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Mapping path and fate diversity of molecular mechanisms of infection with smart microscopy

Project description

Visualising live bacterial infection pathways

Bacterial pathogens like Yersinia pseudotuberculosis must sense and rapidly adapt to host conditions to evade immune responses, replicate and establish infection. Understanding how these dynamic host-pathogen interactions operate is central for the design of precision therapies and for tackling antibiotic resistance. With the support of the Marie Skłodowska-Curie Actions programme, the InfPathMapper project is working on a super-resolution microscopy (SRM) platform for visualising individual infection events in real time. SRM goes beyond the resolution limits of standard light microscopy and enables imaging at the nanoscale of molecular events inside living cells. Researchers will combine SRM with machine learning to study infection pathways and host responses in an attempt to obtain valuable insight into infection at an early stage.

Objective

Pathogens like Yersinia pseudotuberculosis must rapidly adapt to environmental cues to progress through infection, manipulating host responses to survive and replicate. Understanding these adaptive host-pathogen interactions is key to developing targeted therapies, combating antibiotic resistance, and preventing chronic infections. However, current methods miss rare, transient infection stages, limiting our understanding of infection pathways. My project aims to address this by developing InfPathMapper, a data-driven super-resolution microscopy (SRM) platform to map infection pathways in living cells at molecular resolution.
While advances in fluorescence microscopy provide detailed molecular insights, they often struggle with phototoxicity, limited spatiotemporal resolution, and reliance on fixed samples, missing dynamic information of infection processes. My approach will extend a data-driven microscopy platform by integrating adaptive SRM modalities for live-cell imaging of Y. pseudotuberculosis infection, a pathogen with virulence mechanisms conserved across many bacteria. This system will be able to map pathways of individual infection events at super-resolution level in a live-cell fluorescence-based infection assay supported by machine learning to classify pathogen invasion stages and host cell response patterns. Live-to-fix super-resolution mapping of the molecular architecture of critical infection stages will provide new insights into how Yersinia adapts to niche-specific environments and host-induced stress. By combining cutting-edge microscopy with infection biology, the project will not only set me on an excellent pathway toward achieving research independence, it is also expected to contribute valuable knowledge and tools for the broader research community, fostering innovation in the study of other pathogens and dynamic intracellular processes and the fight against infectious diseases.

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HORIZON-TMA-MSCA-PF-EF - HORIZON TMA MSCA Postdoctoral Fellowships - European Fellowships

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Call for proposal

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(opens in new window) HORIZON-MSCA-2024-PF-01

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Coordinator

LUNDS UNIVERSITET
Net EU contribution

Net EU financial contribution. The sum of money that the participant receives, deducted by the EU contribution to its linked third party. It considers the distribution of the EU financial contribution between direct beneficiaries of the project and other types of participants, like third-party participants.

€ 236 340,00
Address
Paradisgatan 5c
22100 Lund
Sweden

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Region
Södra Sverige Sydsverige Skåne län
Activity type
Higher or Secondary Education Establishments
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Total cost

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