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Profiling of the metabolic transcriptome via single molecule molecular inversion probes

Cancer-specific metabolic alterations are of high interest as therapeutic targets. These alterations vary between tumor types, and to employ metabolic targeting to its fullest potential there is a need for robust methods that identify candidate targetable metabolic pathways in individual cancers. Cu...

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Detalles Bibliográficos
Autores principales: de Bitter, Tessa, van de Water, Carlijn, van den Heuvel, Corina, Zeelen, Carolien, Eijkelenboom, Astrid, Tops, Bastiaan, Oosterwijk, Egbert, Kolev, Dimitar, Mulders, Peter, ter Laan, Mark, van Lith, Sanne, Leenders, William
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5595890/
https://www.ncbi.nlm.nih.gov/pubmed/28900252
http://dx.doi.org/10.1038/s41598-017-11035-0
Descripción
Sumario:Cancer-specific metabolic alterations are of high interest as therapeutic targets. These alterations vary between tumor types, and to employ metabolic targeting to its fullest potential there is a need for robust methods that identify candidate targetable metabolic pathways in individual cancers. Currently, such methods include (13)C-tracing studies and mass spectrometry/ magnetic resonance spectroscopic imaging. Due to high cost and complexity, such studies are restricted to a research setting. We here present the validation of a novel technique of metabolic profiling, based on multiplex targeted next generation sequencing of RNA with single molecule molecular inversion probes (smMIPs), designed to measure activity of and mutations in genes that encode metabolic enzymes. We here profiled an isogenic pair of cell lines, differing in expression of the Von Hippel Lindau protein, an important regulator of hypoxia-inducible genes. We show that smMIP-profiling provides relevant information on active metabolic pathways. Because smMIP-based targeted RNAseq is cost-effective and can be applied in a medium high-throughput setting (200 samples can be profiled simultaneously in one next generation sequencing run) it is a highly interesting approach for profiling of the activity of genes of interest, including those regulating metabolism, in a routine patient care setting.