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Jepson, M. A.

Publications and source records attributed to Jepson, M. A..

2 recordsLinked to original sources

Direct targeting of the WAVE-regulatory complex and the actin cytoskeleton by the Anaplasma phagocytophilum effector, AnkA

The obligate intracellular tick-borne pathogen Anaplasma phagocytophilum is unusual in its tropism for neutrophils, within which it survives and replicates. Central to the ability of this bacterium to colonize this hostile niche are secreted effector proteins. One such effector protein, AnkA, interacts with multiple host ligands in both the cytoplasm and the nucleus, yet how these interactions promote infection is largely unknown. We discovered that AnkA directly binds both the WAVE Regulatory Complex (WRC), a signal-integration hub that regulates the formation of branched actin networks underpinning diverse cell functions, and to monomeric and filamentous actin. We determined that AnkA uses two forms of molecular mimicry, first by binding to the Abi1 component of the WRC via a WRC-Recruiting Abi-binding Peptide (WRAP), and second by binding to actin via a WH2-like Actin Binding Motif (ABM). Via these interactions, AnkA can exert multi-factorial influence on the actin cytoskeleton and signaling pathways converging on this host structure. AnkA and the WRC co-localise during bacterial internalization and during the late stages of infection, suggesting a central role in both host-cell colonization and bacterial dissemination. Our work reveals AnkA as the first example of a bacterial effector that directly targets the WRC. The co-occurrence of WRAP- and ABM-like motifs in other bacterial effector proteins suggests that this mechanism of actin cytoskeleton subversion may represent a conserved strategy used by other obligate intracellular bacteria.

microbiology↗

ModularImageAnalysis (MIA): Assembly of modularised image and object analysis workflows in ImageJ

ModularImageAnalysis (MIA) is an ImageJ plugin providing a code-free graphical environment in which complex automated analysis workflows can be constructed and distributed. The near 200 included modules cover all stages of a typical analysis workflow, from image loading through image processing, object detection, extraction of measurements, measurement-based filtering, visualisation, and data exporting. MIA provides out-of-the-box compatibility with many advanced image processing plugins for ImageJ including Bio-Formats, DeepImageJ, MorphoLibJ and TrackMate, allowing these tools and their outputs to be directly incorporated into analysis workflows. By default, modules support spatially calibrated 5D images, meaning measurements can be acquired in both pixel and calibrated units. A hierarchical object relationship model allows for both parent-child (one-to-many) and partner (many-to-many) relationships to be established. These relationships underpin MIAs ability to track objects through time, represent complex spatial relationships (e.g. skeletons) and measure object distributions (e.g. count puncta per cell). MIA features dual graphical interfaces: the "editing view" offers access to the full list of modules and parameters in the workflow, while the simplified "processing view" can be configured to display only a focused subset of controls. All workflows are batch-enabled by default, with image files within a specified folder being processed automatically and exported to a single spreadsheet. Beyond the included modules, functionality can be extended both internally, through integration with the ImageJ scripting interface, and externally, by developing third-party Java modules that extend the core MIA framework. Here we describe the design and functionality of MIA in the context of a series of real-world example analyses.

bioinformatics↗