Ruppin E - Search Results

1

A joint analysis of transcriptomic and metabolomic data uncovers enhanced enzyme-metabolite coupling in breast cancer.

Auslander N, Yizhak K, Weinstock A, Budhu A, Tang W, Wang XW, Ambs S, Ruppin E. Auslander N, et al. Among authors: ruppin e. Sci Rep. 2016 Jul 13;6:29662. doi: 10.1038/srep29662. Sci Rep. 2016. PMID: 27406679 Free PMC article.

2

A supervised approach for identifying discriminating genotype patterns and its application to breast cancer data.

Yosef N, Yakhini Z, Tsalenko A, Kristensen V, Børresen-Dale AL, Ruppin E, Sharan R. Yosef N, et al. Among authors: ruppin e. Bioinformatics. 2007 Jan 15;23(2):e91-8. doi: 10.1093/bioinformatics/btl298. Bioinformatics. 2007. PMID: 17237111

3

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

Yizhak K, Benyamini T, Liebermeister W, Ruppin E, Shlomi T. Yizhak K, et al. Among authors: ruppin e. Bioinformatics. 2010 Jun 15;26(12):i255-60. doi: 10.1093/bioinformatics/btq183. Bioinformatics. 2010. PMID: 20529914 Free PMC article.

4

Metabolic modeling of endosymbiont genome reduction on a temporal scale.

Yizhak K, Tuller T, Papp B, Ruppin E. Yizhak K, et al. Among authors: ruppin e. Mol Syst Biol. 2011 Mar 29;7:479. doi: 10.1038/msb.2011.11. Mol Syst Biol. 2011. PMID: 21451589 Free PMC article.

5

Metabolic associations of reduced proliferation and oxidative stress in advanced breast cancer.

Jerby L, Wolf L, Denkert C, Stein GY, Hilvo M, Oresic M, Geiger T, Ruppin E. Jerby L, et al. Among authors: ruppin e. Cancer Res. 2012 Nov 15;72(22):5712-20. doi: 10.1158/0008-5472.CAN-12-2215. Epub 2012 Sep 17. Cancer Res. 2012. PMID: 22986741

6

Metabolically re-modeling the drug pipeline.

Oberhardt MA, Yizhak K, Ruppin E. Oberhardt MA, et al. Among authors: ruppin e. Curr Opin Pharmacol. 2013 Oct;13(5):778-85. doi: 10.1016/j.coph.2013.05.006. Epub 2013 May 31. Curr Opin Pharmacol. 2013. PMID: 23731523 Review.

7

A genome-wide systematic analysis reveals different and predictive proliferation expression signatures of cancerous vs. non-cancerous cells.

Waldman YY, Geiger T, Ruppin E. Waldman YY, et al. Among authors: ruppin e. PLoS Genet. 2013;9(9):e1003806. doi: 10.1371/journal.pgen.1003806. Epub 2013 Sep 19. PLoS Genet. 2013. PMID: 24068970 Free PMC article.

8

Model-based identification of drug targets that revert disrupted metabolism and its application to ageing.

Yizhak K, Gabay O, Cohen H, Ruppin E. Yizhak K, et al. Among authors: ruppin e. Nat Commun. 2013;4:2632. doi: 10.1038/ncomms3632. Nat Commun. 2013. PMID: 24153335 Free article.

9

p53 promotes the expression of gluconeogenesis-related genes and enhances hepatic glucose production.

Goldstein I, Yizhak K, Madar S, Goldfinger N, Ruppin E, Rotter V. Goldstein I, et al. Among authors: ruppin e. Cancer Metab. 2013 Feb 4;1(1):9. doi: 10.1186/2049-3002-1-9. Cancer Metab. 2013. PMID: 24280180 Free PMC article.

10

Maximal sum of metabolic exchange fluxes outperforms biomass yield as a predictor of growth rate of microorganisms.

Zarecki R, Oberhardt MA, Yizhak K, Wagner A, Shtifman Segal E, Freilich S, Henry CS, Gophna U, Ruppin E. Zarecki R, et al. Among authors: ruppin e. PLoS One. 2014 May 27;9(5):e98372. doi: 10.1371/journal.pone.0098372. eCollection 2014. PLoS One. 2014. PMID: 24866123 Free PMC article.

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