Ed Reznik, PhD

Assistant Attending

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Ed Reznik, Assistant Attending

Office Phone

646-888-3906

Ed Reznik is an Assistant Attending Computational Oncologist in the Department of Epidemiology and Biostatistics, and is affiliated with the Marie-Josée and Henry R. Kravis Center for Molecular Oncology and the Urology Service. His research applies computational and informatic approaches to address basic and translational questions in mitochondrial genetics and metabolic dysregulation in cancer. The long-term goal of his research program is understanding how metabolic phenomena support the initiation, progression, and therapeutic susceptibility of tumors. Originally trained as an engineer, he has applied tools from optimization theory to develop predictive, genome-scale models of bacterial and eukaryotic metabolism from high-throughput metabolic data. Using data from The Cancer Genome Atlas Consortium, Dr. Reznik produced the first large-scale assessment of mitochondrial DNA copy number variation across solid tumor types. In parallel, he has developed integrative informatic approaches to study solid tumor metabolism through analysis of metabolomic and transcriptomic data, including the publication of the first atlas of metabolomic changes across tumor types. He is also an active member of the Kidney Cancer Working Group and contributes to the analysis of genomic, metabolomic, and immunological data related to kidney cancer biology and management.

Publications

Selected peer-reviewed publications:

  1. Xu J, Reznik E, et al. Abnormal oxidative metabolism in a quiet genomic background underlies clear cell papillary renal cell carcinoma. Elife. 2019 Apr 1;8. pii: e38986. doi: 10.7554/eLife.38986. PubMed PMID: 30924768; PubMed Central PMCID: PMC6459676.

  2. Reznik E, et al. A Landscape of Metabolic Variation across Tumor Types. Cell Syst. 2018 Mar 28;6(3):301-313.e3. doi: 10.1016/j.cels.2017.12.014. Epub 2018 Jan 27. PubMed PMID: 29396322; PubMed Central PMCID: PMC5876114.

  3. Reznik E, et al. Genome-Scale Architecture of Small Molecule Regulatory Networks and the Fundamental Trade-Off between Regulation and Enzymatic Activity. Cell Rep. 2017 Sep 12;20(11):2666-2677. doi: 10.1016/j.celrep.2017.08.066. PubMed PMID: 28903046; PubMed Central PMCID: PMC5600504.    

  4. Reznik E, et al. Mitochondrial respiratory gene expression is suppressed in many cancers. Elife. 2017 Jan 18;6. pii: e21592. doi: 10.7554/eLife.21592. PubMed PMID: 28099114; PubMed Central PMCID: PMC5243113.

  5. Reznik E, et al. Mitochondrial DNA copy number variation across human cancers. Elife. 2016 Feb 22;5. pii: e10769. doi: 10.7554/eLife.10769. PubMed PMID: 26901439; PubMed Central PMCID: PMC4775221.

  6. Hakimi AA, Reznik E, et al. An Integrated Metabolic Atlas of Clear Cell Renal Cell Carcinoma. Cancer Cell. 2016 Jan 11;29(1):104-116. doi: 10.1016/j.ccell.2015.12.004. PubMed PMID: 26766592; PubMed Central PMCID: PMC4809063.

  7. Reznik E, et al. Flux imbalance analysis and the sensitivity of cellular growth to changes in metabolite pools. PLoS Comput Biol. 2013;9(8):e1003195. doi: 10.1371/journal.pcbi.1003195. Epub 2013 Aug 29. PubMed PMID: 24009492; PubMed Central PMCID: PMC3757068.

  8. Reznik E, et al. The average enzyme principle. FEBS Lett. 2013 Sep 2;587(17):2891-4. doi: 10.1016/j.febslet.2013.07.032. Epub 2013 Jul 23. PubMed PMID: 23892076; PubMed Central PMCID: PMC3983706.

  9. Reznik E, et al. The dynamics of hybrid metabolic-genetic oscillators. Chaos. 2013 Mar;23(1):013132. doi: 10.1063/1.4793573. PubMed PMID: 23556969.

  10. Collins SB, Reznik E, et al. Temporal expression-based analysis of metabolism. PLoS Comput Biol. 2012;8(11):e1002781. doi: 10.1371/journal.pcbi.1002781. Epub 2012 Nov 29. PubMed PMID: 23209390; PubMed Central PMCID: PMC3510039.

View a complete listing of Ed Reznik’s publications