<HashMap><database>biostudies-literature</database><scores/><additional><submitter>Furtauer L</submitter><funding>Austrian Science Fund FWF</funding><pagination>1912</pagination><full_dataset_link>https://www.ebi.ac.uk/biostudies/studies/S-EPMC5177628</full_dataset_link><repository>biostudies-literature</repository><omics_type>Unknown</omics_type><volume>7</volume><pubmed_abstract>Although compartmentation is a key feature of eukaryotic cells, biological research is frequently limited by methods allowing for the comprehensive subcellular resolution of the metabolome. It has been widely accepted that such a resolution would be necessary in order to approximate cellular biochemistry and metabolic regulation, yet technical challenges still limit both the reproducible subcellular fractionation and the sample throughput being necessary for a statistically robust analysis. Here, we present a method and a detailed protocol which is based on the non-aqueous fractionation technique enabling the assignment of metabolites to their subcellular localization. The presented benchtop method aims at unraveling subcellular metabolome dynamics in a precise and statistically robust man</pubmed_abstract><journal>Frontiers in plant science</journal><pubmed_title>A Benchtop Fractionation Procedure for Subcellular Analysis of the Plant Metabolome.</pubmed_title><pmcid>PMC5177628</pmcid><funding_grant_id>I 2071</funding_grant_id><funding_grant_id>I2071</funding_grant_id><pubmed_authors>Nagele T</pubmed_authors><pubmed_authors>Furtauer L</pubmed_authors><pubmed_authors>Weckwerth W</pubmed_authors></additional><is_claimable>false</is_claimable><name>A Benchtop Fractionation Procedure for Subcellular Analysis of the Plant Metabolome.</name><description>Although compartmentation is a key feature of eukaryotic cells, biological research is frequently limited by methods allowing for the comprehensive subcellular resolution of the metabolome. It has been widely accepted that such a resolution would be necessary in order to approximate cellular biochemistry and metabolic regulation, yet technical challenges still limit both the reproducible subcellular fractionation and the sample throughput being necessary for a statistically robust analysis. Here, we present a method and a detailed protocol which is based on the non-aqueous fractionation technique enabling the assignment of metabolites to their subcellular localization. The presented benchtop method aims at unraveling subcellular metabolome dynamics in a precise and statistically robust man</description><dates><release>2016-01-01T00:00:00Z</release><publication>2016</publication><modification>2026-04-08T15:53:21.384Z</modification><creation>2019-03-27T02:32:16Z</creation></dates><accession>S-EPMC5177628</accession><cross_references><pubmed>28066469</pubmed><doi>10.3389/fpls.2016.01912</doi></cross_references></HashMap>