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Items: 21

1.

Developmental and oncogenic programs in H3K27M gliomas dissected by single-cell RNA-seq.

Filbin MG, Tirosh I, Hovestadt V, Shaw ML, Escalante LE, Mathewson ND, Neftel C, Frank N, Pelton K, Hebert CM, Haberler C, Yizhak K, Gojo J, Egervari K, Mount C, van Galen P, Bonal DM, Nguyen QD, Beck A, Sinai C, Czech T, Dorfer C, Goumnerova L, Lavarino C, Carcaboso AM, Mora J, Mylvaganam R, Luo CC, Peyrl A, Popović M, Azizi A, Batchelor TT, Frosch MP, Martinez-Lage M, Kieran MW, Bandopadhayay P, Beroukhim R, Fritsch G, Getz G, Rozenblatt-Rosen O, Wucherpfennig KW, Louis DN, Monje M, Slavc I, Ligon KL, Golub TR, Regev A, Bernstein BE, Suvà ML.

Science. 2018 Apr 20;360(6386):331-335. doi: 10.1126/science.aao4750.

PMID:
29674595
2.

Single-Cell Transcriptomic Analysis of Primary and Metastatic Tumor Ecosystems in Head and Neck Cancer.

Puram SV, Tirosh I, Parikh AS, Patel AP, Yizhak K, Gillespie S, Rodman C, Luo CL, Mroz EA, Emerick KS, Deschler DG, Varvares MA, Mylvaganam R, Rozenblatt-Rosen O, Rocco JW, Faquin WC, Lin DT, Regev A, Bernstein BE.

Cell. 2017 Dec 14;171(7):1611-1624.e24. doi: 10.1016/j.cell.2017.10.044. Epub 2017 Nov 30.

PMID:
29198524
3.

An integrated computational and experimental study uncovers FUT9 as a metabolic driver of colorectal cancer.

Auslander N, Cunningham CE, Toosi BM, McEwen EJ, Yizhak K, Vizeacoumar FS, Parameswaran S, Gonen N, Freywald T, Bhanumathy KK, Freywald A, Vizeacoumar FJ, Ruppin E.

Mol Syst Biol. 2017 Dec 1;13(12):956. doi: 10.15252/msb.20177739.

4.

Resistance to checkpoint blockade therapy through inactivation of antigen presentation.

Sade-Feldman M, Jiao YJ, Chen JH, Rooney MS, Barzily-Rokni M, Eliane JP, Bjorgaard SL, Hammond MR, Vitzthum H, Blackmon SM, Frederick DT, Hazar-Rethinam M, Nadres BA, Van Seventer EE, Shukla SA, Yizhak K, Ray JP, Rosebrock D, Livitz D, Adalsteinsson V, Getz G, Duncan LM, Li B, Corcoran RB, Lawrence DP, Stemmer-Rachamimov A, Boland GM, Landau DA, Flaherty KT, Sullivan RJ, Hacohen N.

Nat Commun. 2017 Oct 26;8(1):1136. doi: 10.1038/s41467-017-01062-w.

5.

Chronic Lymphocytic Leukemia: A Rare Cause of Pathological Fracture of the Femur.

Soni P, Aggarwal N, Rai A, Kumar V, Stephan K, Taek Y, Yizhak K.

J Investig Med High Impact Case Rep. 2017 Oct 3;5(4):2324709617735135. doi: 10.1177/2324709617735135. eCollection 2017 Oct-Dec.

6.

Infliximab Therapy Leading to Pulmonary Tuberculosis in a Patient With Negative Interferon γ Release Assay (IGRA)-Based QuantiFERON Gold Test.

Parita S, Vivek K, Stephan K, William P, Yizhak K.

J Investig Med High Impact Case Rep. 2017 Jul 6;5(3):2324709617717540. doi: 10.1177/2324709617717540. eCollection 2017 Jul-Sep.

7.

Decoupling genetics, lineages, and microenvironment in IDH-mutant gliomas by single-cell RNA-seq.

Venteicher AS, Tirosh I, Hebert C, Yizhak K, Neftel C, Filbin MG, Hovestadt V, Escalante LE, Shaw ML, Rodman C, Gillespie SM, Dionne D, Luo CC, Ravichandran H, Mylvaganam R, Mount C, Onozato ML, Nahed BV, Wakimoto H, Curry WT, Iafrate AJ, Rivera MN, Frosch MP, Golub TR, Brastianos PK, Getz G, Patel AP, Monje M, Cahill DP, Rozenblatt-Rosen O, Louis DN, Bernstein BE, Regev A, Suvà ML.

Science. 2017 Mar 31;355(6332). pii: eaai8478. doi: 10.1126/science.aai8478.

8.

Essential Genes Embody Increased Mutational Robustness to Compensate for the Lack of Backup Genetic Redundancy.

Cohen O, Oberhardt M, Yizhak K, Ruppin E.

PLoS One. 2016 Dec 20;11(12):e0168444. doi: 10.1371/journal.pone.0168444. eCollection 2016.

9.

Single-cell RNA-seq supports a developmental hierarchy in human oligodendroglioma.

Tirosh I, Venteicher AS, Hebert C, Escalante LE, Patel AP, Yizhak K, Fisher JM, Rodman C, Mount C, Filbin MG, Neftel C, Desai N, Nyman J, Izar B, Luo CC, Francis JM, Patel AA, Onozato ML, Riggi N, Livak KJ, Gennert D, Satija R, Nahed BV, Curry WT, Martuza RL, Mylvaganam R, Iafrate AJ, Frosch MP, Golub TR, Rivera MN, Getz G, Rozenblatt-Rosen O, Cahill DP, Monje M, Bernstein BE, Louis DN, Regev A, Suvà ML.

Nature. 2016 Nov 10;539(7628):309-313. doi: 10.1038/nature20123. Epub 2016 Nov 2.

10.

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.

Sci Rep. 2016 Jul 13;6:29662. doi: 10.1038/srep29662.

11.

Diversion of aspartate in ASS1-deficient tumours fosters de novo pyrimidine synthesis.

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.

Nature. 2015 Nov 19;527(7578):379-383. doi: 10.1038/nature15529. Epub 2015 Nov 11.

12.

Modeling cancer metabolism on a genome scale.

Yizhak K, Chaneton B, Gottlieb E, Ruppin E.

Mol Syst Biol. 2015 Jun 30;11(6):817. doi: 10.15252/msb.20145307. Review.

13.

Phenotype-based cell-specific metabolic modeling reveals metabolic liabilities of cancer.

Yizhak K, Gaude E, Le Dévédec S, Waldman YY, Stein GY, van de Water B, Frezza C, Ruppin E.

Elife. 2014 Nov 21;3. doi: 10.7554/eLife.03641.

14.

Integrating transcriptomics with metabolic modeling predicts biomarkers and drug targets for Alzheimer's disease.

Stempler S, Yizhak K, Ruppin E.

PLoS One. 2014 Aug 15;9(8):e105383. doi: 10.1371/journal.pone.0105383. eCollection 2014.

15.

A computational study of the Warburg effect identifies metabolic targets inhibiting cancer migration.

Yizhak K, Le Dévédec SE, Rogkoti VM, Baenke F, de Boer VC, Frezza C, Schulze A, van de Water B, Ruppin E.

Mol Syst Biol. 2014 Aug 1;10:744. doi: 10.15252/msb.20134993. Erratum in: Mol Syst Biol. 2014 Nov;10(11):765.

16.

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.

PLoS One. 2014 May 27;9(5):e98372. doi: 10.1371/journal.pone.0098372. eCollection 2014.

17.

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.

Cancer Metab. 2013 Feb 4;1(1):9. doi: 10.1186/2049-3002-1-9.

18.

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

Yizhak K, Gabay O, Cohen H, Ruppin E.

Nat Commun. 2013;4:2632. doi: 10.1038/ncomms3632.

PMID:
24153335
19.

Metabolically re-modeling the drug pipeline.

Oberhardt MA, Yizhak K, Ruppin E.

Curr Opin Pharmacol. 2013 Oct;13(5):778-85. doi: 10.1016/j.coph.2013.05.006. Epub 2013 May 31. Review.

PMID:
23731523
20.

Metabolic modeling of endosymbiont genome reduction on a temporal scale.

Yizhak K, Tuller T, Papp B, Ruppin E.

Mol Syst Biol. 2011 Mar 29;7:479. doi: 10.1038/msb.2011.11.

21.

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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