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Journal articles on the topic 'Stable isotope-resolved metabolomics'

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Published: 4 June 2021
Last updated: 15 February 2022

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1

Fan, Teresa W. M., Pawel K. Lorkiewicz, Katherine Sellers, Hunter N. B. Moseley, Richard M. Higashi, and Andrew N. Lane. "Stable isotope-resolved metabolomics and applications for drug development." Pharmacology & Therapeutics 133, no. 3 (2012): 366–91. http://dx.doi.org/10.1016/j.pharmthera.2011.12.007.

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2

Bruntz, Ronald C., Andrew N. Lane, Richard M. Higashi, and Teresa W. M. Fan. "Exploring cancer metabolism using stable isotope-resolved metabolomics (SIRM)." Journal of Biological Chemistry 292, no. 28 (2017): 11601–9. http://dx.doi.org/10.1074/jbc.r117.776054.

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3

Fan, Teresa W.-M., and Andrew N. Lane. "NMR-based stable isotope resolved metabolomics in systems biochemistry." Journal of Biomolecular NMR 49, no. 3-4 (2011): 267–80. http://dx.doi.org/10.1007/s10858-011-9484-6.

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4

Lane, Andrew N., and Teresa W.-M. Fan. "NMR-based Stable Isotope Resolved Metabolomics in systems biochemistry." Archives of Biochemistry and Biophysics 628 (August 2017): 123–31. http://dx.doi.org/10.1016/j.abb.2017.02.009.

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5

Fan, Teresa W. M., and Andrew N. Lane. "Erratum to: NMR-based stable isotope resolved metabolomics in systems biochemistry." Journal of Biomolecular NMR 49, no. 3-4 (2011): 325. http://dx.doi.org/10.1007/s10858-011-9503-7.

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6

Lin, Penghui, Li Dai, Daniel R. Crooks, et al. "NMR Methods for Determining Lipid Turnover via Stable Isotope Resolved Metabolomics." Metabolites 11, no. 4 (2021): 202. http://dx.doi.org/10.3390/metabo11040202.

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Lipids comprise diverse classes of compounds that are important for the structure and properties of membranes, as high-energy fuel sources and as signaling molecules. Therefore, the turnover rates of these varied classes of lipids are fundamental to cellular function. However, their enormous chemical diversity and dynamic range in cells makes detailed analysis very complex. Furthermore, although stable isotope tracers enable the determination of synthesis and degradation of complex lipids, the numbers of distinguishable molecules increase enormously, which exacerbates the problem. Although LC-
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7

Qin, Xuemei, Ting Linghu, Junsheng Tian, Xiang Zhang, and Gunahua Du. "Determination of serum metabolites in mouse based on stable isotope-resolved metabolomics." Proceedings for Annual Meeting of The Japanese Pharmacological Society WCP2018 (2018): PO1–6–7. http://dx.doi.org/10.1254/jpssuppl.wcp2018.0_po1-6-7.

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8

Fan, Teresa W. M., Andrew N. Lane, Richard M. Higashi, and Jun Yan. "Stable isotope resolved metabolomics of lung cancer in a SCID mouse model." Metabolomics 7, no. 2 (2010): 257–69. http://dx.doi.org/10.1007/s11306-010-0249-0.

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9

Winnike, Jason H., Peter Pediaditakis, Justyna E. Wolak, Randall E. McClelland, Paul B. Watkins, and Jeffrey M. Macdonald. "Stable isotope resolved metabolomics of primary human hepatocytes reveals a stressed phenotype." Metabolomics 8, no. 1 (2011): 34–49. http://dx.doi.org/10.1007/s11306-011-0284-5.

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10

Frahm, Anne Birk, Pernille Rose Jensen, Jan Henrik Ardenkjær-Larsen, Demet Yigit, and Mathilde Hauge Lerche. "Stable isotope resolved metabolomics classification of prostate cancer cells using hyperpolarized NMR data." Journal of Magnetic Resonance 316 (July 2020): 106750. http://dx.doi.org/10.1016/j.jmr.2020.106750.

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11

Lane, Andrew N., Richard M. Higashi, and Teresa W.-M. Fan. "NMR and MS-based Stable Isotope-Resolved Metabolomics and applications in cancer metabolism." TrAC Trends in Analytical Chemistry 120 (November 2019): 115322. http://dx.doi.org/10.1016/j.trac.2018.11.020.

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12

Balcells, Cristina, Carles Foguet, Josep Tarragó-Celada, Pedro de Atauri, Silvia Marin, and Marta Cascante. "Tracing metabolic fluxes using mass spectrometry: Stable isotope-resolved metabolomics in health and disease." TrAC Trends in Analytical Chemistry 120 (November 2019): 115371. http://dx.doi.org/10.1016/j.trac.2018.12.025.

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13

Jin, Huan, and Hunter N. B. Moseley. "Robust Moiety Model Selection Using Mass Spectrometry Measured Isotopologues." Metabolites 10, no. 3 (2020): 118. http://dx.doi.org/10.3390/metabo10030118.

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Stable isotope resolved metabolomics (SIRM) experiments use stable isotope tracers to provide superior metabolomics datasets for metabolic flux analysis and metabolic modeling. Since assumptions of model correctness can seriously compromise interpretation of metabolic flux results, we have developed a metabolic modeling software package specifically designed for moiety model comparison and selection based on the metabolomics data provided. Here, we tested the effectiveness of model selection with two time-series mass spectrometry (MS) isotopologue datasets for uridine diphosphate N-acetyl-d-gl
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14

Lane, Andrew N., Julie Tan, Yali Wang, Jun Yan, Richard M. Higashi, and Teresa W. M. Fan. "Probing the metabolic phenotype of breast cancer cells by multiple tracer stable isotope resolved metabolomics." Metabolic Engineering 43 (September 2017): 125–36. http://dx.doi.org/10.1016/j.ymben.2017.01.010.

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15

Fan, Teresa W.-M., Jinlian Tan, Martin M. McKinney, and Andrew N. Lane. "Stable isotope resolved metabolomics analysis of ribonucleotide and RNA metabolism in human lung cancer cells." Metabolomics 8, no. 3 (2011): 517–27. http://dx.doi.org/10.1007/s11306-011-0337-9.

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16

Lane, Andrew N., Teresa W. M. Fan, Michael Bousamra, Richard M. Higashi, Jun Yan, and Donald M. Miller. "Stable Isotope-Resolved Metabolomics (SIRM) in Cancer Research with Clinical Application to NonSmall Cell Lung Cancer." OMICS: A Journal of Integrative Biology 15, no. 3 (2011): 173–82. http://dx.doi.org/10.1089/omi.2010.0088.

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17

Williams, Holden C., Margaret A. Piron, Grant K. Nation, et al. "Oral Gavage Delivery of Stable Isotope Tracer for In Vivo Metabolomics." Metabolites 10, no. 12 (2020): 501. http://dx.doi.org/10.3390/metabo10120501.

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Stable isotope-resolved metabolomics (SIRM) is a powerful tool for understanding disease. Advances in SIRM techniques have improved isotopic delivery and expanded the workflow from exclusively in vitro applications to in vivo methodologies to study systemic metabolism. Here, we report a simple, minimally-invasive and cost-effective method of tracer delivery to study SIRM in vivo in laboratory mice. Following a brief fasting period, we orally administered a solution of [U-13C] glucose through a blunt gavage needle without anesthesia, at a physiological dose commonly used for glucose tolerance t
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18

Sun, Qiushi, Teresa W.-M. Fan, Andrew N. Lane, and Richard M. Higashi. "Applications of chromatography-ultra high-resolution MS for stable isotope-resolved metabolomics (SIRM) reconstruction of metabolic networks." TrAC Trends in Analytical Chemistry 123 (February 2020): 115676. http://dx.doi.org/10.1016/j.trac.2019.115676.

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19

Fan, Teresa W. M., Richard M. Higashi, Yelena Chernayavskaya, and Andrew N. Lane. "Resolving Metabolic Heterogeneity in Experimental Models of the Tumor Microenvironment from a Stable Isotope Resolved Metabolomics Perspective." Metabolites 10, no. 6 (2020): 249. http://dx.doi.org/10.3390/metabo10060249.

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The tumor microenvironment (TME) comprises complex interactions of multiple cell types that determines cell behavior and metabolism such as nutrient competition and immune suppression. We discuss the various types of heterogeneity that exist in solid tumors, and the complications this invokes for studies of TME. As human subjects and in vivo model systems are complex and difficult to manipulate, simpler 3D model systems that are compatible with flexible experimental control are necessary for studying metabolic regulation in TME. Stable Isotope Resolved Metabolomics (SIRM) is a valuable tool fo
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20

Fan, Teresa WM, Andrew N. Lane, Richard M. Higashi, et al. "Altered regulation of metabolic pathways in human lung cancer discerned by 13C stable isotope-resolved metabolomics (SIRM)." Molecular Cancer 8, no. 1 (2009): 41. http://dx.doi.org/10.1186/1476-4598-8-41.

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21

Winnike, Jason H., Delisha A. Stewart, Wimal W. Pathmasiri, Susan L. McRitchie, and Susan J. Sumner. "Stable Isotope-Resolved Metabolomic Differences between Hormone-Responsive and Triple-Negative Breast Cancer Cell Lines." International Journal of Breast Cancer 2018 (September 30, 2018): 1–12. http://dx.doi.org/10.1155/2018/2063540.

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Purpose. To conduct an exploratory study to identify mechanisms that differentiate Luminal A (BT474 and MCF-7) and triple-negative (MDA-MB-231 and MDA-MB-468) breast cancer (BCa) cell lines to potentially provide novel therapeutic targets based on differences in energy utilization. Methods. Cells were cultured in media containing either [U-13C]-glucose or [U-13C]-glutamine for 48 hours. Conditioned media and cellular extracts were analyzed by 1H and 13C NMR spectroscopy. Results. MCF-7 cells consumed the most glucose, producing the most lactate, demonstrating the greatest Warburg effect-associ
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22

Fan, Teresa, Salim El-Amouri, Jessica Macedo, et al. "Stable Isotope-Resolved Metabolomics Shows Metabolic Resistance to Anti-Cancer Selenite in 3D Spheroids versus 2D Cell Cultures." Metabolites 8, no. 3 (2018): 40. http://dx.doi.org/10.3390/metabo8030040.

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23

Williams, Holden C., Jason A. Brandon, Ramon Sun, and Lance Johnson. "P4-118: CEREBRAL METABOLISM AND ALZHEIMER'S DISEASE RISK: INVESTIGATING THE ROLE OF APOE USING STABLE-ISOTOPE RESOLVED METABOLOMICS." Alzheimer's & Dementia 15 (July 2019): P1321. http://dx.doi.org/10.1016/j.jalz.2019.06.3779.

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24

Kang, Woo-Young, Patrick T. Thompson, Salim S. El-Amouri, Teresa W. M. Fan, Andrew N. Lane, and Richard M. Higashi. "Improved segmented-scan spectral stitching for stable isotope resolved metabolomics (SIRM) by ultra-high-resolution Fourier transform mass spectrometry." Analytica Chimica Acta 1080 (November 2019): 104–15. http://dx.doi.org/10.1016/j.aca.2019.06.019.

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25

Ling-hu, Ting, Shao-bo Liu, Yao Gao, Yu-mei Han, Jun-sheng Tian, and Xue-mei Qin. "Stable Isotope-Resolved Metabolomics Reveals the Abnormal Brain Glucose Catabolism in Depression Based on Chronic Unpredictable Mild Stress Rats." Journal of Proteome Research 20, no. 7 (2021): 3549–58. http://dx.doi.org/10.1021/acs.jproteome.1c00155.

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26

Yang, Ye, Teresa W.-M. Fan, Andrew N. Lane, and Richard M. Higashi. "Chloroformate derivatization for tracing the fate of Amino acids in cells and tissues by multiple stable isotope resolved metabolomics (mSIRM)." Analytica Chimica Acta 976 (July 2017): 63–73. http://dx.doi.org/10.1016/j.aca.2017.04.014.

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27

Linghu, Ting, Yao Gao, Aiping Li, Biyun Shi, Junsheng Tian, and Xuemei Qin. "A unique insight for energy metabolism disorders in depression based on chronic unpredictable mild stress rats using stable isotope-resolved metabolomics." Journal of Pharmaceutical and Biomedical Analysis 191 (November 2020): 113588. http://dx.doi.org/10.1016/j.jpba.2020.113588.

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28

Pietzke, Matthias, Christin Zasada, Susann Mudrich, and Stefan Kempa. "Decoding the dynamics of cellular metabolism and the action of 3-bromopyruvate and 2-deoxyglucose using pulsed stable isotope-resolved metabolomics." Cancer & Metabolism 2, no. 1 (2014): 9. http://dx.doi.org/10.1186/2049-3002-2-9.

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29

Maroli, Amith, Vijay Nandula, Stephen Duke, and Nishanth Tharayil. "Stable Isotope Resolved Metabolomics Reveals the Role of Anabolic and Catabolic Processes in Glyphosate-Induced Amino Acid Accumulation in Amaranthus palmeri Biotypes." Journal of Agricultural and Food Chemistry 64, no. 37 (2016): 7040–48. http://dx.doi.org/10.1021/acs.jafc.6b02196.

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30

Sun, Qiushi, Teresa W. M. Fan, Andrew N. Lane, and Richard M. Higashi. "An Ion Chromatography–Ultrahigh-Resolution-MS1/Data-Independent High-Resolution MS2 Method for Stable Isotope-Resolved Metabolomics Reconstruction of Central Metabolic Networks." Analytical Chemistry 93, no. 5 (2021): 2749–57. http://dx.doi.org/10.1021/acs.analchem.0c03070.

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31

Wang, Xiaoli, Colins O. Eno, Brian J. Altman, et al. "ER stress modulates cellular metabolism." Biochemical Journal 435, no. 1 (2011): 285–96. http://dx.doi.org/10.1042/bj20101864.

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Changes in metabolic processes play a critical role in the survival or death of cells subjected to various stresses. In the present study, we have investigated the effects of ER (endoplasmic reticulum) stress on cellular metabolism. A major difficulty in studying metabolic responses to ER stress is that ER stress normally leads to apoptosis and metabolic changes observed in dying cells may be misleading. Therefore we have used IL-3 (interleukin 3)-dependent Bak−/−Bax−/− haemopoietic cells which do not die in the presence of the ER-stress-inducing drug tunicamycin. Tunicamycin-treated Bak−/−Bax
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32

Yang, JoonSeon, Teresa W. M. Fan, Jason A. Brandon, Andrew N. Lane, and Richard M. Higashi. "Rapid analysis of S-adenosylmethionine (SAM) and S-adenosylhomocysteine (SAH) isotopologues in stable isotope-resolved metabolomics (SIRM) using direct infusion nanoelectrospray ultra-high-resolution Fourier transform mass spectrometry (DI-nESI-UHR-FTMS)." Analytica Chimica Acta 1181 (October 2021): 338873. http://dx.doi.org/10.1016/j.aca.2021.338873.

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33

McKinney, Christopher, Michael Ellison, Natalie J. Briones, et al. "Metabolic abnormalities in G6PC3-deficient human neutrophils result in severe functional defects." Blood Advances 4, no. 23 (2020): 5888–901. http://dx.doi.org/10.1182/bloodadvances.2020002225.

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Abstract Severe congenital neutropenia type 4 (SCN-4) is an autosomal recessive condition in which mutations in the G6PC3 gene encoding for the catalytic 3 subunit of glucose-6-phosphatase-β result in neutropenia, neutrophil dysfunction, and other syndromic features. We report a child with SCN-4 caused by compound heterozygous mutations in G6PC3, a previously identified missense mutation in exon 6 (c.758G>A[p.R235H]), and a novel missense mutation in exon 2 (c.325G>A[p.G109S]). The patient had recurrent bacterial infections, inflammatory bowel disease, neutropenia, and intermitte
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34

Fan, T. W. M. "Stable isotope-resolved metabolomic (SIRM) approach: From bench to bedside." AACR Education book 2014, no. 1 (2014): 7–14. http://dx.doi.org/10.1158/aacr.edb-14-7944.

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35

Geisberger, Sabrina, Hendrik Bartolomaeus, Patrick Neubert, et al. "Salt Transiently Inhibits Mitochondrial Energetics in Mononuclear Phagocytes." Circulation 144, no. 2 (2021): 144–58. http://dx.doi.org/10.1161/circulationaha.120.052788.

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Background: Dietary high salt (HS) is a leading risk factor for mortality and morbidity. Serum sodium transiently increases postprandially but can also accumulate at sites of inflammation affecting differentiation and function of innate and adaptive immune cells. Here, we focus on how changes in extracellular sodium, mimicking alterations in the circulation and tissues, affect the early metabolic, transcriptional, and functional adaption of human and murine mononuclear phagocytes. Methods: Using Seahorse technology, pulsed stable isotope-resolved metabolomics, and enzyme activity assays, we ch
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36

Garg, Tarun K., Ricky D. Edmondson, Shweta S. Chavan, et al. "Multiple Myeloma Cells Modulate ICAM-3 To Evade Natural Killer Cell-Mediated Lysis." Blood 122, no. 21 (2013): 3105. http://dx.doi.org/10.1182/blood.v122.21.3105.3105.

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Abstract Introduction Ex vivo activated/expanded natural killer (ENK) cells can induce myeloma cell lysis both in vitro and in murine models and are currently being studied clinically in the setting of high-risk relapsing disease and asymptomatic disease at high risk of progression. This prompted us to study, in myeloma cell lines, whether intrinsic resistance to ENK cell lysis exists, whether repeated challenge with ENK leads to increased resistance, and what the underlying mechanisms of resistance are. Of 11 myeloma cell lines tested in standard 4h chromium release assays, 8 were avidly kill
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37

Fan, Teresa W. M., Peixiong Yuan, Andrew N. Lane, et al. "Stable isotope-resolved metabolomic analysis of lithium effects on glial-neuronal metabolism and interactions." Metabolomics 6, no. 2 (2010): 165–79. http://dx.doi.org/10.1007/s11306-010-0208-9.

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38

Hevia, David, Pedro Gonzalez-Menendez, Mario Fernandez-Fernandez, et al. "Melatonin Decreases Glucose Metabolism in Prostate Cancer Cells: A 13C Stable Isotope-Resolved Metabolomic Study." International Journal of Molecular Sciences 18, no. 8 (2017): 1620. http://dx.doi.org/10.3390/ijms18081620.

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39

Cai, Tianyu, Philip L. Lorenzi, Dinesh Rakheja, et al. "Gls Inhibitor CB-839 Modulates Cellular Metabolism in AML and Potently Suppresses AML Cell Growth When Combined with 5-Azacitidine." Blood 128, no. 22 (2016): 4064. http://dx.doi.org/10.1182/blood.v128.22.4064.4064.

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Abstract Glutamine (Gln) is required for growth and proliferation of several tumor types including AML. Glutaminase (GLS) is a mitochondrial enzyme that catalyzes conversion of Gln to glutamate (Glu), which provides carbons for the TCA cycle and regulates redox homeostasis through production of glutathione and NADH. CB-839 is a highly selective, reversible, allosteric inhibitor of GLS. In this study we studied metabolic and cellular consequences of GLS inhibition in AML cells cultured in normoxic or hypoxic conditions. First, we performed metabolomic analysis of HL-60 cells co-cultured with bo
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40

Baran, Natalia, Alessia Lodi, Shannon Renee Sweeney, et al. "Mitochondrial Complex I Inhibitor Iacs-010759 Reverses the NOTCH1-Driven Metabolic Reprogramming in T-ALL Via Blockade of Oxidative Phosphorylation: Synergy with Chemotherapy and Glutaminase Inhibition." Blood 132, Supplement 1 (2018): 4020. http://dx.doi.org/10.1182/blood-2018-99-117310.

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Abstract Adult T-cell acute lymphoblastic leukemia (T-ALL) is an aggressive hematologic malignancy characterized by limited therapeutic options and a high rate of treatment failure due to chemoresistance. T-ALL is largely driven by activating NOTCH1 mutations, where oncogenic NOTCH1 facilitates glutamine oxidation, induces metabolic stress, and facilitates reliance on oxidative phosphorylation (OXPHOS)1. In other malignancies, the shift toward OXPHOS-dependent high-energy status is associated with acquired chemoresistance. In this study, we found that the novel inhibitor of mitochondrial compl
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41

Yokota, Asumi, Lulu Zhang, Jianhua Feng, Xiaomin Feng, Xiaomei Yan, and Gang Huang. "Myelodysplastic Syndromes-Associated Gene Mutations Lead to Pseudohypoxia Condition and Epigenome Hyper-Methylation in Mouse Genetic Models." Blood 134, Supplement_1 (2019): 1696. http://dx.doi.org/10.1182/blood-2019-126799.

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Myelodysplastic syndromes (MDS) are heterogeneous diseases caused by a complex combination of various gene mutations. Patients develop anemia, pancytopenia, and uni-/multi-lineage dysplasia, which represent ineffective hematopoiesis and also potential for leukemic transformation. Recent advances in next generation sequencing identified a variety of gene mutations involved in transcriptional and epigenetic regulation, RNA splicing, or metabolic enzymes. However, the underlying mechanism of those commonly shared MDS phenotypes caused by these heterogenous genetic mutations has not been fully elu
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42

Fan, Teresa, Andrew Lane, and Richard Higashi. "Stable Isotope Resolved Metabolomics Studies in ex vivo TIssue Slices." BIO-PROTOCOL 6, no. 3 (2016). http://dx.doi.org/10.21769/bioprotoc.1730.

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43

"Stable Isotope-resolved Metabolomics to Assess Cardiac Metabolism in Vivo." Free Radical Biology and Medicine 145 (December 2019): S85—S86. http://dx.doi.org/10.1016/j.freeradbiomed.2019.10.228.

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44

Lane, Andrew N., Richard M. Higashi, and Teresa W. M. Fan. "Preclinical models for interrogating drug action in human cancers using Stable Isotope Resolved Metabolomics (SIRM)." Metabolomics 12, no. 7 (2016). http://dx.doi.org/10.1007/s11306-016-1065-y.

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45

Hoang, Giang, Cissy Zhang, Nabeel Attarwala, Jin G. Jung, Arthur J. L. Cooper, and Anne Le. "Uncovering Metabolic Reservoir Cycles in MYC-Transformed Lymphoma B cells Using Stable Isotope Resolved Metabolomics." Analytical Biochemistry, April 2021, 114206. http://dx.doi.org/10.1016/j.ab.2021.114206.

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46

Lorkiewicz, Pawel K., Andrew A. Gibb, Benjamin R. Rood, et al. "Integration of flux measurements and pharmacological controls to optimize stable isotope-resolved metabolomics workflows and interpretation." Scientific Reports 9, no. 1 (2019). http://dx.doi.org/10.1038/s41598-019-50183-3.

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Abstract Stable isotope-resolved metabolomics (SIRM) provides information regarding the relative activity of numerous metabolic pathways and the contribution of nutrients to specific metabolite pools; however, SIRM experiments can be difficult to execute, and data interpretation is challenging. Furthermore, standardization of analytical procedures and workflows remain significant obstacles for widespread reproducibility. Here, we demonstrate the workflow of a typical SIRM experiment and suggest experimental controls and measures of cross-validation that improve data interpretation. Inhibitors
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47

Kempa, Stefan. "Using stable isotope resolved metabolomics to characterize glycolytic inhibition and to decode synthetic lethality in cancer." Journal of Postgenomics Drug & Biomarker Development 04, no. 03 (2015). http://dx.doi.org/10.4172/2153-0769.s1.028.

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48

Moseley, Hunter NB. "Correcting for the effects of natural abundance in stable isotope resolved metabolomics experiments involving ultra-high resolution mass spectrometry." BMC Bioinformatics 11, no. 1 (2010). http://dx.doi.org/10.1186/1471-2105-11-139.

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49

Reyes-Caballero, Hermes, Xiaoquan Rao, Qiushi Sun, et al. "Air pollution-derived particulate matter dysregulates hepatic Krebs cycle, glucose and lipid metabolism in mice." Scientific Reports 9, no. 1 (2019). http://dx.doi.org/10.1038/s41598-019-53716-y.

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AbstractExposure to ambient air particulate matter (PM2.5) is well established as a risk factor for cardiovascular and pulmonary disease. Both epidemiologic and controlled exposure studies in humans and animals have demonstrated an association between air pollution exposure and metabolic disorders such as diabetes. Given the central role of the liver in peripheral glucose homeostasis, we exposed mice to filtered air or PM2.5 for 16 weeks and examined its effect on hepatic metabolic pathways using stable isotope resolved metabolomics (SIRM) following a bolus of 13C6-glucose. Livers were analyze
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50

Malinowski, Ronja M., Seyed M. Ghiasi, Thomas Mandrup-Poulsen та ін. "Pancreatic β-cells respond to fuel pressure with an early metabolic switch". Scientific Reports 10, № 1 (2020). http://dx.doi.org/10.1038/s41598-020-72348-1.

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Abstract Pancreatic β-cells become irreversibly damaged by long-term exposure to excessive glucose concentrations and lose their ability to carry out glucose stimulated insulin secretion (GSIS) upon damage. The β-cells are not able to control glucose uptake and they are therefore left vulnerable for endogenous toxicity from metabolites produced in excess amounts upon increased glucose availability. In order to handle excess fuel, the β-cells possess specific metabolic pathways, but little is known about these pathways. We present a study of β-cell metabolism under increased fuel pressure using
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