
Type III secretion systems (T3SSs) are complex nanomachines that export proteins from the bacterial cytoplasm across the cell envelope in a single step. They are at the core of the machinery used to assemble the bacterial flagellum, and the needle complex many Gram-negative pathogens use to inject effector proteins into host cells and cause disease. Several models have been put forward to explain how this export is energized, and the mechanism has been the subject of considerable debate. Here we present an overview of these models and discuss their relative merits. Recent evidence suggests that the proton motive force (pmf) is the primary energy source for type III secretion, although contribution from refolding of secreted proteins has not been ruled out. The mechanism by which the pmf is converted to protein export remains enigmatic.
Adenosine Triphosphatases, Models, Molecular, Cytoplasm, Bacteria, Cell Membrane, Proton-Motive Force, Models, Biological, Protein Transport, Bacterial Proteins, Flagella, Mutation, Type III Secretion Systems, Protein Unfolding
Adenosine Triphosphatases, Models, Molecular, Cytoplasm, Bacteria, Cell Membrane, Proton-Motive Force, Models, Biological, Protein Transport, Bacterial Proteins, Flagella, Mutation, Type III Secretion Systems, Protein Unfolding
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 52 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Top 10% | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Top 10% | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Top 10% |
