An efficient mRNA display protocol yields potent bicyclic peptide inhibitors for FGFR3c: outperforming linear and monocyclic formats in affinity and stability.

Macrocyclization has positioned itself as a powerful method for engineering potent peptide drug candidates. Introducing one or multiple cyclizations is a common strategy to improve properties such as affinity, bioavailability and proteolytic stability. Consequently, methodologies to create large libraries of polycyclic peptides by phage or mRNA display have emerged, allowing the rapid identification of binders to virtually any target. Yet, within those libraries, the performance of linear vs. mono- or bicyclic peptides has rarely been studied. Indeed, a key parameter to perform such a comparison is to use a display protocol and cyclization chemistry that enables the formation of all 3 formats in equal quality and diversity. Here, we developed a simple, efficient and fast mRNA display protocol which meets these criteria and can be used to generate highly diverse libraries of thioether cyclized polycyclic peptides. As a proof of concept, we selected peptides against fibroblast growth factor receptor 3c (FGFR3c) and compared the different formats regarding affinity, specificity, and human plasma stability. The peptides with the best KD's and stability were identified among bicyclic peptide hits, further strengthening the body of evidence pointing at the superiority of this class of molecules and providing functional and selective inhibitors of FGFR3c.

An integrated platform approach enables discovery of potent, selective and ligand-competitive cyclic peptides targeting the GIP receptor.

In any drug discovery effort, the identification of hits for further optimisation is of crucial importance. For peptide therapeutics, display technologies such as mRNA display have emerged as powerful methodologies to identify these desired de novo hit ligands against targets of interest. The diverse peptide libraries are genetically encoded in these technologies, allowing for next-generation sequencing to be used to efficiently identify the binding ligands. Despite the vast datasets that can be generated, current downstream methodologies, however, are limited by low throughput validation processes, including hit prioritisation, peptide synthesis, biochemical and biophysical assays. In this work we report a highly efficient strategy that combines bioinformatic analysis with state-of-the-art high throughput peptide synthesis to identify nanomolar cyclic peptide (CP) ligands of the human glucose-dependent insulinotropic peptide receptor (hGIP-R). Furthermore, our workflow is able to discriminate between functional and remote binding non-functional ligands. Efficient structure-activity relationship analysis (SAR) combined with advanced in silico structural studies allow deduction of a thorough and holistic binding model which informs further chemical optimisation, including efficient half-life extension. We report the identification and design of the first de novo, GIP-competitive, incretin receptor family-selective CPs, which exhibit an in vivo half-life up to 10.7 h in rats. The workflow should be generally applicable to any selection target, improving and accelerating hit identification, validation, characterisation, and prioritisation for therapeutic development.

ProAlanase is an Effective Alternative to Trypsin for Proteomics Applications and Disulfide Bond Mapping.

Trypsin is the protease of choice in bottom-up proteomics. However, its application can be limited by the amino acid composition of target proteins and the pH of the digestion solution. In this study we characterize ProAlanase, a protease from the fungus Aspergillus niger that cleaves primarily on the C-terminal side of proline and alanine residues. ProAlanase achieves high proteolytic activity and specificity when digestion is carried out at acidic pH (1.5) for relatively short (2 h) time periods. To elucidate the potential of ProAlanase in proteomics applications, we conducted a series of investigations comprising comparative multi-enzymatic profiling of a human cell line proteome, histone PTM analysis, ancient bone protein identification, phosphosite mapping and de novo sequencing of a proline-rich protein and disulfide bond mapping in mAb. The results demonstrate that ProAlanase is highly suitable for proteomics analysis of the arginine- and lysine-rich histones, enabling high sequence coverage of multiple histone family members. It also facilitates an efficient digestion of bone collagen thanks to the cleavage at the C terminus of hydroxyproline which is highly prevalent in collagen. This allows to identify complementary proteins in ProAlanase- and trypsin-digested ancient bone samples, as well as to increase sequence coverage of noncollagenous proteins. Moreover, digestion with ProAlanase improves protein sequence coverage and phosphosite localization for the proline-rich protein Notch3 intracellular domain (N3ICD). Furthermore, we achieve a nearly complete coverage of N3ICD protein by de novo sequencing using the combination of ProAlanase and tryptic peptides. Finally, we demonstrate that ProAlanase is efficient in disulfide bond mapping, showing high coverage of disulfide-containing regions in a nonreduced mAb.

Generic Workflow for Mapping of Complex Disulfide Bonds Using In-Source Reduction and Extracted Ion Chromatograms from Data-Dependent Mass Spectrometry.

Disulfide bond mapping is a critical task in protein characterization as protein stability, structure, and function is dependent on correct cysteine connectivities. Mass spectrometry (MS) is the method of choice for this, providing fast and accurate characterization of simple disulfide bonds. Disulfide mapping by liquid chromatography tandem mass spectrometry (LC-MS/MS) is performed by identifying disulfide-bonded partner peptides following proteolytic digestion. With the recently introduced ability to assign complex disulfide patterns by online postcolumn partial disulfide reduction by in-source reduction (ISR) in a LC-ISR-MS/MS methodology, the main challenge is data analysis to ensure detection of both expected and unexpected disulfide species. In this study, we introduced a workflow for confident and unbiased mapping of complex disulfide bonds using the powerful combination of extracted ion chromatograms (XICs) of LC-ISR-MS/MS data. With postcolumn partial reduction, identical LC retention times of intact disulfide-bonded species, their constituting free peptides, and partially reduced variants were observed. Subsequent selective MS/MS fragmentation of all reduction products allowed confident identification of free cysteine-containing peptides using a classical shotgun proteomics database search. Matching XICs of the identified cysteine-containing peptides allowed identification of both predicted and unpredicted disulfide species, including unforeseen proteolytic specificities, missed cleavage sites, scrambled disulfide variants, and the presence of disulfide-entangled complexes. Applying this workflow, we successfully mapped the complex disulfide bonds of tertiapin and the epidermal growth factor (EGF) family members transforming growth factor α (TGFα) and EGF. In addition, we were able to characterize the disulfide patterns of the special disulfide fold of the TGFß superfamily in an all-online methodology.

Exploring ECD on a Benchtop Q Exactive Orbitrap Mass Spectrometer.

As the application of mass spectrometry intensifies in scope and diversity, the need for advanced instrumentation addressing a wide variety of analytical needs also increases. To this end, many modern, top-end mass spectrometers are designed or modified to include a wider range of fragmentation technologies, for example, ECD, ETD, EThcD, and UVPD. Still, the majority of instrument platforms are limited to more conventional methods, such as CID and HCD. While these latter methods have performed well, the less conventional fragmentation methods have been shown to lead to increased information in many applications including middle-down proteomics, top-down proteomics, glycoproteomics, and disulfide bond mapping. We describe the modification of the popular Q Exactive Orbitrap mass spectrometer to extend its fragmentation capabilities to include ECD. We show that this modification allows ≥85% matched ion intensity to originate from ECD fragment ion types as well as provides high sequence coverage (≥60%) of intact proteins and high fragment identification rates with ∼70% of ion signals matched. Finally, the ECD implementation promotes selective disulfide bond dissociation, facilitating the identification of disulfide-linked peptide conjugates. Collectively, this modification extends the capabilities of the Q Exactive Orbitrap mass spectrometer to a range of new applications.

Complete Mapping of Complex Disulfide Patterns with Closely-Spaced Cysteines by In-Source Reduction and Data-Dependent Mass Spectrometry.

Mapping of disulfide bonds is an essential part of protein characterization to ensure correct cysteine pairings. For this, mass spectrometry (MS) is the most widely used technique due to fast and accurate characterization. However, MS-based disulfide mapping is challenged when multiple disulfide bonds are present in complicated patterns. This includes the presence of disulfide bonds in nested patterns and closely spaced cysteines. Unambiguous mapping of such disulfide bonds typically requires advanced MS approaches. In this study, we exploited in-source reduction (ISR) of disulfide bonds during the electrospray ionization process to facilitate disulfide bond assignments. We successfully developed a LC-ISR-MS/MS methodology to use as an online and fully automated partial reduction procedure. Postcolumn partial reduction by ISR provided fast and easy identification of peptides involved in disulfide bonding from nonreduced proteolytic digests, due to the concurrent detection of disulfide-containing peptide species and their composing free peptides. Most importantly, intermediate partially reduced species containing only a single disulfide bond were also generated, from which unambiguous assignment of individual disulfide bonds could be done in species containing closely spaced disulfide bonds. The strength of this methodology was demonstrated by complete mapping of all four disulfide bonds in lysozyme and all 17 disulfide bonds in human serum albumin, including nested disulfide bonds and motifs of adjacent cysteine residues.

Electron Transfer Dissociation of All Ions at All Times, MSETD, in a Quadrupole Time-of-Flight (Q-ToF) Mass Spectrometer.

Data-independent mass spectral acquisition is particularly powerful when combined with ultra-performance liquid chromatography (LC) that provides excellent separation of most components present in a given sample. Data-independent analysis (DIA) consists of alternating full MS scans and scans with fragmentation of all ions within a selected m/z range, providing precursor masses and structure information, respectively. Fragmentation spectra are acquired either by sequential isolation and fragmentation of sliding m/z ranges or fragmenting all ions entering the MS instrument with no ion isolation, termed broadband DIA. Previously, broadband DIA has only been possible using collision induced dissociation (CID). Here, we report the use of electron transfer dissociation (ETD) as the fragmentation technique in broadband DIA instead of traditional collision induced dissociation (CID) during MSE. In this approach, which we refer to as MSETD, we implement the inherent benefits provided by ETD, such as discrimination of leucine and isoleucine, in a DIA setup. The combination of DIA analysis and ETD fragmentation with supplemental CID energy provides a powerful platform to obtain information on all precursors and their sequence from a single experiment. Graphical Abstract ᅟ.

Disulfide Linkage Characterization of Disulfide Bond-Containing Proteins and Peptides by Reducing Electrochemistry and Mass Spectrometry.

Unravelling of disulfide linkage patterns is a crucial part of protein characterization, whether it is for a previously uncharacterized protein in basic research or a recombinant pharmaceutical protein. In the biopharmaceutical industry, elucidation of the cysteine connectivities is a necessity to avoid disulfide scrambled and incorrectly folded forms in the final product. Mass spectrometry (MS) is a highly utilized analytical tool for this due to fast and accurate characterization. However, disulfide bonds being an additional covalent bond in the protein structure represent a challenge in protein sequencing by tandem MS (MS/MS). Electrochemical (EC) reduction of disulfide bonds has recently been demonstrated to provide efficient reduction efficiencies, significantly enhancing sequence coverages in online coupling with MS characterization. In this study, the potential use of EC disulfide reduction in combination with MS characterization for disulfide mapping was assessed. We employed two approaches based on (1) the high flexibility and instant information about the degree of reduction in infusion EC-MS to generate partially reduced species on the intact protein level and (2) the preserved link between parent disulfide-linked fragments and free reduced peptides in an LC-EC-MS platform of nonreduced proteolytic protein digestions. Here we report the successful use of EC as a partial reduction approach in mapping of disulfide bonds of intact human insulin (HI) and lysozyme. In addition, we established a LC-EC-MS platform advantageous in disulfide characterization of complex and highly disulfide-bonded proteins such as human serum albumin (HSA) by online EC reduction of nonreduced proteolytic digestions.