Tagging Strategy Research Articles

Proteomics Evaluation of Chemically Cleavable Activity-based Probes

Activity-based probes (ABPs) that specifically target subsets of related enzymatic proteins are finding increasing use in proteomics research. One of the main applications for these reagents is affinity isolation of probe-labeled targets. However, the use of cheap and efficient biotin affinity tags on ABPs can be problematic due to difficulty in release of captured proteins. Here we describe the evaluation of activity-based probes carrying a chemically cleavable linker that allows selective release of probe-labeled proteins under mild elution conditions that are compatible with mass spectrometric analysis. Specifically, we compare results from standard on-bead digestion of probe-labeled targets after affinity purification with the results obtained using chemoselective cleavage. Results are presented for multiple APBs that target both serine and cysteine proteases. These results highlight significant improvements in the quality of data obtained by using the cleavable linker system.

The Implications of Proteolytic Background for Shotgun Proteomics

The analysis by liquid chromatography coupled to tandem mass spectrometry of complex peptide mixtures, generated by proteolysis of protein samples, is the main proteomics method used today. The approach is based on the assumption that each protein present in a sample reproducibly and predictably generates a relatively small number of peptides that can be identified by mass spectrometry. In this study this assumption was examined by a targeted peptide sequencing strategy using inclusion lists to trigger peptide fragmentation attempts. It was found that the number of peptides observed from a single protein is at least one order of magnitude greater than previously assumed. This unexpected complexity of proteomics samples implies substantial technical challenges, explains some perplexing results in the proteomics literature, and prompts the need for developing alternative experimental strategies for the rapid and comprehensive analysis of proteomes.

Improving solubility of NR2B amino-terminal domain of N-methyl-d-aspartate receptor expressed in Escherichia coli

The amino-terminal domains (ATDs) of N-methyl-d-aspartate (NMDA) receptors contain binding sites for modulators and may serve as potential drug targets in neurological diseases. Here, three fusion tags (6×His-, GST-, and MBP-) were fused to the ATD of NMDA receptor NR2B subunit (ATD2B) and expressed in Escherichia coli. Each tag’s ability to confer enhanced solubility to ATD2B was assessed. Soluble ATD2B was successfully obtained as a MBP fusion protein. Dynamic light scattering revealed the protein (1mg/ml) exists as monodispersed species at 25°C. Functional studies using circular dichroism showed that the soluble MBP-ATD2B bound ifenprodil in a dose-dependent manner. The dissociation constants obtained for ifenprodil were similar in the absence (64nM) and presence (116nM) of saturating concentration of maltose. Moreover, the yield of soluble MBP-ATD2B is 18 times higher than the refolded 6×His-ATD2B. We have reported a systematic comparison of three different affinity tagging strategies and identified a rapid and efficient method to obtain large amount of ATD2B recombinant protein for biochemical and structural studies.

Tags for the Stable Isotopic Labeling of Carbohydrates and Quantitative Analysis by Mass Spectrometry

Although stable isotopic labeling has found widespread use in the proteomics field, its application to carbohydrate quantification has been limited. Herein we report the design, synthesis, and application of a novel series of compounds that allow for the incorporation of isotopic variation within glycan structures. The novel feature of the compounds is the ability to incorporate the isotopes in a controlled manner, allowing for the generation of four tags that vary only in their isotopic content. This allows for the direct comparisons of three samples or triplicate measurements with an internal standard within one mass spectral analysis. Quantitation of partially depolymerized glycosaminoglycan mixtures, as well as N-linked glycans released from fetuin, is used to demonstrate the utility of the tetraplex tagging strategy.

A study of indirect reciprocity involving a reputation system or a simple tag system in a one-shot, multi-player game

The possibility of the evolution of cooperation backed by indirect reciprocity (IDR) in a one-shot, multi-player game is investigated focusing on two mechanisms. First of all, the reputation system with image score (RS with IS), as proposed by Nowak and Sigmund [Nowak, M.A., Sigmund, K., 1998. Evolution of indirect reciprocity by image scoring. Nature 393, 573–577], is investigated in various game structures. A numerical experiment demonstrates that the RS with IS is a robust mechanism for the support of IDR in various dilemma games, but whose effectiveness decreases with an increase in the number of players in a game. It is fair to say that the RS is an information mapping function to relate between player's cooperative fraction on his action and IS. As the second mechanism, a simple tag system which could be applicable to animals having no cognitive complexity is considered to support IDR. Computer simulations of the tag system's strategy for invading a population initially consisting of AllD, AllC, and Random strategies suggest several novel facts. The Tag strategy with plausible crossover and mutation probabilities can only invade to settle down if the game structure is not Trivial and contains a moderate dilemma. The Tag strategy's evolutionary competition takes place mainly in the presence of the AllD strategy. During the competition, the Tag strategy frequently metamorphoses to shake off the AllD strategy, but stops after winning in order to avoid a shrinking payoff due to fragmentation.

Expression and purification in high yield of a functionally active recombinant human Type I inositol(1,4,5) P3 5-phosphatase

Inositol polyphosphates are the most widespread second messenger molecules in eukaryotic cells. Human Type I inositol 1,4,5-triphosphate (Ins(1,4,5) P 3) 5-phosphatase removes the D-5 position phosphate from soluble Ins(1,4,5) P 3, a key event in cell signaling particularly in Ca 2+ homeostasis. In this study, the cDNA encoding human Type I Ins(1,4,5) P 3 5-phosphatase was subcloned into a modified pMAL expression vector. This plasmid produces a recombinant protein in fusion with affinity tags located at its N-terminus, consisting in a maltose binding protein (MPB) and an octa-histidine stretch. The construction was transformed into Escherichia coli BL21 (DE3) expression strain. This dual tag strategy allows the purification of milligrams of highly purified protein. The recombinant human Type I Ins(1,4,5) P 3 5-phosphatase is active and can thus be used for functional and structural studies.

Quantitative Proteomics Profiling of Sarcomere Associated Proteins in Limb and Extraocular Muscle Allotypes

The sarcomere is the major structural and functional unit of striated muscle. Approximately 65 different proteins have been associated with the sarcomere, and their exact composition defines the speed, endurance, and biology of each individual muscle. Past analyses relied heavily on electrophoretic and immunohistochemical techniques, which only allow the analysis of a small fraction of proteins at a time. Here we introduce a quantitative label-free, shotgun proteomics approach to differentially quantitate sarcomeric proteins from microgram quantities of muscle tissue in a fast and reliable manner by liquid chromatography and mass spectrometry. The high sequence similarity of some sarcomeric proteins poses a problem for shotgun proteomics because of limitations in subsequent database search algorithms in the exclusive assignment of peptides to specific isoforms. Therefore multiple sequence alignments were generated to improve the identification of isoform specific peptides. This methodology was used to compare the sarcomeric proteome of the extraocular muscle allotype to limb muscle. Extraocular muscles are a unique group of highly specialized muscles with distinct biochemical, physiological, and pathological properties. We were able to quantitate 40 sarcomeric proteins; although the basic sarcomeric proteins in extraocular muscle are similar to those in limb muscle, key proteins stabilizing the connection of the Z-bands to thin filaments and the costamere are augmented in extraocular muscle and may represent an adaptation to the eccentric contractions known to normally occur during eye movements. Furthermore, a number of changes are seen that closely relate to the unique nature of extraocular muscle.

On the Proper Use of Mass Accuracy in Proteomics

Mass measurement is the main outcome of mass spectrometry-based proteomics yet the potential of recent advances in accurate mass measurements remains largely unexploited. There is not even a clear definition of mass accuracy in the proteomics literature, and we identify at least three uses of this term: anecdotal mass accuracy, statistical mass accuracy, and the maximum mass deviation (MMD) allowed in a database search. We suggest using the second of these terms as the generic one. To make the best use of the mass precision offered by modern instruments we propose a series of simple steps involving recalibration of the data on "internal standards" contained in every proteomics data set. Each data set should be accompanied by a plot of mass errors from which the appropriate MMD can be chosen. More advanced uses of high mass accuracy include an MMD that depends on the signal abundance of each peptide. Adapting search engines to high mass accuracy in the MS/MS data is also a high priority. Proper use of high mass accuracy data can make MS-based proteomics one of the most "digital" and accurate post-genomics disciplines.

Folksonomies, Tagging Communities, and Tagging Strategies–An Empirical Study

The subject of this article is folksonomies on the Internet. One of the largest folksonomies on the Internet in terms of number of users and tagged websites is the computer program del.icio.us, where more than 100,000 people have tagged the websites that they and others find using their own keywords. How this is done in practice and the patterns to be found are the focus of this article. The empirical basis is the collection of 76,601 different keywords with a total frequency of 178,215 from 500 randomly chosen taggers on del.icio.us. at the end of 2005. The keywords collected were then analyzed quantitatively statistically by uncovering their frequency and percentage distribution and through a statistical correspondence analysis in order to uncover possible patterns in the users' tags. Subsequently, a qualitative textual analysis of the tags was made in order to find out by analysis which tagging strategies are represented in the data material. This led to four conclusions. 1) the distribution of keywords follows classic power law; 2) distinct tagging communities are identifiable; 3) the most frequently used tags are situated on a general-specific axis; and 4) nine distinct tagging strategies are observed. These four conclusions are put into perspective collectively in respect of a number of more general and theoretical considerations concerning folksonomies and the classification systems of the future.

PEPPeR, a Platform for Experimental Proteomic Pattern Recognition

Quantitative proteomics holds considerable promise for elucidation of basic biology and for clinical biomarker discovery. However, it has been difficult to fulfill this promise due to over-reliance on identification-based quantitative methods and problems associated with chromatographic separation reproducibility. Here we describe new algorithms termed "Landmark Matching" and "Peak Matching" that greatly reduce these problems. Landmark Matching performs time base-independent propagation of peptide identities onto accurate mass LC-MS features in a way that leverages historical data derived from disparate data acquisition strategies. Peak Matching builds upon Landmark Matching by recognizing identical molecular species across multiple LC-MS experiments in an identity-independent fashion by clustering. We have bundled these algorithms together with other algorithms, data acquisition strategies, and experimental designs to create a Platform for Experimental Proteomic Pattern Recognition (PEPPeR). These developments enable use of established statistical tools previously limited to microarray analysis for treatment of proteomics data. We demonstrate that the proposed platform can be calibrated across 2.5 orders of magnitude and can perform robust quantification of ratios in both simple and complex mixtures with good precision and error characteristics across multiple sample preparations. We also demonstrate de novo marker discovery based on statistical significance of unidentified accurate mass components that changed between two mixtures. These markers were subsequently identified by accurate mass-driven MS/MS acquisition and demonstrated to be contaminant proteins associated with known proteins whose concentrations were designed to change between the two mixtures. These results have provided a real world validation of the platform for marker discovery.

A Quantitative Results-driven Approach to Analyzing Multisite Protein Phosphorylation

Multisite protein phosphorylation appears to be quite common. Nevertheless our understanding of how multiple phosphorylation events regulate the function of a protein is limited in many cases. The ability to measure temporal changes in the site-specific phosphorylation profile of a protein in response to a given stimulus or cellular activity would provide an immediate indication of the functional significance of any phosphorylation site to a given process. Here we describe a mass spectrometry-based method to identify functionally relevant phosphorylation sites on a protein. It combines stable isotope labeling with a highly selective mass spectrometry analysis to detect and quantitate phosphorylation sites in response to a cellular signal. This approach requires no a priori knowledge of the phosphorylation state of the protein, does not require purification of phosphopeptides, and reliably detects substoichiometric levels of phosphorylation. Following a review of the quantitative results, only those phosphorylation sites that show a change in relative abundance are selected for identification and further study. We used this results-driven approach to study phosphorylation of the budding yeast transcription factor Pho4 in response to phosphate starvation. Phosphorylation of Pho4 on five cyclin-dependent kinase (Cdk) consensus sites has been shown to regulate the transcriptional activity of Pho4 in response to changes in environmental phosphate levels. Here we show that in phosphate-rich medium Pho4 is phosphorylated on at least 15 distinct sites including the five Cdk sites described previously. In excellent agreement with the known mechanism for regulation of Pho4 we found that phosphorylation at all five of the Cdk sites was repressed in phosphate-depleted medium. In addition to these five sites, we identified four novel phosphorylation sites that were also responsive to changes in phosphate availability. Selecting a limited number of Pho4 phosphorylation sites, we performed a more detailed kinetic analysis using an isotope-free strategy. We used LC-MS with selected reaction monitoring to greatly improve the accuracy, sensitivity, and dynamic range of the subsequent experiments. A detailed analysis of the cell-based phosphorylation at the selected Pho4 sites confirmed an apparent site preference for the Pho80-Pho85 cyclin-cyclin-dependent kinase complex.

Analysis of the defence phosphoproteome of Arabidopsis thaliana using differential mass tagging

Despite recent advances in proteomic technologies, quantitative analysis of the proteome remains a challenging task. Phosphorylation of proteins is central to signal transduction pathways and plays an important role in plant defence against pathogens, although the immediate targets of kinases remain elusive. Determining changes in the phosphoproteome during the defence response is a major goal in molecular plant pathology. In this first description of the novel mass tagging strategy (iTRAQ Applied Biosystems) applied to plant pathogen interactions, we describe early changes to the phosphoproteome of Arabidopsis thaliana during the defence response to Pseudomonas syringae pv. tomato DC3000. We identified five proteins which showed reproducible differences between a control and three different bacterial challenges, thus identifying proteins potentially phosphorylated as part of a plant basal defence response. Four of the five proteins a dehydrin, a putative p23 co-chaperone, heat shock protein 81 and a plastid-associated protein (PAP)/fibrillin, are known to be phosphorylated or have potential phosphorylation sites. One further protein, the large subunit of Rubisco, showed a significant difference between tissue undergoing the hypersensitive response and a basal defence response. We document the reproducibility, utility and problems associated with this approach.

Targeted Ds-tagging strategy generates high allelic diversity at the Arabidopsis HY2 locus

The targeted (or directed) tagging is a strategy aimed to mobilize a tranposon into a specific gene (target). Only a very few Arabidopsis genes have been tagged by this way, thus the efficiency of the strategy, as well as the diversity of the alleles obtained are not well documented. We have used a maize Ds element in a directed tagging of HY2. The starting Ds element, located 22 kb proximal to HY2, has been remobilized in a cross with an Ac transposase source line. From the F2 progeny of 4800 F1 we phenotypically isolated seven hy2 mutants. Molecular analysis of these alleles revealed that two contained a Ds element in HY2 and were instable, three have a large deletion that partially or completely removed HY2, one has a footprint in a HY2 exon and one leaky allele consisted of a 22 kb inversion upstream the HY2 coding sequence. Thus, the transposon-based directed tagging strategy generates a wide diversity of tagged and non-tagged alleles that can be used to generate allelic series or deletion of clustered genes.

The value of gene-based selection of tag SNPs in genome-wide association studies

Genome-wide association scans are rapidly becoming reality, but there is no present consensus regarding genotyping strategies to optimise the discovery of true genetic risk factors. For a given investment in genotyping, should tag SNPs be selected in a gene-centric manner, or instead, should coverage be optimised based on linkage disequilibrium alone? We explored this question using empirical data from the HapMap-ENCODE project, and we found that tags designed specifically to capture common variation in exonic and evolutionarily conserved regions provide good coverage for 15-30% of the total common variation (depending on the population sample studied), and yield genotype savings compared with an anonymous tagging approach that captures all common variation. However, the same number of tags based on linkage disequilibrium alone captures substantially more (30-46%) of the total common variation. Therefore, the best strategy depends crucially on the unknown degree to which functional variation resides in recognisable exons and evolutionarily conserved sequence. A hypothetical but reasonable scenario might be one in which trait-causing variation is equally distributed between exons plus conserved sequence, and the rest of the genome. In this scenario, our analysis suggests that a tagging approach that captures variation in exons and conserved sequence provides only modestly better coverage of putatively causal variation than does anonymous tagging. In HapMap CEU samples (with northern and western European ancestry), we observed roughly equivalent coverage for equal investment for both tagging strategies.

Quantitative proteome analysis of breast cancer cell lines using18O-labeling and an accurate mass and time tag strategy

Proteome comparison of cell lines derived from cancer and normal breast epithelium provide opportunities to identify differentially expressed proteins and pathways associated with specific phenotypes. We employed 16O/18O peptide labeling, FT-ICR MS, and an accurate mass and time (AMT) tag strategy to simultaneously compare the relative abundance of hundreds of proteins in non-cancer and cancer cell lines derived from breast tissue. A cell line reference panel allowed relative protein abundance comparisons among multiple cell lines and across multiple experiments. A peptide database generated from multidimensional LC separations and MS/MS analysis was used for subsequent AMT tag-based peptide identifications. This peptide database represented a total of 2299 proteins, including 514 that were quantified in five cell lines using the AMT tag and 16O/18O strategies. Eighty-six proteins showed at least a threefold protein abundance change between cancer and non-cancer cell lines. Hierarchical clustering of protein abundance ratios revealed that several groups of proteins were differentially expressed between the cancer cell lines.

Methods of quantitative proteomics and their application to plant organelle characterization

Many cell biologists wish to know the subcellular localization of proteins of interest. Proteomics methods have the potential to describe the entire protein content of organelles. However, practical limitations in organelle isolation and analysis of low abundance proteins have meant that organelle proteomics has had, until recently, only limited success. Some examples of quantitative proteomic methods and their use in the study of plant organelle proteomes are discussed here. It is concluded that 2D-difference gel electrophoresis (2D-DIGE) as well as differential isotope tagging strategies coupled to non-gel-based LC-MS are proving useful in this area of research.

Derivatisation of arginine residues with malondialdehyde for the analysis of peptides and protein digests by LC‐ESI‐MS/MS

In this study a selective tagging strategy for the derivatisation of arginine residues in peptides is presented. It is based on the reaction of the guanidine group of the arginine side-chain with malondialdehyde (MDA) under strongly acidic conditions, in which a stable pyrimidine ring is formed. The reaction conditions have been optimised so that quantitative modification can be achieved for a variety of peptides. The label has a strong influence on the polarity and basicity of the arginine side-chain and thus on the chromatographic and mass spectrometric properties of arginine-containing peptides. For example, retention, particularly of small and polar peptides as well as arginine-rich peptides, is significantly increased by derivatisation, and therefore sensitivity is also enhanced in liquid chromatography-mass spectrometry (LC-MS). The arginine side-chain also has a strong impact on the fragmentation behaviour of peptides in tandem mass spectrometry. This has been investigated for standard peptides for which, in some cases, significantly more fragment ions were formed after derivatisation. Finally, the method was tested for tryptic digests of standard proteins to demonstrate how the tagging strategy can give improved or complementary information for protein identification.

Selective mobility and sensitivity to SNAREs is exhibited by the Arabidopsis KAT1 K+ channel at the plasma membrane.

Recent findings indicate that proteins in the SNARE superfamily are essential for cell signaling, in addition to facilitating vesicle traffic in plant cell homeostasis, growth, and development. We previously identified SNAREs SYP121/Syr1 from tobacco (Nicotiana tabacum) and the Arabidopsis thaliana homolog SYP121 associated with abscisic acid and drought stress. Disrupting tobacco SYP121 function by expressing a dominant-negative Sp2 fragment had severe effects on growth, development, and traffic to the plasma membrane, and it blocked K(+) and Cl(-) channel responses to abscisic acid in guard cells. These observations raise questions about SNARE control in exocytosis and endocytosis of ion channel proteins and their organization within the plane of the membrane. We have used a dual, in vivo tagging strategy with a photoactivatable green fluorescent protein and externally exposed hemagglutinin epitopes to monitor the distribution and trafficking dynamics of the KAT1 K(+) channel transiently expressed in tobacco leaves. KAT1 is localized to the plasma membrane within positionally stable microdomains of approximately 0.5 microm in diameter; delivery of the K(+) channel, but not of the PMA2 H(+)-ATPase, to the plasma membrane is suppressed by Sp2 fragments of tobacco and Arabidopsis SYP121, and Sp2 expression leads to profound changes in KAT1 distribution and mobility within the plane of the plasma membrane. These results offer direct evidence for SNARE-mediated traffic of the K(+) channel and a role in its distribution within subdomains of the plasma membrane, and they implicate a role for SNAREs in positional anchoring of the K(+) channel protein.

Transcriptome analysis of expressed sequence tags from the venom glands of the fish Thalassophryne nattereri

Thalassophryne nattereri (niquim) is a venomous fish found on the northern and northeastern coasts of Brazil. Every year, hundreds of humans are affected by the poison, which causes excruciating local pain, edema, and necrosis, and can lead to permanent disabilities. In experimental models, T. nattereri venom induces edema and nociception, which are correlated to human symptoms and dependent on venom kininogenase activity; myotoxicity; impairment of blood flow; platelet lysis and cytotoxicity on endothelial cells. These effects were observed with minute amounts of venom. To characterize the primary structure of T. nattereri venom toxins, a list of transcripts within the venom gland was made using the expressed sequence tag (EST) strategy. Here we report the analysis of 775 ESTs that were obtained from a directional cDNA library of T. nattereri venom gland. Of these ESTs, 527 (68%) were related to sequences previously described. These were categorized into 10 groups according to their biological functions. Sequences involved in gene and protein expression accounted for 14.3% of the ESTs, reflecting the important role of protein synthesis in this gland. Other groups included proteins engaged in the assembly of disulfide bonds (0.5%), chaperones involved in the folding of nascent proteins (1.4%), and sequences related to clusterin (1.5%), as well as transcripts related to calcium binding proteins (1.0%). We detected a large cluster (1.3%) related to cocaine- and amphetamine-regulated transcript (CART), a peptide involved in the regulation of food intake. Surprisingly, several retrotransposon-like sequences (1.0%) were found in the library. It may be that their presence accounts for some of the variation in venom toxins. The toxin category (18.8%) included natterins (18%), which are a new group of kininogenases recently described by our group, and a group of C-type lectins (0.8%). In addition, a considerable number of sequences (32%) was not related to sequences in the databases, which indicates that a great number of new toxins and proteins are still to be discovered from this fish venom gland.

Differential Label-free Quantitative Proteomic Analysis of Shewanella oneidensis Cultured under Aerobic and Suboxic Conditions by Accurate Mass and Time Tag Approach

We describe the application of LC-MS without the use of stable isotope labeling for differential quantitative proteomic analysis of whole cell lysates of Shewanella oneidensis MR-1 cultured under aerobic and suboxic conditions. LC-MS/MS was used to initially identify peptide sequences, and LC-FTICR was used to confirm these identifications as well as measure relative peptide abundances. 2343 peptides covering 668 proteins were identified with high confidence and quantified. Among these proteins, a subset of 56 changed significantly using statistical approaches such as statistical analysis of microarrays, whereas another subset of 56 that were annotated as performing housekeeping functions remained essentially unchanged in relative abundance. Numerous proteins involved in anaerobic energy metabolism exhibited up to a 10-fold increase in relative abundance when S. oneidensis was transitioned from aerobic to suboxic conditions.