High-throughput screening identifies established drugs as SARS-CoV-2 PLpro inhibitors

A new coronavirus (SARS-CoV-2) has been identified as the etiologic agent for the COVID-19 outbreak. Currently, effective treatment options remain very limited for this disease; therefore, there is an urgent need to identify new anti-COVID-19 agents. In this study, we screened over 6,000 compounds that included approved drugs, drug candidates in clinical trials, and pharmacologically active compounds to identify leads that target the SARS-CoV-2 papain-like protease (PLpro). Together with main protease (M

Clinical and biomedical applications of surface plasmon resonance systems

Abstract Surface plasmon resonance (SPR)-based biosensors offer superior analytical features such as simplicity, sensitivity, and specificity when compared to conventional methods in clinical analyses. In addition, they deliver real-time monitoring of label-free analytes with high-throughput approaches requiring little sample pretreatment that allows the analysis of virtually every clinical sample type to determine the amount and/or activity of any molecule of interest. Accordingly, SPR emerges as a novel, efficient, powerful, and relatively low-cost alternative tool for routine clinical analysis, opening also new horizons for developments in personalized medicine applied to diagnostics or therapeutics’ monitoring.

High-throughput micro-phenotyping measurements applied to assess stalk lodging in maize ( Zea mays L. )

BACKGROUND: The biomechanical properties of maize stalks largely determine their lodging resistance, which affects crop yield per unit area. However, the quantitative and qualitative relationship between micro-phenotypes and the biomechanics of maize stalks is still under examined. In particular, the roles of the number, geometry, and distribution of vascular bundles of stalks in maize lodging resistance remain unclear. Research on these biomechanical properties will benefit from high-resolution micro-phenotypic image acquisition capabilities, which have been improved by modern X-ray imaging devices such as micro-CT and the development of micro-phenotyping analysis software. Hence, high-throughput image analysis and accurate quantification of anatomical phenotypes of stalks are necessary. RESULTS: We have updated VesselParser version 1.0 to version 2.0 and have improved its performance, accuracy, and computation strategies. Anatomical characteristics of the second and third stalk internodes of the cultivars 'Jingke968' and 'Jingdan38' were analyzed using VesselParser 2.0. The relationships between lodging resistance and anatomical phenotypes of stalks between the two different maize varieties were investigated. The total area of vascular bundles in the peripheral layer, auxiliary axis diameter, and total area of vascular bundles were revealed to have the highest correlation with mechanical properties, and anatomical phenotypes of maize stalk were better predictors of mechanical properties than macro features observed optically from direct measurement, such as diameter and perimeter. CONCLUSIONS: This study demonstrates the utility of VesselParser 2.0 in assessing stalk mechanical properties. The combination of anatomical phenotypes and mechanical behavior research provides unique insights into the problem of stalk lodging, showing that micro phenotypes of vascular bundles are good predictors of maize stalk mechanical properties that may be important indices for the evaluation and identification of the biomechanical properties to improve lodging resistance of future maize varieties.

Omics-based biomarkers: current status and potential use in the clinic / Biomarcadores basados en tecnologías ómicas: estado actual y su potencial uso en la clínica

Abstract: In recent years, the use of high-throughput omics technologies has led to the rapid discovery of many candidate biomarkers. However, few of them have made the transition to the clinic. In this review, the promise of omics technologies to contribute to the process of biomarker development is described. An overview of the current state in this area is presented with examples of genomics, proteomics, transcriptomics, metabolomics and microbiomics biomarkers in the field of oncology, along with some proposed strategies to accelerate their validation and translation to improve the care of patients with neoplasms. The inherent complexity underlying neoplasms combined with the requirement of developing well-designed biomarker discovery processes based on omics technologies present a challenge for the effective development of biomarkers that may be useful in guiding therapies, addressing disease risks, and predicting clinical outcomes.

Resumen: En los últimos años, el uso de las tecnologías ómicas de alta densidad de datos ha permitido el rápido descubrimiento de posibles biomarcadores. Sin embargo, esto no ha tenido un impacto notable en la clínica ya que se han implementado muy pocos de esos biomarcadores. En el presente documento se describe el potencial de las tecnologías ómicas en el desarrollo de nuevos biomarcadores. Con el objetivo de dar a conocer un panorama general de la situación actual, se comentan algunos ejemplos ilustrativos de biomarcadores genómicos, transcriptómicos, proteómicos, metabolómicos y microbiómicos en el campo de la investigación en oncología. Asimismo, se señalan algunas de las recomendaciones que se han propuesto para acelerar su validación e implementación, y se comenta sobre cómo la complejidad inherente a las enfermedades se combina con la complejidad de las tecnologías ómicas, de tal modo que el desarrollo de biomarcadores predictivos, pronósticos y diagnósticos eficientes plantea retos importantes.

A high-throughput screening assay for distinguishing nitrile hydratases from nitrilases

A modified colorimetric high-throughput screen based on pH changes combined with an amidase inhibitor capable of distinguishing between nitrilases and nitrile hydratases. This enzymatic screening is based on a binary response and is suitable for the first step of hierarchical screening projects.

Evaluation of a multiplex selective enrichment broth SEL for simultaneous detection of injured Salmonella, Escherichia coli O157:H7 and Listeria monocytogenes

Although many rapid and high throughput molecular methods have been developed in the recent years for the multiplex detection of foodborne pathogens, the simultaneous recovery and enrichment of sublethally injured cells is still a problem that needs to be considered. Combined with previous established multiplex real-time PCR assay, the capability of simultaneous recovery and enrichment of sublethally injured Salmonella, E. coli O157:H7 and L. monocytogenes cells was evaluated in a multiplex selective enrichment broth SEL. The injured cells were obtained by heat shock. After evaluation of different procedures, 1 h of recovery period prior to 20 h of enrichment was proved to be necessary for the detection of less than 10 CFU/5 mL broth of injured L. monocytogenes. When the detection method was applied to artificially contaminated ground beef, all the three injured pathogens could be simultaneously detected without discrimination by real-time PCR combined with SEL broth, the detection limit was < 5 CFU/10 g ground beef. Comparatively, when BPW was employed as the enrichment broth in the same detection procedure, injured L. monocytogenes could not be detected if the initially spiked level was below 10² CFU/10 g ground beef. Considering the capability of co-enrichment and high detection effectiveness, the real-time PCR assay combined with SEL broth herein appears to be a promising tool for high-throughput screening of a large number of processed food samples, which require either single or multiple pathogen detection. More important, the sublethally injured foodborne pathogen cells were also detectable.