Selective Bibliography of Dr. Eytan Ruppin
Cancer Data Science Laboratory, NCI

“Genome Wide Identification of Synthetic Lethal and Rescue Interactions to Target Cancer”
Wednesday, March 14, 2018

1.  Shaked I, Oberhardt Matthew A, Atias N, Sharan R, Ruppin E
Metabolic Network Prediction of Drug Side Effects
Cell Systems 2 (3):209-213 Mar 23 2016

2.  Hyotylainen T, Jerby L, Petaja EM, Mattila I, Jantti S, Auvinen P, Gastaldelli A, Yki-Jarvinen H, Ruppin E, Oresic M
Genome-scale study reveals reduced metabolic adaptability in patients with non-alcoholic fatty liver disease
Nature Communications 7:8994 Feb 3 2016

3.  Rabinovich S, Adler L, Yizhak K, Sarver A, Silberman A, Agron S, Stettner N, Sun Q, Brandis A, Helbling D, Korman S, Itzkovitz S, Dimmock D, Ulitsky I, Nagamani SC, Ruppin E, Erez A
Diversion of aspartate in ASS1-deficient tumours fosters de novo pyrimidine synthesis
Nature 527 (7578):379-383 Nov 19 2015

4.  Oberhardt MA, Zarecki R, Gronow S, Lang E, Klenk HP, Gophna U, Ruppin E
Harnessing the landscape of microbial culture media to predict new organism-media pairings
Nature Communications 6:8493 Oct 13 2015

5.  Megchelenbrink W, Katzir R, Lu X, Ruppin E, Notebaart RA
Synthetic dosage lethality in the human metabolic network is highly predictive of tumor growth and cancer patient survival
Proceedings of the National Academy of Sciences of the United States of America 112 (39):12217-22 Sep 29 2015

6.  Yizhak K, Chaneton B, Gottlieb E, Ruppin E
Modeling cancer metabolism on a genome scale
Molecular Systems Biology 11 (6):817 Jun 30 2015

7.  Yizhak K, Gaude E, Le Devedec S, Waldman YY, Stein GY, van de Water B, Frezza C, Ruppin E
Phenotype-based cell-specific metabolic modeling reveals metabolic liabilities of cancer
eLife 3:e03641 Nov 21 2014

8.  Jerby-Arnon L, Pfetzer N, Waldman YY, McGarry L, James D, Shanks E, Seashore-Ludlow B, Weinstock A, Geiger T, Clemons PA, Gottlieb E, Ruppin E
Predicting cancer-specific vulnerability via data-driven detection of synthetic lethality
Cell 158 (5):1199-1209 Aug 28 2014

9.  Yizhak K, Le Devedec SE, Rogkoti VM, Baenke F, de Boer VC, Frezza C, Schulze A, van de Water B, Ruppin E
A computational study of the Warburg effect identifies metabolic targets inhibiting cancer migration
Molecular Systems Biology 10:744 Aug 1 2014

10.  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
Haem oxygenase is synthetically lethal with the tumour suppressor fumarate hydratase
Nature 477 (7363):225-8 Aug 17 2011

11.  Folger O, Jerby L, Frezza C, Gottlieb E, Ruppin E, Shlomi T
Predicting selective drug targets in cancer through metabolic networks
Molecular Systems Biology 7:501 Jun 21 2011

12.  Shlomi T, Cabili MN, Herrgard MJ, Palsson BO, Ruppin E
Network-based prediction of human tissue-specific metabolism
Nature Biotechnology 26 (9):1003-10 Sep 2008

13.  Deutscher D, Meilijson I, Kupiec M, Ruppin E
Multiple knockout analysis of genetic robustness in the yeast metabolic network
Nature Genetics 38 (9):993-8 Sep 2006

14.  Ruppin E
Evolutionary autonomous agents: a neuroscience perspective
Nature Reviews: Neuroscience 3 (2):132-41 Feb 2002

created 02/21/18