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Why and How to Measure Proliferative Capacity

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Flow methods for characterizing proliferating cells ... Study of T Cell Dynamics in Rhesus Macaque ... Summary: T cell proliferation/turnover in healthy macaques ... – PowerPoint PPT presentation

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Title: Why and How to Measure Proliferative Capacity


1
Why and How to Measure Proliferative Capacity
  • Vernon (Skip) Maino
  • BD Biosciences

2
OUTLINE
  • Flow methods for characterizing proliferating
    cells
  • Memory T cell proliferative capacity in vitro
    analysis
  • Memory T cell proliferative capacity in vivo
    analysis in Rhesus Macquaque

3
T Cell Activation Effector function,
Proliferation, Death
IL-4
IL-2
TNFa
IFNg
APC-T cell interactions
Cytokine expression
Proliferation/ Death
4
Proliferation Assays
  • In vivo proliferation BrdU injection, Ki-67
    staining
  • In vitro proliferation (proliferative capacity)
  • 3H-thymidine incorporation (MTT, XTT)
  • Cellular markers (Ki67, CD71)
  • BrdU labeling
  • CFSE labeling

5
Importance of Proliferative CapacityHints from
HIV
  • Rosenberg et al., Science (1997)
    CD4 T cell proliferation correlates with
    control of viremia
  • Migueles et al, Nature Immunology (2002) CD8 T
    cell proliferative capacity differentiates
    non-progressors from progressors
  • Lieberman, Shearer, etc
    Importance of IL-2, Anergy,
    APC defects

6
Memory T Cell Proliferative Capacity
  • Relevance to Immune Protection

7
HypothesisDetection of a given frequency of
antigen-specific T cells may be a necessary but
not sufficient condition for protection from
disease progression.Other potential factors -
proliferative capacity - effector function -
Ratio of anergic or regulatory cells
8
Flow Cytometric Techniques for Characterizing
Proliferating T Cells
  • CFSE
  • BrdU
  • Ki-67
  • Multi-color Combinations

9
CFSE Labeling
  • Requires pre-labeling of targets with precise
    level of CFSE
  • Allows multiparameter analysis of other
    phenotypic markers, including cytokines
  • Semi-quantitative, allows calculation of initial
    burst size as well as number of cell divisions
  • Does not account for frequency of dead cells

10
CFSE Example - anti-CD3 Stimulation
Day 0
Day 4 - IL-4 cells
No CD81
CD81
11
BrdU Incorporation
  • Simple, requires no pre-labeling of targets
  • Allows multiparameter analysis of other
    phenotypic markers, including cytokines
  • Provides cumulative frequency of cells which have
    undergone DNA synthesis but does not calculate
    divisions
  • Does not account for frequency of apoptotic cells

12
BrdU Incorporation as a Measure of Proliferation
  • BromoDeoxyUridine is a thymidine analog which is
    incorporated into DNA of the replicating cells
  • Detected by staining the cells with fluorescence
    labeled anti-BrdU mAb in presence of DNAase

13
or
PBMC Ag (peptides or proteins)
48 96h
1X FACSLYSE
Wash 1X FACSPERM
10 min
CD71 PE
Wash Stain ?-BrdU DNAase
BrdU-FITC
14
Combined CFSE and BrdU Labeling
unstimulated
SEB
CFSE
15
Equivalence of 3H-thymidine and BrdU
Mean cpm X 10-3
T cells incorporating BrdU
CD4
CD8
3H-TdR
0
1
2
0.5
1.5
SEB concentration (mg/ml)
16
Equivalence of 3H-thymidine and BrdU
? cpm
? cpm
? CD4BrdU
? CD4BrdU cells
17
(No Transcript)
18
SEB Activation 6h Pulse vs. Continuous BrdU
Labeling
80
60
40
CD4IFNg cells incorporating BrdU
20
pulse (6 h)
continuous (72 h)
0
19
CMV-specific Proliferation in CMV seropositive
Individual Comparison of Ki67 vs CD71 as
Additional Marker
BrdU FITC
20
Proliferation Cytokine Expression in
CMV-Activated PBMC 48 h Culture / CD4 gated
unstimulated
CMV lysate
anti-IFNg FITC
3.6
anti-BrdU FITC
21
Use of BrdU Staining to Identify Antigen-Specific
Proliferating CD4 Cells
48h culture/CD4 gated
p55 gag
HIV-REMUNE
Unstimulated
0.61
2.3
2.5
CD71PE
Anti-BrdU FITC
22
(No Transcript)
23
Relationship of HIV Proliferative Responses and
HAART Therapy
50000
p 0.07
45000
Absolute Number of Proliferating CD4 T cells /
ml Blood
20000
15000
mean
10000
7042
mean
5000
2484
0
no therapy
HAART therapy
(n 14)
(n 12)
24
Lack of Correlation between CD4 Counts and Number
of Proliferating CD4 T Cells or Stimulation
Index (Treated HIV-infected Individuals)
25
Proliferative T Cell Response as a Measure of
Dendritic Cell Function
26
Conclusions
  • Proliferative capacity of antigen-specific T
    cells is a potentially important predictor of
    disease protection.
  • CFSE and BrdU incorporation are both valuable,
    multiparametric methods to assess proliferative
    capacity of specific cell subsets.

27
Contributors
  • Smita Ghanekar
  • Bela Mehta
  • Sonny Bhatia
  • Holden Maecker
  • Jay Levy

BD Biosciences San Jose, CA
UCSF
Louis Picker U. Oregon Health Sci
28
Study of T Cell Dynamics in Rhesus Macaque
  • RM present the most readily available human-like
    animal model
  • Model will allow quantitative analysis of whole
    immune system
  • Increasing availability of sophisticated analytic
    tools
  • Direct application to central issues of HIV/SIV
    pathogenesis

29
Investigation of T Cell Turnover in RM
  • Mechanisms controlling peripheral T cell
    turnover (proliferation/death) are critical for
    the maintenance of naive and memory T cell
    populations and immune homeostasis but few
    avenues are available for in vivo exploration of
    these issues in the human.
  • Basic questions include
  • turnover characteristics of naïve, total memory,
    and effector/central memory populations, their
    homeostatic relationship to each other, and the
    regulatory mechanisms governing this homeostasis.
  • contribution of homeostatic mechanisms to
    pathobiology of viral infection (particularly
    HIV/SIV).

30
Tools For In Vivo Analysis of T Cell Homeostasis
in RM
  • Ki-67 expression
  • nuclear Ag expressed by cycling (non-G0) cells
  • issues non-discrete staining significance of in
    vivo expression poorly characterized
  • BrdU incorporation
  • thymidine analogue metabolized by salvage
    pathway incorporated into proliferating cells
    during S-phase
  • very discrete staining (reactivity indicates
    S-phase during the time of BrdU administration)
  • useful for both proliferation analysis and
    tracking
  • issues potential toxicity metabolic
    heterogeneity among different cell types

31
Ki-67 Expression Correlation With BrdU Labeling
Time
BrdU pulse
32
Ki-67 vs. BrdU During Washout Phase(CD4 T cells)
33
In vivo Meaning of Ki-67 Expression
  • 3-4 days BrdU labeling achieves near equivalence
    between Ki-67high and BrdU cells however,
    complete loss of Ki-67 expression among cells
    leaving cell cycle takes another 7-10 days.
  • Thus,total Ki-67 expression reflects an
    integrated average of cells undergoing S-phase in
    the previous 7-10 days with higher levels of
    Ki-67 expression highly weighted towards the
    previous 3-4 days.

34
Simultaneous BrdU/Ki-67 evaluation A poor
mans double label?
  • Co-analysis of BrdU and Ki-67 in the immediate
    BrdU labeling period delineates overall
    proliferation, and efficiency of BrdU
    incorporation.
  • Co-analysis in the first 1-2 weeks following BrdU
    pulsing, delineates cell cycle progression,
    length of the proliferative burst.
  • Co-analysis at later time points delineates
    re-entry into the proliferating pool.
  • Decay of BrdU cells occurs with either cell loss
    or proliferative dilution (gt 5 divisions), but
    relative death rates can be inferred by
    comparison of populations with equivalent Ki-67
    reactivity.

35
Ki-67 Expression Naïve vs. Memory Subsets
36
Ki-67 expression by CMV-specific CD4 memory T
cells before and after CMV challenge of
CMV-immune RM
37
Analysis of In Vivo Turnover CD28-Defined and
CMV-Specific Memory Subsets ( 15449)
38
Summary T cell proliferation/turnover in healthy
macaques
  • Steady state proliferation of memory subset 10
    fold greater than that of naïve subset.
  • CD4 and CD8 proliferation highly correlated.
  • Decay of BrdU memory T cells is biphasic, with
    half of initial label cells lost in first month
    and the next half over the following 5 months.
  • Decay of BrdU naïve T cells is not discernable
    over 6 months.
  • Proliferation/turnover of CD28 vs. - memory T
    cell subsets are not significantly different.
  • Ag provides strong proliferative stimulus in vivo.

39
Conclusions
  • Proliferative capacity of antigen-specific T
    cells is a potentially important predictor of
    disease protection.
  • CFSE and BrdU incorporation are both valuable,
    multiparameter methods to assess proliferative
    capacity of specific cell subsets.
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