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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...
Autores principales: | , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2017
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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 |
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author | 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 |
author_facet | 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 |
author_sort | de Bitter, Tessa |
collection | PubMed |
description | 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. |
format | Online Article Text |
id | pubmed-5595890 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-55958902017-09-14 Profiling of the metabolic transcriptome via single molecule molecular inversion probes 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 Sci Rep Article 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. Nature Publishing Group UK 2017-09-12 /pmc/articles/PMC5595890/ /pubmed/28900252 http://dx.doi.org/10.1038/s41598-017-11035-0 Text en © The Author(s) 2017 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/. |
spellingShingle | Article 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 Profiling of the metabolic transcriptome via single molecule molecular inversion probes |
title | Profiling of the metabolic transcriptome via single molecule molecular inversion probes |
title_full | Profiling of the metabolic transcriptome via single molecule molecular inversion probes |
title_fullStr | Profiling of the metabolic transcriptome via single molecule molecular inversion probes |
title_full_unstemmed | Profiling of the metabolic transcriptome via single molecule molecular inversion probes |
title_short | Profiling of the metabolic transcriptome via single molecule molecular inversion probes |
title_sort | profiling of the metabolic transcriptome via single molecule molecular inversion probes |
topic | Article |
url | 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 |
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