Enhancing Flow Cytometry Practices for Accurate Data Analysis

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Jennifer Wilshire, PhD
jennifer.wilshire@stemcell.com
 
 
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7 Practical Rules of Flow Cytometry
Part 1: You will suggest the crime in each case
Part 2: You will investigate flow crimes in an experiment
Prinz 
et al. Nat. Rev. Drug Discov. 
10, 712, 2011
Bayer Healthcare team found only 25% of studies could be replicated
Amgen could only robustly replicate 6 out of 53 “landmark” oncology
studies from 2001-2011.
Begley & Ellis 
Nature 
483, 531–533, 2012
 
DO GOOD FLOW!
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Notes:
-lymphs
-FcR blocked
-single color experiment
-CD3 expression is bi-modal (on or off)
OVERSTAINED
!
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Proteins stick to each other
Antibodies stick to membrane proteins
Concentration specific
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Goals:
Saturate positives
Negatives stay unstained
Notes:
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Number of cells isn’t that important
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2
Notes:
-Lysed Blood cells
-CD158i is expressed on 
NK cells 
and some 
T cells
-Monocytes are in 
blue
Data courtesy of BD Biosciences
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MONOS BIND
ANTIBODY VIA FcR
CD3 - FITC
CD158i  - A647
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Fc Receptors bind antibodies
False positives!
Block FcR before staining
Anti-CD16/32 antibody (mouse cells)
200 ug/ml purified IgG (human cells)
Commercial Fc block
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Data from Nature Reviews Immunology 4, 648-655 
Notes:
-Lymphocytes
-CD4 and CD8 are mutually exclusive
-FcR were blocked
-microscope shows single cell prep
CD8
CD4
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CD8
CD4
CD4
CD8
DEAD CELLS
BIND ANTIBODIES
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Dead cells bind antibodies indiscriminately
False positives!
Scatter gating does not remove ALL dead cells
Exclude dead cells with a viability dye
DAPI, PI, ToPro3…
Fixable live/dead dyes (fixed cells)
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4
Notes:
-Cell line transfected with GFP
-post-sort purity was poor
-recovery was good (too good?)
-bead test sort showed good purity
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24% GFP+
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67% GFP+
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GFP- HITCHHIKE
WITH GFP+
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Cells stick together 
 Doublets
Not removed by filtering
Cause poor sort purity
Give false double positive populations
Width/Height and Area/Height pulse gating doesn’t
remove all doublets
Cell preparation is key!
Some adhesion molecules require Ca
++
/Mg
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Add EDTA
DNA released from dead cells is sticky
Stop killing your cells
Add DNAse
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Pulse
Width
Pulse
Width
Pulse
Width
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Data courtesy of Mario Roederer
Notes:
-Single color controls:
     -CD3 TR-PE
     -CD57 PE
-controls are as bright as
experimental stain
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Single color controls:
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CD3 TR-PE
-CD57 PE
CD57 PE
CD45RO TR-PE
TR-PE SPILLOVER
DIFFERS BY VIAL
 
RULE #1
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Each lot of tandem dye is different!
GFP, FITC, A488, CFSE are all green but have different spectra
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Data courtesy of Mario Roederer
IFNg Cy7PE
IL4 APC
Notes:
-Single color controls:
IFNg Cy7PE
IL4 APC 
Cy7PE 
Single
APC 
Single
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Compensated sample
IL-4 APC
IFNg Cy7PE
Cy7PE
single
CONTROL NOT AS
BRIGHT AS SAMPLE
APC
single
 
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RULE #2
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Notes:
-Single color controls:
     -FITC CDX bound to beads
     -PE CDY bound to cells
     -“Universal Negative” = unstained cells
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Single color controls = bright as sample
FITC CDX
PE CDY
AUTOFLUORESCENCE DIFFERS
NEG AND POS POPULATION
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FITC CDX
PE
FITC
PE CDY
FITC
PE
CELLS
BEADS
FITC Single Control
PE Single Control
Universal Negative
CELLS
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RULE #3
Match autofluorescence of pos and neg pops
…for each color
Make FSC vs SSC gate small
Uniform autofluorescence
Be wary of universal negative
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RULE #1
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RULE #2
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RULE #3
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Additional rules:
Treat controls same as samples
Record enough events
 
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PE: CD8
Cy7PE: CD20
Notes:
-Compensation is correct
-bead test sort showed good purity
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PE
Cy7PE
Unstained
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PE: CD8
Cy7PE: no stain
PE: CD8
Cy7PE: CD20
Fully Stained
SPREADING DUE TO
MEASUREMENT ERROR
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Spreading due to measurement error
Populations spread out in multicolor experiments
Cannot set gates on unstained
FMO = Fluorescence
 
Minus One
Leave out one reagent at a time
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Gate it don’t debate it!
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Unstimulated      no stain 
Stimulated          MIP1beta stained
Cells
Stain
Notes:
-FcR blocked
-single color experiment
-antibody titered correctly
Unstimulated      no stain
Stimulated          MIP1beta stained
Cells
Stain
Stimulated          no stain
PE detector
23%
DIFFERENT
AUTOFLUORESCENCE
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Gating control MUST match autofluorescence of sample
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Gate it don’t debate it!
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Untransfected
GFP transfected
Notes:
-single color experiment
-microscope showed single cell prep
-bead test sort showed good purity
-recovery is good
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HISTOGRAMS MASK
SEPARATION BETWEEN
AUTOFLUORESCENCE AND
GFP FLUORESCENCE
GFP
PE
GFP
# Cells
GFP
PE
GFP
# Cells
Negative Control
GFP sample
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Dot Plots distinguish high autofluorescence and GFP fluorescence
Autofluorescence is fairly constant in neighboring parameters
Autofluorescence = emission from many chemicals in the cell
Emission spectra
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Titrate to make data great!
Fc Block to make data Rock
Dead Cells Kill Your Data
DOUBLE Trouble
Compensation Controls are KEY
Gate it don’t debate it!
Histograms Hide Data
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Crime doesn’t pay
bad data = bad science
Follow “7 Practical Rules” to avoid flow felonies
An experiment is not always salvageable
rehabilitation may not be possible
but can identify problems to avoid in future
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STEMCELL Technologies
Hank Pletcher
Jan Hendrikx
Tim Bushnell
Mario Roederer
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Use forensic flow cytometry to investigate
the flow “crimes”
What is missing?
What type of
controls are
missing?
Can a universal negative control of be used when compensating?
If yes – should it be cells or beads?
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Explore the realm of forensic flow cytometry with emphasis on improving data quality through proper titration and blocking techniques. Learn to identify and address common flow cytometry issues in various experimental cases to ensure reliable and reproducible results. Dive into practical rules and motivations for achieving better flow cytometry outcomes.

  • Flow Cytometry
  • Data Quality
  • Experiment Analysis
  • Reproducibility
  • Titration Techniques

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  1. Forensic Flow Cytometry BAD DATA STOPPERS Jennifer Wilshire, PhD jennifer.wilshire@stemcell.com

  2. Overview 7 Practical Rules of Flow Cytometry Part 1: You will suggest the crime in each case Part 2: You will investigate flow crimes in an experiment

  3. Motivation Bayer Healthcare team found only 25% of studies could be replicated Prinz et al. Nat. Rev. Drug Discov. 10, 712, 2011 Amgen could only robustly replicate 6 out of 53 landmark oncology studies from 2001-2011. Begley & Ellis Nature 483, 531 533, 2012 BAD DATA STOPPERS DO GOOD FLOW!

  4. Case 1 Unstained CD3-PE PE+ 87% Notes: -lymphs -FcR blocked -single color experiment -CD3 expression is bi-modal (on or off) CD3 - PE Problem: Incorrect pattern and % of CD3+

  5. Titrate to make data great! Correct PE+ % OVERSTAINED! PE+ 72% PE+ 87% CD3 - PE CD3 - PE Unstained Expression is a smear Where do you place the gate? Gate valid ONLY if antibody properly titrated! Gate on unstained CCR7 - PE CCR7 - PE CCR7 - PE

  6. Case 1 Titrate to make data great! Antibody Proteins stick to each other Antibodies stick to membrane proteins Concentration specific Cell Titrate your reagents more is NOT merrier! Goals: Saturate positives Negatives stay unstained Notes: Keep Time, Temperature and Total volume (concentration) constant Number of cells isn t that important

  7. Case 2 CD158i - A647 Notes: -Lysed Blood cells -CD158i is expressed on NK cells and some T cells -Monocytes are in blue CD3 - FITC Problem: Incorrect pattern and % of 158i Data courtesy of BD Biosciences

  8. Fc Block to make data Rock! MONOS BIND ANTIBODY VIA FcR FcR blocked CD158i - A647 CD158i - A647 CD3 - FITC CD3 - FITC

  9. Case 2 Fc Block to make data Rock! Antibody Fc Receptors bind antibodies False positives! Fab Block FcR before staining Anti-CD16/32 antibody (mouse cells) 200 ug/ml purified IgG (human cells) Commercial Fc block Fc Non-specific Specific Antigen Fc Receptor

  10. Case 3 CD8 Notes: -Lymphocytes -CD4 and CD8 are mutually exclusive -FcR were blocked -microscope shows single cell prep CD4 Problem: CD4,CD8 double positives Data from Nature Reviews Immunology 4, 648-655

  11. Dead Cells Kill Your Data DEAD CELLS BIND ANTIBODIES DAPI negative CD8 CD8 CD4 CD4

  12. Case 3 Dead Cells Kill Your Data Dead cells bind antibodies indiscriminately False positives! Scatter gating does not remove ALL dead cells Exclude dead cells with a viability dye DAPI, PI, ToPro3 Fixable live/dead dyes (fixed cells)

  13. Case 4 PRE-sort 24% GFP+ POST-sort 67% GFP+ Notes: -Cell line transfected with GFP -post-sort purity was poor -recovery was good (too good?) -bead test sort showed good purity Problem: Poor post-sort purity

  14. DOUBLE Trouble POST-sort GFP- HITCHHIKE WITH GFP+

  15. Case 4 DOUBLE Trouble Cells stick together Doublets Not removed by filtering Cause poor sort purity Give false double positive populations Width/Height and Area/Height pulse gating doesn t remove all doublets Pulse Width Pulse Width Pulse Width Cell preparation is key! Some adhesion molecules require Ca++/Mg++ Add EDTA DNA released from dead cells is sticky Stop killing your cells Add DNAse

  16. Case 5 CD45RO TR-PE Notes: -Single color controls: -CD3 TR-PE -CD57 PE -controls are as bright as experimental stain CD57 PE Problem: Improper compensation Data courtesy of Mario Roederer

  17. Compensation Controls are KEY Correct compensation TR-PE SPILLOVER DIFFERS BY VIAL Single color controls: -CD45RO TR-PE -CD57 PE Single color controls: -CD3 TR-PE -CD57 PE CD45RO TR-PE CD45RO TR-PE CD57 PE CD57 PE

  18. Case 5 Compensation Controls are KEY RULE #1 Stain single color control with same fluorochrome Each lot of tandem dye is different! GFP, FITC, A488, CFSE are all green but have different spectra GFP stain FITC stain Emission spectra of GFP and FITC Orange Orange Green Green

  19. Case 6 Notes: -Single color controls: Cy7PE Single IFNg Cy7PE 103 104 105 IFNg Cy7PE APC Single 103 104 105 IL4 APC IL4 APC Problem: Improper compensation Data courtesy of Mario Roederer

  20. CompensationControls are KEY Compensated sample Cy7PE single CONTROL NOT AS BRIGHT AS SAMPLE IFNg Cy7PE IL-4 APC APC single

  21. Case 6 Compensation Controls are KEY RULE #2 Single color controls must be as bright or brighter than sample

  22. Case 7 PE CDY Notes: -Single color controls: -FITC CDX bound to beads -PE CDY bound to cells - Universal Negative = unstained cells -Single color controls = bright as sample FITC CDX Problem: Improper compensation

  23. Compensation Controls are KEY AUTOFLUORESCENCE DIFFERS NEG AND POS POPULATION CELLS BEADS PE Single Control CELLS Universal Negative FITC Single Control PE CDY PE PE FITC FITC CDX FITC

  24. Case 7 Compensation Controls are KEY RULE #3 Match autofluorescence of pos and neg pops for each color Make FSC vs SSC gate small Uniform autofluorescence Be wary of universal negative

  25. Compensation Rules RULE #1 Same fluorochrome RULE #2 As bright or brighter RULE #3 Autofluorescence Additional rules: Treat controls same as samples Record enough events

  26. Case 8 Unstained PRE-sort POST-sort Cy7PE: CD20 Cy7PE: CD20 Cy7PE PE PE: CD8 PE: CD8 Notes: -Compensation is correct -bead test sort showed good purity Problem: Poor post-sort purity of DP population

  27. Gate it dont debate it! SPREADING DUE TO MEASUREMENT ERROR Fully Stained Cy7PE FMO Cy7PE: no stain Cy7PE: CD20 PE: CD8 PE: CD8

  28. Case 8 Fluorescence Minus One Gate it don t debate it! Spreading due to measurement error Populations spread out in multicolor experiments Cannot set gates on unstained FMO = FluorescenceMinus One Leave out one reagent at a time Cy7PE FMO Cy7PE - No Stain +_ +_ + _ + _ + _ Spreading due to measurement error PE - CD8

  29. Case 9 Cells Stain 100 Unstimulated no stain Stimulated MIP1beta stained 80 60 23% 40 Notes: -FcR blocked -single color experiment -antibody titered correctly 20 0 102 103 104 105 0 PE detector Problem: MIP1beta % is too high

  30. Gate it dont debate it! Cells Stain Unstimulated no stain Stimulated MIP1beta stained Stimulated no stain DIFFERENT AUTOFLUORESCENCE Proper Gate 100 80 5% % of Max 60 23% 40 20 0 PE detector PE detector

  31. Case 9 Gating Controls - Autofluorescence Gate it don t debate it! Gating control MUST match autofluorescence of sample

  32. Case 10 Untransfected GFP transfected # Cells Notes: -single color experiment -microscope showed single cell prep -bead test sort showed good purity -recovery is good GFP Problem: Poor purity

  33. Histograms Hide Data HISTOGRAMS MASK SEPARATION BETWEEN AUTOFLUORESCENCE AND GFP FLUORESCENCE Negative Control GFP sample # Cells # Cells GFP GFP PE PE GFP GFP

  34. Case 10 Histograms Hide Data Dot Plots distinguish high autofluorescence and GFP fluorescence Autofluorescence is fairly constant in neighboring parameters Autofluorescence = emission from many chemicals in the cell Emission spectra

  35. Summary Titrate to make data great! Fc Fc Block to make data Rock Dead Cells Kill Your Data DOUBLE Trouble Compensation Controls are KEY Gate it don t debate it! Histograms Hide Data

  36. Summary Crime doesn t pay bad data = bad science Follow 7 Practical Rules to avoid flow felonies An experiment is not always salvageable rehabilitation may not be possible but can identify problems to avoid in future BAD DATA STOPPERS

  37. Acknowledgements STEMCELL Technologies Hank Pletcher Jan Hendrikx Tim Bushnell Mario Roederer

  38. Part 2 Use forensic flow cytometry to investigate the flow crimes

  39. CD3 APC CD4 PE-Cy7 CD8 PE Experimental Sample What is missing? GFP ? Unstained Cells GFP - - - - Single Color GFP Cells CD3 FITC - - - - - CCR7 APC (low expressing) - - - Single Color APC Cells Single Color PE-Cy7 Cells - - CD8 PE-Cy7 - - Single Color PE Beads - - - CD8 PE - Single Color ? Cells - - - - ? Cells What type of controls are missing? Cells Cells Cells Can a universal negative control of be used when compensating? If yes should it be cells or beads?

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