FLOW CYTOMETRY November 1th, 2018 Jaco Kraan, PhD Dept. of - - PowerPoint PPT Presentation

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FLOW CYTOMETRY November 1th, 2018 Jaco Kraan, PhD Dept. of - - PowerPoint PPT Presentation

Molecular Medicine Postgraduate School Course Biomedical Research Techniques FLOW CYTOMETRY November 1th, 2018 Jaco Kraan, PhD Dept. of Medical Oncology Erasmus MC Cancer Institute j.kraan@erasmusmc.nl FLOW CYTOMETRY Introduction


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SLIDE 1

Molecular Medicine Postgraduate School Course Biomedical Research Techniques

FLOW CYTOMETRY

November 1th, 2018

Jaco Kraan, PhD

  • Dept. of Medical Oncology

Erasmus MC Cancer Institute j.kraan@erasmusmc.nl

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SLIDE 2

FLOW CYTOMETRY

  • Introduction
  • Principle of the instrument
  • Fluidics
  • Optics
  • Electronics
  • Analysis of results
  • Applications on a flowcytometer
  • Examples and results
  • Pros and cons
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SLIDE 3

Flow Cytometers

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SLIDE 4

What can Flow Cytometry Do?

  • Enumerate particles in suspension
  • Determine “biologicals” from “non-biologicals”
  • Separate “live” from “dead” particles
  • Evaluate 105 to 106 particles in less than 1 min
  • Measure particle-scatter as well as innate fluorescence
  • r 2o fluorescence
  • Sort single particles for subsequent analysis
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SLIDE 5

Flow Cytometry Publications/year

YEARS

Paper apers

Data taken from Medline search using the keywords: “Flow Cytometry”

5000 10000 15000 20000 25000 30000 1975 1980 1985 1990 1995 2000 2005 2010 25 2697 6652 12310 15180 21944 27042

YEAR

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SLIDE 6

FLUIDICS

Getting the cells in the right place (at the rigth time) using hydrodynamic focusing

J.Paul Robinson http://www.cyto.purdue.edu

The sample is injected into the center of a sheath flow. The combined flow is reduced in diameter, forcing the cell into the center of the stream One cell at a time gets exposed to the laser beam.

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SLIDE 7

PMT 1 PMT 2 PMT 5 PMT 4

Dichroic Filters Bandpass Filters

Laser

Flow cell

PMT 3

Scatter Sensor

Sample

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SLIDE 8

Optical Filters

Dichroic Filter/Mirror at 45 deg

Reflected light Transmitted Light Light Source

J.Paul Robinson http://www.cyto.purdue.edu

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SLIDE 9

Long and short Pass Filters

Transmitted Light Light Source 520 nm Long Pass Filter >520 nm Light Transmitted Light Light Source 575 nm Short Pass Filter <575 nm Light

J.Paul Robinson http://www.cyto.purdue.edu

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SLIDE 10

From Fluorescence to Computer Display

  • Individual cell fluorescence quanta is picked up by the

various detectors (PMT’s).

  • PMT’s convert light into electrical pulses.
  • These electrical signals are amplified and
  • Each event is designated a channel number (based on the

fluorescence intensity as originally detected by the PMT’s)

  • n a 1 Parameter Histogram or 2 Parameter Histogram.
  • All events are individually correlated for all the parameters

collected

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SLIDE 11

Principles of Flow Cytometry in Summary

  • cells in suspension
  • Flow in single-file through
  • An illuminated volume where they
  • Scatter light and emit fluorescence
  • That is collected, filtered and
  • Converted to digital values
  • that are strored on a computer

Fluidics Optics Electronics

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SLIDE 12

1 2 3 4 6 7 150 160 170 .. 190

Channel Number Positive Negative Brighter Dimmer Count

1 4 6

Fluorescence picked up from the FITC PMT

Data analysis - 1-parameter histogram

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SLIDE 13

FITC FL PE FL

Negative Population Single Positive FITC Population Single Positive PE Population Double Positive Population

Data analysis - 2-parameter histogram or dotplot

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SLIDE 14

Light Scatter properties (1)

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SLIDE 15

Light Scatter properties (2)

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SLIDE 16

Light Scatter properties (3)

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SLIDE 17

Light Scatter properties (4)

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SLIDE 18

Side Scatter

200 400 600 800 1000 200 400 600 800 1000 Lymphocytes Monocytes Neutrophils Platelets

Forward Scatter

Scatter properties (3)

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SLIDE 19

Fluorescence

λ = 488 nm

Emitted Fluorescent Light Energy Antibody Incident Light Energy Fluorescein Molecule

λ ≅ 530 nm HO CO2H O C

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SLIDE 20

FITC spectral characteristics

FITC PMT BAND PASS

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SLIDE 21

A TWO COLOR OPTICAL BENCH

FITC PMT PE PMT

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SLIDE 22

Spectral overlap in PE channel

FITC PMT BAND PASS PE PMT BAND PASS SPILLOVER

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SLIDE 23

PE spectral characteristics

FITC PMT BAND PASS PE PMT BAND PASS SPILLOVER

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SLIDE 24

INTRA-LASER SPILLOVER

the fluorochrome emission is mainly skewed towards the right

FITC EMISSION FITC PMT PE PMT PE-TR PMT PE-CY5.5 PMT PE-CY7 PMT

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SLIDE 25

INTRA-LASER SPILLOVER

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SLIDE 26

Setting electronic compensation for spectral overlap ('color compensation')

  • Using single labeled control cells or beads
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SLIDE 27

Setting electronic compensation for spectral overlap ('color compensation')

  • Validate using multiple labelled control cells
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SLIDE 28

Setting electronic compensation for spectral overlap ('color compensation')

  • UNCOMPENSATED !
  • multiple labeled lymphocytes
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SLIDE 29

Sample Preparation

  • MUST have a single‐cell suspension with 106 cells/sample ideally!
  • Always bring a negative control to set voltages and gates.
  • Bring single‐color controls for compensation, for each fluorochrome used.
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SLIDE 30

Typical flow cytometry protocol

Cell Surface staining

  • 100µL - 106 cells + 10µL mAb(s)
  • Incubate for 15’ at RT in the dark
  • Wash with 2 mL assaybuffer
  • Centrifuge 10’ 500 g
  • Fix cells in 1ml PBS/1%PFA
  • Acquire on FCM

Surface and Intracellular staining

  • Perform cell surface staining
  • Fix cells in (1%PFA)
  • Wash with 2 mL assaybuffer
  • Centrifuge 10’ 500 g
  • Permeabilize Cells (Triton/saponin)
  • Wash with 2 mL assaybuffer
  • Centrifuge 10’ 500 g
  • 10µL mAb(s) and incubate 15’
  • Wash with 2 mL assaybuffer
  • Centrifuge 10’ 500 g
  • Resuspend peelt in 0,5 mL assay

buffer and acquire on FCM

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SLIDE 31

Fluorochrome and mAb selection considerations

  • Titration of antibodies – to reduce non-specific mAb binding
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SLIDE 32

Antibody titration

  • Typical manufacturer’s recommendations:

X µL per 1E6 cells (in 0.5 ml).

  • Background increases with increasing number of Ab molecules.

6 ng/ml 60 ng/ml 300 ng/ml 600 ng/ml unstained

Side Light Scatter PE-CD3 intensity

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SLIDE 33

Fluorochrome and mAb selection considerations

  • Titration of antibodies – to reduce non-specific mAb binding
  • Choose bright fluorochromes
  • Minimize spillover between channels
  • “Bright” antibodies go on “dim” fluorochromes
  • Avoid spillover from bright cell populations into channels

requiring high sensitivity

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SLIDE 34

Multicolour Analysis: today up to 15+ colors

  • - Advantages:
  • Save time, reagents and samples
  • Exponential increase in information
  • Identify new/rare populations (<0.05%)
  • - Problems:
  • Select fluorochrome combinations
  • Get access to the right instrument
  • More problems with overlap of emission (Compensation)
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SLIDE 35

Applications of Flow Cytometry

  • Cel (subset) enumeration

(e.g. Lymphocyte subsets, Stem cells)

  • Celtyping using membrane / cytoplasmatic staining combinations

(e.g. leukemia / lymphoma typing)

  • Cell cycle analysis using DNA content
  • Bead arrays
  • Cell Viability/Apoptosis
  • Sorting
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SLIDE 36

Cell sorting

FACSAria sorter:  Fixed nozzle/flow cell  High-speed sorting – 70,000 events/sec  3 lasers - 15 parameters  to achieve high purity, not higher than 10,000 events  the lower the frequency of the starting population the higher the chance for the low purity  take care of the necessary sorting time  keep cells on ice / medium

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SLIDE 37

Cell sorting – for validation

CD34 FITC-A CD146 APC-A 10 10

1

10

2

10

3

10

4

10 10

1

10

2

10

3

10

4

CD34 FITC-A CD146 APC-A 10 10

1

10

2

10

3

10

4

10 10

1

10

2

10

3

10

4

Morphology and vWF on FACS sorted CEC

Patient Healthy Donor

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SLIDE 38

Applications of Flow Cytometry

  • Cel (subset) enumeration

(e.g. Lymphocyte subsets, Stem cells)

  • Celtyping using membrane / cytoplasmatic staining combinations

(e.g. leukemia / lymphoma typing / T-cell subsest)

  • Cell cycle analysis using DNA content
  • Bead arrays
  • Cell Viability/Apoptosis
  • Sorting
  • Functional assays
  • intracellular pH
  • intracellular calcium
  • Phosporylated intracellular substrates / kinases
  • oxidative burst
  • phagocytosis
  • tetramers
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SLIDE 39

Using Tetremers to identify CMV specific Cytotoxic T-lymphocyest

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SLIDE 40

Applications of Flow Cytometry

  • Cel (subset) enumeration

(e.g. Lymphocyte subsets, Stem cells)

  • Celtyping using membrane / cytoplasmatic staining combinations

(e.g. leukemia / lymphoma typing / T-cell subsest)

  • Cell cycle analysis using DNA content
  • Bead arrays
  • Cell Viability/Apoptosis
  • Sorting
  • Functional assays
  • intracellular pH
  • intracellular calcium
  • Phosporylated intracellular substrates / kinases
  • oxidative burst
  • phagocytosis
  • tetramers
  • Cytokine detection
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SLIDE 41

TH/C

Acquisition and analysis

(Kern et al. 1998 and 1999) Picker 1997

Stimulation of PBMC with Peptides (1 nM / 1 ml / 106 Cells) incubation (6-8 h) With Brefeldin A fixation and permeabilisation Staining

Laser 488 nm Intracellular Cytokine Assay Method

(MHC-loading / Antigen presentation) (Activation / Cytokine induction)

TH/C TH/C

Cytokine

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SLIDE 42

PBMC of a CMV+ patient stimulated with or without CMV lysate Gated on CD3+ cells

CMV lysate: IFNg / CD3: 1,10 % Control: IFNg / CD3: 0,01%

I.C. Cytokine Assay

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SLIDE 43

Combining advantages

R4 R5

Tetramer + peptide

R4 R5

Tetramer alone

no IFN-γ IFN-γ Tet + Tet +

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SLIDE 44

Flow Cytometry

PROS

  • Sensitive (one out of 104 –106)
  • Capacity to analyse small subpopulations in a suspension/culture
  • Combination of two or more assays in one tube
  • Specificity
  • Reproducible
  • Objective
  • Sorting capacity

CONS

  • Need for skilled personnel
  • Expensive (equipment)
  • (Labour intensive)
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SLIDE 45

SOURCES

  • Current Protocols in Cytometry:

ISBN 0471 161 314, John Wiley & Sons, inc., New York

  • Practical Flow Cytometry ,

4th edition, Howard M. Shapiro: ISBN 0471 411 256, John Wiley & Sons, inc., New York