Acute and chronic kidney disease in children is increasing but new therapies to help treat and prevent the progression of the disease are lacking. At the University of Liverpool we are pioneering the use of new cell-based therapies for treating these conditions which are showing considerable promise. In these studies, murine animal models mimic the kidney damage seen in children after cardiac bypass surgery, severe dehydration and blood loss.
Kidney histopathology, despite the intrinsic lack of quantitative analysis power, remains at present the gold standard to assess the presence, location and extent of glomerular and parenchymal damage in animal models of kidney injury.
A rigorous comparison between methods including modern available techniques based on digital slide scanning, Image Analysis and sequential section 3D reconstruction are lacking. The limits of the traditional histological approach strongly contrast with the actual information content of the tissue section, which can be unravelled by applying novel techniques of digital histology.
These techniques enable the histological analysis to become quantitative and extended to the surface area of multiple sections, increasing the representativeness of the sampling.
The candidate will test the hypothesis that novel histological technologies can lead to improved quantitative assessment of measures of renal injury in mouse models of renal injury. Results will be compared with different investigative techniques of kidney function (e.g. blood parameters, imaging etc). The hypothesis is based on the following three assumptions:
- Significant differences are present between the currently used ‘hot-spot’ approach and full slide scan digital assessment
- 3D reconstruction of sequential sections is feasible in kidney models of diseases and improves the understanding of the pathogenesis of the disease
- Quantitative measurement assessed on the full slide scans using Image Analysis are more accurate and potentially leads to a reduction in the numbers of animals tested
The University of Liverpool is fully committed to promoting gender equality in all activities. In recruitment, we emphasise the supportive nature of the working environment and the flexible family support that the University provides.
Qualifications and Experience
You should have a degree in Medicine/Veterinary/Biological science. Previous experience in histological sample interpretation, statistical analysis and/or image analysis software is preferred.
English Language requirement for EU Students is an IELTS score of 6.5 with no band score lower than 5.5.
The start of the PhD is planned for 1st October 2020
To express your interest or for general enquires please contact Prof. Lorenzo Ressel ([email protected]
Applications to be sent to [email protected]
with a CV, statement of interest and names and email addresses of two references.