Identification of an ex vivo inhibitor of the schizophrenia biomarker Ndel1 by high throughput screening.

Ndel1 oligopeptidase activity shows promise as a potential biomarker for diagnosing schizophrenia (SCZ) and monitoring early-stage pharmacotherapy. Ndel1 plays a pivotal role in critical aspects of brain development, such as neurite outgrowth, neuronal migration, and embryonic brain formation, making it particularly relevant to neurodevelopmental disorders like SCZ. Currently, the most specific inhibitor for Ndel1 is the polyclonal anti-Ndel1 antibody (NOAb), known for its high specificity and efficient anti-catalytic activity. NOAb has been vital in measuring Ndel1 activity in humans and animal models, enabling the prediction of pharmacological responses to antipsychotics in studies with patients and animals. To advance our understanding of in vivo Ndel1 function and develop drugs for mental disorders, identifying small chemical compounds capable of specifically inhibiting Ndel1 oligopeptidase is crucial, including within living cells. Due to challenges in obtaining Ndel1's three-dimensional structure and its promiscuous substrate recognition, we conducted a high-throughput screening (HTS) of 2,400 small molecules. Nine compounds with IC50-values ranging from 7 to 56 µM were identified as potent Ndel1 inhibitors. Notably, one compound showed similar efficacy to NOAb and inhibited Ndel1 within living cells, although its in vivo use may pose toxicity concerns. Despite this, all identified compounds hold promise as candidates for further refinement through rational drug design, aiming to enhance their inhibitory efficacy, specificity, stability, and biodistribution. Our ultimate goal is to develop druggable Ndel1 inhibitors that can improve the treatment and support the diagnosis of psychiatric disorders like SCZ.

High-Throughput Screening to Examine the Dynamic of Stay-Green by an Imaging System.

The development of RGB (red, green, blue) sensors has opened the way for plant phenotyping. This is relevant because plant phenotyping allows us to visualize the product of the interaction between the plant ontogeny, anatomy, physiology, and biochemistry. Better yet, this can be achieved at any stage of plant development, i.e., from seedling to maturity. Here, we describe the use of phenotyping, based on the stay-green trait, of common bean (Phaseolus vulgaris L.) plant, as a model, stressed by water deficit, to elucidate the result of that interaction. Description is based on interpretation of RGB digital images acquired using a phenomic platform and a specific software. These images allow us to obtain a data group related to the color parameters that quantify the changes and alterations in each plant growth and development.

Machine Learning Study of the Magnetic Ordering in 2D Materials.

Magnetic materials have been applied in a large variety of technologies, from data storage to quantum devices. The development of two-dimensional (2D) materials has opened new arenas for magnetic compounds, even when classical theories discourage their examination. Here we propose a machine-learning-based strategy to predict and understand magnetic ordering in 2D materials. This strategy couples the prediction of the existence of magnetism in 2D materials using a random forest and the Shapley additive explanations method with material maps defined by atomic features predicting the magnetic ordering (ferromagnetic or antiferromagnetic). While the random forest model predicts magnetism with an accuracy of 86%, the material maps obtained by the sure independence screening and sparsifying method have an accuracy of ∼90% in predicting the magnetic ordering. Our model indicates that 3d transition metals, halides, and structural clusters with regular transition-metal sublattices have a positive contribution in the total weight deciding the existence of magnetism in 2D compounds. This behavior is associated with the competition between crystal field and exchange splitting. The machine learning model also indicates that the atomic spin orbit coupling (SOC) is a determinant feature for the identification of the patterns separating ferro- from antiferromagnetic order. The proposed strategy is used to identify novel 2D magnetic compounds that, together with the fundamental trends in the chemical and structural space, pave novel routes for experimental exploration.

Phenotypical screening on metastatic PRCC-TFE3 fusion translocation renal cell carcinoma organoids reveals potential therapeutic agents.

PURPOSE: Translocation renal cell carcinoma (tRCC) is a subtype that occurs predominantly in children and young individuals. Metastatic tRCC occurring in young patients is more aggressive than that occurring in older patients, and there are still no effective therapies. Organoids can mimic original tissues and be assessed by high-throughput screening (HTS). We aimed to utilize patient-derived organoids and HTS to screen drugs that can be repurposed for metastatic tRCC with PRCC-TFE3 fusion. METHODS: Tumor tissues were obtained from treatment-naïve metastatic tRCC patients who underwent surgery. Histopathology and fluorescence in situ hybridization (FISH) confirmed the tRCC. Organoids derived from the dissected tissues were cultured and verified by FISH and RNA-seq. HTS was performed to seek promising drugs, and potential mechanisms were explored by RNA-seq and cell-based studies. RESULTS: We successfully established a metastatic tRCC organoid with PRCC-TFE3 fusion, a common fusion subtype, and its characteristics were verified by histopathology, FISH, and RNA-seq. An HTS assay was developed, and the robustness was confirmed. A compound library of 1816 drugs was screened. Eventually, axitinib, crizotinib, and JQ-1 were selected for further validation and were found to induce cell cycle arrest and apoptosis. RNA-seq analyses of posttreatment organoids indicated that crizotinib induced significant changes in autophagy-related genes, consistent with the potential pathogenesis of tRCC. CONCLUSIONS: We established and validated organoids derived from tissues dissected from a patient with metastatic tRCC with PRCC-TFE3 fusion and achieved the HTS process for the first time. Crizotinib might be a targeted therapy worthy of exploration in the clinic for metastatic tRCC with PRCC-TFE3 fusion. Such organoid and HTS assays may represent a promising model system in translational research assisting in the development of clinical strategies.

Overcoming the Solubility Problem in E. coli: Available Approaches for Recombinant Protein Production.

Despite the importance of recombinant protein production in the academy and industrial fields, many issues concerning the expression of soluble and homogeneous products are still unsolved. Several strategies were developed to overcome these obstacles; however, at present, there is no magic bullet that can be applied for all cases. Indeed, several key expression parameters need to be evaluated for each protein. Among the different hosts for protein expression, Escherichia coli is by far the most widely used. In this chapter, we review many of the different tools employed to circumvent protein insolubility problems.

A simple, robust, and affordable bioluminescent assay for drug discovery against infective African trypanosomes.

African trypanosomiasis is a major problem for human and animal health in endemic countries, where it threatens millions of people and affects economic development. New drugs are needed to overcome the toxicity, administration, low efficacy, and resistance issues of the current chemotherapy. Robust, simple, and economical high-throughput, whole-cell-based assays are required to accelerate the identification of novel chemical entities. With this aim, we generated a bioluminescent cell line of the bloodstream stage of Trypanosoma brucei brucei and established a screening assay. Trypanosomes were stably transfected to constitutively express a thermostable red-shifted luciferase. The growth phenotype and drug sensitivity of the reporter cell line were essentially identical to that of the parental cell line. The endogenous luciferase activity, measured by a simple bioluminescence assay, proved to be proportional to parasite number and metabolic status. The assay, optimized to detect highly potent compounds in a 96-well-plate format, was validated by screening a small compound library (inter-assay values for Z' factor and coefficient variation were 0.77 and 5.8%, respectively). With a hit-confirmation ratio of ~97%, the assay was potent enough to identify several hits with EC50 ≤ 10 µM. Preliminary tests indicated that the assay can be scaled up to a 384-well-plate format without compromising its robustness. In summary, we have generated reporter trypanosomes and a simple, robust, and affordable bioluminescence screening assay with great potential to speed up the early-phase drug discovery against African trypanosomes.

Protocol for design, construction, and selection of genome phage (gPhage) display libraries.

This protocol describes the genomic phage (gPhage) display platform, a large-scale antigen and epitope mapping technique. We constructed a gPhage display peptide library of a eukaryotic organism, Trypanosoma cruzi (causative agent of Chagas disease), to map the antibody response landscape against the parasite. Here, we used an organism with a relatively large but intronless genome, although future applications could include other prevalent or (re)emerging infectious organisms carrying genomes with a limited number of introns. For complete details on the use and execution of this protocol, please refer to Teixeira et al. (2021).

Optimization and biological validation of an in vitro assay using the transfected Dm28c/pLacZ Trypanosoma cruzi strain.

There is an urgent need to develop safer and more effective drugs for Chagas disease, as the current treatment relies on benznidazole (BZ) and nifurtimox (NFX). Using the Trypanosoma cruzi Dm28c strain genetically engineered to express the Escherichia coli ß-galactosidase gene, lacZ, we have adapted and validated an easy, quick and reliable in vitro assay suitable for high-throughput screening for candidate compounds with anti-T. cruzi activity. In vitro studies were conducted to determine trypomastigotes sensitivity to BZ and NFX from Dm28c/pLacZ strain by comparing the conventional labour-intensive microscopy counting method with the colourimetric assay. Drug concentrations producing the lysis of 50% of trypomastigotes (lytic concentration 50%) were 41.36 and 17.99 µM for BZ and NFX, respectively, when measured by microscopy and 44.74 and 38.94 µM, for the colourimetric method, respectively. The optimal conditions for the amastigote development inhibitory assay were established considering the parasite-host relationship (i.e. multiplicity of infection) and interaction time, the time for colourimetric readout and the incubation time with the ß-galactosidase substrate. The drug concentrations resulting in 50% amastigote development inhibition obtained with the colourimetric assay were 2.31 µM for BZ and 0.97 µM for NFX, similar to the reported values for the Dm28c wild strain (2.80 and 1.5 µM, respectively). In summary, a colourimetric assay using the Dm28c/pLacZ strain of T. cruzi has been set up, obtaining biologically meaningful sensibility values with the reference compounds on both trypomastigotes and amastigotes forms. This development could be applied to high-throughput screening programmes aiming to identify compounds with anti-T. cruzi in vitro activity.

Recapitulating Tumorigenesis in vitro: Opportunities and Challenges of 3D Bioprinting.

Cancer is considered one of the most predominant diseases in the world and one of the principal causes of mortality per year. The cellular and molecular mechanisms involved in the development and establishment of solid tumors can be defined as tumorigenesis. Recent technological advances in the 3D cell culture field have enabled the recapitulation of tumorigenesis in vitro, including the complexity of stromal microenvironment. The establishment of these 3D solid tumor models has a crucial role in personalized medicine and drug discovery. Recently, spheroids and organoids are being largely explored as 3D solid tumor models for recreating tumorigenesis in vitro. In spheroids, the solid tumor can be recreated from cancer cells, cancer stem cells, stromal and immune cell lineages. Organoids must be derived from tumor biopsies, including cancer and cancer stem cells. Both models are considered as a suitable model for drug assessment and high-throughput screening. The main advantages of 3D bioprinting are its ability to engineer complex and controllable 3D tissue models in a higher resolution. Although 3D bioprinting represents a promising technology, main challenges need to be addressed to improve the results in cancer research. The aim of this review is to explore (1) the principal cell components and extracellular matrix composition of solid tumor microenvironment; (2) the recapitulation of tumorigenesis in vitro using spheroids and organoids as 3D culture models; and (3) the opportunities, challenges, and applications of 3D bioprinting in this area.

A Molecular Networking Strategy: High-Throughput Screening and Chemical Analysis of Brazilian Cerrado Plant Extracts against Cancer Cells.

Plants have historically been a rich source of successful anticancer drugs and chemotherapeutic agents, with research indicating that this trend will continue. In this contribution, we performed high-throughput cytotoxicity screening of 702 extracts from 95 plant species, representing 40 families of the Brazilian Cerrado biome. Activity was investigated against the following cancer cell lines: colon (Colo205 and Km12), renal (A498 and U031), liver (HEP3B and SKHEP), and osteosarcoma (MG63 and MG63.3). Dose-response tests were conducted with 44 of the most active extracts, with 22 demonstrating IC50 values ranging from <1.3 to 20 µg/mL. A molecular networking strategy was formulated using the Global Natural Product Social Molecular Networking (GNPS) platform to visualize, analyze, and annotate the compounds present in 17 extracts active against NCI-60 cell lines. Significant cytotoxic activity was found for Salacia crassifolia, Salacia elliptica, Simarouba versicolor, Diospyros hispida, Schinus terebinthifolia, Casearia sylvestris var. lingua, Magonia pubescens, and Rapanea guianensis. Molecular networking resulted in the annotation of 27 compounds. This strategy provided an initial overview of a complex and diverse natural product data set, yielded a large amount of chemical information, identified patterns and known compounds, and assisted in defining priorities for further studies.

Development of a cell-free protein synthesis protocol to rapidly screen L-asparaginase proteoforms by enzymatic activity

Abstract BACKGROUND Cell-free protein synthesis (CFPS) technology has emerged as a powerful tool for a variety of biotechnological applications, including the expression of different classes of biopharmaceutical products. L-Asparaginase (E.C. Number: 3.5.1.1, L-asparagine amidohydrolase) (L-ASNase) is an important biopharmaceutical used to treat leukemia, but expression of multiple proteoforms in CFPS systems and rapid characterization using standard colorimetric methods has not yet been fully exploited. Herein, recombinant expression and characterization of an L-ASNase from Erwinia chrysanthemi (Erwinase) using a new CFPS protocol is reported. RESULTS Expression and quantification of the enzymatic activity of a soluble his-tagged L-ASNase directly from a CFPS reaction was successfully achieved. Purification of the protein was not required in order to assess its biological activity. Activity of L-ASNase was significantly higher than the control reaction (7.07 ± 0.68 U mL–1 vs. 1.83 ± 0.14 U mL–1, respectively). Expression of a mutant Erwinase proteoform – V293M – was also achieved and it presented a similar enzymatic activity. No significant loss in L-ASNase enzymatic activity was noticed after removal of cyclic AMP, spermidine, transfer RNA, T7 RNA polymerase and, especially, ammonium acetate (a common interference in ASNase enzymatic assays) from the CFPS reaction. CONCLUSION The protocol developed in this work will facilitate the screening of novel clinically-relevant L-ASNase proteoforms. © 2021 Society of Chemical Industry (SCI).

An Optimized Competitive-Aging Method Reveals Gene-Drug Interactions Underlying the Chronological Lifespan of Saccharomyces cerevisiae.

The chronological lifespan of budding yeast is a model of aging and age-related diseases. This paradigm has recently allowed genome-wide screening of genetic factors underlying post-mitotic viability in a simple unicellular system, which underscores its potential to provide a comprehensive view of the aging process. However, results from different large-scale studies show little overlap and typically lack quantitative resolution to derive interactions among different aging factors. We previously introduced a sensitive, parallelizable approach to measure the chronological-lifespan effects of gene deletions based on the competitive aging of fluorescence-labeled strains. Here, we present a thorough description of the method, including an improved multiple-regression model to estimate the association between death rates and fluorescent signals, which accounts for possible differences in growth rate and experimental batch effects. We illustrate the experimental procedure-from data acquisition to calculation of relative survivorship-for ten deletion strains with known lifespan phenotypes, which is achieved with high technical replicability. We apply our method to screen for gene-drug interactions in an array of yeast deletion strains, which reveals a functional link between protein glycosylation and lifespan extension by metformin. Competitive-aging screening coupled to multiple-regression modeling provides a powerful, straight-forward way to identify aging factors in yeast and their interactions with pharmacological interventions.

Bioprospecting Microbial Diversity for Lignin Valorization: Dry and Wet Screening Methods.

Lignin is an abundant cell wall component, and it has been used mainly for generating steam and electricity. Nevertheless, lignin valorization, i.e. the conversion of lignin into high value-added fuels, chemicals, or materials, is crucial for the full implementation of cost-effective lignocellulosic biorefineries. From this perspective, rapid screening methods are crucial for time- and resource-efficient development of novel microbial strains and enzymes with applications in the lignin biorefinery. The present review gives an overview of recent developments and applications of a vast arsenal of activity and sequence-based methodologies for uncovering novel microbial strains with ligninolytic potential, novel enzymes for lignin depolymerization and for unraveling the main metabolic routes during growth on lignin. Finally, perspectives on the use of each of the presented methods and their respective advantages and disadvantages are discussed.

Development of a High-Throughput Screening Assay to Identify Inhibitors of the Major M17-Leucyl Aminopeptidase from Trypanosoma cruzi Using RapidFire Mass Spectrometry.

Leucyl aminopeptidases (LAPs) are involved in multiple cellular functions, which, in the case of infectious diseases, includes participation in the pathogen-host cell interface and pathogenesis. Thus, LAPs are considered good candidate drug targets, and the major M17-LAP from Trypanosoma cruzi (LAPTc) in particular is a promising target for Chagas disease. To exploit LAPTc as a potential target, it is essential to develop potent and selective inhibitors. To achieve this, we report a high-throughput screening method for LAPTc. Two methods were developed and optimized: a Leu-7-amido-4-methylcoumarin-based fluorogenic assay and a RapidFire mass spectrometry (RapidFire MS)-based assay using the LSTVIVR peptide as substrate. Compared with a fluorescence assay, the major advantages of the RapidFire MS assay are a greater signal-to-noise ratio as well as decreased consumption of enzyme. RapidFire MS was validated with the broad-spectrum LAP inhibitors bestatin (IC50 = 0.35 µM) and arphamenine A (IC50 = 15.75 µM). We suggest that RapidFire MS is highly suitable for screening for specific LAPTc inhibitors.

Unprecedented Potential for Neural Drug Discovery Based on Self-Organizing hiPSC Platforms.

Human induced pluripotent stem cells (hiPSCs) have transformed conventional drug discovery pathways in recent years. In particular, recent advances in hiPSC biology, including organoid technologies, have highlighted a new potential for neural drug discovery with clear advantages over the use of primary tissues. This is important considering the financial and social burden of neurological health care worldwide, directly impacting the life expectancy of many populations. Patient-derived iPSCs-neurons are invaluable tools for novel drug-screening and precision medicine approaches directly aimed at reducing the burden imposed by the increasing prevalence of neurological disorders in an aging population. 3-Dimensional self-assembled or so-called 'organoid' hiPSCs cultures offer key advantages over traditional 2D ones and may well be gamechangers in the drug-discovery quest for neurological disorders in the coming years.

Exploring Two-Dimensional Materials Thermodynamic Stability via Machine Learning.

The increasing interest and research on two-dimensional (2D) materials has not yet translated into a reality of diverse materials applications. To go beyond graphene and transition metal dichalcogenides for several applications, suitable candidates with desirable properties must be proposed. Here we use machine learning techniques to identify thermodynamically stable 2D materials, which is the first essential requirement for any application. According to the formation energy and energy above the convex hull, we classify materials as having low, medium, or high stability. The proposed approach enables the stability evaluation of novel 2D compounds for further detailed investigation of promising candidates, using only composition properties and structural symmetry, without the need for information about atomic positions. We demonstrate the usefulness of the model generating more than a thousand novel compounds, corroborating with DFT calculations the classification for five of these materials. To illustrate the applicability of the stable materials, we then perform a screening of electronic materials suitable for photoelectrocatalytic water splitting, identifying the potential candidate Sn2SeTe generated by our model, and also PbTe, both not yet reported for this application.

Droplet-Based Microfluidics Methods for Detecting Enzyme Inhibitors.

Sub-nanoliter droplets produced in microfluidic devices have gained an enormous importance for performing all kinds of biochemical assays. One of the main reasons is that the amounts of reagents employed can be reduced in approximately five orders of magnitude compared to conventional microplate assays. In this chapter, we describe how to carry out the design, fabrication, and operation of a microfluidic device that allows performing enzyme kinetics and enzyme inhibition assays in droplets. This procedure can be used effectively to screen a small size library of compounds. Then, we describe how to use this droplet microfluidic setup to screen for potential inhibitor compounds eluted from a coupled high-performance liquid chromatography (HPLC) system that separates crude natural extracts.

Ionizable lipid nanoparticles encapsulating barcoded mRNA for accelerated in vivo delivery screening.

Messenger RNA (mRNA) has recently emerged as a promising class of nucleic acid therapy, with the potential to induce protein production to treat and prevent a range of diseases. However, the widespread use of mRNA as a therapeutic requires safe and effective in vivo delivery technologies. Libraries of ionizable lipid nanoparticles (LNPs) have been designed to encapsulate mRNA, prevent its degradation, and mediate intracellular delivery. However, these LNPs are typically characterized and screened in an in vitro setting, which may not fully replicate the biological barriers that they encounter in vivo. Here, we designed and evaluated a library of engineered LNPs containing barcoded mRNA (b-mRNA) to accelerate the screening of mRNA delivery platforms in vivo. These b-mRNA are similar in structure and function to regular mRNA, and contain barcodes that enable their delivery to be quantified via deep sequencing. Using a mini-library of b-mRNA LNPs formulated via microfluidic mixing, we show that these different formulations can be pooled together, administered intravenously into mice as a single pool, and their delivery to multiple organs (liver, spleen, brain, lung, heart, kidney, pancreas, and muscle) can be quantified simultaneously using deep sequencing. In the context of liver and spleen delivery, LNPs that exhibited high b-mRNA delivery also yielded high luciferase expression, indicating that this platform can identify lead LNP candidates as well as optimal formulation parameters for in vivo mRNA delivery. Interestingly, LNPs with identical formulation parameters that encapsulated different types of nucleic acid barcodes (b-mRNA versus a DNA barcode) altered in vivo delivery, suggesting that the structure of the barcoded nucleic acid affects LNP in vivo delivery. This platform, which enables direct barcoding and subsequent quantification of a functional mRNA, can accelerate the in vivo screening and design of LNPs for mRNA therapeutic applications such as CRISPR-Cas9 gene editing, mRNA vaccination, and other mRNA-based regenerative medicine and protein replacement therapies.

A high-throughput screening for inhibitors of riboflavin synthase identifies novel antimicrobial compounds to treat brucellosis.

Brucella spp. are pathogenic intracellular Gram-negative bacteria adapted to life within cells of several mammals, including humans. These bacteria are the causative agent of brucellosis, one of the zoonotic infections with the highest incidence in the world and for which a human vaccine is still unavailable. Current therapeutic treatments against brucellosis are based on the combination of two or more antibiotics for prolonged periods, which may lead to antibiotic resistance in the population. Riboflavin (vitamin B2) is biosynthesized by microorganisms and plants but mammals, including humans, must obtain it from dietary sources. Owing to the absence of the riboflavin biosynthetic enzymes in animals, this pathway is nowadays regarded as a rich resource of targets for the development of new antimicrobial agents. In this work, we describe a high-throughput screening approach to identify inhibitors of the enzymatic activity of riboflavin synthase, the last enzyme in this pathway. We also provide evidence for their subsequent validation as potential drug candidates in an in vitro brucellosis infection model. From an initial set of 44 000 highly diverse low molecular weight compounds with drug-like properties, we were able to identify ten molecules with 50% inhibitory concentrations in the low micromolar range. Further Brucella culture and intramacrophagic replication experiments showed that the most effective bactericidal compounds share a 2-Phenylamidazo[2,1-b][1,3]benzothiazole chemical scaffold. Altogether, these findings set up the basis for the subsequent lead optimization process and represent a promising advancement in the pursuit of novel and effective antimicrobial compounds against brucellosis.