flow cytometry training: introduction day 1 session 2
TRANSCRIPT
Day 1Introduction 10:30 To 1:00 pm
Session 2
FLOW CYTOMETRY TRAINING
Robert Salomon (Flow Manager and Senior Flow Cytomerty Scientist)
Theory Sess ion – 0900 t i l l 1300
Introductions to the Lab and Staff Self Introductions Basics of flow cytometry Applications for Flow Cytometry
Morn ing tea - P rov ided
Getting Started Panel Des ign Controls and compensat ion Data Analys is and Interpretat ion
Data Acquisition Overview InstrumentationLunch – prov ided
Pract ica l Sess ion
SESSION 2
Outline – 5 mins
Day 1
To design good Flow Cytometry Experiments you’ll need to Start with a good panel Use appropriate controls
Compensation controls Fluorescence minus one (FMO)controls Positive and negative controls
Monitor your instrument
GETTING STARTED
What is a “PANEL” ? A Panel is a combination of fluorochromes that allows us to
characterise our sample using flow cytometry. It requires balancing technical and biological factors so that
we can accurately interpret the biological state of our cells
PANEL DESIGN
Understanding Fluorochromes
PANEL DESIGN
Input Light Energy
Output Light Energy
Fluorochrome
Getting started on your panel Know your Sample and Desired outcome
What is the goal of the experiment ? Which markers are critical ? Refer to literature for abundance & co-expression of antigen
Know your Fluorochormes and Instruments Fluorochrome brightness Spectral overlap What excites the fluor and what is the emmision
Theoretically design an “optimal Panel” Optimise the individual Elements in the Panel
Antibody titration Put it all together : Test the “optimised Panel”
Use all relevant controls Refine the panel
PANEL DESIGN
What are the important epitopes ?
How abundant are they ?
Which of my characteristics of interest are co-expressed ?
Which characteristics are negative for my cells of interest ? (dead cell exclusion dyes)
PANEL DESIGN: KNOW YOUR SAMPLE
Choice of Fluorchorome is critical , especially in more complex panels >4 fluors
What restrictions do I have ? Is there anything intrinsic in my sample that I will restrict my
choices? What fluorochromes can I see on the instrument? What antibody/ reagents are available to me ?
What is the best combination available? Can I match my least abundant epitope to the brightest
fluorochrome? Who do my fluorochromes interact ?
PANEL DESIGN: KNOW YOUR FLUOROCHROMES
Is there anything intrinsic in my sample that I will restrict my choices?
Fluorescent Proteins
Auto Fluorescence
PANEL DESIGN: FLUOROCHROME RESTICTIONS
What fluorochromes can I see on the instrument?
PANEL DESIGN: FLUOROCHROME RESTICTIONS
http://flow.garvan.org.au/flow-cytometers-instrument-details
What fluorochromes antibody combinations are available?
PANEL DESIGN: FLUOROCHROME RESTICTIONS
Fluorochrome Brightness
1. Quantum Efficiency = How well the fluor is excited.
2. Quantum Yield = How well the fluor converts excitation into emission.
PANEL DESIGN: OPTIMISING FLUOROCHROME
COMBINATIONS
Stain Index gives a measure of how well the positive population separares from the negative population
SI =(MFI pos – MFI neg )/2 x SD MFI neg pop
Is a combination of:1. Epitope expression level2. Fluorochrome3. Cell type4. The pressence of other fluors in the sample
PANEL DESIGN:OPTIMISING FLUOROCHROME
COMBINATIONS
PANEL DESIGN:OPTIMISING FLUOROCHROME
COMBINATIONS
Epitope Expression Level
Fluorochrome Brightness
PANEL DESIGN:THEORETICAL PANELS
Name Rob SalomonPanel Name 2015 B/T Sep
Desired Outcome Separation of B cells from CD4 and CD8 Tcells
Instrument Canto II
PANEL 1parameters target Expression level Fluor Fluor Brightness channel
1 Cd3 high GFP ++ B5302 cd4 high PE ++++ B5853 cd8 high APC ++++ R6604 cd19 very low APC Cy7 + R7805 Ter119 very high PE CY7 +++ B7806 Death DAPI +++++ V4507 8
PANEL 2parameters target Expression level Fluor Fluor Brightness channel
1 Cd3 high GFP ++ B5302 cd4 high APC CY7 ++++ R7803 cd8 high APC ++++ R6604 cd19 very low PE ++++ B5855 Ter119 very high Percp cy5.5 +++ B6956 Death DAPI +++++ V4507 8
PANEL DESIGN:THEORETICAL PANELS
Name Rob SalomonPanel Name 2015 B/T Sep
Desired Outcome Separation of B cells from CD4 and CD8 Tcells
Instrument Canto II
PANEL 1parameters target Expression level Fluor Fluor Brightness channel
1 Cd3 high GFP ++ B5302 cd4 high PE ++++ B5853 cd8 high APC ++++ R6604 cd19 very low APC Cy7 + R7805 Ter119 very high PE CY7 +++ B7806 Death DAPI +++++ V4507 8
PANEL 2parameters target Expression level Fluor Fluor Brightness channel
1 Cd3 high GFP ++ B5302 cd4 high APC CY7 ++++ R7803 cd8 high APC ++++ R6604 cd19 very low PE ++++ B5855 Ter119 very high Percp cy5.5 +++ B6956 Death DAPI +++++ V4507 8
Antibody titration To establish the optimum antibody dilution, highest
signal/noise ratio Done for each antibody in the correct experimental
condition
PANEL DESIGN: OPTIMISE INDIVIDUAL ELEMENTS
http://regmed.musc.edu/flowcytometry/images/AntibodyTitration.jpg
Note: tandem dyes may require lot-specific titration
Depending on type of assay. Determining changes in level of expression
Absolutely requires saturating levels Differentiating between cell types.
Can be achieved through non-saturating however care should be taken
PANEL DESIGN: OPTIMISE INDIVIDUAL ELEMENTS
Saturating
4
7
4
5/7
NonSaturating
01
FMO (fluorescence minus one) Contains all markers except one To discriminate positive vs negative populations
PANEL DESIGN: OPTIMISE INDIVIDUAL ELEMENTS
http://www.dartmouth.edu/~dartlab/?page=flow-cytometry
Name Rob SalomonPanel Name 2015 B/T Sep
Desired Outcome Separation of B cells from CD4 and CD8 Tcells
Instrument Canto II
PANEL 2parameters target Expression level Fluor Fluor Brightness channel
1 cd3 high GFP ++ B5302 cd4 high APC CY7 ++++ R7803 cd8 high APC ++++ R6604 cd19 very low PE ++++ B5855 Ter119 very high Percp cy5.5 +++ B6956 Death DAPI +++++ V4507 8
PUTTING IT ALL TOGETHER:TEST YOUR COMPLETE PANEL
Panel Plus Controls and Analyse
Unstained controlAs negative controls – no antibody presentTo assess any autofluorescence
Compensation controlsSingle colour controls – stain with one fluorophore with the EXACT conditions as experimental samples
Compensate for fluorophore emission overlaps
CONTROLS: INSTRUMENT & SETUP CONTROLS
http://www.abdserotec.com/flow-cytometry-fluorescence-compensation.html
Unstained controls Allow relative Determination of positivity
PUTTING IT ALL TOGETHER:CONTROLS
Question : Which Populations is the Positive ?
Unstained controls Allow relative Determination of positivity
PUTTING IT ALL TOGETHER:CONTROLS
Question : Which Populations is the Positive ?
Answer : Both – Because I spiked in a negative control
Compensation Controls Set of samples/beads consisting of
One tube of unstained sample/beads + Tubes of single fluorochrome labelled samples
OR Tubes of single fluorochrome labelled beads spiked with
unstained beads.
PUTTING IT ALL TOGETHER:CONTROLS
EFFECT OF COMPENSATION
Digital compensation
doesn’t change the underlying
data it just allows us to interpret it
EFFECT OF COMPENSATION
Digital compensation
doesn’t change the underlying
data it just allows us to interpret it
DIGRESSION:WHY DO WE NEED TO COMPENSATE
?
spectral viewers
http://www.bdbiosciences.com/research/mult icolor/spectrum_viewer/index.jsp
http://www.invitrogen.com/site/us/en/home/support/Research-Tools/Fluorescence-SpectraViewer.html
DIGRESSION:WHY DO WE NEED TO COMPENSATE
?
spectral viewers
http://www.bdbiosciences.com/research/mult icolor/spectrum_viewer/index.jsp
http://www.invitrogen.com/site/us/en/home/support/Research-Tools/Fluorescence-SpectraViewer.htmlUse the
DIGRESSION:WHY DO WE NEED TO COMPENSATE
?
spectral viewers
http://www.bdbiosciences.com/research/mult icolor/spectrum_viewer/index.jsp
http://www.invitrogen.com/site/us/en/home/support/Research-Tools/Fluorescence-SpectraViewer.htmlUse the
DIGRESSION:WHY DO WE NEED TO COMPENSATE
?
spectral viewers
http://www.bdbiosciences.com/research/mult icolor/spectrum_viewer/index.jsp
http://www.invitrogen.com/site/us/en/home/support/Research-Tools/Fluorescence-SpectraViewer.htmlUse the
DIGRESSION:WHY DO WE NEED TO COMPENSATE
?
Spectral overlap occurs when
fluorochromes excited by the
same lasers emit in similar
ranges.
B 530 B 5850%
20%
40%
60%
80%
100%
120%Effect of spectral overlap - Instrument View
Perc
enta
ge o
f Si
gnal
in
Det
ecto
r
COMPENSATION THEORY
Compensation is applied at the single event level
B 530 B 5850%
20%
40%
60%
80%
100%
120%
Signal from Com-pensation Controls
Axis
Titl
e
overlap
overlap
B 530 B 585020406080
100120
FITC bright
Sign
al S
tren
gth
B 530 B 5850
20406080
100120
FITC dull
Sign
al S
tren
gth
Compensation removes the signal spillover from one fluorochrome into any other parameter.
COMPENSATION THEORY
MFI pos population NTC1
= MFI neg population NTC1
MFI pos population NTC2
= MFI neg population NTC2
………………………………..MFI pos population NTC
n = MFI neg population NTC
n
MFI = Media Fluorescent IntensityNTC = Non Target channel
MFI FITC channel
MFI Pe channel
MFI APC channel
Fitc 25818
193 222
Pe 421 23940
228
APC 431 181 27271
unstained
905 377 235
Compensation removes the signal spillover from one fluorochrome into any other parameter.
COMPENSATION THEORY
MFI pos population NTC1
= MFI neg population NTC1
MFI pos population NTC2
= MFI neg population NTC2
………………………………..MFI pos population NTC
n = MFI neg population NTC
n
MFI = Media Fluorescent IntensityNTC = Non Target channelWhere
D= Fluorescence in detector
F= Fluorescence signalN = FL from detector #
N = FL in Detector #
EFFECT OF COMPENSATION
Digital compensation
doesn’t change the underlying
data it just allows us to interpret it
EFFECT OF COMPENSATION
Digital compensation
doesn’t change the underlying
data it just allows us to interpret it
DATA ANALYSIS AND INTERPRETATION
PLOT TYPES
Dot Plot
Histogram Histogram
Contour Plot
Rectangular Gates
Elliptical Gates
Polygon Gates
Quadrant Gates
Histogram regions
GATES & GATING
Rough gates – generally suitable for initial gating
Generally better suited to biological populations
Gives the most control – generally recommended
Flow data generally doesn’t conform to 900
angles Only applicable for histograms
Gating Hierarchy
HIERARCHY
Gating Hierarchy
HIERARCHY
1
2
34
5a
5b
NumbersPercentages – parent and total MFI - Median/Mean Fluorescent intensityCV’s
STATISTICS
As we increase our number of observations we also increase the ability to resolve smaller and smaller changes
STATISTICAL RELEVANCE IN FLOW CYTOMETRY
The smallest flow file will generally contain at least 5000 events. It is not unusual to obtain >10^6 events.
http://www.dako.com/08065_15dec05_guide_to_flow_cytometry.pdf
Data must be on scaleThere must be controls to show the relationship
between populations Instrument settings must be constantBe careful viewing uncompensated data
Do not over interpret results (especially without the correct controls)
HOW TO INTERPRET PLOTS
Out of scale data cannot be read efficiently.
DATA MUST BE ON SCALE
Right most population off scale
1. Decide what your looking for 2. Decide on the logic used to identify the population
of interest3. Label Everything
4. Draw your plots5. Open you gate hierarchy6. Draw the Gates7. Chose your statistics of interest
CREATING AN ANALYSIS TEMPLATE
INSTRUMENTATION
Analysers
FACSCalibur
CantoI
CantoII
AMR Fortessa
LSRII SORP
Sorters and Cell Separation
FACSAriaIIu
FACSAriaIII (x 2)
AutoMacs Pro
FACS CALIBUR*
2 laser 488nm (blue) 633nm (red)
8 parametersSSc & FScblue laser - 3x red laser - 1x
Event rate< 3, 000
CANTO I
2 laser 488nm (blue) 633nm (red)
8 parametersSSc & FScblue laser - 4xred laser - 2x
Event rate< 15, 000
CANTO II
3 laser 405nm (violet)488nm (blue) 633nm (red)
10 parametersSSc & FScviolet - 2x blue laser - 4x red laser - 2x
Event rate< 10, 000
AMR FORTESSA
4 laser 405nm (violet)488nm (blue) 533nm (YG)633nm (red)
15 parametersSSC & FSCviolet - 4x blue laser - 2x yellowgreen - 4x red laser - 3x Event rate < 20, 000
LSRII SORP **
5 laser 355nm (UV)405nm (violet)488nm (blue) 561nm (YG)633nm (red)
20 parametersSSc & FSc& FSc PMTUV - 2xviolet - 6x blue - 2x YG -4xred - 3x
Event rate < 20, 000
ARIA IIU CELL SORTER
3 laser 405nm (violet)488nm (blue) 633nm (red)
12 parametersSSc & FScviolet - 2x blue - 6x red - 2x
Event rate < 20, 000
ARIA III CELL SORTER
4 laser 405nm (violet)488nm (blue) 561nm (YG)633nm (red)
18 parametersSSc & FScviolet - 6x blue - 2x YG - 5xred - 3x
Event rate < 20, 000
AUTOMACS PRO
Magnetic Cell Separation Technique.
Speed ~4ml in 15mins
WHAT’S INSIDE A FLOW CYTOMETER ?
Flow cytometers have 3 key systems
Fluidics Optics Electronics
FLUIDICS SYSTEM
Wet cart
Sheath filter
Flow Cell Waste
1. Top up at start of run
FLUIDICS SYSTEM
Wet cart
Sheath filter
Flow Cell Waste
1. Top up at start of run
2. Check and remove air bubbles
FLUIDICS SYSTEM
Wet cart
Sheath filter
Flow Cell Waste
1. Top up at start of run
2. Check and remove air bubbles
3. Ensure flow cell is free from air and blockages
FLUIDICS SYSTEM
Wet cart
Sheath filter
Flow Cell Waste
1. Top up at start of run
2. Check and remove air bubbles
3. Ensure flow cell is free from air and blockages
4. Ensure no air bubbles in line and waste height doesn’t change
INSTRUMENT POWER
INSTRUMENT STARTUP
SHEATH FILTER
FLUIDICS PRIME
1. Turn system on2. Remove air From Sheath Filter3. Perform software fluidics startup
Canto I, and Canto II
FLUIDICS PRIME
1. Turn system on2. Remove air From Sheath Filter3. Turn laser off (if possible)4. Prime 2 x ( no Tube)5. Run TDW for 1 min – or until no air
in waste lines6. Turn laser on.
Calibur LSRII / LSRII SORP
FLOW CELL
Low
Medium
High
Hydrodynamic focusing of sample to laser intercept -(interrogation point)
LegendLaser intercept
Core Stream
FLOW CELL
Hydrodynamic focusing of sample to laser intercept -(interrogation point)
Low
Medium
High
LegendLaser intercept
Core Stream
Laser focal plane Signal
spread
SAMPLE FLOW RATE CONTROL
OPTICS
Laser emission Laser delivery
Sample laser
interaction at flow cell
Emission collection
Spectral separation
Ensure lasers are on - software LSRII SORP ORHardware
OPTICS
Laser emission Laser delivery
Sample laser
interaction at flow cell
Emission collection
Spectral separation
Ensure lasers are on - software LSRII SORP ORHardware
Ensure Clean Flow cell
OPTICS
Laser emission Laser delivery
Sample laser
interaction at flow cell
Emission collection
Spectral separation
Ensure lasers are on - software LSRII SORP ORHardware
Ensure Clean Flow Cell
Achieved by filter selection
OPTICS: LASERS
OPTICS: FLOW CELL
OPTICS
Allows the excitation and the collection of the emitted light
LASER
Steering mirrors
Steering mirrors
Flow Cell - interrogation point
emission
OPTICS CONT..
Signal Detection is achieved by
col lecting emitted or
scattered l ight
Forward Scatter (FSc) detector
Fluorescent and Side Scatter (SSc) Detectors
Dichroic mirrors bounce light
Bandpass filter clean up the signal
HOW DO WE COLLECT MULTIPLE SIGNALS FROM THE ONE
EXCITATION SOURCE ?
DichroicMirror
SPECTRAL SEPARATION
Dichroic mirrors LP (Long Pass) – allows light longer than nominated
wavelength to pass SP (Short Pass) – allows light shorter than
nominated wavelength to pass
Band Pass filters Restrict the wavelength of light that is allowed to
pass
SPECTRAL SEPARATION Band Pass filters
Restrict the wavelength of light that is allowed to pass
Centre of bandpass
Width of bandpass
UNDERSTANDING PMT ARRAYS
Dichroic ring Band Pass ring PMT ring
USING PMT ARRAYS
Channel Common fluorochrome
B 780 PE CY7B 670 PE CY5
PerCPB 610 Dichroic
only B 575 PEB 530 FITC/ GFP488/10 SSC
UNDERSTANDING PMT ARRAYS Position
Wave length
ABCDEF
A
UNDERSTANDING PMT ARRAYS Position
Wave length
A >488nmBCDEF
A
UNDERSTANDING PMT ARRAYS Position
Wave length
A >488nmBCDEF
A
B
UNDERSTANDING PMT ARRAYS position
Wave length
A >488nmB >735nmCDEF
A
B
UNDERSTANDING PMT ARRAYS Position
Wave length
A >488nmB >735nmCDEF
A
B
C
UNDERSTANDING PMT ARRAYS Position
Wave length
A >488nmB >735nmC 750-810nmDEF
A
B
C
UNDERSTANDING PMT ARRAYS Position
Wave length
A >488nmB >735nmC 750-810nmDEF
A
B
C
D
UNDERSTANDING PMT ARRAYS Position
Wave length
A >488nmB >735nmC 750-810nmD 488-735nmEF
A
B
C
D
UNDERSTANDING PMT ARRAYS Position
Wave length
A >488nmB >735nmC 750-810nmD 488-735nmEF
A
B
C
D
E
UNDERSTANDING PMT ARRAYS Position
Wave length
A >488nmB >735nmC 750-810nmD 488-735nmE 655-735nmF
A
B
C
D
E
UNDERSTANDING PMT ARRAYS Position
Wave length
A >488nmB >735nmC 750-810nmD 488-735nmE 655-735nmF
A
B
C
D
E
F
UNDERSTANDING PMT ARRAYS Position
Wave length
A >488nmB >735nmC 750-810nmD 488-735nmE 655-735nmF 670-735nm
A
B
C
D
E
F
CONFIGURATION DOCUMENTS
UNDERSTANDING THE PMT
Detector or PMT
Amplification Voltage
Electron Cascade Digitisati
on and processing
http://sales.hamamatsu.com/assets/applications/ETD/pmt_handbook_complete.pdf
Light signal
electronic signal
AFFECT OF PMT VOLTAGE
Low voltage
Negative population
AFFECT OF PMT VOLTAGE
Mid Voltage
Negative population
Negative population
Low voltage
AFFECT OF PMT VOLTAGE
High Voltage
Negative population ???
Negative population ???
Negative population ???
Mid Voltage
Low voltage