
pmid: 28889297
Bacteria produce toxins to enhance their competitiveness in the colonization of an environment as well as during an infection. The delivery of toxins into target cells is mediated by several types of secretion systems, among them our focus is Type III and Type VI Secretion Systems (T3SS and T6SS, respectively). A thorough methodology is provided detailing how to identify if cyclic di-GMP signaling plays a role in the P. aeruginosa toxin delivery mediated by T3SS or T6SS. This includes in vitro preparation of the samples for Western blot analysis aiming at detecting possible c-di-GMP-dependent T3SS/T6SS switch, as well as in vivo analysis using the model organism Galleria mellonella to demonstrate the ecological and pathogenic consequence of the switch between these two secretion systems.
Bacterial toxins, Bacterial Toxins, Pseudomonas aeruginosa / genetics, Moths, Type III Secretion Systems / metabolism, Type III Secretion Systems, Cyclic GMP / analogs & derivatives, Animals, Cyclic GMP / metabolism, Type VI Secretion Systems / genetics, Cyclic GMP, Type VI Secretion Systems / metabolism, Pseudomonas aeruginosa / pathogenicity, Type VI Secretion Systems, Type III Secretion Systems / genetics, Bacterial Toxins / metabolism, Moths / microbiology, Galleria mellonella, Type VI secretion, Pseudomonas aeruginosa / metabolism, Mutation, Pseudomonas aeruginosa, Type III secretion, Cyclic di-GMP
Bacterial toxins, Bacterial Toxins, Pseudomonas aeruginosa / genetics, Moths, Type III Secretion Systems / metabolism, Type III Secretion Systems, Cyclic GMP / analogs & derivatives, Animals, Cyclic GMP / metabolism, Type VI Secretion Systems / genetics, Cyclic GMP, Type VI Secretion Systems / metabolism, Pseudomonas aeruginosa / pathogenicity, Type VI Secretion Systems, Type III Secretion Systems / genetics, Bacterial Toxins / metabolism, Moths / microbiology, Galleria mellonella, Type VI secretion, Pseudomonas aeruginosa / metabolism, Mutation, Pseudomonas aeruginosa, Type III secretion, Cyclic di-GMP
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| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Top 10% |
