Amishasingh Beeharry
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Email
ab20768@essex.ac.uk -
Location
Colchester Campus
Profile
- Glioblastoma
- Liquid Biopsy
- Nucleosome repositioning
Biography
I was born and raised in Italy until 2016. I had started following the path towards a field in computer science, but this was changed once I moved into the UK and I decided to pursue biological subjects. I graduated from the University of Essex, obtaining a Bachelor of Science in in Biomedical Science. During the first and second year as an undergraduate I was the Vice-president of the Life Sciences society. During my last year I was awarded a placement in the internship scheme "Frontrunners", where I was introduced to the challenge of contributing towards the development of alternative methods to detect cancer in its earlier stages, more specifically in Glioblastoma multiforme and, at the same time, I was given a chance to combine my background. This prompted me to follow an MSD in Molecular Sciences, where I am utilising bioinformatical tools to explore such topics.
Qualifications
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Bachelor of Sciences: Biomedical Science University of Essex (2023)
Research and professional activities
Thesis
Glioblastoma (GBM) is a common grade IV central nervous system glioma with poor prognosis. In my research I delve into studying the application of the so-called liquid biopsies based on cell-free DNA, such as blood-plasma. My project aims at studying the landscape of GBM by comparing the effect of nuclesosome repositioning on paired normal, tumour sample and cfDNA to see their effect on transcription factors.
Supervisor: Dr Vlad Teif
Research interests
Nucleosome repositioning in Glioblastoma from liquid biopsies based on cfDNA
Glioblastoma (GBM) is a common grade IV central nervous system glioma with poor prognosis. In my research I delve into studying the application of the so-called liquid biopsies based on cell-free DNA, such as blood-plasma. My project aims at studying the landscape of GBM by comparing the effect of nuclesosome repositioning on paired normal, tumour sample and cfDNA to see their effect on transcription factors.
