Project description:This work examines the impact of various non-pharmaceutical control measures (government and personal) on the population dynamics of the novel coronavirus disease 2019 (COVID-19) in Lagos, Nigeria, using an appropriately formulated mathematical model. Using the available data, since its first reported case on 16 March 2020, we seek to develop a predicative tool for the cumulative number of reported cases and the number of active cases in Lagos; we also estimate the basic reproduction number of the disease outbreak in the aforementioned State in Nigeria. Using numerical simulations, we show the effect of control measures, specifically the common social distancing, use of face mask and case detection (via contact tracing and subsequent testings) on the dynamics of COVID-19. We also provide forecasts for the cumulative number of reported cases and active cases for different levels of the control measures being implemented. Numerical simulations of the model show that if at least 55% of the population comply with the social distancing regulation with about 55% of the population effectively making use of face masks while in public, the disease will eventually die out in the population and that, if we can step up the case detection rate for symptomatic individuals to about 0.8 per day, with about 55% of the population complying with the social distancing regulations, it will lead to a great decrease in the incidence (and prevalence) of COVID-19.
Project description:Purpose: To know the expression of all cytochrome P450 (CYP) enzymes and related drug metabolizing enzymes in pancreatic cancer models Methods: We obtained expression profiles of 8 commercially-available pancreatic cancer cell lines and one non-cancerous immortalized cell line by RNA-sequencing. The pancreatic cancer cells were compared among themselves and to the non-cancerous control cells. Results: We confirmed reports that CYP3A5 is highly overexpressed in pancreatic cancer models, and additionally report that known xenobiotic-metabolizing CYPs are lowly expressed in comparison.
Project description:Due to limited model systems for sebaceous glands we investigated potential suitability of preputial glands as model for sebaceous glands. We performed single-cell sequencing of murine preputial glands and back skin biopsies. This study revealed striking differences in lipid metabolizing enzyme expression and differentiation pathways found in sebocytes of the different tissues.
