The Development of an Isotope Dilution Mass Spectrometry Method for Interleukin-6 Quantification.

Inflammatory responses and tumor developments are closely related, with interleukin-6 (IL-6) playing important roles in both processes. IL-6 has been extensively identified as a potential tumor biomarker. This study developed an isotope dilution mass spectrometry (IDMS) method for quantifying IL-6 based on signature peptides. These peptides were screened by excluding those with missed cleavage or post-translational modification. The method's accuracy was verified using amino acid-based IDMS, in which purified IL-6 protein samples were quantified after hydrolyzing them into amino acids, and no significant difference was observed (p-value < 0.05). The method demonstrated good linearity and sensitivity upon testing. The specificity and matrix effect of the method were verified, and a precision study showed that the coefficient of variation was less than 5% for both the intra-day and inter-day tests. Compared to immunoassays, this method offers distinct advantages, such as the facilitation of multi-target analysis. Furthermore, the peptides used in this study are much more convenient for storage and operation than the antibodies or purified proteins typically used in immunoassays.

Simultaneously tracing the geographical origin and presence of bovine milk in Italian water buffalo Mozzarella cheese using MALDI-TOF data of casein signature peptides.

Water buffalo (WB) casein (CN) and curd samples from indigenous Italian and international breeds were examined with the objective of identifying signature peptides that could function as an indicator to determine the origin of their milk products. CN in complex mixtures were digested with trypsin, and peptide fragments were subsequently identified by matrix-assisted laser desorption/ionisation time-of-flight mass spectrometry (MALDI-TOF MS). The unique presence of a ß-CN A variant and an internally deleted αs1-CN (f35-42) variant in international WB milk samples was ascertained by identifying signature tryptic peptides from either dephosphorylated or native CN. Four signature unphosphorylated peptides derived from ß-CN A, i.e. (f49-68) Asn(68) (2223.6 Da), (f1-28) Ser(10) (3169.4 Da), (f1-29) Ser(10) (3297.4 Da) and (f33-48) Thr(41) (1982 Da) and two from αs1-CN (f35-42) deleted fragments, i.e. (f23-34) Met(31) (1415.7 Da) and (f43-58) Val(44) (1752.7 Da), were identified. Two signature casein phosphopeptides (CPPs), i.e. ß-CN (f1-28) 4P (3489.1 Da) and ß-CN (f33-48) 1P (2062.0 Da), were identified in the tryptic hydrolysate of native casein or curd and cheese samples using in-batch hydroxyapatite (HA) chromatography. All these fragments functioned as analytical surrogates of two αs1- and ß-casein variants that specifically occur in the milk of international WB breeds. Furthermore, the bovine peptide ß-CN (f1-28) 4P had a distinct and lower molecular mass compared with the WB counterpart and functioned as a species-specific marker for all breeds of WB. Advantages of this analytical approach are that (i) peptides are easier to separate than proteins, (ii) signature peptide probes originating from specific casein variants allow for the targeting of all international WB milk, curd and cheese samples and (iii) bovine and WB casein in mixtures can be simultaneously determined in protected designation of origin (PDO) "Mozzarella di Bufala Campana" cheese. This analytical method enabled the specific detection of international WB and bovine casein with a sensitivity threshold of 2 and 0.78 %, respectively. Graphical Abstract Monitoring of prototypic tryptic CPPs by MALDI-TOF analysis in Mediterranean (A), Romanian (B), Indian (C), Polish (D) and Canadian (E) curd samples to guarantee the authenticity of the PDO "Mozzarella di Bufala Campana" cheese.

Proteomics method to quantify the percentage of cow, goat, and sheep milks in raw materials for dairy products.

Fraud in milk and dairy products occurs when cow milk is added to sheep and goat milk for economic reasons. No reliable, selective, and sensitive method exists for quantifying the milk percentage of different species. This work reports the development and validation of a proteomics-based method for the qualitative detection and quantitative determination of cow, sheep, and goat milks in the raw materials used for dairy products. ß-Lactoglobulin was selected as the protein marker because it is a major protein in milk and whey powder. The tryptic peptides LSFNPTQLEEQCHI and LAFNPTQLEGQCHV were used as signature peptides for cow milk and for sheep and goat milks, respectively. The winged peptides LKALPMHIRLSFNPTQL*EEQCHI* and LKALPMHIRLAFNPTQL*EGQCHV* were designed and synthesized as internal standards. Validation of the method showed that it has good sensitivity, specificity, reproducibility, precision, and accuracy. This method is easily applicable in routine laboratory analysis without intensive proteomics background.

The 20th anniversary of proteomics and some of its origins.

The term "proteome" was first introduced into the scientific literature in July 1995. Almost 20 years ago attempts to characterize the "total protein complement able to be encoded by a given genome" only became possible due to privileged access to what were then the world's most complete sets of genomic data. Today, proteomics has become an important pillar in the fields of disease diagnosis and drug research and development, while also playing a critical role in the much larger field of Healthcare Analytics and Biomarker Discovery and Detection. It is important to note that this industry originated mostly from building blocks in analytical science that predated the term "proteomics" by many decades. However, proteomics, as a discipline, has allowed protein scientists to more favorably compete in the face of highly fashionable Big Science and, more specifically, genomics.

Signature peptide selection workflow for biomarker quantification using LC-MS-based targeted proteomics.

In contrast to quantification of biotherapeutics, endogenous protein biomarker and target quantification using LC-MS based targeted proteomics can require a much more stringent and time-consuming tryptic signature peptide selection for each specific application. While some general criteria exist, there are no tools currently available in the public domain to predict the ionization efficiency for a given signature peptide candidate. Lack of knowledge of the ionization efficiencies forces investigators to choose peptides blindly, thus hindering method development for low abundant protein quantification. Here, the authors propose a tryptic signature peptide selection workflow to achieve a more efficient method development and to improve success rates in signature peptide selection for low abundant endogenous target and protein biomarker quantification.

Quantitative bioanalysis of proteins by digestion and LC-MS/MS: the use of multiple signature peptides.

The use of multiple signature peptides for the quantification of proteins by digestion and LC-MS/MS is reviewed and evaluated here. A distinction is made based on the purpose of the use of multiple peptides: confirmation of the protein concentration, discrimination between different protein forms or species and in vivo biotransformation. Most reports that describe methods with at least two peptides use these for confirmation, but it is not always mentioned how the peptides are used and how possible differences in concentration between the peptides are handled. Differences in concentration are often reported in the case of monitoring different protein forms or in vivo biotransformation, and this offers insight into the biological fate of the protein.

Multiplex Detection of 24 Staphylococcal Enterotoxins in Culture Supernatant Using Liquid Chromatography Coupled to High-Resolution Mass Spectrometry.

Staphylococcal food poisoning outbreaks are caused by the ingestion of food contaminated with staphylococcal enterotoxins (SEs). Among the 27 SEs described in the literature to date, only a few can be detected using immuno-enzymatic-based methods that are strongly dependent on the availability of antibodies. Liquid chromatography, coupled to high-resolution mass spectrometry (LC-HRMS), has, therefore, been put forward as a relevant complementary method, but only for the detection of a limited number of enterotoxins. In this work, LC-HRMS was developed for the detection and quantification of 24 SEs. A database of 93 specific signature peptides and LC-HRMS parameters was optimized using sequences from 24 SEs, including their 162 variants. A label-free quantification protocol was established to overcome the absence of calibration standards. The LC-HRMS method showed high performance in terms of specificity, sensitivity, and accuracy when applied to 49 enterotoxin-producing strains. SE concentrations measured depended on both SE type and the coagulase-positive staphylococci (CPS) strain. This study indicates that LC-MS is a relevant alternative and complementary tool to ELISA methods. The advantages of LC-MS clearly lie in both the multiplex analysis of a large number of SEs, and the automated analysis of a high number of samples.

Identification of Pinelliae Rhizoma and its counterfeit species based on enzymatic signature peptides from toxic proteins.

BACKGROUND: Pinelliae Rhizoma (PR), a toxic medication, with long history, is commonly used for eliminating phlegm. Due to the shortage of wild resources and the relative lacking of cultivation technology, it is often confused with its counterfeit species in the market, such as Typhonii Rhizoma (TR), Arisaematis Rhizoma (AR) and tubers of Typhonium flagelliforme (TF) and Pinellia pedatisecta (PP). PURPOSE: It was aimed to screen signature enzymatic peptides from toxic proteins to identify PR and its four counterfeit species. STUDY DESIGN: A comparative proteogenomics strategy based on open-source transcriptome data was applied for screening signature peptides from toxic proteins, which were applied for species authentication of PR and its counterfeit species. METHODS: Firstly, the open-source transcriptome data was used for constructing the annotated protein database, which was used for peptides identification. Secondly, the toxicity of different fractions of PR were evaluated by the rat peritoneal inflammation model. Furthermore, sodium dodecyl sulfate-polyacrylamide gel electrophoresis (SDS-PAGE) were used to profile the main proteins bands of five species, whose sequences were identified based on the in-gel digestion experiment by using ultra-high-performance liquid chromatography/quadrupole-Orbitrap mass spectrometry. Finally, the label-free proteomic analysis was performed to character the proteins and screen the signature peptides of five species, which were validated in commercially available products by dynamic multi reaction monitor (DMRM). RESULTS: The results in this study confirmed that protein was the main toxic components of PR. Both Pinellia ternata agglutinin (PTA) and trypsin inhibitor (TI) like proteins are the main proteins, which were characterized by proteomic analysis based on four annotated protein database. Meanwhile, seven signature peptides from toxic proteins were screened and validated with good repeatability and specificity in commercial products. CONCLUSION: Seven signature enzymatic peptides from toxic protein screened by the comparative proteogenomics strategy based on open-source transcriptome data achieved good identification ability of PR and its four counterfeit species.

LC-MS/MS Identification of Species-Specific Muscle Peptides in Processed Animal Proteins.

An innovative analytical strategy has been applied to identify signature peptides able to distinguish among processed animal proteins (PAPs) derived from bovine, pig, fish, and milk products. Proteomics was first used to elucidate the proteome of each source. Starting from the identified proteins and using a funnel based approach, a set of abundant and well characterized peptides with suitable physical-chemical properties (signature peptides) and specific for each source was selected. An on-target LC-ESI-MS/MS method (MRM mode) was set up using standard peptides and was then applied to selectively identify the PAP source and also to distinguish proteins from bovine carcass and milk proteins. We believe that the method described meets the request of the European Commission which has developed a strategy for gradually lifting the "total ban" toward "species to species ban", therefore requiring official methods for species-specific discrimination in feed.

Reagent-free LC-MS/MS-based pharmacokinetic quantification of polyhistidine-tagged therapeutic proteins.

AIM: Immobilized metal ion affinity chromatography is widely employed for purifying polyhistidine-tagged recombinant proteins from cell lysates. The technique can be applied for quantification of therapeutic proteins in biological matrices by LC-MS/MS. RESULTS: A protein reagent-free workflow was developed for quantifying polyhistidine-tagged proteins by LC-MS/MS. The workflow includes target protein enrichment by immobilized metal ion affinity chromatography, on-bead trypsin digestion and quantification of signature peptides by LC-MS/MS. It was applied to quantify a 6×His-tagged protein in a mouse pharmacokinetic study with assay sensitivity of 10.0 ng/ml and linearity up to 10,000 ng/ml. CONCLUSION: The protein reagent-free workflow developed herein can overcome reagent limitation and serve as a viable approach for quantifying polyhistidine-tagged therapeutic proteins to support discovery pharmacokinetic and pharmacodynamic studies.