is a human fungal pathogen that does not follow the universal codon usage, as it translates the CUG codon into serine rather than leucine. This makes it difficult to study protein-protein interactions using the standard yeast two-hybrid (Y2H) system in the model organism Due to the lack of adapted tools, only a small number of protein-protein interactions (PPIs) have been detected or studied using -optimized tools despite the importance of PPIs to understand cell biology. However, with the sequencing of the whole genome of , the availability of an ORFeome collection containing 5,099 open reading frames (ORFs) in Gateway-adapted donor vectors, and the creation of a Gateway-compatible -specific two-hybrid (C2H) system, it became possible to study protein-protein interactions on a larger scale using itself as the model organism. Erroneous translations are hereby eliminated compared to using the Y2H system. Here, we describe the technical adaptations and the first application of the C2H system for a high-throughput screen, thus making it possible to screen thousands of PPIs at once in itself. This first, small-scale high-throughput screen, using Pho85 as a bait protein against 1,646 random prey proteins, yielded one interacting partner (Pcl5). The interaction found with the high-throughput setup was further confirmed with a low-throughput C2H experiment and with a coimmunoprecipitation (co-IP) experiment. is a major fungal pathogen, and due to the rise of fungal infections and emerging resistance to the limited antifungals available, it is important to develop novel and more specific antifungals. Protein-protein interactions (PPIs) can be applied as very specific drug targets. However, because of the aberrant codon usage of , the traditional yeast two-hybrid system in is difficult to use, and only a limited number of PPIs have been described in To overcome this, a two-hybrid (C2H) system was developed in 2010. The current work describes, for the first time, the application of the C2H system in a high-throughput setup. We hereby show the usefulness of the C2H system to investigate and detect PPIs in , making it possible to further elucidate protein networks in , which has the potential to lead to the development of novel antifungals which specifically disrupt PPIs important for virulence.
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http://dx.doi.org/10.1128/mSphere.00391-18 | DOI Listing |
Dalton Trans
January 2025
School of Materials Science and Chemical Engineering, Harbin University of Science and Technology, Harbin, 150080, China.
In this work, we successfully prepared four POM-based organic-inorganic hybrids, namely, [(CHN)(CHN)][PMoO] (1), [(CHN)(CHN)][PMoO] (2), [(CHN)][PMoO]·4HO (3), and [(CHN)][PMoO] (4) (where CHN = pyridine, CHN = pyrazine, CHN = 2,7-diamino-1,3,4,6,8,9-hexaazaspiro[4.4] nonane, and CHN = 3-amino-1,2,4-triazole), using a hydrothermal method. Compounds 1 and 2 exhibited a lamellar three-dimensional structure.
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January 2025
College of Safety Science and Engineering, Anhui University of Science and Technology, Huainan, 232001, People's Republic of China.
The construction of a predictive model that accurately reflects the spontaneous combustion temperature of coal in goaf is fundamental to monitoring and early warning systems for thermodynamic disasters, including coal spontaneous combustion and gas explosions. In this paper, on the basis of programming temperature experiment and industrial analysis, 381 data sets of 9 coal types are established, and feature selection was executed through the utilization of the Pearson correlation coefficient, ultimately identifying O, CO, CO, CH, CH, CH/CH, CH/CH, CH/CH, CO/CO, and CO/O as input indicators for the prediction model. The chosen indicator data were divided into training and testing sets in a 4:1 ratio, the Particle Swarm Optimization (PSO) methodology was applied to optimize the parameters of the XGBoost regressor, and a universal PSO-XGBoost prediction model is proposed.
View Article and Find Full Text PDFSci Rep
January 2025
Department of Mechanical Engineering, Tarbiat Modares University, Tehran, Iran.
In this study, a series of experiments are done to analyze the effect of bluff body geometry on the NO reduction of a natural gas-air stratified swirl burner. The stratified burner of Cambridge University is chosen to study the mentioned geometrical effect, and the geometry modification of bluff body is used as a simple method for NO reduction, which can be easily applied to the systems using these burners, including gas turbines. The bluff body geometrical change to an annular bluff body is inspired by the fact that the areas in which the edge of the bluff body is in contact with the unburned flow have lower temperatures, which can drastically affect combustion parameters, especially emissions.
View Article and Find Full Text PDFJ Am Chem Soc
January 2025
Liquid Sunlight Alliance, Lawrence Berkeley National Laboratory, 1 Cyclotron Road, Berkeley, California 94720, United States.
The electrochemical CO reduction reaction (CORR) holds enormous potential as a carbon-neutral route to the sustainable production of fuels and platform chemicals. The durability for long-term operation is currently inadequate for commercialization, however, and the underlying deactivation process remains elusive. A fundamental understanding of the degradation mechanism of electrocatalysts, which can dictate the overall device performance, is needed.
View Article and Find Full Text PDFNat Commun
January 2025
Key Laboratory of Special Functional and Smart Polymer Materials of Ministry of Industry and Information Technology, Xi'an Key Laboratory of Functional Organic Porous Materials, School of Chemistry and Chemical Engineering, Northwestern Polytechnical University, Xi'an, Shaanxi, China.
Separation of multi-component mixtures in an energy-efficient manner has important practical impact in chemical industry but is highly challenging. Especially, targeted simultaneous removal of multiple impurities to purify the desired product in one-step separation process is an extremely difficult task. We introduced a pore integration strategy of modularizing ordered pore structures with specific functions for on-demand assembly to deal with complex multi-component separation systems, which are unattainable by each individual pore.
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