Bacillus thuringiensis produces insecticidal proteins named Cry toxins, that are used commercially for the control of economical important insect pests. These are pore-forming toxins that interact with different receptors in the insect gut, forming pores in the apical membrane causing cell burst and insect death. Elucidation of the structure of the membrane-inserted toxin is important to fully understand its mechanism of action. One hypothesis proposed that the hairpin of α-helices 4-5 of domain I inserts into the phospholipid bilayer, whereas the rest of helices of domain I are spread on the membrane surface in an umbrella-like conformation. However, a second hypothesis proposed that the three domains of the Cry toxin insert into the bilayer without major conformational changes. In this work we constructed single Cys Cry1Ab mutants that remain active against Manduca sexta larvae and labeled them with different fluorescent probes that have different responses to solvent polarity. Different soluble quenchers as well as a membrane-bound quencher were used to compare the properties of the soluble and brush border membrane-inserted forms of Cry1Ab toxin. The fluorescence and quenching analysis presented here, revealed that domains II and III of the toxin remain in the surface of the membrane and only a discrete region of domain I is inserted into the lipid bilayer, supporting the umbrella model of toxin insertion.
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http://dx.doi.org/10.1074/jbc.M110.202994 | DOI Listing |
Updates Surg
January 2025
Department of Biotechnological and Applied Clinical Sciences, University of L'Aquila, L'Aquila, Italy.
Clinical risk prediction models are ubiquitous in many surgical domains. The traditional approach to develop these models involves the use of regression analysis. Machine learning algorithms are gaining in popularity as an alternative approach for prediction and classification problems.
View Article and Find Full Text PDFViruses
January 2025
Laboratory of Infectious Diseases, College of Veterinary Medicine, Chungnam National University, Daejeon 34134, Republic of Korea.
Self-assembling ferritin nanoparticle technology is a widely used vaccine development platform for enhancing the efficacy of subunit vaccines by displaying multiple antigens on nanocages. The dengue virus (DENV) envelope domain III (EDIII) protein, the most promising antigen for DENV, has been applied in vaccine development, and it is essential to evaluate the relative immunogenicity of the EDIII protein and EDIII-conjugated ferritin to show the efficiency of the ferritin delivery system compared with EDIII. In this study, we optimized the conditions for the expression of the EDIII protein in , protein purification, and refolding, and these optimization techniques were applied for the purification of EDIII ferritin nanoparticles.
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January 2025
Clinical Division of General Anaesthesia and Intensive Care Medicine, Department of Anesthesia, Genera Intensive Care and Pain Therapy, Medical University Vienna, 1090 Vienna, Austria.
Drug development for human disease relies on preclinical model systems such as human cell cultures and animal experiments before therapeutic treatments can ultimately be tested on humans in clinical studies. We here describe the generation of a novel human cell line (HLMVEC/SVTERT289) that we generated by transfection of microvascular endothelial cells from healthy donor lung tissue with the catalytic domain of telomerase and the SV40 large T/small t-antigen. These cells exhibited satisfactory growth characteristics and largely maintained their native characteristics, including morphology, cell surface marker expression, angiogenic potential and the protein composition of secreted extracellular vesicles.
View Article and Find Full Text PDFInt J Mol Sci
January 2025
Centro Nacional de Microbiología, Instituto de Salud Carlos III (ISCIII), Majadahonda, 28220 Madrid, Spain.
Class IA PI3K p110δ and p110α subunits participate in TCR and costimulatory receptor signals involved in T cell-mediated immunity, but the role of p110α is not completely understood. Here, we analyzed a mouse model of the Cre-dependent functional inactivation of p110α (kinase dead) in T lymphocytes (p110αKD-T, KD). KD mice showed increased cellularity in thymus and spleen and altered T cell differentiation with increased number of CD4CD8 DP thymocytes, enhanced proportion of CD4 SP lymphocytes linked to altered apoptosis, lower Treg cells, and increased AKT and ERK phosphorylation in activated thymocytes.
View Article and Find Full Text PDFInt J Mol Sci
January 2025
Department of Bioinformatics and Structural Biochemistry, Institute of Biochemistry of the Romanian Academy, Splaiul Independentei 296, 060031 Bucharest, Romania.
We test here the prediction capabilities of the new generation of deep learning predictors in the more challenging situation of multistate multidomain proteins by using as a case study a coiled-coil family of Nucleotide-binding Oligomerization Domain-like (NOD-like) receptors from and a few extra examples for reference. Results reveal a truly remarkable ability of these platforms to correctly predict the 3D structure of modules that fold in well-established topologies. A lower performance is noticed in modeling morphing regions of these proteins, such as the coiled coils.
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