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MicroRNA evolution in placental mammals: Unravelling conservation and divergence in their regulatory mechanisms in early pregnancy in different placental mammals.


Project Description

This project brings together, in a novel manner, the research areas of placental and uterine biology, computational molecular evolutionary biology, as well as microRNA regulation to understand how miRNAs may have contributed to the emergence of placental mammals. The main focus of this project will be to undertake wet bench analysis to understand the role of phylogenetically restricted miRNAs and the genes they regulate.
Specifically this project will address three main questions:

1) Where are the miRNAs (and the genes they regulate) that arose at the time of placental mammal emergence expressed in species with different placental morphologies?
2) What genes do these miRNAs regulate and do they do this in a species specific manner?
3) Within a species, do these miRNAs regulate gene expression in a tissue specific manner?

Collectively these questions will enhance our understanding of the regulation and function of the uterus and placenta in early pregnancy in mammals that evolved different placental morphologies.

Funding Notes

White Rose BBSRC Doctoral Training Partnership in Mechanistic Biology
4 year fully-funded programme of integrated research and skills training, starting Oct 2019:
• Research Council Stipend
• UK/EU Tuition Fees
• Conference allowance
• Research Costs

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 in order to receive full studentship

Not all projects advertised 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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