Abstract
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.
Publication types
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Research Support, Non-U.S. Gov't
MeSH terms
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Acetyltransferases / genetics
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Acetyltransferases / metabolism
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Antimetabolites, Antineoplastic / pharmacology
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Cell Line, Tumor
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Cisplatin / pharmacology
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Computational Biology
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Drug Resistance, Neoplasm / drug effects
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Drug Resistance, Neoplasm / genetics*
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Esophagus / drug effects
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Esophagus / metabolism
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Esophagus / pathology
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Fluorouracil / pharmacology
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Gene Expression Regulation, Neoplastic*
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Humans
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Metabolic Networks and Pathways
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Metabolome
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Models, Statistical*
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Neoplastic Stem Cells / drug effects
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Neoplastic Stem Cells / metabolism*
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Neoplastic Stem Cells / pathology
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Ornithine / metabolism*
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Proteins / genetics
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Proteins / metabolism
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Putrescine / metabolism
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Spermidine / metabolism
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Spermine / metabolism
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Spermine Synthase / genetics
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Spermine Synthase / metabolism
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Transcriptome
Substances
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Antimetabolites, Antineoplastic
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Proteins
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ornithine decarboxylase antizyme
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Spermine
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Ornithine
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Acetyltransferases
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diamine N-acetyltransferase
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Spermine Synthase
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Cisplatin
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Fluorouracil
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Spermidine
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Putrescine