Key Documents
Garry Nolan
- Professor, Microbiology & Immunology - Baxter Laboratory
- Member, Bio-X
- Member, Cancer Center
Contact Information
- Clinical Offices
- Academic Offices
Personal Information Email gnolan@stanford.edu Tel (650) 725-7002Administrative Contact Howard Guss Administrative Associate / Office Manager Email howardg@stanford.edu Tel Work 650-725-7002
Administrative Appointments
- Director, Stanford NHLBI Proteomics Center, National Heart, Lung, and Blood Institute of the NIH , (2002– 2009 )
Honors and Awards
- Stohlman Scholar, Leukemia and Lymphoma Society (2000)
- Scholar of the Leukemia Society, Leukemia and Lymphoma Society (1996-2000)
- Burrough's Wellcome Investigator's Award In Pharmacology, Burroughs Wellcome (1995-2000)
Professional Education
- B.S., Cornell University Genetics (1983)
- Ph.D., Stanford University Genetics (1989)
- Postdoctoral Fellowship, MIT, David Baltimore Laboratory Biochemistry (1993)
Postdoctoral Advisees
Graduate & Fellowship Program Affiliations
Web Site Links
Industry Relationships
Stanford is committed to ethical and transparent interactions with our industry partners. It is our policy to disclose payments of $5,000 or more, equity valued at $5,000 or more in a publicly traded company, or any equity in a privately held company, to physicians and scientists employed by Stanford University from companies or other commercial entities with which they interact as part of their professional activities.
- Consulting: Becton Dickenson, Nodality, Inc.
- Royalty Payments: Becton Dickenson, Nodality, Inc.
- Equity: Nodality, Inc.
- Service on Board of Directors: Nodality, Inc.
Research Interests
Control of T cell signaling, machine learning of signaling states by systems biology, and leukemia/cancer autoimmunity are prominent in our studies. We use advanced Flow Cytometric analysis (FACS) of phosphoproteins in single cells to achieve many of our goals. Signaling systems can now be analyzed directly by flow cytometry and Fluorescence Activated Cell Sorting, primarily through technologies developed in our laboratory, focused on following multiple phosphoproteins in complex populations of primary cells such as mouse cells and even clinical samples. Up to 15 simultaneous parameters can be followed in single cells including multiple kinases, phosphoproteins, cell cycle proteins, and other parameters, enabling resolution of cellular activation states.
We are using these techniques to study B and T cell signaling, dendritic cell function, and other immune parameters by analysis of biochemical functions at the single cell level. Recently, we have begun using the approach to distinguish predictive patterns of intracellular signaling to classify patient responses to chemotherapies and to determine how their signaling systems are altered in disease states. We are also using the technique for drug screening in primary cells to truly select for drugs with efficacies in certain cell subsets but not others.
Autoimmune diseases in which we have particular interest include rheumatoid arthritis and systemic lupus erythematosus. In these diseases, we focus on understanding how the immune system becomes dysregulated as disease comes and goes. We can measure and determine the cellular network states in multiple cell subsets. In cancer, we are working in follicular lymphoma as well as acute myelogenous leukemia where we can look at disease progression as a measure of changes in disease states correlated to particular genetic changes in the genome of human cancer cells. Also we have made determined efforts in understanding how the micro-environment of cancers modulates immune signaling. We have made significant strides in understanding this in several solid cancer models and have begun working with human clinical samples.
We put substantial effort into bioinformatics approaches to mine the datasets we collect and to automate the production of network models of the signaling pathways affected. For this, we have collaborations with statisticians, engineering departments, and computer design specialists here at Stanford and UC Berkeley to extend our efforts to make the program in the laboratory extremely cross-disciplinary.
Clinical Trials
Publications
- Cancer Cell. 2008; (4): 335-43
- Nat Chem Biol. 2007; (4): 187-91
- Curr Opin Chem Biol. 2006; (1): 20-7
- Nat Rev Cancer. 2006; (2): 146-55
- Science. 2005; (5721): 523-9
- Blood. 2004; (4): 1083-93
- Chem Biol. 2004; (3): 347-56
- Cell. 2004; (2): 217-28
- Proc Natl Acad Sci U S A. 2004; (27): 9982-7
- Anticancer Res. 2003 Mar-Apr; (2B): 1165-72
- Nat Immunol. 2003; (11): 1083-92
- Cytometry A. 2003; (2): 61-70
- Nat Biotechnol. 2002; (2): 155-62
- Immunity. 2002; (1): 51-65
- Immunity. 2001; (5): 687-90
- Nat Genet. 2001; (1): 23-9
- Mol Ther. 2000; (5 Pt 1): 438-47
- Chem Biol. 1998; (12): 713-28
- Cell. 1998; (5): 595-604
- Nature. 1998; (6672): 129-30
- Immunity. 1997; (3): 235-44
- Cell. 1997; (5): 821-4
- Hum Gene Ther. 1996; (12): 1405-13
- Nature. 1994; (6480): 497-502
- Cell. 1994; (6): 795-8
- Proc Natl Acad Sci U S A. 1993; (18): 8392-6
- Curr Opin Genet Dev. 1992; (2): 211-20
- Cell. 1991; (5): 961-9
- Science. 1991; (4989): 81-5
- Cell. 1990; (5): 1019-29
- Proc Natl Acad Sci U S A. 1988; (8): 2603-7
- Assay Drug Dev Technol. 2009; (1): 44-55
- J Comput Biol. 2009; (2): 201-12
- Biotechniques. 2009; (1): 44-50
- PLoS One. 2009; (4): e5206
- J Immunol. 2009; (1): 332-9
- J Immunol. 2009; (12): 7558-68
- Nat Chem Biol. 2008; (2): 132-42
- J Virol. 2008; (7): 3702-12
- Microsc Microanal. 2008; 670-1
- Ultramicroscopy. 2008; (1): 111-21
- Cancer Res. 2008; (13): 5132-42
- BMC Immunol. 2007; 2
- Blood. 2007; (9): 3945-52
- Blood. 2007; (7): 2674-84
- Int J Cancer. 2007; (5): 961-9
- Curr Protoc Immunol. 2007; Unit 8.17
- Blood. 2007; (6): 2589-96
- J Virol. 2007; (3): 1230-40
- J Immunol. 2006; (3): 1581-9
- Nat Methods. 2006; (8): 591-6
- Hepatology. 2006; (2): 352-9
- Blood. 2006; (9): 3135-42
- Hematology Am Soc Hematol Educ Program. 2006; 123-7, 509
- Immunol Rev. 2006; 208-28
- Nat Methods. 2006; (5): 361-8
- Nat Methods. 2006; (4): 295-301
- Curr Opin Mol Ther. 2006; (3): 215-24
- Gene Ther. 2005; (6): 467-76
- Curr Protoc Cytom. 2005; Unit 6.20
- J Virol. 2005; (20): 12921-33
- J Immunol. 2005; (4): 2357-65
- J Immunol. 2005; (4): 2366-73
- Oncogene. 2005; (19): 3177-86
- Nat Methods. 2005; (1): 11-2
- J Biol Chem. 2005; (15): 15195-201
- Nucleic Acids Res. 2005; (4): e39
- Clin Immunol. 2004; (3): 206-21
- Biochem Biophys Res Commun. 2004; (3): 998-1006
- Methods Mol Biol. 2004; 391-411
- Methods Mol Biol. 2004; 67-94
- Nucleic Acids Res. 2004; (2): e22
- Front Biosci. 2003; d603-19
- Vaccine. 2003; (19-20): 2667-77
- Gene Ther. 2003; (15): 1248-57
- Ann N Y Acad Sci. 2003; 512-9
- Immunity. 2003; (2): 183-92
- Methods Mol Med. 2002; 335-50
- Mol Ther. 2002; (5): 645-52
- Transplantation. 2002; (3): 299-306
- Chem Biol. 2002; (6): 670-2
- Leukemia. 2002; (8): 1507-18
- Curr Top Microbiol Immunol. 2002; 75-105
- Proc Natl Acad Sci U S A. 2002; (4): 2270-4
- Mol Ther. 2001; (2): 186-96
- Oncogene. 2001; (30): 4019-28
- Clin Immunol. 2001; (2): 220-8
- Eur J Immunol. 2001; (1): 285-93
- Angiogenesis. 2001; (4): 263-8
- Nat Biotechnol. 2001; (9): 824-5
- Curr Dir Autoimmun. 2000; 167-88
- J Immunol. 2000; (7): 3581-90
- J Mol Neurosci. 2000; (3): 215-29
- Biochim Biophys Acta. 2000; (2-3): 163-76
- Mol Ther. 2000; (1): 31-8
- Curr Biol. 1999; (10): 539-42
- Mol Cell Biol. 1999; (3): 2373-9
- Clin Immunol. 1999; (1): 10-4
- J Biol Chem. 1999; (2): 657-65
- Trends Genet. 1999; (6): 229-35
- J Exp Med. 1999; (3): 501-8
- Hum Gene Ther. 1999; (1): 123-32
- Immunity. 1998; (4): 461-71
- Eur Cytokine Netw. 1998; (3 Suppl): 83-91
- Cancer Res. 1998; (1): 14-9
- Curr Opin Biotechnol. 1998; (5): 447-50
- AIDS Treat News. 1997; (No 279): 1, 3-5
- J Exp Med. 1997; (9): 1597-602
- J Immunol. 1997; (4): 1666-8
- J Exp Med. 1997; (9): 1711-4
- Blood. 1996; (4): 1399-406
- Hum Gene Ther. 1996; (18): 2247-53
- Exp Hematol. 1996; (2): 324-9
- Proc Natl Acad Sci U S A. 1996; (16): 8508-11
- Proc Natl Acad Sci U S A. 1996; (11): 5185-90
- Cytometry. 1996; (4): 321-9
- Proc Natl Acad Sci U S A. 1996; (22): 12376-81
- Proc Natl Acad Sci U S A. 1995; (20): 9146-50
- Mol Cell Endocrinol. 1994; (1-2): 9-15
- Mol Cell Biol. 1993; (6): 3557-66
- Genes Dev. 1993; (7B): 1354-63
- Genes Dev. 1993; (7A): 1266-76
- Genes Dev. 1992; (5): 775-87
- EMBO J. 1992; (8): 3003-9
- Adv Exp Med Biol. 1991; 187-200
- Cytometry. 1991; (4): 291-301
- Mol Cell Biol. 1990; (4): 1697-704
- Genes Dev. 1990; (10): 1823-34
- Cold Spring Harb Symp Quant Biol. 1989; 767-76
- Immunol Suppl. 1989; 74-8; discussion 79
- Nucleic Acids Res. 1987; (10): 4337-47
- Proc Natl Acad Sci U S A. 1986; (10): 3422-6
- Proc Natl Acad Sci U S A. 1985; (15): 5126-30
- Nucleic Acids Res. 1984; (1 Pt 2): 717-29
- Nucleic Acids Res. 1984; (1 Pt 2): 695-702