Aviv Regev

Aviv Regev

Professor of Biology; Core Member, Broad Institute; Investigator, Howard Hughes Medical Institute

Aviv Regev pioneers the use of single-cell genomics and other techniques to dissect the molecular networks that regulate genes, define cells and tissues, and influence health and disease.

617-714-7021

Phone

NE30-6031

Office

Kate Mulherin

Assistant

617-714-7022

Assistant Phone

Education

  • PhD, 2003, Tel Aviv University
  • MS, 1997, Tel Aviv University

Research Summary

We are interested in biological networks, gene regulation and evolution. Our work focuses on dissecting complex molecular networks to determine how they function and evolve in the face of genetic and environmental changes, as well as during differentiation, evolution and disease. The Regev lab is no longer accepting students.

Awards

  • Lurie Prize in Biomedical Sciences, Foundation for the National Institutes of Health, 2020
  • National Academy of Sciences, Member, 2019
  • Paul Marks Prize for Cancer Research, Memorial Sloan Kettering Cancer Center, 2017
  • International Society for Computational Biology (ISCB) Innovator Award, 2017
  • ISCB Fellow, 2016
  • Earl and Thressa Stadtman Scholar Award, 2014
  • Howard Hughes Medical Institute, HHMI Investigator, 2013
  • NIH Director’s Pioneer Award, 2008
  • Sloan Research Fellowship, 2008
  • Overton Prize, 2008

Recent Publications

  1. The Human and Mouse Enteric Nervous System at Single-Cell Resolution. Drokhlyansky, E, Smillie, CS, Van Wittenberghe, N, Ericsson, M, Griffin, GK, Eraslan, G, Dionne, D, Cuoco, MS, Goder-Reiser, MN, Sharova, T et al.. 2020. Cell 182, 1606-1622.e23.
    doi: 10.1016/j.cell.2020.08.003PMID:32888429
  2. Author Correction: Deciphering eukaryotic gene-regulatory logic with 100 million random promoters. de Boer, CG, Vaishnav, ED, Sadeh, R, Abeyta, EL, Friedman, N, Regev, A. 2020. Nat. Biotechnol. , .
    doi: 10.1038/s41587-020-0665-2PMID:32792646
  3. Cumulus provides cloud-based data analysis for large-scale single-cell and single-nucleus RNA-seq. Li, B, Gould, J, Yang, Y, Sarkizova, S, Tabaka, M, Ashenberg, O, Rosen, Y, Slyper, M, Kowalczyk, MS, Villani, AC et al.. 2020. Nat. Methods 17, 793-798.
    doi: 10.1038/s41592-020-0905-xPMID:32719530
  4. The network effect: studying COVID-19 pathology with the Human Cell Atlas. Teichmann, S, Regev, A. 2020. Nat. Rev. Mol. Cell Biol. 21, 415-416.
    doi: 10.1038/s41580-020-0267-3PMID:32606379
  5. Author Correction: A single-cell and single-nucleus RNA-Seq toolbox for fresh and frozen human tumors. Slyper, M, Porter, CBM, Ashenberg, O, Waldman, J, Drokhlyansky, E, Wakiro, I, Smillie, C, Smith-Rosario, G, Wu, J, Dionne, D et al.. 2020. Nat. Med. 26, 1307.
    doi: 10.1038/s41591-020-0976-3PMID:32587393
  6. A single-cell landscape of high-grade serous ovarian cancer. Izar, B, Tirosh, I, Stover, EH, Wakiro, I, Cuoco, MS, Alter, I, Rodman, C, Leeson, R, Su, MJ, Shah, P et al.. 2020. Nat. Med. 26, 1271-1279.
    doi: 10.1038/s41591-020-0926-0PMID:32572264
  7. MAUDE: inferring expression changes in sorting-based CRISPR screens. de Boer, CG, Ray, JP, Hacohen, N, Regev, A. 2020. Genome Biol. 21, 134.
    doi: 10.1186/s13059-020-02046-8PMID:32493396
  8. A single-cell and single-nucleus RNA-Seq toolbox for fresh and frozen human tumors. Slyper, M, Porter, CBM, Ashenberg, O, Waldman, J, Drokhlyansky, E, Wakiro, I, Smillie, C, Smith-Rosario, G, Wu, J, Dionne, D et al.. 2020. Nat. Med. 26, 792-802.
    doi: 10.1038/s41591-020-0844-1PMID:32405060
  9. Deciphering eukaryotic gene-regulatory logic with 100 million random promoters. de Boer, CG, Vaishnav, ED, Sadeh, R, Abeyta, EL, Friedman, N, Regev, A. 2020. Nat. Biotechnol. 38, 56-65.
    doi: 10.1038/s41587-019-0315-8PMID:31792407
  10. Accuracy assessment of fusion transcript detection via read-mapping and de novo fusion transcript assembly-based methods. Haas, BJ, Dobin, A, Li, B, Stransky, N, Pochet, N, Regev, A. 2019. Genome Biol. 20, 213.
    doi: 10.1186/s13059-019-1842-9PMID:31639029
More Publications

Multimedia

Photo credit: Casey Atkins