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Applying Spatial Transcriptomics to understand inflammatory skin diseases

Description 
Psoriasis is a skin autoimmune disease that affects 2-3% of the global population. Around half of the patients carry the major risk gene for developing the disease: Human Leukocyte Antigen-C*06:02 (HLA-Cw6). The function of HLA molecules is to present little protein snippets (peptide antigens) to immune cells, e.g. T cells. The immune cells, in turn, decide whether the presented antigen is harmless and can be ignored or poses a danger and needs dealing with. In order to understand closer the role of T cells and other immune cells in inflammatory skin conditions like psoriasis, we apply the new technology of spatial transcriptomics to interrogate cell-cell interactions in skin during steady state and disease. If you have a keen interest in bioinformatics and data science paired with coding experience, this cutting edge project can teach you big data analysis in the budding field of spatial transcriptomics.
Essential criteria: 
Minimum entry requirements can be found here: https://www.monash.edu/admissions/entry-requirements/minimum
Keywords 
spatial transcriptomics, data science, bioinformatics, skin, dermatology
School 
Biochemistry and Molecular Biology
Available options 
PhD/Doctorate
Masters by research
Honours
BMedSc(Hons)
Time commitment 
Full-time
Top-up scholarship funding available 
No
Physical location 
15 Innovation Walk
Co-supervisors 
Dr 
Chen Li

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