Making Sharper Peaks for Reverse-Phase Liquid Chromatography of Proteins

Recent advances and challenges in the interaction between myofibrillar proteins and flavor substances

Myofibrillar proteins are an important component of proteins. Flavor characteristics are the key attributes of food quality. The ability of proteins to bind flavor is one of their most fundamental functional properties. The dynamic balance of release and retention of volatile flavor compounds in protein-containing systems largely affects the sensory quality and consumer acceptability of foods. At present, research on flavor mainly focuses on the formation mechanism of flavor components, while there are few reports on the release and perception of flavor components. This review introduces the composition and structure of myofibrillar proteins, the classification of flavor substances, the physical binding and chemical adsorption of myofibrillar proteins and volatile flavor substances, as well as clarifies the regulation law of flavor substances from the viewpoint of endogenous flavor characteristics and exogenous environment factors, to provide a theoretical reference for the flavor regulation of meat products.

Origins, Technological Advancement, and Applications of Peptidomics

Peptidomics is the comprehensive characterization of peptides from biological sources instead of heading for a few single peptides in former peptide research. Mass spectrometry allows to detect a multitude of peptides in complex mixtures and thus enables new strategies leading to peptidomics. The term was established in the year 2001, and up to now, this new field has grown to over 3000 publications. Analytical techniques originally developed for fast and comprehensive analysis of peptides in proteomics were specifically adjusted for peptidomics. Although it is thus closely linked to proteomics, there are fundamental differences with conventional bottom-up proteomics. Fundamental technological advancements of peptidomics since have occurred in mass spectrometry and data processing, including quantification, and more slightly in separation technology. Different strategies and diverse sources of peptidomes are mentioned by numerous applications, such as discovery of neuropeptides and other bioactive peptides, including the use of biochemical assays. Furthermore, food and plant peptidomics are introduced similarly. Additionally, applications with a clinical focus are included, comprising biomarker discovery as well as immunopeptidomics. This overview extensively reviews recent methods, strategies, and applications including links to all other chapters of this book.

Plant microProteins: Small but powerful modulators of plant development

MicroProteins (miPs) are small and single-domain containing proteins of less than 20 kDa. This domain allows microProteins to interact with compatible domains of evolutionary-related proteins and fine-tuning the key physiological pathways in several organisms. Since the first report of a microProtein in mice, numerous microProteins have been identified in plants by computational approaches. However, only a few candidates have been functionally characterized, primarily in Arabidopsis. The recent success of synthetic microProteins in modulating physiological activities in crops makes these proteins interesting candidates for crop engineering. Here, we comprehensively summarise the synthesis, mode of action, and functional roles of microProteins in plants. We also discuss different approaches used to identify plant microProteins. Additionally, we discuss novel approaches to design synthetic microProteins that can be used to target proteins regulating plant growth and development. We finally highlight the prospects and challenges of utilizing microProteins in future crop improvement programs.

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MicroProteins (miPs) are small-sized proteins with a molecular weight of 5–20 kDa

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MiPs can be detected through multiomics and computational approaches

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MiPs are crucial regulators of plant growth and development

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MiPs as condensates, synthetic miPs, and limitations

Identification and determination of structurally related peptide impurities in thymalfasin by liquid chromatography-high-resolution mass spectrometry

Thymalfasin is an important peptide drug widely used for the single or combination treatment of hepatitis, sepsis, cancer, and immunodeficiency. Accurate purity assessment of thymalfasin material is essential for thymalfasin certified reference materials (CRMs) production and analytical method validation, in which comprehensive determination of thymalfasin-related impurities is required to avoid quantitative bias. In this study, liquid chromatography-high-resolution mass spectrometry (LC-hrMS) methods have been established to comprehensively characterize and quantify thymalfasin-related impurities using a thymalfasin China Pharmacopoeia (ChP) standard and then successfully applied to three commercial thymalfasin materials. A total of twenty-three thymalfasin-related impurities (> 0.1 mg/g) were separated, identified, and quantified in the ChP standard analyzed. The major impurities existing in thymalfasin ChP standard and commercial materials include deamination, amination, succinimide, amino acid insertion/deletion, dimers, and isomers at different mass fraction levels. In particular, over half of the thymalfasin-related impurities were found directly or indirectly arising from the labile C-terminal asparagine (Asn) residue. Given the 28th Asn residue at the C-terminus is not necessary for the biological activity of thymalfasin as reported previously, thus deletion, replacement, or modification of thymalfasin C-terminal Asn residue is proposed for new drug research and development. In summary, these results provide a further complement to the thymalfasin-related impurity profile and issue a warning for protection or processing of the thymalfasin C-terminal Asn residue.

Multiplex Chemical Labeling of Amino Acids for Protein Footprinting Structure Assessment

Protein footprinting with mass spectrometry is an established structural biology technique for mapping solvent accessibility and assessing molecular-level interactions of proteins. In hydroxyl radical protein footprinting (HRPF), hydroxyl (OH) radicals generated by water radiolysis or other methods covalently label protein side chains. Because of the wide dynamic range of OH reactivity, not all side chains are easily detected in a single experiment. Novel reagent development and the use of radical chain reactions for labeling, including trifluoromethyl radicals, is a potential approach to normalize the labeling across a diverse set of residues. HRPF in the presence of a trifluoromethylation reagent under the right conditions could provide a "one-pot" reaction for multiplex labeling of protein side chains. Toward this goal, we have systematically evaluated amino acid labeling with the recently investigated Langlois' reagent (LR) activated by X-ray-mediated water radiolysis, followed by three different mass spectrometry methods. We compared the reactivity of CF₃ and OH radical labeling for all 20 protein side chains in a competition-free environment. We found that all 20 amino acids exhibited CF₃ or OH labeling in LR. Our investigations provide the evidence and knowledge set to perfect hydroxyl radical-activated trifluoromethyl chemistry as "one-pot" reaction for multiplex labeling of protein side chains to achieve higher resolution in HRPF.

Development of an ion pairing reversed-phase liquid chromatography-mass spectrometry method for characterization of clustered regularly interspaced short palindromic repeats guide ribonucleic acid

Guide ribonucleic acid (gRNA) is a critical reagent in clustered regularly interspaced short palindromic repeats (CRISPR)/Cas9 genome editing. The single stranded guide RNA (sgRNA) is the most commonly used gRNA in application. Evaluation of the impurity profile of synthetic sgRNA is important for any CRISPR genome editing experiments. However, the large molecular size, complex impurity profile and unique secondary structure pose many challenges in the analysis of sgRNA by ion pairing reversed-phase liquid chromatography (IP-RPLC), the commonly used method. In this work, we developed a generic IP-RPLC method for guide RNA analysis. We found that large pore size of stationary phase was the most critical column parameter to achieve high resolution separation of sgRNA while particle structure, particle size and surface chemistry had less impact. Our results indicated that charge interaction was the most critical mechanism for retention and mass transfer had less impact on the performance of separation. An IP-RPLC/mass spectrometry (MS) method was also developed with a specific practice to reduce adducts and enable intact MS analysis of sgRNAs. The generic IP-RPLC method demonstrates its feasibility to serve as a release, stability, characterization and in-process control testing method for synthetic sgRNA products.

A Practical Guide to Small Protein Discovery and Characterization Using Mass Spectrometry

Small proteins of up to ∼50 amino acids are an abundant class of biomolecules across all domains of life. Yet due to the challenges inherent in their size, they are often missed in genome annotations, and are difficult to identify and characterize using standard experimental approaches. Consequently, we still know few small proteins even in well-studied prokaryotic model organisms. Mass spectrometry (MS) has great potential for the discovery, validation, and functional characterization of small proteins. However, standard MS approaches are poorly suited to the identification of both known and novel small proteins due to limitations at each step of a typical proteomics workflow, i.e., sample preparation, protease digestion, liquid chromatography, MS data acquisition, and data analysis. Here, we outline the major MS-based workflows and bioinformatic pipelines used for small protein discovery and validation. Special emphasis is placed on highlighting the adjustments required to improve detection and data quality for small proteins. We discuss both the unbiased detection of small proteins and the targeted analysis of small proteins of interest. Finally, we provide guidelines to prioritize novel small proteins, and an outlook on methods with particular potential to further improve comprehensive discovery and characterization of small proteins.

Multi-dimensional LC-MS: the next generation characterization of antibody-based therapeutics by unified online bottom-up, middle-up and intact approaches

This review presents an overview of current analytical trends in antibody characterization by multidimensional LC-MS approaches.