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Results: 1 to 20 of 44


Quantitative flux analysis reveals folate-dependent NADPH production.

Fan J, Ye J, Kamphorst JJ, Shlomi T, Thompson CB, Rabinowitz JD.

Nature. 2014 Jun 12;510(7504):298-302. doi: 10.1038/nature13236. Epub 2014 May 4. Erratum in: Nature. 2014 Sep 25;513(7519):574.


High throughput synthetic lethality screen reveals a tumorigenic role of adenylate cyclase in fumarate hydratase-deficient cancer cells.

Boettcher M, Lawson A, Ladenburger V, Fredebohm J, Wolf J, Hoheisel JD, Frezza C, Shlomi T.

BMC Genomics. 2014 Feb 25;15:158. doi: 10.1186/1471-2164-15-158.


Quantitation of cellular metabolic fluxes of methionine.

Shlomi T, Fan J, Tang B, Kruger WD, Rabinowitz JD.

Anal Chem. 2014 Feb 4;86(3):1583-91. doi: 10.1021/ac4032093. Epub 2014 Jan 16.


Glutamine-driven oxidative phosphorylation is a major ATP source in transformed mammalian cells in both normoxia and hypoxia.

Fan J, Kamphorst JJ, Mathew R, Chung MK, White E, Shlomi T, Rabinowitz JD.

Mol Syst Biol. 2013 Dec 3;9:712. doi: 10.1038/msb.2013.65.


An integrated computational approach for metabolic flux analysis coupled with inference of tandem-MS collisional fragments.

Tepper N, Shlomi T.

Bioinformatics. 2013 Dec 1;29(23):3045-52. doi: 10.1093/bioinformatics/btt516. Epub 2013 Oct 10.


Steady-state metabolite concentrations reflect a balance between maximizing enzyme efficiency and minimizing total metabolite load.

Tepper N, Noor E, Amador-Noguez D, Haraldsdóttir HS, Milo R, Rabinowitz J, Liebermeister W, Shlomi T.

PLoS One. 2013 Sep 26;8(9):e75370. doi: 10.1371/journal.pone.0075370. eCollection 2013.


Fatty acid labeling from glutamine in hypoxia can be explained by isotope exchange without net reductive isocitrate dehydrogenase (IDH) flux.

Fan J, Kamphorst JJ, Rabinowitz JD, Shlomi T.

J Biol Chem. 2013 Oct 25;288(43):31363-9. doi: 10.1074/jbc.M113.502740. Epub 2013 Sep 12.


A key role for mitochondrial gatekeeper pyruvate dehydrogenase in oncogene-induced senescence.

Kaplon J, Zheng L, Meissl K, Chaneton B, Selivanov VA, Mackay G, van der Burg SH, Verdegaal EM, Cascante M, Shlomi T, Gottlieb E, Peeper DS.

Nature. 2013 Jun 6;498(7452):109-12. doi: 10.1038/nature12154. Epub 2013 May 19.


Metabolism: Cancer mistunes methylation.

Shlomi T, Rabinowitz JD.

Nat Chem Biol. 2013 May;9(5):293-4. doi: 10.1038/nchembio.1234. No abstract available.


Prediction of microbial growth rate versus biomass yield by a metabolic network with kinetic parameters.

Adadi R, Volkmer B, Milo R, Heinemann M, Shlomi T.

PLoS Comput Biol. 2012;8(7):e1002575. doi: 10.1371/journal.pcbi.1002575. Epub 2012 Jul 5.


Reconstruction of Arabidopsis metabolic network models accounting for subcellular compartmentalization and tissue-specificity.

Mintz-Oron S, Meir S, Malitsky S, Ruppin E, Aharoni A, Shlomi T.

Proc Natl Acad Sci U S A. 2012 Jan 3;109(1):339-44. doi: 10.1073/pnas.1100358109. Epub 2011 Dec 19.


Haem oxygenase is synthetically lethal with the tumour suppressor fumarate hydratase.

Frezza C, Zheng L, Folger O, Rajagopalan KN, MacKenzie ED, Jerby L, Micaroni M, Chaneton B, Adam J, Hedley A, Kalna G, Tomlinson IP, Pollard PJ, Watson DG, Deberardinis RJ, Shlomi T, Ruppin E, Gottlieb E.

Nature. 2011 Aug 17;477(7363):225-8. doi: 10.1038/nature10363.


Predicting selective drug targets in cancer through metabolic networks.

Folger O, Jerby L, Frezza C, Gottlieb E, Ruppin E, Shlomi T.

Mol Syst Biol. 2011 Jun 21;7:501. doi: 10.1038/msb.2011.35. Erratum in: Mol Syst Biol. 2011;7. doi:10.1038/msb.2011.51.


Genome-scale metabolic modeling elucidates the role of proliferative adaptation in causing the Warburg effect.

Shlomi T, Benyamini T, Gottlieb E, Sharan R, Ruppin E.

PLoS Comput Biol. 2011 Mar;7(3):e1002018. doi: 10.1371/journal.pcbi.1002018. Epub 2011 Mar 10.


Pathway-based functional analysis of metagenomes.

Sharon I, Bercovici S, Pinter RY, Shlomi T.

J Comput Biol. 2011 Mar;18(3):495-505. doi: 10.1089/cmb.2010.0260.


Computational design of auxotrophy-dependent microbial biosensors for combinatorial metabolic engineering experiments.

Tepper N, Shlomi T.

PLoS One. 2011 Jan 21;6(1):e16274. doi: 10.1371/journal.pone.0016274.


iMAT: an integrative metabolic analysis tool.

Zur H, Ruppin E, Shlomi T.

Bioinformatics. 2010 Dec 15;26(24):3140-2. doi: 10.1093/bioinformatics/btq602. Epub 2010 Nov 15.


Computational reconstruction of tissue-specific metabolic models: application to human liver metabolism.

Jerby L, Shlomi T, Ruppin E.

Mol Syst Biol. 2010 Sep 7;6:401. doi: 10.1038/msb.2010.56.


Integrating quantitative proteomics and metabolomics with a genome-scale metabolic network model.

Yizhak K, Benyamini T, Liebermeister W, Ruppin E, Shlomi T.

Bioinformatics. 2010 Jun 15;26(12):i255-60. doi: 10.1093/bioinformatics/btq183.

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