Protein Profiling Techniques Research Articles

Investigating pH Effects on Enzymes Catalyzing Polysorbate Degradation by Activity-Based Protein Profiling

Host cell proteins (HCPs) are process-related impurities that can negatively impact the quality of biotherapeutics. Some HCPs possess enzymatic activity and can affect the active pharmaceutical ingredient (API) or excipients such as polysorbates (PS). PSs are a class of non-ionic surfactants commonly used as excipients in biotherapeutics to enhance the stability of APIs. The enzyme activity of certain HCPs can result in the degradation of PSs, leading to particle formation and decreased shelf life of biotherapeutics. Identifying and characterizing these HCPs is therefore crucial. This study employed the Activity-Based Protein Profiling (ABPP) technique to investigate the effect of pH on the activity of HCPs that have the potential to degrade polysorbates. Two probes were utilized: the commercially available fluorophosphonate (FP)-Desthiobiotin probe and a probe based on the antiobesity drug, Orlistat. Over 50 HCPs were identified, showing a strong dependence on pH-milieu regarding their enzyme activity. These findings underscore the importance of accounting for pH variations in the ABPP method and other investigations of HCP activity. Notably, the Orlistat-based probe (OBP) enabled us to investigate the enzymatic activity of a wider range of HCPs, emphasizing the advantage of using more than one probe for ABPP. Finally, this study led to the discovery of previously unreported active enzymes, including three HCPs from the carboxylesterase enzyme family.

The S2 Subunit of Infectious Bronchitis Virus Affects Abl2-Mediated Syncytium Formation.

The S2 subunit serves a crucial role in infectious bronchitis virus (IBV) infection, particularly in facilitating membrane fusion. Using reverse genetic techniques, mutant strains of the S2 locus exhibited substantially different syncytium-forming abilities in chick embryonic kidney cells. To determine the precise formation mechanism of syncytium, we demonstrated the co-ordinated role of Abl2 and its mediated cytoskeletal regulatory pathway within the S2 subunit. Using a combination of fluorescence quantification, RNA silencing, and protein profiling techniques, the functional role of S2 subunits in IBV-infected cells was exhaustively determined. Our findings imply that Abl2 is not the primary cytoskeletal regulator, the viral S2 component is involved in indirect regulation, and the three different viral strains activate various cytoskeletal regulatory pathways through Abl2. CRK, CRKL, ABI1, NCKAP1, and ENAH also play a role in cytoskeleton regulation. Our research provides a point of reference for the development of an intracellular regulatory network for the S2 subunit and a foundation for the rational design of antiviral drug targets against Abl2.

Research Advances Through Activity‐Based Lipid Hydrolase Profiling

AbstractActivity‐based proteomic profiling (ABPP) enables the functional study of enzymes by employing small molecule probes that bind covalently to the active site of an enzyme. Activity‐based probes can penetrate cells and tissues and thereby allow enzymes to be targeted/labelled in their native state. Probes can be designed to target individual enzymes or whole enzyme groups, which makes ABPP a versatile protein profiling technique. In this review, we give an overview of research advances through ABPP in the context of lipid hydrolase research. We report of lipid hydrolases that were discovered and characterized through ABPP, and aim to give an overview of commonly used probes as well as inhibitors that were discovered and characterized by competitive ABPP. Lastly, this review aims to raise caveats and current limitations of this protein profiling technique.

Protocols for the Isolation of Platelets for Research and Contrast to Production of Platelet Concentrates for Transfusion.

Platelets are specialized cellular elements of blood and play a central role in maintaining normal hemostasis, wound healing, and host defense but also are implicated in pathologic processes of thrombosis, inflammation, and tumor progression and dissemination. Transfusion of platelet concentrates is an important treatment for thrombocytopenia (low platelet count) due to disease or significant blood loss, with the goal being to prevent bleeding or to arrest active bleeding. In blood circulation, platelets are in a resting state; however, when triggered by a stimulus, such as blood vessel injury, become activated (also termed procoagulant). Platelet activation is the basis of their biological function to arrest active bleeding, comprising a complex interplay of morphological phenotype/shape change, adhesion, expression of signaling molecules, and release of bioactive factors, including extracellular vesicles/microparticles. Advances in high-throughput mRNA and protein profiling techniques have brought new understanding of platelet biological functions, including identification of novel platelet proteins and secreted molecules, analysis of functional changes between normal and pathologic states, and determining the effects of processing and storage on platelet concentrates for transfusion. However, because platelets are very easily activated, it is important to understand the different in vitro methods for platelet isolation commonly used and how they differ from the perspective for use as research samples in clinical chemistry. Two simple methods are described here for the preparation of research-scale platelet samples from human whole blood, and detailed notes are provided about the methods used for the preparation of platelet concentrates for transfusion.

Size-exclusion chromatography-based extracellular vesicle size subtyping and multiplex membrane protein profiling for differentiating gastrointestinal cancer prognosis.

Extracellular vesicles (EVs), as a type of subcellular structure, have been extensively researched for their potential for developing advanced diagnostic technologies for various diseases. However, the biomolecular and biophysical heterogeneity of EVs has restricted their application in clinical settings. In this article, we developed a size-exclusion chromatography-based technique for simultaneous EV size subtyping and protein profiling. By eluting fluorescent aptamer-treated patient plasma through a size-exclusion column, the mixture can be classified into 50 nm aptamer-bound EVs, 100 nm aptamer-bound EVs and free-floating aptamers, which could further enable multiplex EV membrane protein profiling by analyzing the fluorescence intensities of EV-bound aptamers. Using this technique, we successfully identified EV size subtypes for differentiating gastrointestinal cancer prognosis states. Overall, we developed a rapid, user-friendly and low-cost EV size subtyping and protein profiling technique, which holds great potential for identifying crucial EV size subtypes for disease diagnosis in the clinic.

Chemoproteomics identifies Ykt6 as the direct target of schisandrin A for neuroprotection

Schisandrin A is a natural dibenzocyclooctene lignan with potent neuroprotective activity. However, the specific mechanisms or direct target proteins have not been clarified up to now. In this study, we designed and synthesized the probes of schisandrin A with photoreactive diazirine and clickable alkyne to identify its direct target in SH-SY5Y cells by employing activity-based protein profiling (ABPP) technique. Ykt6 was prominent among the 13 proteins obtained with high confidence and we confirmed Ykt6 as the direct target of schisandrin A by CETSA, IF, SPR and knockdown assay. Functionally, schisandrin A protected the cells against the injury induced by glutamate by regulating autophagy via Ykt6. This discovery may provide a novel therapeutic option for various neuronal cell damage-mediated diseases.

Detecting and identifying glycoside hydrolases using cyclophellitol-derived activity-based probes.

The ability to detect active enzymes in a complex mixture of folded proteins (e.g., secretome, cell lysate) generally relies on observations of catalytic ability, necessitating the development of an activity assay that is compatible with the sample and selective for the enzyme(s) of interest. Deconvolution of the contributions of different enzymes to an observed catalytic ability further necessitates an often-challenging protein separation. The advent of broadly reactive activity-based probes (ABPs) for retaining glycoside hydrolases (GHs) has enabled an alternative, often complementary, assay for active GHs. Using activity-based protein profiling (ABPP) techniques, many retaining glycoside hydrolases can be separated, detected, and identified with high sensitivity and selectivity. This chapter outlines ABPP methods for the detection and identification of retaining glycoside hydrolases from microbial sources, including protein sample preparation from bacterial lysates and fungal secretomes, enzyme labeling and detection via fluorescence, and enzyme identification using affinity-based enrichment coupled to peptide sequencing following isobaric labeling.

Future Perspectives of Newborn Screening for Inborn Errors of Immunity.

Newborn screening (NBS) programs continue to expand due to innovations in both test methods and treatment options. Since the introduction of the T-cell receptor excision circle (TREC) assay 15 years ago, many countries have adopted screening for severe combined immunodeficiency (SCID) in their NBS program. SCID became the first inborn error of immunity (IEI) in population-based screening and at the same time the TREC assay became the first high-throughput DNA-based test in NBS laboratories. In addition to SCID, there are many other IEI that could benefit from early diagnosis and intervention by preventing severe infections, immune dysregulation, and autoimmunity, if a suitable NBS test was available. Advances in technologies such as KREC analysis, epigenetic immune cell counting, protein profiling, and genomic techniques such as next-generation sequencing (NGS) and whole-genome sequencing (WGS) could allow early detection of various IEI shortly after birth. In the next years, the role of these technical advances as well as ethical, social, and legal implications, logistics and cost will have to be carefully examined before different IEI can be considered as suitable candidates for inclusion in NBS programs.

Capture and Identification of Dual Specificity Mitogen-Activated Protein Kinase Kinase 7 as a Direct Proteomic Target of Berberine to Affect the c-JunN-Terminal Kinase Pathway

Capture and Identification of Dual Specificity Mitogen-Activated Protein Kinase Kinase 7 as a Direct Proteomic Target of Berberine to Affect the c-JunN-Terminal Kinase Pathway

Artificial Intelligence-Based Prediction of Covid-19 Severity on the Results of Protein Profiling

BackgroundCOVID-19 progresses slowly and negatively affects many people. However, mild to moderate symptoms develop in most infected people, who recover without hospitalization. Therefore, the development of early diagnosis and treatment strategies is essential. One of these methods is proteomic technology based on the blood protein profiling technique. This study aims to classify three COVID-19 positive patient groups (mild, severe, and critical) and a control group based on the blood protein profiling using deep learning (DL), random forest (RF), and gradient boosted trees (GBTs). MethodsThe dataset consists of 93 samples (60 COVID-19 patients, 33 control), and 370 variables obtained from an open-source website. The current dataset contains age, gender, and 368 protein, used to predict the relationship between disease severity and proteins using DL and machine learning approaches (RF, GBTs). An evolutionary algorithm tunes hyperparameters of the models and the predictions are assessed through accuracy, sensitivity, specificity, precision, F1 score, classification error, and kappa performance metrics. ResultsThe accuracy of RF (96.21%) was higher as compared to DL (94.73%). However, the ensemble classifier GBTs produced the highest accuracy (96.98%). TGB1BP2 in the cardiovascular II panel and MILR1 in the inflammation panel were the two most important proteins associated with disease severity. ConclusionsThe proposed model (GBTs) achieved the best prediction of disease severity based on the proteins compared to the other algorithms. The results point out that changes in blood proteins associated with the severity of COVID-19 may be used in monitoring and early diagnosis/treatment of the disease.

Harnessing affinity-based protein profiling to reveal a novel target of nintedanib.

Nintedanib (BIBF1120), a triple angiokinase inhibitor, was first approved for idiopathic pulmonary fibrosis (IPF) therapy and is also efficacious for lung carcinoma, and interstitial lung diseases, far beyond its inhibition of VEGFR/PDGFR/FGFR. We identified tripeptidyl-peptidase 1 (TPP1) as one of the direct targets of nintedanib employing the affinity-based protein profiling (AfBPP) technique. This may be a new mechanism for nintedanib's role different from tyrosine kinase inhibition.

Iminostilbene, a novel small-molecule modulator of PKM2, suppresses macrophage inflammation in myocardial ischemia–reperfusion injury

IntroductionInflammation is a key factor in myocardial ischemia/reperfusion (MI/R) injury. Targeting leucocyte-mediated inflammation is an important strategy for MI/R therapy. Iminostilbene (ISB), a simple dibenzoazepine small molecule compound, has a strong anti-neurodegenerative effect. However, no study has shown the cardioprotective effect of ISB. ObjectivesThis study aimed to investigate the role of ISB against MI/R injury and identify its molecular target. MethodsTo verify the cardiac protection of ISB in vivo and in vitro, we performed rat MI/R surgery and subjected inflammatory modeling of macrophages. In terms of molecular mechanisms, we designed and synthesized a small molecular probe of ISB and employed it on the click chemistry-activity-based protein profiling technique to fish for ISB targets in macrophages. To identify the target, we applied the competitive inhibition assay, surface-plasmon resonance (SPR), cellular thermal shift assay (CETSA), and drug affinity responsive target stability (DARTS) assay. ResultsIn vivo, ISB showed robust anti-myocardial injury activity by improving cardiac function, reducing myocardial infarction, and inhibiting macrophage-mediated inflammation. In vitro, ISB strongly inhibited the transcription and the expression levels of inflammatory cytokines in macrophages. The pyruvate kinase isozyme type M2 (PKM2) was identified as the potential target of ISB through proteomic analysis and the competitive assay was performed for specific binding verification. Further thermodynamic and kinetic experiments showed that ISB was bound to PKM2 in a dose-dependent manner. Moreover, in terms of the biological function of ISB on PKM2, ISB reduced the expression of PKM2, thereby reducing the expression of HIF1α and the phosphorylation of STAT3. ConclusionThis study for the first time demonstrated that ISB targeted PKM2 to reduce macrophage inflammation thereby significantly alleviating MI/R injury.

A Bifunctional Nucleoside Probe for the Inhibition of the Human Immunodeficiency Virus-Type 1 Reverse Transcriptase.

Nucleoside analogs have proven effective for the inhibition of viral polymerases and are the foundation of many antiviral therapies. In this work, the antiretroviral potential of 6-azauracil analogs was assessed using activity-based protein profiling techniques and functional assays. Probes based on the 6-azauracil scaffold were examined and found to bind to HCV polymerase and HIV-1 reverse transcriptase through covalent modification of residues near the active site. The modified sites on the HIV-1 RT were examined using a mass spectrometry approach, and it was discovered that the azauracil moieties modified the enzyme in proximity to its active site. However, these scaffolds gave little or no inhibition of enzyme activity. Instead, a bifunctional inhibitor was prepared using click chemistry to link the 6-azauracil moiety to azidothymidine (AzT) and the corresponding triphosphate (AzTTP). These bifunctional inhibitors were found to have potent inhibitory function through a mode of action that includes both alkylation and chain termination. An in vitro assay demonstrated that the bifunctional inhibitor was 23-fold more effective in inhibiting HIV-1 RT activity than the parent AzTTP. The bifunctional inhibitor was also tested in HIV-1 permissive T cells where it decreased Gag expression similarly to the front-line drug Efavirenz with no evidence of cytotoxicity. This new bifunctional scaffold represents an interesting tool for inhibiting HIV-1 by covalently anchoring a chain-terminating nucleoside analog in the active site of the reverse transcriptase, preventing its removal and abolishing enzymatic activity, and represents a novel mode of action for inhibiting polymerases including reverse transcriptases.

Target Discovery in Ralstonia solanacearum through an Activity-Based Protein Profiling Technique Based on Bioactive Oxadiazole Sulfones.

Ralstonia solanacearum is an extremely destructive and rebellious phytopathogen that can cause bacterial wilt diseases in more than 200 plant species. To explore and discover the potential targets in R. solanacearum for the purpose of developing new agrochemicals targeting this infection, here, we exploited a typical activity-based protein profiling technique for target discovery in R. solanacearum based on an activity-based probe 1 derived from bioactive oxadiazole sulfones. A total of 65 specific targets were identified with high confidence through a quantitative chemical proteomic approach. Three representative proteins (glycine cleavage system H protein, thiol peroxidase, and dihydrolipoamide S-succinyltransferase) were validated as the targets by using the immunoblotting analysis with their respective antibodies. Additionally, the in vitro interaction between the recombinant thiol peroxidase and probe 1 further confirmed that this protein was a target of oxadiazole sulfones. We anticipated that these discovered protein targets in R. solanacearum can stimulate the discovery and development of novel agrochemicals targeting bacterial infections caused by R. solanacearum.

Discovery, Optimization, and Target Identification of Novel Potent Broad-Spectrum Antiviral Inhibitors.

Viral infections are increasing and probably long-lasting global risks. In this study, a chemical library was exploited by phenotypic screening to discover new antiviral inhibitors. After optimizations from hit to lead, a novel potent small molecule (RYL-634) was identified, showing excellent broad-spectrum inhibition activity against various pathogenic viruses, including hepatitis C virus, dengue virus, Zika virus, chikungunya virus, enterovirus 71, human immunodeficiency virus, respiratory syncytial virus, and others. The mechanism of action and potential targets of RYL-634 were further explored by the combination of activity-based protein profiling and other techniques. Finally, human dihydroorotate dehydrogenase was validated as the major target of RYL-634. We did not observe any mutant resistance under our pressure selections with RYL-634, and it had a strong synergistic effect with some Food and Drug Administration-approved drugs. Hence, there is great potential for developing new broad-spectrum antivirals based on RYL-634.

Tissue-Based Mapping of the Fathead Minnow (Pimephales promelas) Transcriptome and Proteome.

Omics approaches are broadly used to explore endocrine and toxicity-related pathways and functions. Nevertheless, there is still a significant gap in knowledge in terms of understanding the endocrine system and its numerous connections and intricate feedback loops, especially in non-model organisms. The fathead minnow (Pimephales promelas) is a widely used small fish model for aquatic toxicology and regulatory testing, particularly in North America. A draft genome has been published, but the amount of available genomic or transcriptomic information is still far behind that of other more broadly studied species, such as the zebrafish. Here, we used a proteogenomics approach to survey the tissue-specific proteome and transcriptome profiles in adult male fathead minnow. To do so, we generated a draft transcriptome using short and long sequencing reads from liver, testis, brain, heart, gill, head kidney, trunk kidney, and gastrointestinal tract. We identified 30,378 different putative transcripts overall, with the assembled contigs ranging in size from 264 to over 9,720 nts. Over 17,000 transcripts were >1,000 nts, suggesting a robust transcriptome that can be used to interpret RNA sequencing data in the future. We also performed RNA sequencing and proteomics analysis on four tissues, including the telencephalon, hypothalamus, liver, and gastrointestinal tract of male fish. Transcripts ranged from 0 to 600,000 copies per gene and a large portion were expressed in a tissue-specific manner. Specifically, the telencephalon and hypothalamus shared the most expressed genes, while the gastrointestinal tract and the liver were quite distinct. Using protein profiling techniques, we identified a total of 4,045 proteins in the four tissues investigated, and their tissue-specific expression pattern correlated with the transcripts at the pathway level. Similarly to the findings with the transcriptomic data, the hypothalamus and telencephalon had the highest degree of similarity in the proteins detected. The main purpose of this analysis was to generate tissue-specific omics data in order to support future aquatic ecotoxicogenomic and endocrine-related studies as well as to improve our understanding of the fathead minnow as an ecological model.

Transcriptomic Analysis of CD4+ T Cells Reveals Novel Immune Signatures of Latent Tuberculosis.

In the context of infectious diseases, cell population transcriptomics are useful to gain mechanistic insight into protective immune responses, which is not possible using traditional whole-blood approaches. In this study, we applied a cell population transcriptomics strategy to sorted memory CD4 T cells to define novel immune signatures of latent tuberculosis infection (LTBI) and gain insight into the phenotype of tuberculosis (TB)-specific CD4 T cells. We found a 74-gene signature that could discriminate between memory CD4 T cells from healthy latently Mycobacterium tuberculosis-infected subjects and noninfected controls. The gene signature presented a significant overlap with the gene signature of the Th1* (CCR6+CXCR3+CCR4-) subset of CD4 T cells, which contains the majority of TB-specific reactivity and is expanded in LTBI. In particular, three Th1* genes (ABCB1, c-KIT, and GPA33) were differentially expressed at the RNA and protein levels in memory CD4 T cells of LTBI subjects compared with controls. The 74-gene signature also highlighted novel phenotypic markers that further defined the CD4 T cell subset containing TB specificity. We found the majority of TB-specific epitope reactivity in the CD62L-GPA33- Th1* subset. Thus, by combining cell population transcriptomics and single-cell protein-profiling techniques, we identified a CD4 T cell immune signature of LTBI that provided novel insights into the phenotype of TB-specific CD4 T cells.

ABPP and Host-Virus Interactions.

Successful viral infection, as well as any resultant antiviral response, relies on numerous sequential interactions between host and viral factors. These interactions can take the form of affinity-based interactions between viral and host macromolecules or active, enzyme-based interactions, consisting both of direct enzyme activity performed by viral enzymes and indirect modulation of the activity of the host cell’s enzymes via viral interference. This activity has the potential to transform the local microenvironment to the benefit or detriment of both the virus and the host, favouring either the continuation of the viral life cycle or the host’s antiviral response. Comprehensive characterisation of enzymatic activity during viral infection is therefore necessary for the understanding of virally induced diseases. Activity-based protein profiling techniques have been established as effective and practicable tools with which to interrogate the regulation of enzymes’ catalytic activity and the roles played by these enzymes in various cell processes. This paper will review the contributions of these techniques in characterising the roles of both host and viral enzymes during viral infection in humans.

Rapid Seafood Species Identification Using Chip-Based Capillary Electrophoresis and Protein Pattern Matching.

Authenticity is crucial to the seafood industry, as substitution and mislabeling have important economic, environmental, and food safety consequences. To address this problem, protein profiling and software algorithm techniques were developed to classify fish muscle samples by species. The method uses water-based protein extraction, chip-based microfluidic electrophoresis (Agilent 2100 Bioanalyzer) for the analysis of high abundance fish muscle proteins, and a novel data analysis method for species-specific protein pattern recognition. The method's performance in distinguishing commercially important fish from commonly reported substitutions was evaluated using sensitivity, specificity, and accuracy determinations with all three performance measures at >98% for common substitutions. This study demonstrates that uncooked seafood products of commercially important species of catfish, snapper, and grouper can be rapidly distinguished from commonly substituted species with a high level of confidence. A tiered testing approach to seafood species verification by sequentially applying a rapid screening method and DNA testing is proposed to more effectively ensure accurate product labeling.

Preparation of Platelet Concentrates for Research and Transfusion Purposes.

Platelets are specialized cellular elements of the blood that play central roles in physiologic and pathologic processes of hemostasis, wound healing, host defense, thrombosis, inflammation, and tumor metastasis. Activation of platelets is crucial for platelet function that includes a complex interplay of adhesion, signaling molecules, and release of bioactive factors. Transfusion of platelet concentrates is an important treatment component for thrombocytopenia and bleeding. Recent progress in high-throughput mRNA and protein profiling techniques has advanced the understanding of platelet biological functions toward identifying novel platelet-expressed and secreted proteins, analyzing functional changes between normal and pathologic states, and determining the effects of processing and storage on platelet concentrates for transfusion. It is important to understand the different standard methods of platelet preparation and how they differ from the perspective for use as research samples in clinical chemistry. Two simple methods are described here for the preparation of research-scale platelet samples from whole blood, and detailed notes are provided about the methods used for the preparation of platelet concentrates for transfusion.