High-throughput viscoelastic characterization of cells in hyperbolic microchannels.

Extensive research has demonstrated the potential of cell viscoelastic properties as intrinsic indicators of cell state, functionality, and disease. For this, several microfluidic techniques have been developed to measure cell viscoelasticity with high-throughput. However, current microchannel designs introduce complex stress distributions on cells, leading to inaccuracies in determining the stress-strain relationship and, consequently, the viscoelastic properties. Here, we introduce a novel approach using hyperbolic microchannels that enable precise measurements under a constant extensional stress and offer a straightforward stress-strain relationship, while operating at a measurement rate of up to 100 cells per second. We quantified the stresses acting in the channels using mechanical calibration particles made from polyacrylamide (PAAm) and found that the measurement buffer, a solution of methyl cellulose and phosphate buffered saline, shows strain-thickening following a power law up to 200 s-1. By measuring oil droplets with varying viscosities, we successfully detected changes in the relaxation times of the droplets and our approach could be used to get the interfacial tension and viscosity of liquid-liquid droplet systems from the same measurement. We further applied this methodology to PAAm microgel beads, demonstrating the accurate recovery of Young's moduli and the near-ideal elastic behavior of the beads. To explore the influence of altered cell viscoelasticity, we treated HL60 human leukemia cells with latrunculin B and nocodazole, resulting in clear changes in cell stiffness while relaxation times were only minimally affected. In conclusion, our approach offers a streamlined and time-efficient solution for assessing the viscoelastic properties of large cell populations and other microscale soft particles.

Measuring stomatal and guard cell metrics for plant physiology and growth using StoManager1.

Automated guard cell detection and measurement are vital for understanding plant physiological performance and ecological functioning in global water and carbon cycles. Most current methods for measuring guard cells and stomata are laborious, time-consuming, prone to bias, and limited in scale. We developed StoManager1, a high-throughput tool utilizing geometrical, mathematical algorithms, and convolutional neural networks to automatically detect, count, and measure over 30 guard cell and stomatal metrics, including guard cell and stomatal area, length, width, stomatal aperture area/guard cell area, orientation, stomatal evenness, divergence, and aggregation index. Combined with leaf functional traits, some of these StoManager1-measured guard cell and stomatal metrics explained 90% and 82% of tree biomass and intrinsic water use efficiency (iWUE) variances in hardwoods, making them substantial factors in leaf physiology and tree growth. StoManager1 demonstrated exceptional precision and recall (mAP@0.5 over 0.96), effectively capturing diverse stomatal properties across over 100 species. StoManager1 facilitates the automation of measuring leaf stomatal and guard cells, enabling broader exploration of stomatal control in plant growth and adaptation to environmental stress and climate change. This has implications for global gross primary productivity (GPP) modeling and estimation, as integrating stomatal metrics can enhance predictions of plant growth and resource usage worldwide. Easily accessible open-source code and standalone Windows executable applications are available on a GitHub repository (https://github.com/JiaxinWang123/StoManager1) and Zenodo (https://doi.org/10.5281/zenodo.7686022).

A high-throughput sensory assay for parasitic and free-living nematodes.

Sensory pathways first elucidated in Caenorhabditis elegans are conserved across free-living and parasitic nematodes, even though each species responds to a diverse array of compounds. Most nematode sensory assays are performed by tallying observations of worm behavior on two-dimensional planes using agarose plates. These assays have been successful in the study of volatile sensation but are poorly suited for investigation of water-soluble gustation or parasitic nematodes without a free-living stage. In contrast, gustatory assays tend to be tedious, often limited to the manipulation of a single individual at a time. We have designed a nematode sensory assay using a microfluidics device that allows for the study of gustation in a 96-well, three-dimensional environment. This device is suited for free-living worms and parasitic worms that spend their lives in an aqueous environment, and we have used it to show that ivermectin inhibits the gustatory ability of vector-borne parasitic nematodes. Insight box Nematodes are powerful model organisms for understanding the sensory biology of multicellular eukaryotes, and many parasitic species cause disease in humans. Simple sensory assays performed on agarose plates have been the bedrock for establishing the neuronal, genetic, and developmental foundations for many sensory modalities in nematodes. However, these classical assays are poorly suited for translational movement of many parasitic nematodes and the sensation of water-soluble molecules (gustation). We have designed a device for high-throughput nematode sensory assays in a gel matrix. This 'gustatory microplate' is amenable to several species and reveals novel responses by free-living and parasitic nematodes to cues and drugs.

PicoShells: Hollow Hydrogel Microparticles for High-Throughput Screening of Clonal Libraries.

Microfluidics enables the creation of monodisperse, micron-scale aqueous droplets, or other compartments. These droplets serve as picolitre-volume reaction chambers which can be utilized for various chemical assays or reactions. Here we describe the use of a microfluidic droplet generator to encapsulate single cells within hollow hydrogel microparticles called PicoShells. The PicoShell fabrication utilizes a mild pH-based crosslinking modality of an aqueous two-phase prepolymer system, avoiding the cell death and unwanted genomic modifications that accompany more typical, ultraviolet light crosslinking techniques. The cells are grown inside of these PicoShells into monoclonal colonies in any number of environments, including scaled production environments using commercially relevant incubation methods. Colonies can be phenotypically analyzed and/or sorted using standard, high-throughput laboratory techniques, namely, fluorescence-activated cell sorting (FACS). Cell viability is maintained throughout particle fabrication and analysis, and cells exhibiting a desired phenotype can be selected and released for re-culturing and downstream analysis. Large-scale cytometry runs are of particular use when measuring the protein expression of heterogeneous cells in response to environmental stimuli, notably to identify targets early in the drug discovery process. The sorted cells can also be encapsulated multiple times to direct the evolution of a cell line to a desired phenotype.

A High-Throughput Workflow for FFPE Tissue Proteomics.

Laser capture microdissection (LCM) has become an indispensable tool for mass spectrometry-based proteomic analysis of specific regions obtained from formalin-fixed paraffin-embedded (FFPE) tissue samples in both clinical and research settings. Low protein yields from LCM samples along with laborious sample processing steps present challenges for proteomic analysis without sacrificing protein and peptide recovery. Automation of sample preparation workflows is still under development, especially for samples such as laser-capture microdissected tissues. Here, we present a simplified and rapid workflow using adaptive focused acoustics (AFA) technology for sample processing for high-throughput FFPE-based proteomics. We evaluated three different workflows: standard extraction method followed by overnight trypsin digestion, AFA-assisted extraction and overnight trypsin digestion, and AFA-assisted extraction simultaneously performed with trypsin digestion. The use of AFA-based ultrasonication enables automated sample processing for high-throughput proteomic analysis of LCM-FFPE tissues in 96-well and 384-well formats. Further, accelerated trypsin digestion combined with AFA dramatically reduced the overall processing times. LC-MS/MS analysis revealed a slightly higher number of protein and peptide identifications in AFA accelerated workflows compared to standard and AFA overnight workflows. Further, we did not observe any difference in the proportion of peptides identified with missed cleavages or deamidated peptides across the three different workflows. Overall, our results demonstrate that the workflow described in this study enables rapid and high-throughput sample processing with greatly reduced sample handling, which is amenable to automation.

High-throughput digital pathology via a handheld, multiplexed, and AI-powered ptychographic whole slide scanner.

The recent advent of whole slide imaging (WSI) systems has moved digital pathology closer to diagnostic applications and clinical practices. Integrating WSI with machine learning promises the growth of this field in upcoming years. Here we report the design and implementation of a handheld, colour-multiplexed, and AI-powered ptychographic whole slide scanner for digital pathology applications. This handheld scanner is built using low-cost and off-the-shelf components, including red, green, and blue laser diodes for sample illumination, a modified stage for programmable sample positioning, and a synchronized image sensor pair for data acquisition. We smear a monolayer of goat blood cells on the main sensor for high-resolution lensless coded ptychographic imaging. The synchronized secondary sensor acts as a non-contact encoder for precisely tracking the absolute object position for ptychographic reconstruction. For WSI, we introduce a new phase-contrast-based focus metric for post-acquisition autofocusing of both stained and unstained specimens. We show that the scanner can resolve the 388-nm linewidth on the resolution target and acquire gigapixel images with a 14 mm × 11 mm area in ∼70 seconds. The imaging performance is validated with regular stained pathology slides, unstained thyroid smears, and malaria-infected blood smears. The deep neural network developed in this study further enables high-throughput cytometric analysis using the recovered complex amplitude. The reported do-it-yourself scanner offers a portable solution to transform the high-end WSI system into one that can be made widely available at a low cost. The capability of high-throughput quantitative phase imaging may also find applications in rapid on-site evaluations.

Automatic system for high-throughput and high-sensitivity diagnosis of SARS-CoV-2.

The coronavirus disease 2019 (COVID-19) pandemic caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) has had severe consequences for health and the global economy. To control the transmission, there is an urgent demand for early diagnosis and treatment in the general population. In the present study, an automatic system for SARS-CoV-2 diagnosis is designed and built to deliver high specification, high sensitivity, and high throughput with minimal workforce involvement. The system, set up with cross-priming amplification (CPA) rather than conventional reverse transcription-polymerase chain reaction (RT-PCR), was evaluated using more than 1000 real-world samples for direct comparison. This fully automated robotic system performed SARS-CoV-2 nucleic acid-based diagnosis with 192 samples in under 180 min at 100 copies per reaction in a "specimen in data out" manner. This throughput translates to a daily screening capacity of 800-1000 in an assembly-line manner with limited workforce involvement. The sensitivity of this device could be further improved using a CRISPR (Clustered Regularly Interspaced Short Palindromic Repeats)-based assay, which opens the door to mixed samples, potentially include SARS-CoV-2 variants screening in extensively scaled testing for fighting COVID-19.

Systematic molecular evolution enables robust biomolecule discovery.

Evolution occurs when selective pressures from the environment shape inherited variation over time. Within the laboratory, evolution is commonly used to engineer proteins and RNA, but experimental constraints have limited the ability to reproducibly and reliably explore factors such as population diversity, the timing of environmental changes and chance on outcomes. We developed a robotic system termed phage- and robotics-assisted near-continuous evolution (PRANCE) to comprehensively explore biomolecular evolution by performing phage-assisted continuous evolution in high-throughput. PRANCE implements an automated feedback control system that adjusts the stringency of selection in response to real-time measurements of each molecular activity. In evolving three distinct types of biomolecule, we find that evolution is reproducibly altered by both random chance and the historical pattern of environmental changes. This work improves the reliability of protein engineering and enables the systematic analysis of the historical, environmental and random factors governing biomolecular evolution.

Planejamento, síntese e avaliação biológica de candidatos a fármacos: busca de inibidores epigenéticos da Sirtuína 2 Sir2 / Design, synthesis and biological evaluation of drug candidates: search for Sirtuin 2 (Sir 2) epigenetic inhibitors

As doenças negligenciadas são causadas por agentes infecciosos e parasitários, como vírus, bactérias, protozoários e helmintos. Essas doenças são prevalentes em populações de baixa renda que vivem em países em desenvolvimento e são responsáveis por incapacitar e levar milhares de pessoas à morte. Este nome se dá pois, apesar de sua grande relevância médica, recebem pouca atenção dos governos e indústrias farmacêuticas. Dentre essas doenças podemos destacar a Doença de Chagas, doença infecciosa causada pelo parasita hemoflagelado Trypanosoma cruzi. Endêmica em 21 países, com 6 a 7 milhões de pessoas infectadas resultando em 7500 mortes por ano. A quimioterapia disponível contra essa parasitose é baseada em apenas dois medicamentos, o benznidazol e o nifurtimox, ativos principalmente na fase aguda da doença e com efeitos adversos graves que comprometem a adesão ao tratamento e, além disso, apesar dos enormes esforços na pesquisa de novos agentes antichagásicos em nível nacional e internacional, na maioria realizada academicamente, ainda não foram encontradas alternativas terapêuticas para a doença, persistindo, assim, a necessidade de descoberta e desenvolvimento de novos fármacos. O início de um planejamento de um novo fármaco se dá pela definição de um alvo bioquímico a ser utilizado na busca de moléculas que possam exercer a função de inibidores ou moduladores, conforme a atividade biológica desejada. Neste sentido, as sirtuínas 2 (Sir2) são enzimas que se mostraram essenciais para o crescimento in vitro do T. cruzi em suas formas amastigota e epimastigota. No caso de tripanossomatídeos, em geral, a superexpressão de Sir2 está relacionada à sobrevivência de formas amastigotas. Assim, essas evidências indicam que a Sir2 de tripanosomatídeos tem grande potencial como alvo biológico na busca e desenvolvimento de novos fármacos antichagásicos. O objetivo principal deste projeto foi identificar moléculas que apresentaram atividade inibitória para a sirtuína 2 de T. cruzi por meio da utilização da estratégia de Planejamento de Fármacos Baseada no Ligante - Ligand Based Drug Design (LBDD) e o desenvolvimento de análogos dos inibidores da Sir2. A modificação molecular está entre algumas das técnicas tradicionais usadas no desenvolvimento racional de um fármaco, e é usada principalmente no desenvolvimento de análogos, e busca melhorar as propriedades farmacocinéticas e/ou farmacodinâmicas de um protótipo, obter propriedades de interação semelhantes ao alvo e, em alguns casos, revelar uma atividade biológica. Com este intuito, análogos do sirtinol e da salermida foram sintetizados e uma nova rota sintética utilizando o microrreator em fluxo contínuo foi desenvolvida e apresentou rendimento superior quando comparado à síntese em bancada. A partir desta metodologia foram obtidos 20 compostos. Os ensaios in vitro contra formas amastigotas do T. cruzi indicaram que 8 compostos inibiram a atividade parasitária em mais de 50%, na dose de 10 µM, sendo que alguns destes apresentaram maior inibição parasitária quando comparados ao benznidazol, o fármaco de referência e único disponível no Brasil. Com estes resultados preliminares, novos ensaios estão sendo realizados para identificar potência e mecanismo de ação destes candidatos a agentes tripanomicidas

Neglected diseases are caused by infectious and parasitic agents such as viruses, bacteria, protozoa and helminths. These diseases are prevalent in low-income populations living in developing countries and are responsible for disabling and killing thousands of people. They get this name because, despite their great medical relevance, they end up receiving little attention from governments and pharmaceutical industries. Among these diseases, we can highlight Chagas disease, an infectious endemic disease caused by the hemoflagellate parasite Trypanosoma cruzi. This disease is endemic in 21 countries, with 6 to 7 million people infected resulting in 7,500 deaths per year. Chemotherapy is based on just two drugs, benznidazole and nifurtimox, which are mainly active in the acute phase of the disease. These drugs have adverse effects that compromise adherence, even more, considering that they are not effective from the point of view of the chronic phase of the disease. Despite the enormous efforts in researching new anti-chagasic agents at the national and international level, and mostly carried out academically, therapeutic alternatives for the disease have not yet been found, thus, the need for the discovery and development of new drugs persists. Sirtuins 2 (Sir2) are enzymes that have been shown to be essential for the in vitro growth of T. cruzi in its amastigote and epimastigote forms. In the case of trypanosomatids in general, Sir2 overexpression is related to the survival of amastigote forms. Sir2 inhibitors, such as sirtinol, have shown efficacy in leishmanicides. Thus, these evidences indicate that Sir2 from trypanosomatids can be considered as a biological target in the search and development of new anti-chagasic drugs. The beginning of a new drug planning study is the definition of a biochemical target to be used in the search for molecules that can play the role of inhibitors or modulators, according to the desired biological activity. The main objective of this project was to identify molecules that presented inhibitory activity to sirtuin 2 of T. cruzi using the Ligand Based Drug Design (LBDD) strategy of planning and the development of analogues of Sir2 inhibitors. Molecular modification is a traditional technique used in the rational development of a drug, as well as the use of natural products, combinatorial chemistry, high-throughput screening (HTS), among others. Mainly used in the development of analogues, molecular modification is applied for different purposes, among them, it seeks to improve the pharmacokinetic and/or pharmacodynamic properties of a prototype, obtain target-like interaction properties and, in some cases, reveal an activity biological. For this purpose, analogues of sirtinol and salermide were synthesized and a new synthetic route using the microreactor in continuous flow was developed and presented superior yield when compared to benchtop synthesis. From this methodology, 20 compounds were obtained. in vitro assays against amastigote forms of T. cruzi indicated that 8 compounds inhibited parasitic activity by more than 50% at a dose of 10 µM, and some of these showed greater parasitic inhibition when compared to benznidazole, the reference drug, and only available in Brazil. With these preliminary results, new assays are being carried out to identify the potency and mechanism of action of these candidate trypanocidal agents

Label-free cell assays to determine compound uptake or drug action using MALDI-TOF mass spectrometry.

Cell-based assays for compound screening and profiling are fundamentally important in life sciences, chemical biology and pharmaceutical research. Most cell assays measure the amount of a single reporter molecule or cellular endpoint, and require the use of fluorescence or other labeled materials. Consequently, there is high demand for label-free technologies that enable multiple biomolecules or endpoints to be measured simultaneously. Here, we describe how to develop, optimize and validate MALDI-TOF mass spectrometry (MS) cell assays that can be used to measure cellular uptake of transporter substrates, to monitor cellular drug target engagement or to discover cellular drug-response markers. In uptake assays, intracellular accumulation of a transporter substrate and its inhibition by test compounds is measured. In drug response assays, changes to multiple cellular metabolites or to abundant posttranslational protein modifications are monitored as reporters of drug activity. We detail a ten-part optimization protocol with every part taking 1-2 d that leads to a final 2 d optimized procedure, which includes cell treatment, transfer, MALDI MS-specific sample preparation, quantification using stable-isotope-labeled standards, MALDI-TOF MS data acquisition, data processing and analysis. Key considerations for validation and automation of MALDI-TOF MS cell assays are outlined. Overall, label-free MS cell-based assays offer speed, sensitivity, accuracy and versatility in drug research.

A proof of concept study for the differentiation of SARS-CoV-2, hCoV-NL63, and IAV-H1N1 in vitro cultures using ion mobility spectrometry.

Rapid, high-throughput diagnostic tests are essential to decelerate the spread of the novel coronavirus disease 2019 (COVID-19) pandemic. While RT-PCR tests performed in centralized laboratories remain the gold standard, rapid point-of-care antigen tests might provide faster results. However, they are associated with markedly reduced sensitivity. Bedside breath gas analysis of volatile organic compounds detected by ion mobility spectrometry (IMS) may enable a quick and sensitive point-of-care testing alternative. In this proof-of-concept study, we investigated whether gas analysis by IMS can discriminate severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) from other respiratory viruses in an experimental set-up. Repeated gas analyses of air samples collected from the headspace of virus-infected in vitro cultures were performed for 5 days. A three-step decision tree using the intensities of four spectrometry peaks correlating to unidentified volatile organic compounds allowed the correct classification of SARS-CoV-2, human coronavirus-NL63, and influenza A virus H1N1 without misassignment when the calculation was performed with data 3 days post infection. The forward selection assignment model allowed the identification of SARS-CoV-2 with high sensitivity and specificity, with only one of 231 measurements (0.43%) being misclassified. Thus, volatile organic compound analysis by IMS allows highly accurate differentiation of SARS-CoV-2 from other respiratory viruses in an experimental set-up, supporting further research and evaluation in clinical studies.

Physiologic biomechanics enhance reproducible contractile development in a stem cell derived cardiac muscle platform.

Human pluripotent stem cell-derived cardiomyocytes (hPSC-CMs) allow investigations in a human cardiac model system, but disorganized mechanics and immaturity of hPSC-CMs on standard two-dimensional surfaces have been hurdles. Here, we developed a platform of micron-scale cardiac muscle bundles to control biomechanics in arrays of thousands of purified, independently contracting cardiac muscle strips on two-dimensional elastomer substrates with far greater throughput than single cell methods. By defining geometry and workload in this reductionist platform, we show that myofibrillar alignment and auxotonic contractions at physiologic workload drive maturation of contractile function, calcium handling, and electrophysiology. Using transcriptomics, reporter hPSC-CMs, and quantitative immunofluorescence, these cardiac muscle bundles can be used to parse orthogonal cues in early development, including contractile force, calcium load, and metabolic signals. Additionally, the resultant organized biomechanics facilitates automated extraction of contractile kinetics from brightfield microscopy imaging, increasing the accessibility, reproducibility, and throughput of pharmacologic testing and cardiomyopathy disease modeling.

MalariaCometChip for high-throughput quantification of DNA damage in Plasmodium falciparum.

Comet assay is a standard approach for studying DNA damage in malaria, but high-throughput options are not available. The CometChip was previously developed using mammalian cells as a high-throughput version of the comet assay. It is based on the same principle as the comet assay but provides greater efficacy, automated data processing, and improved consistency between experiments. In this protocol, we present MalariaCometChip to quantitatively assess drug-induced DNA damage in Plasmodium falciparum. For complete details on the use and execution of this protocol, please refer to Xiong et al. (2020).

Automation assisted anaerobic phenotyping for metabolic engineering.

BACKGROUND: Microorganisms can be metabolically engineered to produce a wide range of commercially important chemicals. Advancements in computational strategies for strain design and synthetic biological techniques to construct the designed strains have facilitated the generation of large libraries of potential candidates for chemical production. Consequently, there is a need for high-throughput laboratory scale techniques to characterize and screen these candidates to select strains for further investigation in large scale fermentation processes. Several small-scale fermentation techniques, in conjunction with laboratory automation have enhanced the throughput of enzyme and strain phenotyping experiments. However, such high throughput experimentation typically entails large operational costs and generate massive amounts of laboratory plastic waste. RESULTS: In this work, we develop an eco-friendly automation workflow that effectively calibrates and decontaminates fixed-tip liquid handling systems to reduce tip waste. We also investigate inexpensive methods to establish anaerobic conditions in microplates for high-throughput anaerobic phenotyping. To validate our phenotyping platform, we perform two case studies-an anaerobic enzyme screen, and a microbial phenotypic screen. We used our automation platform to investigate conditions under which several strains of E. coli exhibit the same phenotypes in 0.5 L bioreactors and in our scaled-down fermentation platform. We also propose the use of dimensionality reduction through t-distributed stochastic neighbours embedding (t-SNE) in conjunction with our phenotyping platform to effectively cluster similarly performing strains at the bioreactor scale. CONCLUSIONS: Fixed-tip liquid handling systems can significantly reduce the amount of plastic waste generated in biological laboratories and our decontamination and calibration protocols could facilitate the widespread adoption of such systems. Further, the use of t-SNE in conjunction with our automation platform could serve as an effective scale-down model for bioreactor fermentations. Finally, by integrating an in-house data-analysis pipeline, we were able to accelerate the 'test' phase of the design-build-test-learn cycle of metabolic engineering.

High-throughput determination of oxygen dissociation curves in a microplate reader-A novel, quantitative approach.

In vitro determination of the hemoglobin oxygen dissociation curve (ODC) requires highly elaborate, specialized, and costly technical equipment. In addition, there is a lack of methods that combine reliable ODC recordings with high throughput in small blood samples for routine analysis. We here introduce a modified, commercial 96-well plate with an integrated unidirectional gas flow system specifically adapted for use in fluorescence microplate readers. Up to 92 samples of whole or hemolyzed, buffered or unbuffered blood, including appropriate controls or internal standard hemoglobin solutions, can be analyzed within ~25 min. Oxygen saturation is measured in each well with dual wavelength spectroscopy, and oxygen partial pressure using fluorescence lifetime of commercial oxygen sensors at the in- and outlet ports of the gas-flow system. Precision and accuracy of this method have been determined and were compared with those of a standard method. We further present two applications that exemplarily highlight the usefulness and impact of this novel approach for clinical diagnostics or basic research.

An ABHD17-like hydrolase screening system to identify de-S-acylation enzymes of protein substrates in plant cells.

Protein S-acylation is an important post-translational modification in eukaryotes, regulating the subcellular localization, trafficking, stability, and activity of substrate proteins. The dynamic regulation of this reversible modification is mediated inversely by protein S-acyltransferases and de-S-acylation enzymes, but the de-S-acylation mechanism remains unclear in plant cells. Here, we characterized a group of putative protein de-S-acylation enzymes in Arabidopsis thaliana, including 11 members of Alpha/Beta Hydrolase Domain-containing Protein 17-like acyl protein thioesterases (ABAPTs). A robust system was then established for the screening of de-S-acylation enzymes of protein substrates in plant cells, based on the effects of substrate localization and confirmed via the protein S-acylation levels. Using this system, the ABAPTs, which specifically reduced the S-acylation levels and disrupted the plasma membrane localization of five immunity-related proteins, were identified respectively in Arabidopsis. Further results indicated that the de-S-acylation of RPM1-Interacting Protein 4, which was mediated by ABAPT8, resulted in an increase of cell death in Arabidopsis and Nicotiana benthamiana, supporting the physiological role of the ABAPTs in plants. Collectively, our current work provides a powerful and reliable system to identify the pairs of plant protein substrates and de-S-acylation enzymes for further studies on the dynamic regulation of plant protein S-acylation.

High-throughput human primary cell-based airway model for evaluating influenza, coronavirus, or other respiratory viruses in vitro.

Influenza and other respiratory viruses present a significant threat to public health, national security, and the world economy, and can lead to the emergence of global pandemics such as from COVID-19. A barrier to the development of effective therapeutics is the absence of a robust and predictive preclinical model, with most studies relying on a combination of in vitro screening with immortalized cell lines and low-throughput animal models. Here, we integrate human primary airway epithelial cells into a custom-engineered 96-device platform (PREDICT96-ALI) in which tissues are cultured in an array of microchannel-based culture chambers at an air-liquid interface, in a configuration compatible with high resolution in-situ imaging and real-time sensing. We apply this platform to influenza A virus and coronavirus infections, evaluating viral infection kinetics and antiviral agent dosing across multiple strains and donor populations of human primary cells. Human coronaviruses HCoV-NL63 and SARS-CoV-2 enter host cells via ACE2 and utilize the protease TMPRSS2 for spike protein priming, and we confirm their expression, demonstrate infection across a range of multiplicities of infection, and evaluate the efficacy of camostat mesylate, a known inhibitor of HCoV-NL63 infection. This new capability can be used to address a major gap in the rapid assessment of therapeutic efficacy of small molecules and antiviral agents against influenza and other respiratory viruses including coronaviruses.

Fully automated fast-flow synthesis of antisense phosphorodiamidate morpholino oligomers.

Rapid development of antisense therapies can enable on-demand responses to new viral pathogens and make personalized medicine for genetic diseases practical. Antisense phosphorodiamidate morpholino oligomers (PMOs) are promising candidates to fill such a role, but their challenging synthesis limits their widespread application. To rapidly prototype potential PMO drug candidates, we report a fully automated flow-based oligonucleotide synthesizer. Our optimized synthesis platform reduces coupling times by up to 22-fold compared to previously reported methods. We demonstrate the power of our automated technology with the synthesis of milligram quantities of three candidate therapeutic PMO sequences for an unserved class of Duchenne muscular dystrophy (DMD). To further test our platform, we synthesize a PMO that targets the genomic mRNA of SARS-CoV-2 and demonstrate its antiviral effects. This platform could find broad application not only in designing new SARS-CoV-2 and DMD antisense therapeutics, but also for rapid development of PMO candidates to treat new and emerging diseases.

Double Trap Interface: A novel gas interface for high throughput analysis of biomedical samples by AMS.

Although Accelerator Mass Spectrometry (AMS) offers unparalleled sensitivity by investigating the fate of 14C-labeled compounds within the organism, its widespread use in ADME (absorption, distribution, metabolism, excretion) studies is limited. Conventional approaches based on Liquid Scintillation Counting (LSC) are still preferred, in particular because of complexity and costs associated with AMS measurements. Progress made over the last decade towards more compact AMS systems increased the interest in a combustion-based AMS approach allowing the analysis of samples in gaseous form. Thus, a novel gas Double Trap Interface (DTI) was designed, providing high sample throughput for the analysis of biomedical samples. DTI allows the coupling of an Elemental Analyzer (EA) for sample combustion to the hybrid ion source of a MICADAS (MIni CArbon DAting System) AMS system. The performance was evaluated in two studies through the analysis of more than 1000 samples from 14C-labeled biomatrices and fractions collected after liquid chromatography (LC). The covered activity ranged from 1 to 1000 mBq/g for labeled biomatrices and from 1 to 10000 mBq/g(C) for LC fractions. The implemented routine allows automated measurements requiring less than 5 min per sample (12-13 analyses per hour) without the need for sample conversion to graphite.

Acoustic Droplet-Assisted Superhydrophilic-Superhydrophobic Microarray Platform for High-Throughput Screening of Patient-Derived Tumor Spheroids.

Cell-based high-throughput screening is a key step in the current disease-based research, drug development, and precision medicine. However, it is challenging to establish a rapid culture and screening platform for rare cells (patient-derived) due to the obvious differences between the traditional 2D cell model and the tumor microenvironment, as well as the lack of a low-consumption screening platform for low numbers of cells. Here, we developed an acoustic drop-assisted superhydrophilic-superhydrophobic microarray platform for the rapid culture and screening of a few cells. By employing hydrophilic and hydrophobic microarrays, we can automatically distribute the cell suspension into uniform droplets, and these cells can spontaneously form compact 3D cell spheroids within 36 h (similar to the microenvironment of tumors in vivo). By using the acoustic droplet ejection device, we can accurately inject a drug solution with a volume of ∼pL to ∼nL into the droplet, and the whole process can be completed within 20 ms (one print). By using three different cell lines (Caco-2, MCF-7, and HeLa) to optimize the platform, the culture and screening of five patients' colon cancer were subsequently realized. Using three conventional chemotherapeutics (5-fluorouracil, cetuximab, and panitumumab) of various concentrations, the best treatment was screened out and compared with the actual treatment effect of the patients, and the results were extremely similar. As a proof-of-concept application, we have proved that our platform can quickly cultivate patient samples and effectively screen the best treatment methods, highlighting its wide application in precision medicine, basic tumor research, and drug development.