Garry Nolan

Garry Nolan, PhD, Rachford and Carlota A. Harris Professor, Department of Microbiology and Immunology, Stanford University School of Medicine.


Research Description: Dr. Nolan’s areas of research include hematopoiesis, cancer and leukemia, autoimmunity and inflammation, and computational approaches for network and systems immunology. His group at Stanford pioneered techniques in phospho-flow cytometry, a breakthrough highly-used method. Together with DVS Sciences, Dr. Nolan introduced assays based on single-cell mass spectrometry (CyTOF) to simultaneously measure 45-100 markers per cell. Use of CyTOF mass cytometry for high-dimensional single-cell proteomics has been widely adopted worldwide. Another recent innovation is termed molecular ion beam imaging (MIBI) a system that also uses mass tags that will enable sub-light imaging (5 nm resolution) of tissue sections with 50 or more parameters per image. His laboratory has already begun a large scale mapping of the hematopoietic hierarchy in healthy human bone marrow at an unprecedented level of detail. One area of current investigation is the human pancreas, enabled by reliable procurement of primary tissue samples through the Stanford DRC Islet Core. Based on Dr. Nolan’s pioneering work, CyTOF and MIBI are poised to be the next revolution in single cell pancreas analysis, and is currently being applied by groups at Stanford and elsewhere (including the NIH Human Islet Resource Network) to delineate islet development and biology in health and diabetes or pre-diabetes. Dr. Nolan serves on the Advisory Committee to the Human Immune Monitoring Center (HIMC) with Davis, Fathman, Maecker and others. The HIMC supports the DIMC.


Selected relevant publications (Stanford DRC members in BOLD):

  1. Bendall, S.C., E.F. Simonds, P. Qiu, A.D. Amir el, P.O. Krutzik, R. Finck, R.V. Bruggner, R. Melamed, A. Trejo, O.I. Ornatsky, R.S. Balderas, S.K. Plevritis, K. Sachs, D. Pe'er, S.D. Tanner and Nolan GP, Single-cell mass cytometry of differential immune and drug responses across a human hematopoietic continuum. Science 332: p. 687-696, 2011.
  2. Bendall, S.C., K.L. Davis, A.D. Amir el, M.D. Tadmor, E.F. Simonds, T.J. Chen, D.K. Shenfeld, Nolan GP and Pe'er D., Single-cell trajectory detection uncovers progression and regulatory coordination in human B cell development. Cell 157: 714-725, 2014.
  3. Gaudilliere, B., Fragiadakis, G.K., Bruggner, R.V., Nicolau, M., Finck, R., Tingle, M., Silva, J., Ganio, E.A., Yeh, C.G., Maloney, W.J., et al. (2014). Clinical recovery from surgery correlates with single-cell immune signatures. Sci Transl Med 6: 255ra131, 2014.
  4. Krishnaswamy, S., Spitzer, M.H., Mingueneau, M., Bendall, S.C., Litvin, O., Stone, E., Pe'er, D., and Nolan, G.P. (2014). Systems biology. Conditional density-based analysis of T cell signaling in single-cell data. Science 346(6213):1250689. doi: 10.1126/science.1250689.