Open Access. Powered by Scholars. Published by Universities.®
Articles 1 - 2 of 2
Full-Text Articles in Biotechnology
Characterization Of Testis-Derived Mesenchymal Cells And The Hunt For Universal Stemness Markers, Myret Ghabriel
Characterization Of Testis-Derived Mesenchymal Cells And The Hunt For Universal Stemness Markers, Myret Ghabriel
Theses and Dissertations
Mesenchymal stromal/stem cells (MSCs) are multipotent cells residing in multiple tissues with the capacity for self-renewal and differentiation into various cell types. Due to the myriad sources of MSCs the International Society for Cellular Therapy (ISCT) proposed certain criteria for their characterization. Here, we isolate adult MSCs from mouse testes and demonstrate that these testis-derived MSCs (tMSCs) follow some of the ISCT’s criteria. tMSCs expressed the MSCs surface markers CD44, CD73, and CD29 and lacked the expression of the hematopoietic cell marker CD45. Moreover, the cells displayed the capacity for self-renewal and in vitro differentiation into adipocytes. Since the isolation …
A Predictive Model For Geographical Location Using Microbiome Composition And Covid-19 Based Analysis, Ahmed Adel Aboushanab
A Predictive Model For Geographical Location Using Microbiome Composition And Covid-19 Based Analysis, Ahmed Adel Aboushanab
Theses and Dissertations
The human microbiome is a main contributor for the health and welfare of the human body. It is affected by many factors like diet and hygiene. These factors differ between different populations. Testing the population-microbiome differences using healthy samples from different countries is the first objective of this study. This data was then used in training and testing machine learning models (Random Forest and L2-logistic Regression Classifiers) for the prediction of the geographical location based on the microbiome data. Random Forest Classifier had the highest accuracy. Feature importance analysis showed that the data for Proteobacteria, Actinobacteria, and Bacteroidetes improved the …