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Single-cell spatiotemporal analysis of Mycobacterium tuberculosis responses to antibiotics within host microenvironments

Location: United Kingdom

Source: EU Funding & Tenders Portal

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Ended

Mycobacterium tuberculosis (Mtb), the causative agent of tuberculosis (TB), is an intracellular pathogen that killed 1.6 million people in 2017. Despite its enormous relevance for TB treatment, how intracellular environments affect the response of Mtb to antibiotics remain poorly characterised. This gap in knowledge is mainly due to the lack of appropriate technologies that have precluded comprehe

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The project “Single-cell spatiotemporal analysis of Mycobacterium tuberculosis responses to antibiotics within host microenvironments” is an infrastructure initiative, located in United Kingdom. Taiyo aggregates data on it from EU Funding & Tenders Portal.

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Description

Description

Mycobacterium tuberculosis (Mtb), the causative agent of tuberculosis (TB), is an intracellular pathogen that killed 1.6 million people in 2017. Despite its enormous relevance for TB treatment, how intracellular environments affect the response of Mtb to antibiotics remain poorly characterised. This gap in knowledge is mainly due to the lack of appropriate technologies that have precluded comprehensive understanding of the response of intracellular pathogens to antibiotics, critical to design rational interventions. Here, I propose to use cutting-edge imaging approaches to define: (i) Mtb responses towards specific host-subcellular microenvironments by single-cell live long-term imaging in infected human stem cell-derived macrophages (iPSDM); (ii) the dynamics of antibiotic-mediated killing mechanisms using mycobacterial fluorescent reporters and high resolution correlative microscopy and (iii) the spatial and metabolic features of the Mtb response to antibiotics in vivo using a TB mouse model. For this, I will capitalise on technologies developed in the host group to quantify Mtb localisation and replication at the single-cell level combined with correlative electron microscopy (CLEM and CLEIM) approaches. This project will challenge the current limits of high content imaging by combining iPSDM with micro-patterning technologies for single-cell analysis. This will allow the identification of Mtb responses to antibiotics in host cells and how different intracellular microenvironments impact this process in cellulo and in vivo. Together, this proposal has the potential to uncover novel mechanisms of action of antibiotics in human macrophages, opening new avenues for a deeper understanding of human TB treatment and facilitate the discovery of new antibiotics.

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High

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100%

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