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. 2020 Aug 20;12(9):2357. doi: 10.3390/cancers12092357

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© 2020 by the authors.

Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).

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Results of the algorithm to determine the expected metabolite level alterations (ADEMA) network analysis of NMR high resonance magic angle spinning (HRMAS) metabolomics profile of mammary gland tumors in mice: (A) between PyMT^Tg; MMP11^Tg mice compared to PyMT^Tg; MMP11^WT controls and (B) between PyMT^Tg; MMP11^KO compared to PyMT^Tg; MMP11^WT controls. The metabolites underlined and written with an arrow for each one indicate the metabolites that are predicted to increase and decrease in PyMT^Tg; MMP11^Tg (A) or PyMT^Tg; MMP11^KO (B). The metabolites in green are present in the mitochondria. GSH: reduced glutathione; GSSG: oxidized glutathione; DHAsc: dehydroascorbate; g-glutamyl-AA: g-glutamyl-amino acid; Gly: glycine; ACL: ATP citrate lyase; AA-CoA: acetoacetyl-CoA.