660 Fa09 Flow Cytometry

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    Flow C t om et r an d Flow C t om et r an d So r t i ng So r t i ng

    Sum m er RainesSum m er RainesOct o b e r 5 t h , 2 0 0 9Oct o b e r 5 t h , 2 0 0 9 smr a ines@w isc .edu smr a ines@w isc .edu

    At t i eA t t ie La bLa b

    B io ch e m is t r y 6 6 0B io ch e m is t r y 6 6 0

    Theory of flow cytometry and sorting

    Equipment

    Light Scatter

    Fluorescence

    es gn ng a ow cy ome ry exper men

    Video example of a flow cytometry experiment

    -

    -

    Measurement of multiple characteristics of a single

    cell/particle simultaneously

    Measures: size, shape, granulation (light scattering)

    metabolic ro erties fluorescence

    Measure 105 to 106 cells/minute

    FACS (Fluorescence-activated cell sorting) separates cellsn o reusa e su -popu a ons

    Bas ic Flow Cy t om ete r

    Ultrasonic nozzle vibrator

    Optics System

    Laser

    Light scatter Fluorescence

    +/ +/+

    scatt

    er

    ulation)

    Intensity

    /

    /+

    Forward scatter

    (size)

    Side

    (gra

    Red intensity

    Gree

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    FACS

    Ultrasonic nozzle vibrator

    Laser

    + DeflectionplatesCell suspension

    FACS Exam p le Sor t i ng -ce l l s fo r t r an sp an tat on

    79.2%

    . .

    ulin

    79.2% 8.7%8.7%Ins

    Insulin

    Nature Biotechnology - 24, 1392 -1401 (2006)

    Synaptophysin Synaptophysin

    Laser

    Side Scatter

    Proportional to granulation

    More granulation = higher sidescatter

    Side Detector

    Forward

    Detector

    Forward Scatter

    Proportional to particle size/shape

    Larger particles = higher forward scatter

    600

    800

    atter Granulocytes

    400

    SideSc

    0

    200

    Lymphocytes

    onocy es

    Forward Scatter

    Lymphocyte Monocyte Granulocyte

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    550 Long pass 635 Long pass 735 Long pass

    LaserDichroic

    mirrors585nm

    700nm

    530nm

    Bandpass

    Filters

    525/15 580/20 700/20

    Greenchannel

    Orangechannel

    Redchannel

    Multiple-fluorochromes measured simultaneously

    Determine labeling method

    antibodies against cell surface vs. intracellular antigens

    dyesIdentify fluorescence properties

    Necessary lasers and filters

    Fluorophore combinations to reduce spectral overlap

    ControlsBiological controls (un-treated, non-transfected, etc)

    Isotype controls - reduce background fluorescence

    Compensation controls - reduce spectral overlap

    Prepare cells

    ~1 x 10 cells/mL density 10,000 total cells counted per sample

    3 technical replicates of 3 biological replicates

    Em ission Spect r a l Over lap

    PE

    APC

    PerCP

    1000

    nsity

    PI800

    600enceInt

    FITC400

    Fluores

    200

    Emission

    500 550 600 650 700

    Wavelength

    Fluorophores must each have distinct emission

    spectra to view in the same cell

    Controls for non-specific binding of the labeled antibody

    Test Antibodies

    - -

    Rabbit anti-human ProteinB-Green (IgG)

    Y

    Isotype Control Antibodies

    #1 - Mouse non-specific IgG-Orange

    #2- Rabbit non-specific IgG-Green

    Note: If secondary antibodies are labeled, no-primary

    antibody controls are the proper isotype controls

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    Controls for spectral overlap of fluorophores

    Test Antibodies

    - -- -

    Rabbit anti-human ProteinB-Green (IgG)

    Y

    Compensa t ion

    PE

    APC

    PerCP

    1000

    nsity

    PI800

    600enceIn

    t

    FITC400

    Fluores

    200

    Emission

    500 550 600 650 700Wavelength

    Fluorophores must each have distinct emission

    spectra to view in the same cell

    Controls for spectral overlap of fluorophores

    Test Antibodies

    - -

    Rabbit anti-human ProteinB-Green (IgG)

    Y

    Compensation Control Antibodies

    #1 - Rabbit non-specific IgG-Green +

    - -

    #2- Mouse non-specific IgG-Orange +

    Rabbit anti-human ProteinB-GreenYY

    Com en sat ion Ex am le #1 - Rabbit non-specific IgG-Green +

    Mouse anti-human ProteinA-Orange

    YY

    1000010000

    1000

    L2-585/PE

    nge

    1000

    L2-585/PE

    nge

    10

    FL2-H:F

    Ora

    10

    FL2-H:F

    Ora

    1 10 100 1000 100

    1

    1 10 100 1000 100

    FL1-H: FL1-530/FITC

    1

    Green

    CompensatedUncompensated

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    Com en sat ion Ex am le #2- Mouse non-specific IgG-Orange +

    Rabbit anti-human ProteinB-Green

    1000010000

    100

    1000

    L2-585/PE

    nge

    100

    1000

    L2-585/PE

    nge

    10

    FL2-H:F

    Ora

    10

    FL2-H:F

    Ora

    1 10 100 1000 100

    FL1-H: FL1-530/FITC

    1

    Green1 10 100 1000 100

    FL1-H: FL1-530/FITC

    1

    Green

    CompensatedUncompensated

    Dat a Ana l ysi s / Presen ta t i on

    Dot Plote

    Orange

    uoresce

    nc

    intensity

    - Plots 2 parameters against oneanother

    fl -

    ForwardScatter

    Histogram

    Coun

    t

    - Plots 1 parameteragainst number of cells

    Orange fluorescence intensity

    -

    ity

    800

    ter

    1000

    nce

    Intens

    400

    SideScat

    100

    Fluoresce

    0

    200

    1

    10

    Green

    0 200 00 600 800 100

    Forward Scatter0 200 400 600 800 100

    Forward Scatter

    e ec s nc popu a ons or ur er

    data analysis or sorting

    Type 2 Diabetes = insulin

    need overcomes insulinproduction due to loss of-cells

    Manipulate -cell growth =

    www.webhealthindia.com/ ?tag=nerves-system

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    -

    Cholecystokinin (CCK)

    Gut-derived peptide

    CCK? Up-regulated in miceresistant to Type 2

    DiabetesCausative or compensatory?

    Involved in cell cycle control?

    www.herb4cancer.wordpress.com/ 2007/11/

    Human cadaver pancreas

    Isolate islets

    Infect with -gal (control) or CCK adenovirusWidth of cells

    Dissociate islets into individual cells

    Insulin stainin

    Isolate -cells

    Examine cell cycle progression between -gal and CCK-treated -cells

    To stain for insulin (Identify -cells)Guinea i anti-human insulin I G

    Goat anti-guinea pig IgG-FITC

    Y

    To stain for DNA content (Identify cell cycle stage)

    Propidium Iodide (DNA dye)

    (Go/G1)

    (G2/M)

    (S)

    http://www.barrettsinfo.com/figures/fig6a1_2.gif

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    Controls for non-s ecific bindin of the labeled antibod

    Test Antibodies

    Guinea pig anti-human Insulin IgG

    Goat anti-guinea pig IgG-FITC

    Y

    Isotype Control (No-primary antibody)

    Goat anti-guinea pig IgG-FITC ALONE

    Note: No isotype control required for propidium iodide,

    as it is antibody-independent

    Compensa t ion

    1000ity

    PI800

    ceIntens

    FITC

    600

    400uorescen

    200

    issionFl

    500 550 600 650 7000E

    m

    Wavelength

    Controls for spectral overlap of fluorophores

    Test Antibodies

    Guinea pig anti-human Insulin IgGGoat anti-guinea pig IgG-FITC

    Propidium Iodide

    Compensation Control Antibodies

    a pig non-specific IgG Goat

    ea pig IgG-FITC + Propidium

    Iodide

    #2 - Guinea pig anti-human Insulin IgG

    -guinea pig IgG-FITC + NO

    Propidium Iodide

    Y

    - - - .

    vs. G2/M?

    How do these percentages change upon over-expression of CCK?

    Does CCK promote or inhibit-cell cycle progression?

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    Cell sortin

    Ion levels / flux

    -

    Enzyme activity

    Cell proliferation or death

    Cell c cle

    UW CCC Flo w Faci l i t yRm K4 / 535 UW Cl in i ca l Sc iences Cen te r , McArd le Room 118

    Kathy Schell: 263-0313; [email protected]

    www.cancer.wisc.edu/uwccc/services flow.as_

    FACScan

    488nm ar on laser

    FACS Vantage SE

    2 coherent lasers ar on Innova-90

    3 fluorescence channels

    technician or user operated

    , ,

    krypton Innova-302, HeNe lasers

    8 fluorescence channels

    FACSCalibur

    488nm argon and 633nm HeNe

    technician operated

    LSRII

    lasers

    4 fluorescence channels

    , ,

    11 fluorescence channels

    technician operatedec n c an or user opera e

    Flow Cytometry

    Protein Expression?

    Protein u - or down- re ulation?

    Sub-cellular localization?

    Protein binding partners?

    Post-translational modification?

    Protein/Metabolic profile?

    Disease diagnostics?

    Antibodies against foreign proteins?

    Sum m ary o f Techn iques

    Excellent Ver ood Good Fair Poor

    Easy CheapHigh

    through-put Quantitative

    Flow Cytometry