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The Institute for Immunity, Transplantation and Infection at Stanford

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Garry P. Nolan, Ph.D. Stanford University Dept. of Microbiology & Immunology Signaling Phenotypes in single immune cells Why use Flow Cytometry to Measure Signaling? – PowerPoint PPT presentation

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Title: The Institute for Immunity, Transplantation and Infection at Stanford


1
The Institute for Immunity, Transplantation and
Infection at Stanford
2
  • In order to fulfill the mission of the ITI, the
    following
  • goals were set
  • (1) To help recruit faculty whose interests are
    in ITI based diseases,
  • and whose research is aimed toward moving
    discoveries from the bench to
  • bedside or bedside to bench.
  • To develop and fund young clinical faculty in the
    area of
  • clinical trial development and technology
    transfer in order to both understand the
  • pathophysiology as well as the treatment of ITI
    based diseases.
  • To establish a Postdoctoral Fellowship Program
    for MD
  • or MD PhD fellows who will do a project either in
    basic research aimed toward
  • pre-clinical models or clinical trials.

3
  • Continued Goals of the ITI
  • To establish new interactions among the ITI
    faculty
  • through seminars, retreats and educational
    initiatives
  • (5) To support high school summer students who
    will
  • spend at least eight weeks studying in a lab
    oriented toward ITI based disease
  • pathophysiology or therapy.
  • (established Dr P.J. Utz, Director)
  • (6) To develop an Immune Monitoring Unit.
  • This unit will allow innovative techniques in
    monitoring the immune system
  • developed at Stanford and elsewhere to be applied
    to patient care.
  • (7) To Develop Innovative Curriculum, a new
    program has been
  • developed to teach clinical approaches to PhD
    students from multiple disciplines.

4
A Clinical Immunology Summer School for High
School Students P.J. Utz, M.D.
5
  • Summer Student Model
  • Background
  • Initiated in summer 2000 with 10 students
  • Funded by donors and the NCAF
  • Expanded to 25 students in 2001 - 2004
  • 15, 42, 141, and 193 applications
  • 2003 statistics Mean GPA 4.06, SAT 1363,
  • s3 valedictorians, 10 1 in class
  • Students from public and private schools
  • 80 women

6
  • Goals for High School and Undergraduate Program
  • Interest students in careers in biomedical
    research
  • Improve teaching skills of graduate students
    and
  • postdoctoral fellows
  • Encourage interactions among faculty members
  • Community outreach
  • University
  • Medical School
  • Industry

7
  • Existing MODEL
  • Program
  • Lab selection by student from faculty
  • 15 lectures on basic immunology
  • 300 page syllabus with assigned reading
  • Lectures by individual faculty
  • Lectures on poster assembly and presentation
  • Intensive research experience
  • Poster presentation
  • Longitudinal study of program graduates is
    ongoing

8
  • This model has been exported nationally to
  • 10 of 30 FOCIS Centers of Excellence
  • Centralized educational materials
  • Syllabus
  • PowerPoint lectures
  • All administrative materials
  • Advertisements
  • Application forms
  • Letters of acceptance/rejection/waitlist
  • Organizational materials
  • Lecture schedules
  • Public relations materials
  • Information for participating mentors/labs

9
Immune Monitoring Core at Stanford
  • Needed to support new therapies and innovative
    trials.
  • Current facilities are in multiple labs
  • A centralized facility will provide better
    patient care
  • Advantages of proposed immune monitoring core
  • Provide a resource to the community
  • Designed to allow novel techniques in genomics
    and proteomics to be integrated as information
    based medicine by new bioinformatics technology
  • Substantial opportunity currently exists to build
    on existing expertise in research and to increase
    both clinical investigation and delivery of novel
    therapies.

10
(No Transcript)
11
  • Potentially Useful Multiplex Proteomics Assays
  • FACS/Phospho FACS
  • Autoantibody Profiling
  • Cytokine Profiling
  • Bead-Based
  • Cleavable Tags
  • Planar Arrays
  • Signaling Molecule Assays
  • FACS-Based Techniques
  • Planar Capture Arrays
  • Cleavable Tags
  • Lysate Arrays
  • Serum Proteome Analysis by Mass Spectroscopy

12
Activated vs Static Signaling Proteomics in
Autoimmunity.
Garry P. Nolan, Ph.D. Stanford University Dept.
of Microbiology Immunology
Signaling Phenotypes in single immune cells
13
Why use Flow Cytometry to Measure Signaling?
14
Revealing Lupus (SLE) Immune Deficiencies
requires stimulation of cells
SLE prone animals were given a drug iv
and isolated cells assayed before and following
activation ex vivo
T cells
Autoimmune
Normal
Peter Krutzik Matt Hale
15
Proteomic Assays P.J. Utz, M.D. and Bill
Robinson, MD. Ph.D. Stanford University
16
Produce arrays using a robotic microarrayer
17
The 1152 Feature CTD Chip
18
  • Details of Current Arrays
  • Coated Glass Slides
  • 150 Slides Per Print Run
  • Approximately 4,000-5,000 Spots/Features Per
    Slide
  • Features are Duplicated
  • 200uM Feature, 200pg Antigen
  • Protein, Peptide, Nucleic Acid, RNP, Complex
  • Monoclonal Antibody or Complex Mixtures
  • 30ul Volume
  • Fluorescent Detection (Cy3, Cy5, BoDipy)
  • Secondary Antibody vs Competition
  • Sensitive and Specific

19
  • Potential Applications
  • Multiplex Diagnostic Test
  • Epitope Spreading
  • Follow Response to Therapy
  • Guide Selection of Therapy
  • Discovery Tool

20
Reverse Phase Protein Lysate Microarrays P.J.
Utz, M.D.
21
Protein MicroarraysDetection of Phosphorylated
Proteins
22
  • In Vitro Studies Using Lysate Arrays
  • Analysis of Rare Cell Populations
  • FACS-Sorted Cells
  • Laser Capture Microdissection
  • Antigen-Specific Cells (e.g., Tetramers)
  • Correlation With Transcript Profiling (genomics)
    Experiments

23
A Cellular MicroArray
24
MHC-Cytokine Arrays
Secondary cytokine Detection antibody Conjugated
to a flurophore
Co-spotted Cytokine Capture antibody
Cytokine secreted by T cell after recognition
of Peptide/MHC
25
aCD8 Co-Spots MART1/A2
Co-Spots
aCD8 brightfield
MART1/A2 brightfield
26
Functional T Cell Responses to Peptide Vaccines
Key
of Blocks Denotes gp100 Specific Activity
27
What is now possible
  • Identifying disease subsets by proteomic
    signatures
  • Correlating proteomic signatures with clinical or
    therapy induced outcome in disease
  • DIRECT build-out of patient-specific proteomic
    maps and mechanistic inferences
  • Observation of rare subsets that would be missed
    by all other signaling analyses (mass spec,
    chromatography, elisa, bead)

28
Introduction to Medicine for PhD
studentsImmunology 230
  • How to learn about a disease using a prototype
    (diabetes)
  • Betsy Mellins MD

29
Course Goals
  • Understand how medical knowledge is organized
  • Appreciate the concerns and tools of the various
    scientific fields and clinical disciplines within
    medicine
  • Identify quality sources of medical information
  • Gain some familiarity with medical language
  • Learn specific information about human physiology
    and pathophysiology
  • Identify opportunities to apply your primary
    discipline to unsolved medical problems

30
Focus on one disease
  • This models the situation that may be confronted
    in the future
  • The idea is that a guided learning experience
    about one disease will teach skills that can be
    applied to learning about other diseases
  • Focus on Diabetes
  • Multi-system disorder Many branches of medicine
    needed to understand it
  • Relatively common
  • Partially understood many ?s that will draw on
    your expertise

31
Projects
  • Project goals
  • To work in inter-disciplinary teams on a medical
    problem that draws on each students primary
    expertise
  • To practice learning about medicine in the
    context of a focused effort to solve a problem
  • To demonstrate your acquisition of medical
    knowledge in the project report
  • Project teams
  • 3-4 students from different disciplines with a
    coach who is a graduate of last years course

32
Design of Human Microarray Experiment for
Identifying Genes Associated with Insulin
Resistance
  • Presented by
  • Su-In Lee, Mechanical Engineering
  • Kevin Pan, Biophysics

33
Our Commitment to medical research and
education and their role in serving the public go
to the very core of what the University is
about. John Hennessy,
President
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