Ontology highlight
ABSTRACT: The Metabolomics workshop on experimental and data analysis training for untargeted metabolomics was hosted by the Proteomics Society of India in December 2019. The Workshop included six tutorial lectures and hands-on data analysis training sessions presented by seven speakers. The tutorials and hands-on data analysis sessions focused on workflows for liquid chromatography-mass spectrometry (LC-MS) based on untargeted metabolomics. We review here three main topics from the workshop which were uniquely identified as bottlenecks for new researchers: a) experimental design, b) quality controls during sample preparation and instrumental analysis and c) data quality evaluation. Our objective here is to present common challenges faced by novice researchers and present possible guidelines and resources to address them. We provide resources and good practices for researchers who are at the initial stage of setting up metabolomics workflows in their labs. Complete detailed metabolomics/lipidomics protocols are available online at EMBL-MCF protocol including video tutorials.
INSTRUMENT(S): Liquid Chromatography MS - positive - reverse, Liquid Chromatography MS - positive - hilic, Liquid Chromatography MS - negative - reverse, Liquid Chromatography MS - negative - hilic
SUBMITTER: Prasad Phapale
PROVIDER: MTBLS1301 | MetaboLights | 2020-12-17
REPOSITORIES: MetaboLights
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Cell stem cell 20190711 2
Brain tumor stem cells (BTSCs) are a chemoresistant population that can drive tumor growth and relapse, but the lack of BTSC-specific markers prevents selective targeting that spares resident stem cells. Through a ribosome-profiling analysis of mouse neural stem cells (NSCs) and BTSCs, we find glycerol-3-phosphate dehydrogenase 1 (GPD1) expression specifically in BTSCs and not in NSCs. GPD1 expression is present in the dormant BTSC population, which is enriched at tumor borders and drives tumor ...[more]