Rapid and accurate detection of cinnamon oil adulteration in perilla leaf oil using atmospheric solids analysis probe-mass spectrometry.

Perilla leaf oil (PLO) is a global premium vegetable oil with abundant nutrients and substantial economic value, rendering it susceptible to potential adulteration by unscrupulous entrepreneurs. The addition of cinnamon oil (CO) is one of the main adulteration avenues for illegal PLOs. In this study, new and real-time ambient mass spectrometric methods were developed to detect CO adulteration in PLO. First, atmospheric solids analysis probe tandem mass spectrometry combined with principal component analysis and principal component analysis-linear discriminant analysis was employed to differentiate between authentic and adulterated PLO. Then, a spectral library was established for the instantaneous matching of cinnamaldehyde in the samples. Finally, the results were verified using the SRM mode of ASAP-MS/MS. Within 3 min, the three methods successfully identified CO adulteration in PLO at concentrations as low as 5% v/v with 100% accuracy. The proposed strategy was successfully applied to the fraud detection of CO in PLO.

Computational Toxicology Methods in Chemical Library Design and High-Throughput Screening Hit Validation.

The discovery of molecular toxicity in a clinical drug candidate can have a significant impact on both the cost and timeline of the drug discovery process. Early identification of potentially toxic compounds during screening library preparation or, alternatively, during the hit validation process is critical to ensure that valuable time and resources are not spent pursuing compounds that may possess a high propensity for human toxicity. This report focuses on the application of computational molecular filters, applied either pre- or post-screening, to identify and remove known reactive and/or potentially toxic compounds from consideration in drug discovery campaigns.

Biofoundry-Assisted Golden Gate Cloning with AssemblyTron.

Golden Gate assembly is a requisite method in synthetic biology that facilitates critical conventions such as genetic part abstraction and rapid prototyping. However, compared to robotic implementation, manual Golden Gate implementation is cumbersome, error-prone, and inconsistent for complex assembly designs. AssemblyTron is an open-source python package that provides an affordable automation solution using open-source OpenTrons OT-2 lab robots. Automating Golden Gate assembly with AssemblyTron can reduce failure-rate, resource consumption, and training requirements for building complex DNA constructs, as well as indexed and combinatorial libraries. Here, we dissect a panel of upgrades to AssemblyTron's Golden Gate assembly capabilities, which include Golden Gate assembly into modular cloning part vectors, error-prone polymerase chain reaction (PCR) combinatorial mutant library assembly, and modular cloning indexed plasmid library assembly. These upgrades enable a broad pool of users with varying levels of experience to readily implement advanced Golden Gate applications using low-cost, open-source lab robotics.

Generating Site Saturation Mutagenesis Libraries and Transferring Them to Broad Host-Range Plasmids Using Golden Gate Cloning.

Protein engineering is an established method for tailoring enzymatic reactivity. A commonly used method is directed evolution, where the mutagenesis and natural selection process is mimicked and accelerated in the laboratory. Here, we describe a reliable method for generating saturation mutagenesis libraries by Golden Gate cloning in a broad host range plasmid containing the pBBR1 replicon. The applicability is demonstrated by generating a mutant library of the iron nitrogenase gene cluster (anfHDGK) of Rhodobacter capsulatus, which is subsequently screened for the improved formation of molecular hydrogen.

CRISPR-Mediated Library Screening of Gene-Knockout Cell Lines for Investigating Antiviral Innate Immunity.

The application of CRISPR-mediated library screening has fundamentally transformed functional genomics by revealing the complexity of virus-host interactions. This protocol describes the use of CRISPR-mediated library screening to identify key functional genes regulating the innate immune response to PEDV infection. We detail a step-by-step process, starting from the design and construction of a customized CRISPR knockout library targeting genes involved in innate immunity to the effective delivery of these constructs into cells using lentiviral vectors. Subsequently, we outline the process of identifying functional genes postviral attack, including the use of next-generation sequencing (NGS), to analyze and identify knockout cells that exhibit altered responses to infection. This integrated approach provides researchers in immunology and virology with a resource and a robust framework for uncovering the genetic basis of host-pathogen interactions and the arsenal of the innate immune system against viral invasions.

A water probe for direct pH measurement of individual particles via micro-Raman spectroscopy.

The acidity of atmospheric aerosols influences fundamental physicochemical processes that affect climate and human health. We recently developed a novel and facile water-probe-based method for directly measuring of the pH for micrometer-size droplets, providing a promising technique to better understand aerosol acidity in the atmosphere. The complex chemical composition of fine particles in the ambient air, however, poses certain challenges to using a water-probe for pH measurement, including interference from interactions between compositions and the influence of similar compositions on water structure. To explore the universality of our method, it was employed to measure the pH of ammonium, nitrate, carbonate, sulfate, and chloride particles. The pH of particles covering a broad range (0-14) were accurately determined, thereby demonstrating that our method can be generally applied, even to alkaline particles. Furthermore, a standard spectral library was developed by integrating the standard spectra of common hydrated ions extracted through the water-probe. The library can be employed to identify particle composition and overcome the spectral overlap problem resulting from similar effects. Using the spectral library, all ions were identified and their concentrations were determined, in turn allowing successful pH measurement of multicomponent (ammonium-sulfate-nitrate-chloride) particles. Insights into the synergistic effect of Cl-, NO3-, and NH4+ depletion obtained with our approach revealed the interplay between pH and volatile partitioning. Given the ubiquity of component partitioning and pH variation in particles, the water probe may provide a new perspective on the underlying mechanisms of aerosol aging and aerosol-cloud interaction.

Optimizing phage-based mutant recovery and minimizing heat effect in the construction of transposon libraries in Staphylococcus aureus.

Staphylococcus aureus (S. aureus), particularly Methicillin-resistant S. aureus (MRSA), poses a significant global public health threat, necessitating advanced methodologies to enhance our understanding of this organism at the omics levels. This study introduces a refined protocol for constructing and curing high-density transposon mutant (tn-mutant) libraries in S. aureus, addressing the challenges associated with low transductant yields, and the complex genetic manipulation mechanism in Gram-positive bacteria. Our methodology employs a Himar1 transposon based on a two-plasmid system, leveraging Himar1's high insertional efficiency in AT-rich organisms. Enhanced transduction efficiency was achieved through chloramphenicol pre-treatment and the use of modified enriched media. Complementing this, an optimized plasmid curing procedure ensured a representative and stable tn-mutant library. The protocol was successfully applied to multiple S. aureus strains, demonstrating an increase in mutant recovery and reduced post-curing impact. The method offers a robust approach for Transposon Insertion Sequencing (TIS) applications in S. aureus, enabling deeper insights into survival, resistance, and pathogenicity mechanisms. This protocol holds a significant potential for accelerating the construction of tn-mutant libraries in various S. aureus strains.

Selenium(II)-Nitrogen Exchange (SeNEx) Chemistry: A Good Chemistry Suitable for Nanomole-Scale Parallel Synthesis, DNA-encoded Library Synthesis, and Bioconjugation.

The continuous development of click reactions with new connecting linkage is crucial for advancing the frontiers of click chemistry. Selenium-nitrogen exchange (SeNEx) chemistry, a versatile chemistry in click chemistry, represents an all-encompassing term for nucleophilic substitution events that replace nitrogen at an electrophilic selenium(II) center, enabling the flexible and efficient assembly of linkages around a Se(II) core. Several SeNEx chemistries have been developed inspired by the biochemical reaction between Ebselen and cysteine residue, and demonstrated significant potential in on-plate nanomole-scale parallel synthesis, selenium-containing DNA-encoded library (SeDEL) synthesis, as well as peptide and protein bioconjugation. This concept aims to present the origins, advancements, and applications of selenium(II)-nitrogen exchange (SeNEx) chemistry while also outlining the potential directions for future research in this field.

Strategies for Improving Aptamer Screening Efficiency: Library Design, Awareness Innovation, and Instrument Assistance.

Aptamers, as short single-stranded nucleic acids, can bind to targets in a similar way to antibodies. Relying on the advantages of low cost, high stability, and flexibility, they are widely applied in biosensors, disease therapy, and synthetic biology. As an aptamer screening method, the Systematic Evolution of Ligands by Exponential Enrichment (SELEX) offers almost unlimited possibilities for functional aptamer generation. However, at present, the SELEX procedure has not reached a satisfactory level, and it still faces some challenges in practical application, such as the relatively blind initial library, laborious and time-consuming selection process, typically requires 9-20 rounds for screening, and the entire process generally extends over 2-3 months, and sub-optimal performance of aptamers obtained. In the past few years, researchers have made great efforts to address these obstacles. Hence, in this review, we first summarize the aptamer screening mechanism and the existing limitations of SELEX. Then analyze the principle and technical key points of the SELEX optimization screening strategy. By incorporating rational library design, novel screening awareness, and advanced screening equipment, the number of aptamer screening cycles is significantly reduced to <8 rounds, with some methods achieving single-round screenings. This has led to a considerable decrease in the overall screening time to <3 weeks, while simultaneously enhancing the performance of the aptamers. Finally, critically discuss the present challenges and future directions of aptamer screening. This review aims to provide a practical reference for designing suitable aptamer screening methods.

Development and Implementation of a Pediatric Clinical Teaching Case Library Based on Massive Real-Time Data.

Background: With the development of information technology, establishing a clinical teaching case library based on vast real-time data resources has become a new educational approach. Nevertheless, a robust theoretical underpinning for harnessing real-time data to enhance clinical education remains elusive. The current body of research frequently falls short of a coherent theoretical structure, and has yet to delve deeply into the intrinsic worth and obstacles that real-time data presents in the educational sphere. Objective: To construct a real-time data resource set for pediatric clinical cases. Methods: This study was conducted within the framework of a university-level medical data center where advanced data de-identification protocols and encryption technologies were employed. The inclusion criteria for cases were determined based on their distinctive clinical characteristics and educational relevance aligning with established curriculum standards. These cases were then incorporated into the case library. To ensure ongoing enrichment and relevance of the pediatric clinical teaching case library, a two-phase evaluation system focused on aspects of storage-use and quality-availability was implemented. Results: This study successfully established a pediatric clinical teaching case library, supported by substantial real-time data. This database has been seamlessly incorporated into various facets of pediatric education, including classroom instruction in Pediatrics, serving as a resource for educational material and facilitating in practical teaching scenarios. Conclusion: This case library provides an authentic and dynamic data foundation for clinical teaching by leveraging a vast repository of real-time clinical data. It not only facilitates access to high-quality educational resources but also promotes the exploration and adoption of interdisciplinary teaching methodologies. Future research should clarify the theoretical foundation for the application of real-time data, fill existing theoretical gaps, and explore its applicability in various educational environments.

Development of novel aza-stilbenes as a new class of selective MAO-B inhibitors for the treatment of Parkinson's disease.

Parkinson's disease (PD) is a neurodegenerative disorder characterized by a progressive loss of nigrostriatal dopaminergic neurons. Inhibitors of monoamine oxidase B (MAO-B) have shown promise in alleviating motor symptoms and reducing oxidative stress associated with PD. In this study, we report the novel use of an azastilbene-based compound library for screening human (h)MAO-B, followed by optimization of initial hits to obtain compounds with low nanomolar inhibitory potencies (compound 9, IC50 = 42 nM) against hMAO-B. To ensure specificity and minimize false positives due to non-specific hydrophobic interactions, we performed comprehensive selectivity profiling against hMAO-A, butyrylcholinesterase (hBChE) and acetylcholinesterase (hAChE) - enzymes with hydrophobic active sites that are structurally distinct from hMAO-B. Docking analysis with Glide provided valuable insights into the binding interactions between the inhibitors and hMAO-B and also explained the selectivity against hMAO-A. In the cell-based model of Parkinson's disease, one of the compounds significantly reduced rotenone-induced accumulation of reactive oxygen species. In addition, these compounds showed a protective effect against acute 1-methyl-4-phenyl-1,2,3,6-tetrahydropyridine (MPTP)-induced motor dysfunction in PD model mice and reduced MPTP-induced loss of striatal tyrosine hydroxylase-positive neurons in the substantia nigra. These results make azastilbene-based compounds a promising new class of hMAO-B inhibitors with potential therapeutic applications in Parkinson's disease and related neurodegenerative disorders.

EMBL-MCF 2.0: an LC-MS/MS method and corresponding library for high-confidence targeted and untargeted metabolomics using low-adsorption HILIC chromatography.

INTRODUCTION: Over the past two decades, liquid chromatography-mass spectrometry (LC-MS)-based metabolomics has experienced significant growth, playing a crucial role in various scientific disciplines. However, despite these advance-ments, metabolite identification (MetID) remains a significant challenge. To address this, stringent MetID requirements were established, emphasizing the necessity of aligning experimental data with authentic reference standards using multiple criteria. Establishing dependable methods and corresponding libraries is crucial for instilling confidence in MetID and driving further progress in metabolomics. OBJECTIVE: The EMBL-MCF 2.0 LC-MS/MS method and public library was designed to facilitate both targeted and untargeted metabolomics with exclusive focus on endogenous, polar metabolites, which are known to be challenging to analyze due to their hydrophilic nature. By accompanying spectral data with robust retention times obtained from authentic standards and low-adsorption chromatography, high confidence MetID is achieved and accessible to the metabolomics community. METHODS: The library is built on hydrophilic interaction liquid chromatography (HILIC) and state-of-the-art low adsorption LC hardware. Both high-resolution tandem mass spectra and manually optimized multiple reaction monitoring (MRM) transitions were acquired on an Orbitrap Exploris 240 and a QTRAP 6500+, respectively. RESULTS: Implementation of biocompatible HILIC has facilitated the separation of isomeric metabolites with significant enhancements in both selectivity and sensitivity. The resulting library comprises a diverse collection of more than 250 biologically relevant metabolites. The methodology was successfully applied to investigate a variety of biological matrices, with exemplary findings showcased using murine plasma samples. CONCLUSIONS: Our work has resulted in the development of the EMBL-MCF 2.0 library, a powerful resource for sensitive metabolomics analyses and high-confidence MetID. The library is freely accessible and available in the universal .msp file format under the CC-BY 4.0 license: mona.fiehnlab.ucdavis.edu https://mona.fiehnlab.ucdavis.edu/spectra/browse?query=exists(tags.text:%27EMBL-MCF_2.0_HRMS_Library%27) , EMBL-MCF 2.0 HRMS https://www.embl.org/groups/metabolomics/instrumentation-and-software/#MCF-library .

[Synthesis of Coumarin-oligonucleiotide Conjugates for Application in DNA-encoded Libraries].

Oligonucleotides, including DNA and RNA, can be functionalized by chemical modification based on synthetic organic chemistry. For example, ligand-oligonucleotide conjugates have a wide variety of applications. Conjugates of functional ligands and oligonucleotides have attracted attention in recent years as a drug delivery system (DDS) for improving the efficacy of oligonucleotide therapeutics. In addition, oligonucleotide conjugates with drug candidate compounds as ligands have been applied to drug screening using DNA-encoded libraries (DELs). Against this background, we have focused on the development of practical synthetic methods for ligand-oligonucleotide conjugates. Recently, we have developed a new synthetic method to construct oligonucleotides conjugated with coumarins and dipeptides, which are expected to have bioactivity, for application to DDS research of oligonucleotide therapeutics and drug discovery research using DEL. In this review, we will discuss the details, including how to construct a coumarin scaffold on oligonucleotides based on Knoevenagel condensation.

A tetravalent peptide efficiently inhibits the intestinal toxicity of heat-labile enterotoxin by targeting the receptor-binding region of the B-subunit pentamer.

Infection by enterotoxigenic Escherichia coli (ETEC) causes severe watery diarrhea and dehydration in humans. Heat-labile enterotoxin (LT) is a major virulence factor produced by ETEC. LT is one of AB5-type toxins, such as Shiga toxin (Stx) and cholera toxin (Ctx), and the B-subunit pentamer is responsible for high affinity binding to the LT-receptor, ganglioside GM1, through multivalent interaction. In this report, we found that Glu51 of the B-subunit plays an essential role in receptor binding compared with other amino acids, such as Glu11, Arg13, and Lys91, all of which were previously shown to be involved in the binding. By targeting Glu51, we identified four tetravalent peptides that specifically bind to the B-subunit pentamer with high affinity by screening tetravalent random-peptide libraries, which were tailored to bind to the B-subunit through multivalent interaction. One of these peptides, GGR-tet, efficiently inhibited the cell-elongation phenotype and the elevation of cellular cAMP levels, both induced by LT. Furthermore, GGR-tet markedly inhibited LT-induced fluid accumulation in the mouse ileum. Thus, GGR-tet represents a novel therapeutic agent against ETEC infection.

Kinase library screening identifies IGF-1R as an oncogenic vulnerability in intrahepatic cholangiocarcinoma stem-like cells.

BACKGROUND: Intrahepatic cholangiocarcinoma (iCCA) is a highly aggressive cancer of the peripheral bile ducts and is recognized by the abundance of cancer stem-like cells (CSCs) within the tumor mass. While CSC markers in iCCA are well-defined, the molecular vulnerabilities of this subpopulation remain elusive. METHODS: The 96-well, three dimensional (3D) tumorsphere culture was adapted from a well-established CSC model, validated for CSC markers through gene expression analysis. Kinase library screening was then conducted to reveal potential oncogenic vulnerable pathways. RNA interference was utilized to stably silence the candidate gene in three iCCA cell lines and its impact on iCCA cell proliferation and tumorsphere formation efficiency (TFE) was evaluated. RESULTS: Kinase inhibitor library screening identified the top 50 kinase inhibitors crucial for tumorsphere viability, with 11 inhibitors targeting the IGF-1R/PI3K/AKT axis. Further dose-dependent analysis of the top 'hit' inhibitors confirmed IGF-1R as the candidate molecule. Upon stably silencing of IGF-1R, all three iCCA cell lines exhibited decreased AKT activation, impeded proliferation and reduced TFE, indicating a decline in CSC subpopulations. CONCLUSIONS: IGF-1R plays a critical role in maintaining iCCA-stem like cell populations. GENERAL SIGNIFICANCE: Our data highlight the potential utility of IGF-1R as a prognostic marker of iCCA and a therapeutic target for eliminating its CSC subpopulation.

Pharmaceutical metabolite identification in lettuce (Lactuca sativa) and earthworms (Eisenia fetida) using liquid chromatography coupled to high-resolution mass spectrometry and in silico spectral library.

Pharmaceuticals released into the aquatic and soil environments can be absorbed by plants and soil organisms, potentially leading to the formation of unknown metabolites that may negatively affect these organisms or contaminate the food chain. The aim of this study was to identify pharmaceutical metabolites through a triplet approach for metabolite structure prediction (software-based predictions, literature review, and known common metabolic pathways), followed by generating in silico mass spectral libraries and applying various mass spectrometry modes for untargeted LC-qTOF analysis. Therefore, Eisenia fetida and Lactuca sativa were exposed to a pharmaceutical mixture (atenolol, enrofloxacin, erythromycin, ketoprofen, sulfametoxazole, tetracycline) under hydroponic and soil conditions at environmentally relevant concentrations. Samples collected at different time points were extracted using QuEChERS and analyzed with LC-qTOF in data-dependent (DDA) and data-independent (DIA) acquisition modes, applying both positive and negative electrospray ionization. The triplet approach for metabolite structure prediction yielded a total of 3762 pharmaceutical metabolites, and an in silico mass spectral library was created based on these predicted metabolites. This approach resulted in the identification of 26 statistically significant metabolites (p < 0.05), with DDA + and DDA - outperforming DIA modes by successfully detecting 56/67 sample type:metabolite combinations. Lettuce roots had the highest metabolite count (26), followed by leaves (6) and earthworms (2). Despite the lower metabolite count, earthworms showed the highest peak intensities, closely followed by roots, with leaves displaying the lowest intensities. Common metabolic reactions observed included hydroxylation, decarboxylation, acetylation, and glucosidation, with ketoprofen-related metabolites being the most prevalent, totaling 12 distinct metabolites. In conclusion, we developed a high-throughput workflow combining open-source software with LC-HRMS for identifying unknown metabolites across various sample types.

An Automated Electrochemical Flow Platform to Accelerate Library Synthesis and Reaction Optimization.

Automated batch and flow reactors are well-established for high throughput experimentation in both thermal chemistry and photochemistry. However, the development of automated electrochemical platforms is hindered by cell miniaturization challenges in batch and difficulties in designing effective single-pass flow systems. In order to address these issues, we have designed and implemented a new, slug-based automated electrochemical flow platform. This platform was successfully demonstrated for electrochemical C-N cross-couplings of E3 ligase binders with diverse amines (44 examples), which were subsequently transferred to a continuous-flow mode for confirmation and isolation, showing its applicability for medicinal chemistry purposes. To further validate the versatility of the platform, Design of Experiments (DoE) optimization was performed for an unsuccessful library target. This optimization process, fully automated by the platform, resulted in a remarkable 6-fold increase in reaction yield.

Comparative Analysis of Transposable Elements in the Genomes of Citrus and Citrus-Related Genera.

Transposable elements (TEs) significantly contribute to the evolution and diversity of plant genomes. In this study, we explored the roles of TEs in the genomes of Citrus and Citrus-related genera by constructing a pan-genome TE library from 20 published genomes of Citrus and Citrus-related accessions. Our results revealed an increase in TE content and the number of TE types compared to the original annotations, as well as a decrease in the content of unclassified TEs. The average length of TEs per assembly was approximately 194.23 Mb, representing 41.76% (Murraya paniculata) to 64.76% (Citrus gilletiana) of the genomes, with a mean value of 56.95%. A significant positive correlation was found between genome size and both the number of TE types and TE content. Consistent with the difference in mean whole-genome size (39.83 Mb) between Citrus and Citrus-related genera, Citrus genomes contained an average of 34.36 Mb more TE sequences than Citrus-related genomes. Analysis of the estimated insertion time and half-life of long terminal repeat retrotransposons (LTR-RTs) suggested that TE removal was not the primary factor contributing to the differences among genomes. These findings collectively indicate that TEs are the primary determinants of genome size and play a major role in shaping genome structures. Principal coordinate analysis (PCoA) of Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) identifiers revealed that the fragmented TEs were predominantly derived from ancestral genomes, while intact TEs were crucial in the recent evolutionary diversification of Citrus. Moreover, the presence or absence of intact TEs near the AdhE superfamily was closely associated with the bitterness trait in the Citrus species. Overall, this study enhances TE annotation in Citrus and Citrus-related genomes and provides valuable data for future genetic breeding and agronomic trait research in Citrus.

Twenty-five years of Medical Library Association competencies and communities.

Professional associations provide resources to support members' career development and facilitate ways for members to engage with and learn from one another. This article describes Medical Library Association (MLA) activities related to the revision of professional competencies and the restructuring of the organization's communities during the past twenty-five years. Grounded in MLA's Platform for Change, the MLA competency statement underwent two revisions with core themes remaining consistent. Major efforts went into rethinking the structure of MLA communities, and it became a strategic goal of the association. Numerous groups spent considerable time guiding the changes in MLA's community structure. Sections and special interest groups were transformed into caucuses. Domain hubs were established to facilitate project coordination across caucuses and create more leadership opportunities for MLA members, but their implementation did not meet expectations. Member engagement and leadership are ongoing challenges for MLA. The next twenty-five years will undoubtedly see additional revisions to the competencies and continued iterations of the community structure.

DNA-Encoded Noncanonical Substrate Library for Protease Profiling.

Profiling the substrate sequence preferences of proteases is important for understanding both biological functions as well as for designing protease inhibitors. Several methods are available for profiling the sequence specificity of proteases. However, there is currently no rapid and high-throughput method to profile specificity of proteases for noncanonical substrates. In this study, we described a strategy to use a DNA-encoded noncanonical substrate library to identify the protease substrates composed of both canonical and noncanonical amino acids. This approach uses a DNA-encoded peptide library and introduces a biotin molecule at the N-terminus to immobilize the library on a solid support. Upon protease hydrolysis, the released DNA tag of the substrate peptides can be sequenced to identify the substrate structures. Using this approach, we profiled trypsin and fibroblast activation protein α and discovered noncanonical substrates that were more efficiently cleaved than the commonly used substrates. The identified substrates of FAP were further used to design corresponding covalent inhibitors containing non-canonical sequences with high potency for the target protease. Overall, our approach can aid in the development of new protease substrates and inhibitors.