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Understanding the role maternal environmental stressors play in endometrial cell signaling: consequences for food, fertility and health.


Project Description

Correct and appropriate function of the uterine endometrium is essential for early pregnancy success in mammalian species and dysregulation of signaling in this tissue leads to pregnancy loss and disease progression.
Even when the endometrium functions appropriately, exposure to maternal environmental stresses can alter the environment in which the offspring are gestated which can lead to increased likelihood of developing disease in later life. Understanding how the cells of the endometrium respond to normal and pathological environmental cues and/or stresses will enhance our fundamental understanding of the endometrium and potentially identify novel molecules for intervention.
This project will focus how these environmental stresses modify noncanonical receptor tyrosine kinase signaling (in the absence of growth
factors) and how this modified a very specific type of signaling mechanism – extracellular vesicles. Practical aspects of this project will include using micro-fluidics devices to mimic cycle-related changes in hormones as well as maternal stresses. Isolation and characterization of EVs will be carried out by nanoparticle tracking and identification of cargoes will be carried out by omics approaches including next generation sequencing of different RNA species as well as mass spectrometry approaches.

Funding Notes

White Rose BBSRC Doctoral Training Partnership in Mechanistic Biology
4 year fully-funded programme of integrated research and skills training, starting Oct 2020:
• Research Council Stipend
• UK/EU Tuition Fees
• Conference and research funding

Requirements:
At least a 2:1 honours degree or equivalent. We welcome students with backgrounds in biological, chemical or physical sciences, or mathematical backgrounds with an interest in biological questions.

EU candidates require 3 years of UK residency to receive full studentship

Not all projects will be funded; the DTP will appoint a limited number of candidates via a competitive process.

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How good is research at University of Leeds in Biological Sciences?

FTE Category A staff submitted: 60.90

Research output data provided by the Research Excellence Framework (REF)

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