2 cells; therefore, it can serve as a tool for investigating anti-inflammatory pathways in peripheral inflammatory disease animal models., Competing Interests: The authors declare the following competing financial interest(s): Authors T.G. and R.D. are the founders of, and have equity in Pyrefin Inc, which has licensed technology from Emory University in which T.G., R.D. and R.A. are inventors., (© 2022 American Chemical Society.)

Activation of prostanoid EP2 receptor exacerbates neuroinflammatory and neurodegenerative pathology in central nervous system diseases such as epilepsy, Alzheimer's disease, and cerebral aneurysms. A selective and brain-permeable EP2 antagonist will be useful to attenuate the inflammatory consequences of EP2 activation and to reduce the severity of these chronic diseases. We recently developed a brain-permeable EP2 antagonist 1 (TG6-10-1), which displayed anti-inflammatory and neuroprotective actions in rodent models of status epilepticus. However, this compound exhibited moderate selectivity to EP2, a short plasma half-life in rodents (1.7 h) and low aqueous solubility (27 μM), limiting its use in animal models of chronic disease. With lead-optimization studies, we have developed several novel EP2 antagonists with improved water solubility, brain penetration, high EP2 potency, and selectivity. These novel inhibitors suppress inflammatory gene expression induced by EP2 receptor activation in a microglial cell line, reinforcing the use of EP2 antagonists as anti-inflammatory agents.

NLRP3 inflammasome is an important therapeutic target for a number of human diseases. Herein, computationally designed series of quinazolin-4(3 H)-ones were synthesized using iodine-catalyzed coupling of arylalkynes (or styrenes) with O-aminobenzamides. The key event in this transformation involves the oxidative cleavage of the C-C triple/double bond and the release of formaldehyde. The reaction relies on the C-N bond formation along with the C-C bond cleavage under metal-free conditions. The nitro-substituted quinazolin-4(3 H)-one 2k inhibited NLRP3 inflammasome (IC 50 5 μM) via the suppression of IL-1β release from ATP-stimulated J774A.1 cells.

The distribution and toxic equivalents (TEQs) of brominated and chlorinated dibenzo- p-dioxins/dibenzofurans (PBDD/Fs and PCDD/Fs) in soils from Agbogbloshie e-waste site (Ghana) were investigated. The composition of brominated/chlorinated dibenzofurans (PXDFs) and diphenyl ethers (PBDEs, PCDEs, and PXDEs) was examined using two-dimensional gas chromatography-time-of-flight mass spectrometry to elucidate possible formation pathways of dioxins from e-waste recycling. The highest concentrations of PCDD/Fs and PBDD/Fs were found, respectively, in the open burning (1.3-380 ng/g dry weight) and dismantling areas (11-1000 ng/g dry weight) and were comparable to the highest reported for informal e-waste sites. PXDFs and PXDEs were detected at up to the range of hundreds of nanograms per gram. The homologue profiles suggest that PXDFs were formed mainly from PBDFs through successive Br-to-Cl exchange. However, monobromo-PCDFs were also derived from de-novo-generated PCDFs in open burning areas. PBDFs contributed similar or higher TEQs (7.9-5400 pg/g dry weight) compared with PCDD/Fs (6.8-5200 pg/g dry weight), whereas PXDFs were also substantial TEQ contributors in open burning areas. The high TEQs of PBDFs in the dismantling area (120-5200 pg/g dry weight) indicate the need to consider brominated dioxins besides chlorinated dioxins in future studies on health implications for e-waste workers and local residents.

Olefin cross-metathesis (CM) is a viable reaction for the modification of alkene-containing proteins. Although allyl sulfide or selenide side-chain motifs in proteins can critically enhance the rate of CM reactions, no efficient method for their site-selective genetic incorporation into proteins has been reported to date. Here, through the systematic evaluation of olefin-bearing unnatural amino acids for their metabolic incorporation, we have discovered S-allylhomocysteine (Ahc) as a genetically encodable Met analogue that is not only processed by translational cellular machinery but also a privileged CM substrate residue in proteins. In this way, Ahc was used for efficient Met codon reassignment in a Met-auxotrophic strain of E. coli (B834 (DE3)) as well as metabolic labeling of protein in human cells and was reactive toward CM in several representative proteins. This expands the use of CM in the toolkit for "tag-and-modify" functionalization of proteins.

Virus-like particles (VLPs) are stable protein cages derived from virus coats. They have been used extensively as biomolecular platforms, e.g., nanocarriers or vaccines, but a convenient in situ technique is lacking for tracking functional status. Here, we present a simple way to monitor disassembly of 19 F-labeled VLPs derived from bacteriophage Qβ by 19 F NMR. Analysis of resonances, under a range of conditions, allowed determination not only of the particle as fully assembled but also as disassembled, as well as detection of a degraded state upon digestion by cells. This in turn allowed mutational redesign of disassembly and testing in both bacterial and mammalian systems as a strategy for the creation of putative, targeted-VLP delivery systems.

Mass spectrometry (MS)-based proteomics workflows can crudely be classified into two distinct regimes, targeting either relatively small peptides (i.e., 0.7 kDa < M w < 3.0 kDa) or small to medium sized intact proteins (i.e., 10 kDa < M w < 30 kDa), respectively, termed bottom-up and top-down proteomics. Recently, a niche has started to be explored covering the analysis of middle-range peptides (i.e., 3.0 kDa < M w < 10 kDa), aptly termed middle-down proteomics. Although middle-down proteomics can follow, in principle, a modular workflow similar to that of bottom-up proteomics, we hypothesized that each of these modules would benefit from targeted optimization to improve its overall performance in the analysis of middle-range sized peptides. Hence, to generate middle-range sized peptides from cellular lysates, we explored the use of the proteases Asp-N and Glu-C and a nonenzymatic acid induced cleavage. To increase the depth of the proteome, a strong cation exchange (SCX) separation, carefully tuned to improve the separation of longer peptides, combined with reversed phase-liquid chromatography (RP-LC) using columns packed with material possessing a larger pore size, was used. Finally, after evaluating the combination of potentially beneficial MS settings, we also assessed the peptide fragmentation techniques, including higher-energy collision dissociation (HCD), electron-transfer dissociation (ETD), and electron-transfer combined with higher-energy collision dissociation (EThcD), for characterization of middle-range sized peptides. These combined improvements clearly improve the detection and sequence coverage of middle-range peptides and should guide researchers to explore further how middle-down proteomics may lead to an improved proteome coverage, beneficial for, among other things, the enhanced analysis of (co-occurring) post-translational modifications.

Sphingolipids (SLs) are essential components of cell membranes and are broad-range bioactive signaling molecules. SL levels must be tightly regulated as imbalances affect cellular function and contribute to pathologies ranging from neurodegenerative and metabolic disorders to cancer and aging. Deciphering how SL homeostasis is maintained and uncovering new regulators is required for understanding lipid biology and for identifying new targets for therapeutic interventions. Here we combine omics technologies to identify the changes of the transcriptome, proteome, and phosphoproteome in the yeast Saccharomyces cerevisiae upon SL depletion induced by myriocin. Surprisingly, while SL depletion triggers important changes in the expression of regulatory proteins involved in SL homeostasis, the most dramatic regulation occurs at the level of the phosphoproteome, suggesting that maintaining SL homeostasis demands rapid responses. To discover which of the phosphoproteomic changes are required for the cell's first-line response to SL depletion, we overlaid our omics results with systematic growth screens for genes required during growth in myriocin. By following the rate of SL biosynthesis in those candidates that are both affecting growth and are phosphorylated in response to the drug, we uncovered Atg9, Stp4, and Gvp36 as putative new regulators of SL homeostasis.

Isobaric labeling is gaining popularity in proteomics due to its multiplexing capacity. However, copeptide fragmentation introduces a bias that undermines its accuracy. Several strategies have been shown to partially and, in some cases, completely solve this issue. However, it is still not clear how ratio compression affects the ability to identify a protein's change of abundance as statistically significant. Here, by using the "two proteomes" approach (E. coli lysates with fixed 2.5 ratios in the presence or absence of human lysates acting as the background interference) and manipulating isolation width values, we were able to model isobaric data with different levels of accuracy and precision in three types of mass spectrometers: LTQ Orbitrap Velos, Impact, and Q Exactive. We determined the influence of these variables on the statistical significance of the distorted ratios and compared them to the ratios measured without impurities. Our results confirm previous findings1-4 regarding the importance of optimizing acquisition parameters in each instrument in order to minimize interference without compromising precision and identification. We also show that, under these experimental conditions, the inclusion of a second replicate increases statistical sensitivity 2-3-fold and counterbalances to a large extent the issue of ratio compression.

We describe palladium-mediated S-arylation that exploits natural metal-binding motifs to ensure high site selectivity for a proximal reactive residue. This allows the chemical identification not only of proteins that bind metals but also the environment of the metal-binding site itself through proteomic analysis of arylation sites. The transformation is easy to perform under standard conditions, does not require the isolation of a reactive Ar-Pd complex, is broad in scope, and is applicable in cell lysates as well as to covalent inhibition/modulation of metal-dependent enzymatic activity.

Active site labeling by (re)activity-based probes is a powerful chemical proteomic tool to globally map active sites in native proteomes without using substrates. Active site labeling is usually taken as a readout for the active state of the enzyme because labeling reflects the availability and reactivity of active sites, which are hallmarks for enzyme activities. Here, we show that this relationship holds tightly, but we also reveal an important exception to this rule. Labeling of Arabidopsis ALDH3H1 with a chloroacetamide probe occurs at the catalytic Cys, and labeling is suppressed upon nitrosylation and oxidation, and upon treatment with other Cys modifiers. These experiments display a consistent and strong correlation between active site labeling and enzymatic activity. Surprisingly, however, labeling is suppressed by the cofactor NAD(+), and this property is shared with other members of the ALDH superfamily and also detected for unrelated GAPDH enzymes with an unrelated hydantoin-based probe in crude extracts of plant cell cultures. Suppression requires cofactor binding to its binding pocket. Labeling is also suppressed by ALDH modulators that bind at the substrate entrance tunnel, confirming that labeling occurs through the substrate-binding cavity. Our data indicate that cofactor binding adjusts the catalytic Cys into a conformation that reduces the reactivity toward chloroacetamide probes.

The first total synthesis of eucophylline was reported in 10 steps and 10% overall yield. The naphthyridine core of eucophylline was prepared through the coupling between a strained azabicyclo[3.3.1]nonan-2-one and a trisubstituted benzonitrile, followed by a cyclization of the corresponding amidine. This coupling reaction was shown to proceed through a stable bicyclic chloroenamine intermediate. The azabicyclo[3.3.1]nonan-2-one skeleton was in turn accessible through a straightforward sequence including a free-radical three-component olefin carbo-oximation as a key step.

Molecular iodine catalyzed oxidative coupling of 2-aminobenzamides with aryl methyl ketones produced 2-aryl quinazolin-4(3H)-ones. The reaction performed well in the absence of any metal or ligand. The quantity of iodine played a very crucial role in this transformation in order to selectively get 2-aryl quinazolin-4(3H)-ones. The utility of this protocol for synthesis of pyrazolo[4,3-d]pyrimidin-7(6H)-ones including a key intermediate involved in sildenafil synthesis has also been demonstrated.

We report a straightforward strategy to comprehensively monitor signal transduction pathway dynamics in mammalian systems. Combining targeted quantitative proteomics with highly selective phosphopeptide enrichment, we monitor, with great sensitivity, phosphorylation dynamics of the PI3K-mTOR and MAPK signaling networks. Our approach consists of a single enrichment step followed by a single targeted proteomics experiment, circumventing the need for labeling and immune purification while enabling analysis of selected phosphorylation nodes throughout signaling pathways. The need for such a comprehensive pathway analysis is illustrated by highlighting previously uncharacterized phosphorylation changes in oncogene-induced senescence, associated with diverse biological phenotypes and pharmacological intervention of the PI3K-mTOR pathway.

Here, we explore applications of a LC system using disposable solid-phase extraction (SPE) cartridges and very short LC-MS/MS gradients that allows for rapid analyses in less than 10 min analysis time. The setup consists of an autosampler harboring two sets of 96 STAGE tips that function as precolumns and a short RP analytical column running 6.5 min gradients. This system combines efficiently with several proteomics workflows such as offline prefractionation methods, including 1D gel electrophoresis and strong-cation exchange chromatography. It also enables the analysis of interactomes obtained by affinity purification with an analysis time of approximately 1 h. In a typical shotgun proteomics experiment involving 36 SCX fractions of an AspN digested cell lysate, we detected over 3600 protein groups with an analysis time of less than 5.5 h. This innovative fast LC system reduces proteome analysis time while maintaining sufficient proteomic detail. This has particular relevance for the use of proteomics within a clinical environment, where large sample numbers and fast turnover times are essential.

Outcomes of comparative evaluations of enrichment methods for phosphopeptides depend highly on the experimental protocols used, the operator, the source of the affinity matrix, and the samples analyzed. Here, we attempt such a comparative study exploring a very large synthetic library containing thousands of serine, threonine, and tyrosine phosphorylated peptides, being present in roughly equal abundance, along with their nonphosphorylated counterparts, and use an optimized protocol for enrichment by TiO2 and Ti(4+)-immobilized metal affinity chromatography (IMAC) by a single operator. Surprisingly, our data reveal that there are minimal differences between enrichment of phosphopeptides by TiO2 and Ti(4+)-IMAC when considering biochemical and biophysical parameters such as peptide length, sequence surrounding the site, hydrophobicity, and nature of the amino acid phosphorylated. Similar results were obtained when evaluating a tryptic digest of a cellular lysate, representing a more natural source of phosphopeptides. All the data presented are available via ProteomeXchange with the identifier PXD000759.

Stationary-phase, carbon-starved shake-flask cultures of Saccharomyces cerevisiae are popular models for studying eukaryotic chronological aging. However, their nutrient-starved physiological status differs substantially from that of postmitotic metazoan cells. Retentostat cultures offer an attractive alternative model system in which yeast cells, maintained under continuous calorie restriction, hardly divide but retain high metabolic activity and viability for prolonged periods of time. Using TMT labeling and UHPLC-MS/MS, the present study explores the proteome of yeast cultures during transition from exponential growth to near-zero growth in severely calorie-restricted retentostats. This transition elicited protein level changes in 20% of the yeast proteome. Increased abundance of heat shock-related proteins correlated with increased transcript levels of the corresponding genes and was consistent with a strongly increased heat shock tolerance of retentostat-grown cells. A sizable fraction (43%) of the proteins with increased abundance under calorie restriction was involved in oxidative phosphorylation and in various mitochondrial functions that, under the anaerobic, nongrowing conditions used, have a very limited role. Although it may seem surprising that yeast cells confronted with severe calorie restriction invest in the synthesis of proteins that, under those conditions, do not contribute to fitness, these responses may confer metabolic flexibility and thereby a selective advantage in fluctuating natural habitats.

Through a "tag-and-modify" protein chemical modification strategy, we site-selectively phosphorylated the activation loop of protein kinase p38α. Phosphorylation at natural (180) and unnatural (172) sites created two pure phospho-forms. p38α bearing only a single phosphocysteine (pCys) as a mimic of pThr at 180 was sufficient to switch the kinase to an active state, capable of processing natural protein substrate ATF2; 172 site phosphorylation did not. In this way, we chemically recapitulated triggering of a relevant segment of the MAPK-signaling pathway in vitro. This allowed detailed kinetic analysis of global and stoichiometric phosphorylation events catalyzed by p38α and revealed that site 180 is a sufficient activator alone and engenders dominant mono-phosphorylation activity. Moreover, a survey of kinase inhibition using inhibitors with different (Type I/II) modes (including therapeutically relevant) revealed unambiguously that Type II inhibitors inhibit phosphorylated p38α and allowed discovery of a predictive kinetic analysis based on cooperativity to distinguish Type I vs II.

Neuropeptides are intercellular signal transmitters that play key roles in modulation of many behavioral and physiological processes. Neuropeptide signaling in several nuclei in the hypothalamus contributes to the control of food intake. Additionally, food intake regulation involves neuropeptide signaling in the reward circuitry in the striatum. Here, we analyze neuropeptides extracted from hypothalamus and striatum from rats in four differentially treated dietary groups including a high-fat/high-sucrose diet, mimicking diet-induced obesity. We employ high-resolution tandem mass spectrometry using higher-energy collision dissociation and electron transfer dissociation fragmentation for sensitive identification of more than 1700 unique endogenous peptides, including virtually all key neuropeptides known to be involved in food intake regulation. Label-free quantification of differential neuropeptide expression revealed comparable upregulation of orexigenic and anorexigenic neuropeptides in rats that were fed on a high-fat/high-sucrose diet.

In order to understand cellular signaling, a clear understanding of kinase-substrate relationships is essential. Some of these relationships are defined by consensus recognition motifs present in substrates making them amendable for phosphorylation by designated kinases. Here, we explore a method that is based on two sequential steps of strong cation exchange chromatography combined with differential stable isotope labeling, to define kinase consensus motifs with high accuracy. We demonstrate the value of our method by evaluating the motifs of two very distinct kinases: cAMP regulated protein kinase A (PKA) and human monopolar spindle 1 (Mps1) kinase, also known as TTK. PKA is a well-studied basophilic kinase with a relatively well-defined motif and numerous known substrates in vitro and in vivo. Mps1, a kinase involved in chromosome segregation, has been less well characterized. Its substrate specificity is unclear and here we show that Mps1 is an acidophilic kinase with a striking tendency for phosphorylation of threonines. The final outcomes of our work are high-definition kinase consensus motifs for PKA and Mps1. Our generic method, which makes use of proteolytic cell lysates as a source for peptide-substrate libraries, can be implemented for any kinase present in the kinome.

We recently introduced a novel scheme combining electron-transfer and higher-energy collision dissociation (termed EThcD), for improved peptide ion fragmentation and identification. We reasoned that phosphosite localization, one of the major hurdles in high-throughput phosphoproteomics, could also highly benefit from the generation of such EThcD spectra. Here, we systematically assessed the impact on phosphosite localization utilizing EThcD in comparison to methods employing either ETD or HCD, respectively, using a defined synthetic phosphopeptide mixture and also using a larger data set of Ti(4+)-IMAC enriched phosphopeptides from a tryptic human cell line digest. In combination with a modified version of phosphoRS, we observed that in the majority of cases EThcD generated richer and more confidently identified spectra, resulting in superior phosphosite localization scores. Our data demonstrates the distinctive potential of EThcD for PTM localization, also beyond protein phosphorylation.

Mass spectrometry (MS)-based phosphoproteomics has achieved extraordinary success in qualitative and quantitative analysis of cellular protein phosphorylation. Considering that an estimated level of phosphorylation in a cell is placed at well above 100,000 sites, there is still much room for improvement. Here, we attempt to extend the depth of phosphoproteome coverage while maintaining realistic aspirations in terms of available material, robustness, and instrument running time. We developed three strategies, where each provided a different balance between these three key parameters. The first strategy simply used enrichment by Ti(4+)-IMAC followed by reversed chromatography LC-MS (termed 1D). The second strategy incorporated an additional fractionation step through the use of HILIC (2D). Finally, a third strategy was designed employing first an SCX fractionation, followed by Ti(4+)-IMAC enrichment and additional fractionation by HILIC (3D). A preliminary evaluation was performed on the HeLa cell line. Detecting 3700 phosphopeptides in about 2 h, the 1D strategy was found to be the most sensitive but limited in comprehensivity, mainly due to issues with complexity and dynamic range. Overall, the best balance was achieved using the 2D based strategy, identifying close to 17,000 phosphopeptides with less than 1 mg of material in about 48 h. Subsequently, we confirmed the findings with the K562 cell sample. When sufficient material was available, the 3D strategy increased phosphoproteome allowing over 22,000 unique phosphopeptides to be identified. Unfortunately, the 3D strategy required more time and over 1 mg of material before it started to outperform 2D. Ultimately, combining all strategies, we were able to identify over 16,000 and nearly 24,000 unique phosphorylation sites from the cancer cell lines HeLa and K562, respectively. In summary, we demonstrate the need to carry out extensive fractionation for deep mining of the phosphoproteome and provide a guide for appropriate strategies depending on sample amount and/or analysis time.

We present a straightforward method to enrich phosphopeptides with multiple basic residues, an under-represented class in common enrichment strategies. Our method is based on a two-dimensional strong cation exchange (SCX) strategy, operating at two different acidic pHs, enabling both separation and enrichment of different classes of phosphopeptides. The principle of enrichment is based on the change of net charge of phosphorylated peptides under strong acidic conditions in the second SCX, whereas the net charge of regular peptides remains unchanged, thus enabling separation based on net charge. Application of our tandem SCX approach to a modest amount of human cells allowed the identification of over 10,000 unique "basic" phosphopeptides of which many represent putative targets of basophilic kinases.

Quantitative methodologies for the global in-depth comparison of proteomes are frequently based on chemical derivatization of peptides with isotopically distinguishable labeling agents. In the present work, we set out to study the feasibility of the dimethyl labeling method in combination with ZIC-cHILIC (zwitterionic hydrophilic interaction liquid chromatography) technology for quantitative proteomics. We first addressed the potential issue of isotope effects perturbing the essential coelution of differently labeled peptides under ZIC-cHILIC separation. The deuterium incorporation-induced effect can be largely eliminated by favoring the mixed-mode ZIC-cHILIC separation based on combined hydrophilic and ionic interactions. Then, we evaluated the performance and applicability of this strategy using a sample consisting of human cell lysate. We demonstrate that our approach is suitable to perform unbiased quantitative proteome analysis, still quantifying more than 2500 proteins when analyzing only a few micrograms of sample.

Several enrichment and separation strategies are available that allow nearly pure phosphopeptide pools to be created. These phosphopeptide pools are too complex to be completely unraveled by RP-LC-MS analysis alone. Here, we implement weak anion exchange (WAX) chromatography as an additional, complementary dimension to strong cation exchange (SCX) and reversed phase (RP). Initially, we used SCX to fractionate a human lysate digest to generate a fraction highly enriched for phosphopeptides. Analysis of this single fraction by RP-LC-MS with a 140 min gradient method allowed the identification of 4045 unique phosphopeptides (false discovery rate (FDR) < 1%; Mascot score > 20) using an Orbitrap Velos. Triplicate analysis (420 min total gradient time) of the same sample increased the total to just over 5000 unique phosphopeptides. When we separated the same sample by WAX and analyzed 14 WAX fractions by 30 min gradient RP-LC-MS (420 min total gradient time) we were able to identify 7251 unique phosphopeptides, an approximate increase of 40%, while maintaining the same total gradient time. We performed a more comprehensive, albeit also more time-consuming, analysis of the same 14 WAX fractions by the use of 140 min gradient LC-MS analyses, which resulted in the detection of over 11 000 unique phosphopeptides. Our results clearly demonstrate that additional separation dimensions are still necessary for in-depth phosphoproteomics and that WAX is a suitable dimension to be combined and sandwiched between SCX and RP chromatography.

In proteomics, selected reaction monitoring (SRM) is rapidly gaining importance for targeted protein quantification. The triple quadrupole mass analyzers used in SRM assays allow for levels of specificity and sensitivity hard to accomplish by more standard shotgun proteomics experiments. Often, an SRM assay is built by in silico prediction of transitions and/or extraction of peptide precursor and fragment ions from a spectral library. Spectral libraries are typically generated from nonideal ion trap based shotgun proteomics experiments or synthetic peptide libraries, consuming considerable time and effort. Here, we investigate the usability of beam type CID (or "higher energy CID" (HCD)) peptide fragmentation spectra, as acquired using an Orbitrap Velos, to facilitate SRM assay development. Therefore, peptide fragmentation spectra, obtained by ion-trap CID, triple-quadrupole CID (QqQ-CID) and Orbitrap HCD, originating from digested cellular lysates, were compared. Spectral comparison and a dedicated correlation algorithm indicated significantly higher similarity between QqQ-CID and HCD fragmentation spectra than between QqQ-CID and ion trap-CID spectra. SRM transitions generated using a constructed HCD spectral library increased SRM assay sensitivity up to 2-fold, when compared to the use of a library created from more conventionally used ion trap-CID spectra, showing that HCD spectra can assist SRM assay development.

In proteomics, multidimensional liquid chromatography combined with mass spectrometry has become a standard technique to reduce sample complexity and tackle the vast dynamic range. Such fractionation is necessary to obtain a comprehensive analysis of biological samples such as tissues and cell lines. However, extensive fractionation comes at the expense of sample losses, hampering the analysis of limited material. We previously described a highly sensitive multidimensional chromatographic strategy based on a combination of hydrophilic interaction liquid chromatography and reversed phase chromatography, which allows proteomic analysis with minimal sample losses. Here we apply this strategy to the analysis of a limited number of FACS-sorted colon stem cells extracted from mouse intestine, obtaining a proteome coverage comparable to current methods that generally require 100-fold more starting material. We propose that this alternative multidimensional chromatographic technology will find ample application such as in the analysis of distinct cellular populations obtained by laser microdissection.

Over the past decade peptide sequencing by collision induced dissociation (CID) has become the method of choice in mass spectrometry-based proteomics. The development of alternative fragmentation techniques such as electron transfer dissociation (ETD) has extended the possibilities within tandem mass spectrometry. Recent advances in instrumentation allow peptide fragment ions to be detected with high speed and sensitivity (e.g., in a 2D or 3D ion trap) or at high resolution and high mass accuracy (e.g., an Orbitrap or a ToF). Here, we describe a comprehensive experimental comparison of using ETD, ion-trap CID, and beam type CID (HCD) in combination with either linear ion trap or Orbitrap readout for the large-scale analysis of tryptic peptides. We investigate which combination of fragmentation technique and mass analyzer provides the best performance for the analysis of distinct peptide populations such as N-acetylated, phosphorylated, and tryptic peptides with up to two missed cleavages. We found that HCD provides more peptide identifications than CID and ETD for doubly charged peptides. In terms of Mascot score, ETD FT outperforms the other techniques for peptides with charge states higher than 2. Our data shows that there is a trade-off between spectral quality and speed when using the Orbitrap for fragment ion detection. We conclude that a decision-tree regulated combination of higher-energy collisional dissociation (HCD) and ETD can improve the average Mascot score.

The complexity of peptide mixtures that are analyzed in proteomics necessitates fractionation by multidimensional separation approaches prior to mass spectrometric analysis. In this work, we introduce and evaluate hydrophilic interaction liquid chromatography (HILIC) based strategies for the separation of complex peptide mixtures. The two zwitterionic HILIC materials (ZIC-HILIC and ZIC-cHILIC) chosen for this work differ in the spatial orientation of the positive and negative charged groups. Online experiments revealed a pH-independent resolving power for the ZIC-cHILIC resin while ZIC-HILIC showed a decrease in resolving power at an acidic pH. Subsequently, we extensively evaluated the performances of ZIC-HILIC and ZIC-cHILIC as first dimension in an off-line two-dimensional liquid chromatography (2D-LC) strategy in combination with reversed phase (RP), with respect to peptide separation efficiency and how the retention time correlates with a number of peptide physicochemical properties. Both resins allowed the identification of more than 20,000 unique peptides corresponding to over 3500 proteins in each experimental condition from a remarkably low (1.5 μg) amount of starting material of HeLa lysate digestion. The resulting data allows the drawing of a comprehensive picture regarding ZIC- and ZIC-cHILIC peptide separation characteristics. Furthermore, the extent of protein identifications observed from such a level of material demonstrates that HILIC can rival or surpass traditional multidimensional strategies employed in proteomics.

A major problem in the analysis of mass spectrometry-based proteomics data is the vast growth of data volume, caused by improvements in sequencing speed of mass spectrometers. This growth affects analysis times and storage requirements so severely that many analysis tools are no longer able to cope with the increased file sizes. We present a tool, RockerBox, to address size problems for search results obtained from the widely used Mascot search engine. RockerBox allows for a fast evaluation of large result files by means of a number of commonly accepted metrics that can often be viewed through charts. Moreover, result files can be filtered without altering their informative content, based on a number of FDR calculation methods. File sizes can be reduced dramatically, often to a tenth of their original size, thus relaxing the need for storage and computation power, and boosting analysis of current and future proteomics experiments.

Trypsin, the most widely used enzyme in proteomics, has a few caveats as it does not perform well under certain harsh sample handling conditions and creates relatively short peptides less amenable to, for instance, electron transfer dissociation. There is, thus, room for improvement using alternative proteases. Here, we evaluate the performance of such an alternative protease, the metalloendopeptidase Lys-N, in sample preparation for proteomic analyses under various experimental conditions. The experimental parameters we evaluated were protein-to-protease ratio, incubation time, temperature, and several concentrations of denaturing modifiers often used in proteomics sample handling. Our data reveal that Lys-N is still very efficient under some very harsh (denaturing) conditions (e.g., 8 M urea, 80% acetonitrile) and at temperatures as low as 4 degrees C and up to 80 degrees C but severely hampered by guanidine hydrochloride and methanol. These rather unique features make Lys-N a good candidate for a variety of applications, such as membrane proteomics and possibly H/D exchange mass spectrometry. Additionally, we show that Lys-N is capable of, in contrast to trypsin or Lys-C, cleaving adjacent to mono- and dimethylated lysines, making it a good candidate for targeted epigenetic analysis of for instance histones.

Here we demonstrate that separation of proteolytic peptides, having the same net charge and one basic residue, is affected by their specific orientation toward the stationary phase in ion-exchange chromatography. In electrostatic repulsion-hydrophilic interaction chromatography (ERLIC) with an anion-exchange material, the C-terminus of the peptides is, on average, oriented toward the stationary phase. In cation exchange, the average peptide orientation is the opposite. Data with synthetic peptides, serving as orientation probes, indicate that in tryptic/Lys-C peptides the C-terminal carboxyl group appears to be in a zwitterionic bond with the side chain of the C-terminal Lys/Arg residue. In effect, the side chain is then less basic than the N-terminus, accounting for the specific orientation of tryptic and Lys-C peptides. Analyses of larger sets of peptides, generated from lysates by either Lys-N, Lys-C, or trypsin, reveal that specific peptide orientation affects the ability of charged side chains, such as phosphate residues, to influence retention. Phosphorylated residues that are remote in the sequence from the binding site affect retention less than those that are closer. When a peptide contains multiple charged sites, then orientation is observed to be less rigid and retention tends to be governed by the peptide's net charge rather than its sequence. These general observations could be of value in confirming a peptide's identification and, in particular, phosphosite assignments in proteomics analyses. More generally, orientation accounts for the ability of chromatography to separate peptides of the same composition but different sequence.

The study of protein phosphorylation events is one of the most important challenges in proteome analysis. Despite the importance of phosphorylation for many regulatory processes in cells and many years of phosphoprotein and phosphopeptide research, the identification and characterization of phosphorylation by mass spectrometry is still a challenging task. Recently, we introduced an approach that facilitates the analysis of phosphopeptides by performing automated, online, TiO(2) enrichment of phosphopeptides prior to mass spectrometry (MS) analysis. The implementation of that method on a "plug-and-play" microfluidic high-performance liquid chromatography (HPLC) chip design will potentially open up efficient phosphopeptide enrichment methods enabling phosphoproteomics analyses by a broader research community. Following our initial proof of principle, whereby the device was coupled to an ion trap, we now show that this so-called phosphochip is capable of the enrichment of large numbers of phosphopeptides from complex cellular lysates, which can be more readily identified when coupled to a higher resolution quadrupole time-of-flight (Q-TOF) mass spectrometer. We use the phosphochip-Q-TOF setup to explore the phosphoproteome of nonstimulated primary human leukocytes where we identify 1012 unique phosphopeptides corresponding to 960 different phosphorylation sites providing for the first time an overview of the phosphoproteome of these important circulating white blood cells.

In proteomics, proteolytic peptides are often chemically modified to improve MS analysis, peptide identification, and/or to enable protein/peptide quantification. It is known that such chemical modifications can alter peptide fragmentation in collision induced dissociation MS/MS. Here, we investigated the fragmentation behavior of such chemically modified peptides in MS/MS using the relatively new activation method electron transfer dissociation (ETD). We generated proteolytic peptides using the proteases Lys-N and trypsin and compared the fragmentation behavior of the unlabeled peptides with that of their chemically modified cognates. We investigated the effect of several commonly used modification reactions, namely, guanidination, dimethylation, imidazolinylation, and nicotinylation (ICPL). Of these guanidination and imidazolinylation specifically target the epsilon-amino groups of lysine residues in the peptides, whereas dimethylation and nicotinylation modify both N-termini and epsilon-amino groups of lysine residues. Dimethylation, guanidination, and particularly imidazolinylation of doubly charged Lys-N peptides resulted in a significant increase in peptide sequence coverage, resulting in more reliable peptide identification using ETD. This may be rationalized by the increased basicity and resulting positive charge at the N-termini of these peptides. Nicotinylation of the peptides, on the other hand, severely suppressed backbone fragmentation, hampering the use of this label in ETD based analysis. Doubly charged C-terminal lysine containing tryptic peptides also resulted in an enhanced observation of a single type of fragment ion series when guanidinated or imidazolinylated. These labels would thus facilitate the use of de novo sequencing strategies based on ETD for both arginine and lysine containing tryptic peptides. Since isotopic analogues of the labeling reagents applied in this work are commercially available, one can combine quantitation with improved ETD based peptide sequencing for both Lys-N and trypsin digested samples.

The analysis of proteome-wide phosphorylation events is still a major analytical challenge because of the enormous complexity of protein phosphorylation networks. In this work, we evaluate the complementarity of Lys-N, Lys-C, and trypsin with regard to their ability to contribute to the global analysis of the phosphoproteome. A refined version of low-pH strong cation exchange was used to efficiently separate N-terminally acetylated, phosphorylated, and nonmodified peptides. A total of 5036 nonredundant phosphopeptides could be identified with a false discovery rate of <1% from 1 mg of protein using a combination of the three enzymes. Our data revealed that the overlap between the phosphopeptide data sets generated with different proteases was marginal, whereas the overlap between two similarly generated tryptic data sets was found to be at least 4 times higher. In this way, the parallel use of Lys-N and trypsin enabled a 72% increase in the number of detected phosphopeptides as compared to trypsin alone, whereas a trypsin replicate experiment only led to a 25% increase. Thus, when focusing solely on the trypsin and Lys-N data, we identified 4671 nonredundant phosphopeptides. Further analysis of the detected sites showed that the Lys-N and trypsin data sets were enriched in significantly different phosphorylation motifs, further evidencing that multiprotease approaches are very valuable in phosphoproteome analyses.

In recent years, mass spectrometry (MS) based techniques have made their entrance in the analysis of endogenous peptides extracted from nervous tissue. In this study, we introduce a novel peptide extraction procedure using 8 M urea, next to the more established extraction method that uses acetic acid. The extracted peptide mixtures are analyzed by both high-resolution nanoLC MS/MS using collision induced dissociation (CID) on an LTQ-Orbitrap and nanoLC electron transfer induced dissociation (ETD) on a linear ion trap. The combined use of the two extraction methods significantly increased the yield of identified endogenous neuropeptides. The multiplexed use of high mass accuracy mass spectrometry and the ETD fragmentation technique further increased the yield and confidence of peptide identifications. Furthermore, reduction of disulfide bridges during sample preparation was essential in the identification of several endogenous peptides containing cysteine disulfide bonds. Through this study, we identified in total 142 peptides in extracts of the mouse pituitary tissue, whereby 43 uniquely in the urea extract and 11 uniquely in the acetic acid extract. A large number of detected endogenous peptides were reported previously, but we confidently identified 22 unreported peptides that possess characteristics of endogenous peptides and are thus interesting targets to be explored further.

In-depth human erythrocyte proteome studies are severely hampered by the presence of hemoglobin and carbonic anhydrase-1, which account for more than 98% of the total erythrocyte soluble protein content. We developed a specific depletion approach that resulted in a drastic increase in the number of identified proteins. This depletion technique is valuable for proteome studies of human erythrocyte disorders with unknown etiology and of tissue samples that contain blood.

The multisubunit RNA polymerases (Pols) II and III synthesize mainly eukaryotic mRNAs and tRNAs, respectively. Pol II and Pol III are protein complexes consisting of 12 and 17 subunits. Here we analyzed both yeast Pol II and Pol III by multiplexed mass spectrometric analysis using various proteases and both collision induced and electron transfer dissociation. The cumulative data obtained from using the various proteases (trypsin, chymotrypsin, Glu-C and Lys-C) and the two peptide fragmentation approaches allowed us to map nearly the complete sequences of all constituents of both Pol II and III. Notably, chymotrypsin behaved equally well as and in certain circumstances better than trypsin in the context of protein coverage. Although the available high resolution structures have exposed extensive mechanistic insights into transcription, the role of post-translational modification in these processes has been addressed to a lesser extent. In our analysis of Pol II and III we detected 19 phosphorylation sites, of which 12 have not been previously reported. Identified phosphosites were mapped on the Pol II structure which provided indications that they might play a role in regulating the conformation of the clamp region and, as a consequence, interaction of Pol II with nucleic acids. The described multiplexed proteomics approach is generic and reveals that it is possible to map a protein complex to near completion while applying less than 5 mug (approximately 10 pmol) of total starting material.