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Regina Esinam Abotsi

PhD candidate - Pathology-Division of Medical Microbiology at University of Cape Town | Cape Town , South Africa

Basic Medical Sciences, Healthcare, Life Sciences, Medicine
Spoken languages:
Looking for a mentor and open to collaboration.
Support Level:
Long-term mentoring and support
Support Needed:
Proposal development, Statistics, Statistical advice, Study design, Career mentoring, Data analysis, Data management and sharing


Life Sciences, Basic Medical Sciences, Medicine, Healthcare
Research Keywords:
Antibiotic resistance, Antimicrobial resistance, microbiome, metabolomics, sickle cell disease, infectious diseases, bioinformatics, omics, genomics
Collaboration interests:
microbiome, metabolomics, bioinformatics, antimicrobial resistance
Regina Esinam Abotsi (M.Pharm., B.Pharm.) is a member of the Pharmaceutical Society of Ghana and has over 3 years’ experience as a practicing pharmacist. She received her Bachelor of Pharmacy degree at the Kwame Nkrumah University of Science and Technology, Ghana and her Master of Pharmaceutical Microbiology degree at the University of KwaZulu-Natal, South Africa. Regina has served as an Assistant Lecturer of Pharmaceutical Microbiology at the School of Pharmacy, University of Health and Allied Sciences, Ghana. She has also held the position of a teaching and research assistant in both Pharmaceutical Science Department of Central University, Ghana and the University of KwaZulu-Natal. While pursuing her Master of Pharmacy degree, she investigated the molecular mechanisms underlining fluoroquinolone resistance in Haemophilus species. This resulted in 4 publications and 2 conference abstracts. Regina is currently pursuing her Ph.D. in Medical Microbiology at the University of Cape Town, South Africa, where she is also a teaching assistant for Infectious Disease and Immunology postgraduate program. Regina’s current research focusses on the effect of antibiotic use on the microbiome of children in Ghana with sickle cell disease (SCD). Advanced approaches including the 16S ribosomal RNA gene massively parallel sequencing-based method and shotgun metagenomic sequencing will be employed to characterize the microbiome of sickle cell patients and their age-matched controls. Various bioinformatic tools including QIIME, PICRUSt, etc will be used to analyse results. It is hoped that results from this study will enhance the understanding of SCD and inform its management.

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