Strategies to improve plasma half life time of peptide and protein drugs

Summary. Due to the obvious advantages of long-acting peptide and protein drugs, strategies to prolong plasma half life time of such compounds are highly on demand. Short plasma half life times are commonly due to fast renal clearance as well as to enzymatic degradation occurring during systemic circulation. Modifications of the peptide/protein can lead to prolonged plasma half life times. By shortening the overall amino acid amount of somatostatin and replacing l-analogue amino acids with d-amino acids, plasma half life time of the derivate octreotide was 1.5 hours in comparison to only few minutes of somatostatin. A PEG_2,40 K conjugate of INF-α-2b exhibited a 330-fold prolonged plasma half life time compared to the native protein. It was the aim of this review to provide an overview of possible strategies to prolong plasma half life time such as modification of N- and C-terminus or PEGylation as well as methods to evaluate the effectiveness of drug modifications. Furthermore, fundamental data about most important proteolytic enzymes of human blood, liver and kidney as well as their cleavage specificity and inhibitors for them are provided in order to predict enzymatic cleavage of peptide and protein drugs during systemic circulation.     

Statistical validation of peptide identifications in large-scale proteomics using the target-decoy database search strategy and flexible mixture modeling

Reliable statistical validation of peptide and protein identifications is a top priority in large-scale mass spectrometry based proteomics. PeptideProphet is one of the computational tools commonly used for assessing the statistical confidence in peptide assignments to tandem mass spectra obtained using database search programs such as SEQUEST, MASCOT, or X! TANDEM. We present two flexible methods, the variable component mixture model and the semiparametric mixture model, that remove the restrictive parametric assumptions in the mixture modeling approach of PeptideProphet. Using a control protein mixture data set generated on an linear ion trap Fourier transform (LTQ-FT) mass spectrometer, we demonstrate that both methods improve parametric models in terms of the accuracy of probability estimates and the power to detect correct identifications controlling the false discovery rate to the same degree. The statistical approaches presented here require that the data set contain a sufficient number of decoy (known to be incorrect) peptide identifications, which can be obtained using the target-decoy database search strategy.     

Probability-based evaluation of peptide and protein identifications from tandem mass spectrometry and SEQUEST analysis: the human proteome

Large-scale protein identifications from highly complex protein mixtures have recently been achieved using multidimensional liquid chromatography coupled with tandem mass spectrometry (LC/LC-MS/MS) and subsequent database searching with algorithms such as SEQUEST. Here, we describe a probability-based evaluation of false positive rates associated with peptide identifications from three different human proteome samples. Peptides from human plasma, human mammary epithelial cell (HMEC) lysate, and human hepatocyte (Huh)-7.5 cell lysate were separated by strong cation exchange (SCX) chromatography coupled offline with reversed-phase capillary LC-MS/MS analyses. The MS/MS spectra were first analyzed by SEQUEST, searching independently against both normal and sequence-reversed human protein databases, and the false positive rates of peptide identifications for the three proteome samples were then analyzed and compared. The observed false positive rates of peptide identifications for human plasma were significantly higher than those for the human cell lines when identical filtering criteria were used, suggesting that the false positive rates are significantly dependent on sample characteristics, particularly the number of proteins found within the detectable dynamic range. Two new sets of filtering criteria are proposed for human plasma and human cell lines, respectively, to provide an overall confidence of >95% for peptide identifications. The new criteria were compared, using a normalized elution time (NET) criterion (Petritis et al. Anal. Chem. 2003, 75, 1039-1048), with previously published criteria (Washburn et al. Nat. Biotechnol. 2001, 19, 242-247). The results demonstrate that the present criteria provide significantly higher levels of confidence for peptide identifications from mammalian proteomes without greatly decreasing the number of identifications.     

BuildSummary: using a group-based approach to improve the sensitivity of peptide/protein identification in shotgun proteomics

The target-decoy database search strategy is widely accepted as a standard method for estimating the false discovery rate (FDR) of peptide identification, based on which peptide-spectrum matches (PSMs) from the target database are filtered. To improve the sensitivity of protein identification given a fixed accuracy (frequently defined by a protein FDR threshold), a postprocessing procedure is often used that integrates results from different peptide search engines that had assayed the same data set. In this work, we show that PSMs that are grouped by the precursor charge, the number of missed internal cleavage sites, the modification state, and the numbers of protease termini and that the proteins grouped by their unique peptide count should be filtered separately according to the given FDR. We also develop an iterative procedure to filter the PSMs and proteins simultaneously, according to the given FDR. Finally, we present a general framework to integrate the results from different peptide search engines using the same FDR threshold. Our method was tested with several shotgun proteomics data sets that were acquired by multiple LC/MS instruments from two different biological samples. The results showed a satisfactory performance. We implemented the method in a user-friendly software package called BuildSummary, which can be downloaded for free from http://www.proteomics.ac.cn/software/proteomicstools/index.htm as part of the software suite ProteomicsTools.     

A robust linear regression based algorithm for automated evaluation of peptide identifications from shotgun proteomics by use of reversed-phase liquid chromatography retention time

Background  

Rejection of false positive peptide matches in database searches of shotgun proteomic experimental data is highly desirable. Several methods have been developed to use the peptide retention time as to refine and improve peptide identifications from database search algorithms. This report describes the implementation of an automated approach to reduce false positives and validate peptide matches.     

Beyond origami: using behavioural observations as a strategy to improve trap design

In contrast to ad hoc methods of developing traps for pest monitoring systems, a systematic approach using direct observation of animals allowed a greater understanding of the reasons why trap catch was significantly different in traps of basically similar design. The information gained using this approach could then be used to guide the further development of the trap. The same feature on two related designs of cockroach trap was varied: the slope of the ramp leading into the trap was either 60°, 30°, or 0°. The 30° ramp version of both traps caught significantly more Blattella germanica (L.) (Dictyoptera: Blattellidae). The 60° and 0° ramp versions both caught equal, lower, numbers but observation showed that these net catches were achieved by quite different means; few insects entered over the 60° ramps but none escaped, whereas all entered over the 0° ramps but half escaped. Similar approaches could be applied to other insect-trap systems.     

Data analysis strategy for maximizing high-confidence protein identifications in complex proteomes such as human tumor secretomes and human serum

Detection of biologically interesting, low-abundance proteins in complex proteomes such as serum typically requires extensive fractionation and high-performance mass spectrometers. Processing of the resulting large data sets involves trade-offs between confidence of identification and depth of protein coverage; that is, higher stringency filters preferentially reduce the number of low-abundance proteins identified. In the current study, an alternative database search and results filtering strategies were evaluated using test samples ranging from purified proteins to ovarian tumor secretomes and human serum to maximize peptide and protein coverage. Full and partial tryptic searches were compared because substantial numbers of partial tryptic peptides were observed in all samples, and the proportion of partial tryptic peptides was particularly high for serum. When data filters that yielded similar false discovery rates (FDR) were used, full tryptic searches detected far fewer peptides than partial tryptic searches. In contrast to the common practice of using full tryptic specificity and a narrow precursor mass tolerance, more proteins and peptides could be confidently identified using a partial tryptic database search with a 100 ppm precursor mass tolerance followed by filtering of results using 10 ppm mass error and full tryptic boundaries.     

Application of peptide LC retention time information in a discriminant function for peptide identification by tandem mass spectrometry

We describe the application of a peptide retention time reversed phase liquid chromatography (RPLC) prediction model previously reported (Petritis et al. Anal. Chem. 2003, 75, 1039) for improved peptide identification. The model uses peptide sequence information to generate a theoretical (predicted) elution time that can be compared with the observed elution time. Using data from a set of known proteins, the retention time parameter was incorporated into a discriminant function for use with tandem mass spectrometry (MS/MS) data analyzed with the peptide/protein identification program SEQUEST. For singly charged ions, the number of confident identifications increased by 12% when the elution time metric is included compared to when mass spectral data is the sole source of information in the context of a Drosophila melanogaster database. A 3-4% improvement was obtained for doubly and triply charged ions for the same biological system. Application to the larger Rattus norvegicus (rat) and human proteome databases resulted in an 8-9% overall increase in the number of confident identifications, when both the discriminant function and elution time are used. The effect of adding "runner-up" hits (peptide matches that are not the highest scoring for a spectra) from SEQUEST is also explored, and we find that the number of confident identifications is further increased by 1% when these hits are also considered. Finally, application of the discriminant functions derived in this work with approximately 2.2 million spectra from over three hundred LC-MS/MS analyses of peptides from human plasma protein resulted in a 16% increase in confident peptide identifications (9022 vs 7779) using elution time information. Further improvements from the use of elution time information can be expected as both the experimental control of elution time reproducibility and the predictive capability are improved.     

Western blot analysis of Src kinase assays using peptide substrates ligated to a carrier protein

We have applied intein-mediated peptide ligation (IPL) to the use of peptide substrates for kinase assays and subsequent Western blot analysis. IPL allows for the efficient ligation of a synthetic peptide with an N-terminal cysteine residue to an intein-generated carrier protein containing a cysteine reactive C-terminal thioester through a native peptide bond. A distinct advantage of this procedure is that each carrier protein molecule ligates only one peptide, ensuring that the ligation product forms a sharp band on sodium dodecyl sulfate polyacrylamide gel electrophoresis (SDS-PAGE). We demonstrate the effectiveness of this approach by mutational analysis of peptide substrates derived from human cyclin-dependent kinase, Cdc2, which contains a phosphorylation site of human c-Src protein tyrosine kinase.     

Mass spectral analysis of a protein complex using single-chain antibodies selected on a peptide target: applications to functional genomics

Genome projects are identifying an ever-increasing number of genes, accelerating the need for reagents to study the expression of these genes and elucidate the function and cellular location of the gene products. Our goal was to develop a strategy to allow human single-chain variable fragment (scFv) antibodies to be used for these endeavors. A library containing 7x10(9) individual variants was displayed by bacteriophage and selected against a biotinylated peptide corresponding to the C-terminal 15 amino acid residues of Ku86, one component of a heterodimer involved in double-stranded DNA break repair. Four unique scFv antibodies were recovered that not only recognized the selected peptide, but also the intact protein. Three of the scFv antibodies were expressed in soluble form and recognized Ku86 by Western analysis. The affinity of one of the scFv antibodies for Ku86 was 16 nM as measured by BIAcore analysis. scFv immunoprecipitation of Ku86 also isolated the other component of the heterodimer, Ku70, as determined by Western analysis and mass spectrometry. These results demonstrate the utility of scFv antibodies as invaluable reagents for functional genomics.     

Perspective: a program to improve protein biomarker discovery for cancer

Biomarkers for cancer risk, early detection, prognosis, and therapeutic response promise to revolutionize cancer management. Protein biomarkers offer tremendous potential in this regard due to their great diversity and intimate involvement in physiology. An effective program to discover protein biomarkers using existing technology will require team science, an integrated informatics platform, identification and quantitation of candidate biomarkers in disease tissue, mouse models of disease, standardized reagents for analyzing candidate biomarkers in bodily fluids, and implementation of automation. Technology improvements for better fractionation of the proteome, selection of specific biomarkers from complex mixtures, and multiplexed assay of biomarkers would greatly enhance progress.     

Pharmacologic targeting of endothelial Ca2+-activated K+ channels: A strategy to improve cardiovascular function

Endothelial small and intermediate-conductance, Ca²⁺-activated K⁺ channels (KCa2.3 and KCa3.1, respectively) play an important role in the regulation of vascular function and systemic blood pressure. Growing evidence indicates that they are intimately involved in agonist-evoked vasodilation of small resistance arteries throughout the circulation. Small molecule activators of KCa2.x and 3.1 channels, such as SKA-31, can acutely inhibit myogenic tone in isolated resistance arteries, induce effective vasodilation in intact vascular beds, such as the coronary circulation, and acutely decrease systemic blood pressure in vivo. The blood pressure-lowering effect of SKA-31, and early indications of improvement in endothelial dysfunction suggest that endothelial KCa channel activators could eventually be developed into a new class of endothelial targeted agents to combat hypertension or atherosclerosis. This review summarises recent insights into the activation of endothelial Ca²⁺ activated K⁺ channels in various vascular beds, and how tools, such as SKA-31, may be beneficial in disease-related conditions.     

A non-covalent peptide-based strategy for protein and peptide nucleic acid transduction

The development of therapeutic peptides and proteins is limited by the poor permeability and the selectivity of the cell membrane. The discovery of protein transduction domains has given a new hope for administration of large proteins and peptides in vivo. We have developed a non-covalent strategy for protein transduction based on an amphipathic peptide, Pep-1, that consists of a hydrophobic domain and a hydrophilic lysine-rich domain. Pep-1 efficiently delivers a variety of fully biologically active peptides and proteins into cells, without the need for prior chemical cross-linking or chemical modifications. The mechanism through which Pep-1 delivers active macromolecules does not involve the endosomal pathway and the dissociation of the Pep-1/macromolecule particle occurs immediately after it crosses the cell membrane. Pep-1 has been successfully applied to the screening of therapeutic peptides in vivo and presents several advantages: stability in physiological buffer, lack of toxicity and of sensitivity to serum. In conclusion, Pep-1 technology could contribute significantly to the development of fundamental and therapeutic applications and be an alternative to covalent protein transduction domain-based technologies.     

ANTHEPROT: a package for protein sequence analysis using a microcomputer

A simple microcomputer package is described to make the theoreticalanalysis of protein sequences. Several methods designed to comparetwo sequences, to model proteolytic reactions and to predictthe secondary structure, the hydro-phobic/hydrophilic regionsand the potential antigenic sites of proteins have been includedin an Apple II microcomputer software. The package comprises21 programs as well as the secondary structure database of Kabschand Sander (1983). Received on November 24, 1987; accepted on March 8, 1988     

Photo-assisted peptide enrichment in protein complex cross-linking analysis of a model homodimeric protein using mass spectrometry

MS analysis of cross-linked peptides can be used to probe protein contact sites in macromolecular complexes. We have developed a photo-cleavable cross-linker that enhances peptide enrichment, improving the signal-to-noise ratio of the cross-linked peptides in mass spectrometry analysis. This cross-linker utilizes nitro-benzyl alcohol group that can be cleaved by UV irradiation and is stable during the multiple washing steps used for peptide enrichment. The enrichment method utilizes a cross-linker that aids in eliminating contamination resulting from protein-based retrieval systems, and thus, facilitates the identification of cross-linked peptides. Homodimeric pilM protein from Pseudomonas aeruginosa 2192 (pilM) was investigated to test the specificity and experimental conditions. As predicted, the known pair of lysine side chains within 14?? was cross-linked. An unexpected cross-link involving the protein's amino terminus was also detected. This is consistent with the predicted mobility of the amino terminus that may bring the amino groups within 19?? of one another in solution. These technical improvements allow this method to be used for investigating protein-protein interactions in complex biological samples.     

Reproducibility of retention time using a splitless nanoLC coupled to an ESI-FTICR mass spectrometer.

Replicate injections of a myoglobin tryptic digest, ultrafiltrates of human serum, and ultrafiltrates of human plasma made on a splitless nanoscale liquid chromatography system coupled to a Fourier-transform ion cyclotron resonance mass spectrometer were utilized to assess analytical reproducibility. The mean (across 19 tryptic fragments detected in at least 3 of 24 replicate injections) of the 95% CIM of retention time is +/-6.3 sec and the maximum is +/-11.6 sec; when only those tryptic fragments that were found in 24 of 24 replicates are considered, the maximum 95% CIM of retention time drops to +/-6.7 sec. This represents a deviation of at most seven spectra. Similarly, in the serum (and plasma) filtrates, 95% of the 393 (312) species observed in 3 replicate injections had a 95% CIM of retention time of +/-22.0 (+/-18.5) sec or less. Ion abundance was similarly reproducible, with an average across those tryptic fragments observed in all 24 replicates of the coefficient of variation of ion abundance equal to 37.0%. This reproducibility represents a significant improvement over prior work, which required flow splitting in order to achieve nanoliter-per-minute flow rates. These improvements in retention time reproducibility will also be observed with mass spectrometers employing mass analyzers other than FT-ICR.     

DTASelect and Contrast: tools for assembling and comparing protein identifications from shotgun proteomics

The components of complex peptide mixtures can be separated by liquid chromatography, fragmented by tandem mass spectrometry, and identified by the SEQUEST algorithm. Inferring a mixture's source proteins requires that the identified peptides be reassociated. This process becomes more challenging as the number of peptides increases. DTASelect, a new software package, assembles SEQUEST identifications and highlights the most significant matches. The accompanying Contrast tool compares DTASelect results from multiple experiments. The two programs improve the speed and precision of proteomic data analysis.