<HashMap><database>biostudies-literature</database><scores/><additional><submitter>Cai F</submitter><funding>NIDDK NIH HHS</funding><funding>Howard Hughes Medical Institute</funding><funding>NCI NIH HHS</funding><funding>NIGMS NIH HHS</funding><funding>NIH HHS</funding><pagination>1830-1843.e5</pagination><full_dataset_link>https://www.ebi.ac.uk/biostudies/studies/S-EPMC10732579</full_dataset_link><repository>biostudies-literature</repository><omics_type>Unknown</omics_type><volume>35(10)</volume><pubmed_abstract>Stable isotopes are powerful tools to assess metabolism. &lt;sup>13&lt;/sup>C labeling is detected using nuclear magnetic resonance (NMR) spectroscopy or mass spectrometry (MS). MS has excellent sensitivity but generally cannot discriminate among different &lt;sup>13&lt;/sup>C positions (isotopomers), whereas NMR is less sensitive but reports some isotopomers. Here, we develop an MS method that reports all 16 aspartate and 32 glutamate isotopomers while requiring less than 1% of the sample used for NMR. This method discriminates between pathways that result in the same number of &lt;sup>13&lt;/sup>C labels in aspartate and glutamate, providing enhanced specificity over conventional MS. We demonstrate regional metabolic heterogeneity within human tumors, document the impact of fumarate hydratase (FH) deficie</pubmed_abstract><journal>Cell metabolism</journal><pubmed_title>Comprehensive isotopomer analysis of glutamate and aspartate in small tissue samples.</pubmed_title><pmcid>PMC10732579</pmcid><funding_grant_id>P41 GM122698</funding_grant_id><funding_grant_id>P50 CA196516</funding_grant_id><funding_grant_id>P50 CA070907</funding_grant_id><funding_grant_id>R35 CA220449</funding_grant_id><funding_grant_id>RM1 GM148766</funding_grant_id><funding_grant_id>U2C DK119889</funding_grant_id><funding_grant_id>S10 OD028753</funding_grant_id><funding_grant_id>F31 CA239330</funding_grant_id><funding_grant_id>R01 DK132254</funding_grant_id><pubmed_authors>Merritt ME</pubmed_authors><pubmed_authors>DeBerardinis RJ</pubmed_authors><pubmed_authors>Ko B</pubmed_authors><pubmed_authors>Pachnis P</pubmed_authors><pubmed_authors>Gu W</pubmed_authors><pubmed_authors>Bezwada D</pubmed_authors><pubmed_authors>Martin-Sandoval M</pubmed_authors><pubmed_authors>Cai L</pubmed_authors><pubmed_authors>Cai F</pubmed_authors><pubmed_authors>Yang C</pubmed_authors><pubmed_authors>Do D</pubmed_authors><pubmed_authors>Wu Z</pubmed_authors><pubmed_authors>Kelekar S</pubmed_authors><pubmed_authors>Mathews TP</pubmed_authors><pubmed_authors>Brooks B</pubmed_authors><pubmed_authors>Malloy CR</pubmed_authors><pubmed_authors>Margulis V</pubmed_authors><pubmed_authors>Mahar R</pubmed_authors><pubmed_authors>Chang MC</pubmed_authors><pubmed_authors>Vu HS</pubmed_authors><pubmed_authors>Zacharias LG</pubmed_authors><pubmed_authors>Oaxaca KC</pubmed_authors><pubmed_authors>Jin ES</pubmed_authors></additional><is_claimable>false</is_claimable><name>Comprehensive isotopomer analysis of glutamate and aspartate in small tissue samples.</name><description>Stable isotopes are powerful tools to assess metabolism. &lt;sup>13&lt;/sup>C labeling is detected using nuclear magnetic resonance (NMR) spectroscopy or mass spectrometry (MS). MS has excellent sensitivity but generally cannot discriminate among different &lt;sup>13&lt;/sup>C positions (isotopomers), whereas NMR is less sensitive but reports some isotopomers. Here, we develop an MS method that reports all 16 aspartate and 32 glutamate isotopomers while requiring less than 1% of the sample used for NMR. This method discriminates between pathways that result in the same number of &lt;sup>13&lt;/sup>C labels in aspartate and glutamate, providing enhanced specificity over conventional MS. We demonstrate regional metabolic heterogeneity within human tumors, document the impact of fumarate hydratase (FH) deficie</description><dates><release>2023-01-01T00:00:00Z</release><publication>2023 Oct</publication><modification>2026-04-12T23:18:22.75Z</modification><creation>2025-02-19T01:18:31.517Z</creation></dates><accession>S-EPMC10732579</accession><cross_references><pubmed>37611583</pubmed><doi>10.1016/j.cmet.2023.07.013</doi></cross_references></HashMap>