Título
Transcriptomic meta-analysis of sorted CD133+ stem cells and their analogues in cancer yields a set of common differentially expressed genes and overrepresented functional categories
Autor
RAQUEL CUEVAS DIAZ DURAN
Nivel de Acceso
Acceso Abierto
Materias
Resumen o descripción
359186
The use of stem cells has been exploited for their potential application in regenerative medicine due to their properties of self-renewal, proliferation, differentiation, and immunomodulation. The isolation of primitive stem cells focuses on the presence of surface biomarkers, prominin-1/CD133 among them, on account of the potential therapeutic applications that have been reported for CD133+ stem cells in preclinical studies. However, CD133 is also one of the most prominent and commonly reported surface biomarkers for cancer stem cells (CSCs). Prominin-1 has also been associated with proliferation, cell survival, and autophagy in precursor and mature cells. Accordingly, prominin-1 appears to be a good candidate for targeting but its biological implication remains to be further determined.
Here, we made use of publicly available gene expression data of sorted CD133+ cells from normal and cancerous sources to perform an integrated meta-analysis to identify a set of differentially expressed (DE) genes and attempt to find functional relationships among them. A subset of statistically significant genes was further validated in silico. The identification of representative genes and a co-expression network had the aim to better elucidate the underlying biological function of prominin-1/CD133. The present project melds biomedical knowledge with the use of bioinformatics, exploiting the availability of large databases of genomic information. Moreover, our methodology is a cost-effective approach to extract knowledge from biological data in a fast and accurate way.
Master of Science in Biomedical Sciences
Editor
Instituto Tecnológico y de Estudios Superiores de Monterrey
Fecha de publicación
2019
Tipo de publicación
Tesis de maestría
Recurso de información
Formato
application/pdf
Idioma
Inglés
Audiencia
Investigadores
Repositorio Orígen
Repositorio Institucional del Tecnológico de Monterrey
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