A Trans-omics Mathematical Analysis Reveals Novel Functions of the Ornithine Metabolic Pathway in Cancer Stem Cells

Bioinformatics and computational modelling are expected to offer innovative approaches in human medical science. In the present study, we performed computational analyses and made predictions using transcriptome and metabolome datasets obtained from fluorescence-based visualisations of chemotherapy-...

Descripción completa

Detalles Bibliográficos
Autores principales: Koseki, Jun, Matsui, Hidetoshi, Konno, Masamitsu, Nishida, Naohiro, Kawamoto, Koichi, Kano, Yoshihiro, Mori, Masaki, Doki, Yuichiro, Ishii, Hideshi
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group 2016
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4749963/
https://www.ncbi.nlm.nih.gov/pubmed/26864636
http://dx.doi.org/10.1038/srep20726
Descripción
Sumario:Bioinformatics and computational modelling are expected to offer innovative approaches in human medical science. In the present study, we performed computational analyses and made predictions using transcriptome and metabolome datasets obtained from fluorescence-based visualisations of chemotherapy-resistant cancer stem cells (CSCs) in the human oesophagus. This approach revealed an uncharacterized role for the ornithine metabolic pathway in the survival of chemotherapy-resistant CSCs. The present study fastens this rationale for further characterisation that may lead to the discovery of innovative drugs against robust CSCs.

Ejemplares similares