Slides - CFAR-CIG

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“ Measuring Antigen Specific Tcells using Surface and

Intracellular Staining

Polychromatic Flow Cytometry ”

4 th Annual CFAR Flow Cytometry Wet-Workshop

13-17 October, 2013

Janet Staats

Flow Cytometry Core Facility

Center for AIDS Research

Duke University Medical Center

E-mail: jotti@duke.edu

Workshop Overview

• ICS Assay

• Instrument Qualification

• Reagent Qualification

– Titration

– Spillover

– Panel Development / Assay Qualification

• Operator Qualification

– Training

– Proficiency Testing

• Data annotation

• Data Analysis

– Compensation

– Gating

– Back-gating

– Uniform/Standardized Gating

• Bioinformatics and Statistics

Workshop Overview

• ICS Assay

• Instrument Qualification

• Reagent Qualification

– Titration

– Spillover

– Panel Development / Assay Qualification

• Operator Qualification

– Training

– Proficiency Testing

• Data annotation

• Data Analysis

– Compensation

– Gating

– Back-gating

– Uniform/Standardized Gating

• Bioinformatics and Statistics

Memory CD4 T Cell Response to Ag

IL-2 IL-4

Rantes

Apoptosis

IFN g

TNF a

APC-T cell interactions

From H. Maecker

Cytokine/Chemokine expression

Proliferation/

Death

Duke University Medical Center

Ag

Whole protein

APC MHC

II

MHC I

CD4

CD4 +

T cell cytokines

Optimal peptide

T, B, or APC

MHC I

From H. Maecker peptide

CD8

CD8 +

CTL cytokines

Duke University Medical Center

Response to CMVpp65 Peptide Mix

CD4 pp65 protein

0.27% peptide mix

0.27%

A2 peptide

0.04%

CMV lysate

7.41%

CD8

0.19% 2.03% 1.14% 0.87%

From H. Maecker

15 a.a.

Peptide Mixes

CMV pp65: pool of 138 peptides

HIV p55: pool of 120 peptides

11 a.a.

Duke University Medical Center

Sampson Clinical Trial:

11-Color Maturation/Function Panel

Basic Subset Markers:

• CD3 (T-cells)

• CD4 (T-Helper Subset)

• CD8 (T-Suppressor Subset)

Exclusion Markers:

• CD14 (Monocytes)

• CD19 (B-cells)

• vAmine (Dead cell marker)

Maturational Markers:

• CD45RO

CD45RA

CD27

CD197 (CCR7)

• CD57

Functional Markers:

• CD107

• IFNg

• TNF a

• IL-2

Duke University Medical Center

Overview of 11-Color Assay

Monday

1. Thaw

Tuesday Wednesday

Thursday

- Friday

2. Stimulate

Brefeldin

Monensin

3. Surface Stain 4. Lyse/Fix

5. Permeabilize 6. IC Stain

7. Acquisition

8. Analysis

Wash Wash Wash

7+g+M+

M+ g+M+

Rest 6 hrs

6 h

CD107 cytokine lymphocyte erythrocyte

Costim

SEB

CMVpp65

Amine

CD45RA

CD197

Wash

CD107

CD3

CD4

CD8

IFN g

IL2

TNF

CD8 + CM Response

Duke University Medical Center

Workshop Overview

• ICS Assay

• Instrument Qualification

• Reagent Qualification

– Titration

– Spillover

– Panel Development / Assay Qualification

• Operator Qualification

– Training

– Proficiency Testing

• Data annotation

• Data Analysis

– Compensation

– Gating

– Back-gating

– Uniform/Standardized Gating

• Bioinformatics and Statistics

Instrument Performance:

Gel smeared on flow cell

Green E

Green C

Green A

Green D

Green B

10000

1000

100

10

1

0 200 400 voltage

600 800 1000

12

Instrument Performance:

Low Staining Index

Instrument Performance:

Variance in noise

Instrument Calibration:

Use of target channels

Instrument calibration vs biological variation

Note: instrument fluorescence detectors are set using established target channel values, allowable range <5% variance daily

Instrument calibration vs biological variation

1Mar13: DP06_008 9Nov12: 009 & 010 14Nov12: DP06_013 20Nov12: DP06_014 & 017

Instrument calibration vs

6Nov12: DP06_012 16Feb13: DP06_020 23Jan13: DP06_019

1Mar13: DP06_008 9Nov12: DP06_009 14Nov12: DP06_013 20Nov12: DP06_014

9Nov12: DP06_010 20Nov12: DP06_017

Note: instrument fluorescence detectors are set using established target channel values, allowable range <5% variance daily

Batch Processing Error

CD38 vs HLA-DR Staining on Ctrl 5L

28Feb08

5L CD8+

Lot 05262

10

5

1.01

5.8

10

4

10

5

1.18

04Marb08

5L CD8+

Lot 05262

5.8

10

4

06Mar08

5L CD8+

Lot 05262

10

5

1.11

7.2

10

4

10

5

1.11

11Mar08

5L CD8+

Lot 05262

6.94

10

4

10

3

0

10

5

21.2

0 10

2

10

3

10

4

<Green E-A>: CD38 PE

0.52

72

10

5

0.058

10

4

10

3

0

98.2

0 10

2

10

3

10

4

<Green E-A>: CD38 PE

1.17

10

5

10

3

10

3

0

10

5

22

0 10

2

10

3

10

4

<Green E-A>: CD38 PE

0.63

71

10

5

0.032

10

4

0

10

5

21.9

0 10

2

10

3

10

4

<Green E-A>: CD38 PE

69.8

10

5

0.8

0.014

10

4

10

3

0

10

5

20.1

0 10

2

10

3

10

4

<Green E-A>: CD38 PE

71.8

10

5

0.61

0.016

10

4

10

3

0

98.7

0 10

2

10

3

10

4

<Green E-A>: CD38 PE

0.63

10

5

10

3

0

98.9

0 10

2

10

3

10

4

<Green E-A>: CD38 PE

0.27

10

5

10

3

0

99

0 10

2

10

3

10

4

<Green E-A>: CD38 PE

0.39

10

5

Duke University Medical Center

Batch Processing Error

CD38 vs HLA-DR Staining on Ctrl 5L

10

5

1.05

26Feb08

5L CD8+

Lot 05262

5.38

10

4

28Feb08

5L CD8+

Lot 05262

10

5

1.01

5.8

10

4

10

3

0

10

5

29.4

64.1

0

0.16

10

3

10

4

<Green E-A>: CD38 PE

10

5

1.27e-3

10

4

10

3

0

10

5

21.2

0 10

2

10

3

10

4

<Green E-A>: CD38 PE

0.52

72

10

5

0.058

10

4

10

3

0

99.8

0

0.058

10

3

10

4

<Green E-A>: CD38 PE

10

5

10

3

0

98.2

0 10

2

10

3

10

4

<Green E-A>: CD38 PE

1.17

10

5

10

5

1.18

04Marb08

5L CD8+

Lot 05262

5.8

10

4

06Mar08

5L CD8+

Lot 05262

10

5

1.11

7.2

10

4

10

5

1.11

11Mar08

5L CD8+

Lot 05262

6.94

10

4

10

3

10

3

0

10

5

22

0 10

2

10

3

10

4

<Green E-A>: CD38 PE

0.63

71

10

5

0.032

10

4

0

10

5

21.9

0 10

2

10

3

10

4

<Green E-A>: CD38 PE

69.8

10

5

0.8

0.014

10

4

10

3

0

10

5

20.1

0 10

2

10

3

10

4

<Green E-A>: CD38 PE

71.8

10

5

0.61

0.016

10

4

10

3

0

98.7

0 10

2

10

3

10

4

<Green E-A>: CD38 PE

0.63

10

5

10

3

0

98.9

0 10

2

10

3

10

4

<Green E-A>: CD38 PE

0.27

10

5

10

3

0

99

0 10

2

10

3

10

4

<Green E-A>: CD38 PE

0.39

10

5

Duke University Medical Center

Workshop Overview

• ICS Assay

• Instrument Qualification

• Reagent Qualification

– Titration

– Spillover

– Panel Development / Assay Qualification

• Operator Qualification

– Training

– Proficiency Testing

• Data annotation

• Data Analysis

– Compensation

– Gating

– Back-gating

– Uniform/Standardized Gating

• Bioinformatics and Statistics

Titration: objective results

Titration: subjective results

Optimization using Spillover Assessments: Using

Titration Files to Assess Spreading Error

Blue

Laser

Violet

Laser

Red

Laser

Green

Laser

CD3AC (5ug/ml) Spillover assessment:

• After compensation CD3AC showed spilllover into Blue-B detector (FITC channel)

Violet G- CD3 AmCyan

Ottinger, et. al., Poster #28, 23rd Annual Clinical Cytometry Meeting (2008)

Mahnke, et. al. Clin Lab Med. 2007 September; 27(3): 469-v.

Lamoreaux, et. al., Nature Protocols 1, 1507-1516 (2006) on line 9 November 2006

Duke University Medical Center

Spillover Assessments:

CD3 AmCyan (5µg/mL) Spillover into CD27 (0.32µg/mL)

& CD57 FITC (1.8µg/mL)

Unstained

CD27

FITC

CD3

AmCyan

0.13

66.3

4.58

Blue B

Unstained

CD57

FITC

CD3

AmCyan

9.8e-4

20.5

0.047

• Spillover from CD3AC interferes with detection of dim CD27 pos cells

• Spillover from CD3AC does not interfere with detection of CD57

• Spillover is acceptable if it does not interfere with proper classification of events

• mAb concentration may be varied to reduce spillover as long as frequency is unaffected

Blue B

Duke University Medical Center

Tandems Degrade!

Maecker, et. al.

• Ice

• Dark

• Fix

• Controls

• 6 hours

Duke University Medical Center

Ship tandems at 4ºC

Panel Development: FS Test

Workshop Overview

• ICS Assay

• Instrument Qualification

• Reagent Qualification

– Titration

– Spillover

– Panel Development / Assay Qualification

• Operator Qualification

– Training

– Proficiency Testing

• Data annotation

• Data Analysis

– Compensation

– Gating

– Back-gating

– Uniform/Standardized Gating

• Bioinformatics and Statistics

Why is Reproducibility Important?

CFSE Standardization Results (13 EXPERT IM Labs):

Very high inter-laboratory variability.

High background in some laboratories.

Responses to Gag and Nef peptide pools were detected in HIV negative (control) donors!

Example Gag stimulation

HIV negative donor

60

50

40

30

20

10

0

1 2 3 4 5 6 7 8 9 1

Laboratory

Example CMVpp65 stimulation

CMV positive donor

40

30

20

10

0

70

60

50

1 2 3 4 5 6 7 8 9 1

Duke University Medical Center

Pe pt ide

An a ly z e r

CD 1 0 7 a +

I FN g+

I L2 +

M I P1 b+

TN Fa +

CD 1 0 7 a +

I FN g+

I L2 +

M I P1 b+

TN Fa +

Pe pt ide

JH E

0.08

0.04

0.02

1 .3 2

0 .1 9

0.01

0.02

0.03

0.02

0.05

JO

0.07

0.03

0.02

1.03

0.02

0.01

0.03

0 .0 6

0.02

0.07

N M

0.08

0.05

0.01

LAD

0.08

0 .0 8

0.03

0.96

0 .8 5

0.07

0.01

0.01

0.01

0.04

0.02

0.02

0.03

0.02

0 .0 9

0 .0 4

0.06

2 8 / 4 9 d

JY

0 .0 5

0.03

0.00

1.13

0.01

0.00

0.01

0.01

0.01

0.04

Spr e a d

0.03

0.05

0.02

0.47

0.18

0.01

0.02

0.05

0.08

0.03

An a ly z e r

CD 1 0 7 a +

I FN g+

JH E

0.76

1.57

0.12

I L2 +

M I P1 b+ 3 .4 3

TN Fa + 0 .5 9

CD 1 0 7 a + 0.02

I FN g+

0.20

I L2 +

0.23

M I P1 b+

0.03

TN Fa + 0.48

JO

0.74

1.62

0.10

2.99

0.38

0.02

0.22

N M

0.80

1.51

LAD

0 .8 8

0 .0 4

2 .2 1

0.38

2 .3 3

0.10

2.93

0.55

0.02

0 .0 4

0 .1 8

0.20

0.22

0.22

0.03

0.55

0 .1 9

0.48

JY

GAGB

0 .6 3

1.70

0.07

3.33

0.41

Spr e a d

0.25

0.82

0.08

1.22

0.21

0 .0 0

0 .1 6

0.19

0.02

0.55

0.04

0.06

0.06

0.17

0.12

0 .2 5

0.04

0 .6 0

Pe pt ide

An a ly z e r JH E

CD 1 0 7 a + 0.29

I FN g+

0.54

I L2 +

0.05

M I P1 b+ 2 .1 2

TN Fa +

CD 1 0 7 a +

I FN g+

I L2 +

M I P1 b+

TN Fa +

Pe pt ide

0 .3 1

0.01

0.06

0.10

0.01

0.17

An a ly z e r JH E

CD 1 0 7 a + 0.21

I FN g+

0.40

I L2 +

0.04

M I P1 b+

TN Fa +

CD 1 0 7 a +

I FN g+

I L2 +

M I P1 b+

TN Fa +

Pe pt ide

1 .6 0

0 .3 4

0.02

0.07

0.12

0.02

0.18

An a ly z e r

CD 1 0 7 a +

I FN g+

I L2 +

M I P1 b+

JH E

0.12

0.15

0.01

TN Fa +

CD 1 0 7 a +

I FN g+

I L2 +

M I P1 b+

TN Fa +

Pe pt ide

1 .5 8

0 .1 1

0.02

0.04

0.02

0.02

0.06

An a ly z e r

CD 1 0 7 a +

I FN g+

I L2 +

M I P1 b+

TN Fa +

CD 1 0 7 a +

I FN g+

I L2 +

M I P1 b+

TN Fa +

Pe pt ide

An a ly z e r

CD 1 0 7 a +

I FN g+

JH E

0.10

0.16

0.02

2 .8 1

0 .1 5

0.00

0.02

0.03

0.13

0.07

JH E

0.15

0.19

I L2 +

M I P1 b+

0 .0 2

2 .3 4

TN Fa + 0 .1 2

CD 1 0 7 a + 0.01

I FN g+

0.02

I L2 +

0.02

M I P1 b+

0.09

TN Fa + 0.05

JO

0.27

0.55

0.03

1.78

0.11

0.01

0.07

0 .1 2

0.01

0 .2 1

JO

0.21

0.37

0.03

1.29

0.14

0.01

0.09

0 .1 4

0.01

0 .2 4

JO

0.12

0.11

0.00

1.05

0.02

0.01

0 .0 7

0 .0 4

0.01

0.07

JO

0.10

0.15

0.01

1.20

0.03

0.00

0.03

0 .0 5

0.05

0 .0 9

JO

0.14

0.17

0.01

1.38

0.02

0.01

0.03

0.03

0.03

0.06

N M

0.30

0.50

0.01

1 .3 6

0.14

0.01

0.04

0.08

0.01

0.19

N M LAD

0.21

0 .2 5

0.38

0.01

0 .6 6

0.04

1 .0 4

0.17

0.01

0.05

0.10

0.01

0.20

N M

0.12

0.00

1.02

0.03

0.02

0.02

N M

0.11

0.17

0.01

1.37

0.06

0.01

N M

0.15

0.22

0.00

1.32

0.04

0.01

0.01

0.01

0.04

0.04

1.31

0.21

0.02

0.07

0.11

0 .0 5

0.17

LAD

0 .1 4

0.14

0 .2 2

0.01

1.12

0.04

0.03

0.04

0.02

0.02

0.01

0 .1 4

0.05

0.05

LAD

0.11

0 .2 2

0.01

1.36

0.06

0.01

0.02

0.02

0.02

0.04

0.05

0 .7 0

0.07

0.08

LAD

0.16

0 .2 8

0.01

1.42

0.05

0.02

0.02

0.02

0 .4 2

0.05

POLB1

LAD JY

0.29

0 .2 3

0 .7 6

0.05

0.53

0.01

1.68

0.16

1.91

0.09

0 .0 2

0.00

0.06

0 .0 3

0.09

0.09

0 .0 7

0.18

0.01

0.19

Spr e a d

0.07

0.26

0.04

0.76

0.22

0.01

0.04

0.04

0.06

0.04

POLB2

JY

0 .1 7

0.37

0.01

1.42

0.13

0 .0 0

0.04

0.10

0.01

0.20

JY

JY

JY

Spr e a d

0.08

0.29

0.03

0.56

0.21

0.01

0.06

0.04

0.05

0.07

EN V A

0 .1 0

0.11

0.00

1.14

0.01

0 .0 0

0.01

0.02

0.00

0.05

Spr e a d

0.04

0.11

0.01

0.56

0.10

0.03

0.05

0.02

0.14

0.02

EN V B

0 .0 8

0.14

0.00

1.40

0.03

0.00

0.02

0.02

0.02

0.06

Spr e a d

0.03

0.08

0.02

1.61

0.12

0.01

0.01

0.03

0.68

0.03

EN V C

0 .1 1

0.15

0.00

1.57

0.01

0.00

0.01

0.01

0.01

0.04

Spr e a d

0.05

0.13

0.01

1.02

0.11

0.02

0.02

0.02

0.41

0.02

Pe pt ide SEB

An a ly z e r JH E JO N M LAD JY

CD 1 0 7 a + 5.43

I FN g+

I L2 +

M I P1 b+

TN Fa +

5.25

5.32

5 .7 6

10.80 10.80

9.89

3 .0 5

2.92

16.20 14.00

6.27

6.06

1 .8 6

1 0 .8 0

5 .2 9

1 4 .3 0

2.20

14.70 15.40

6.52

4 .6 5

11.30

2.66

6.38

CD 1 0 7 a +

I FN g+

I L2 +

M I P1 b+

TN Fa +

0.33

6.59

0.26

6.65

0.34

6.33

0.40

6.56

0 .0 0

5.93

13.50 13.40 13.40

1 4 .5 0 1 4 .6 0

0.57

1 6 .4 0

0.57

0.47

24.20 23.00

1 .1 4

1 5 .9 0

0.41

22.60

Spr e a d

1.11

4.41

1.19

5.40

1.23

0.40

0.72

1.20

0.73

8.30

M SD * * - 1 * * + 1

0.07

0.01

0.06

0.05

0.02

0.02

0.01

0.01

0.00

1.06

0.18

0.88

0.10

0.01

0.09

0.17

0.03

0.14

0.01

0.01

0.00

1.63

0.67

0.96

0.06

0.05

0.01

0.00

0.00

0.00

0.02

0.01

0.02

0.03

0.01

0.02

0.09

0.07

0.03

1.24

0.07

0.07 -0.01

0.14

0.01

0.01

0.00

0.02

0.02

0.01

0.01

0.03

0.02

0.01

0.03

0.05

0.03

0.03 -0.01

0.06

0.05

0.01

0.04

0.06

M

0.76

0.09

0.67

1.75

0.33

1.41

0.09

0.03

0.05

2.98

0.48

2.50

0.46

0.10

0.36

0.02

0.01

0.01

0.20

0.03

0.17

0.22

0.02

0.19

0.24

0.06

0.07 -0.01

0.13

0.53

0.05

0.48

M SD * * - 1 * * + 1

0.28

0.03

0.25

0.58

0.10

0.47

0.03

0.02

0.01

1.77

0.28

1.49

0.16

0.09

0.08

0.01

0.01

0.00

0.05

0.01

0.04

0.10

0.01

0.08

0.30

0.68

0.05

2.05

0.25

0.01

0.07

0.11

0.02

0.03 -0.01

0.05

0.19

0.01

0.17

0.20

M

0.21

0.03

0.18

0.44

0.13

0.31

0.03

0.01

0.01

1.33

0.20

1.13

0.20

0.09

0.11

0.01

0.01

0.01

0.06

0.02

0.04

0.11

0.02

0.09

0.02

0.02

0.00

0.20

0.03

0.17

0.24

0.56

0.04

1.54

0.28

0.02

0.09

0.13

0.04

0.22

M SD * * - 1 * * + 1

0.12

0.01

0.11

0.13

0.15

0.05

0.10

0.01

0.00

0.00

1.18

0.23

0.95

0.04

0.04

0.00

0.02

0.01

0.01

0.04

0.02

0.01

0.19

0.01

1.41

0.08

0.03

0.06

0.02

0.01

0.02

0.03

0.04

0.06 -0.02

0.09

0.06

0.01

0.05

0.07

M

0.19

0.29 -0.10

0.48

0.07

0.01

0.06

0.08

M

SD * * - 1 * * + 1

0.85

2.08

0.12

3.46

0.56

0.03

0.22

0.58

SD * * - 1 * * + 1

SD * * - 1 * * + 1

0.11

0.20

0.02

2.29

0.11

0.01

0.03

0.04

SD * * - 1 * * + 1

0.14

0.02

0.12

0.20

0.05

0.15

0.01

0.01

0.00

1.61

0.42

1.19

0.05

0.04

0.01

0.01

0.01

0.00

0.02

0.01

0.01

0.16

0.25

0.01

2.03

0.09

0.02

0.03

0.02

0.01

0.01

0.03

0.12

0.17 -0.05

0.29

0.05

0.01

0.04

0.06

M SD * * - 1 * * + 1

5.28

0.40

4.88

5.69

11.42 1.69

9.73

13.11

2.54

0.50

2.04

3.04

14.22 2.08 12.14 16.30

6.10

0.49

5.62

0.27

0.16

0.11

6.59

0.42

6.41

0.30

6.12

6.71

13.88 0.61 13.27 14.49

0.63

0.29

0.34

0.92

20.42 3.95 16.47 24.37

Pe pt ide

An a ly z e r JH E

CD 1 0 7 a + 0.12

I FN g+

0.10

I L2 +

0.03

M I P1 b+

TN Fa +

1.60

0.14

CD 1 0 7 a +

I FN g+

I L2 +

M I P1 b+

TN Fa +

0.08

0.05

0.04

0.06

0.06

Pe pt ide

An a ly z e r JH E

CD 1 0 7 a + 0.93

I FN g+

2.08

I L2 +

0.14

M I P1 b+

4.16

TN Fa + 0.68

CD 1 0 7 a +

I FN g+

I L2 +

M I P1 b+

TN Fa +

0.09

0.25

0.23

0.11

0.48

Pe pt ide

An a ly z e r

CD 1 0 7 a +

I FN g+

I L2 +

M I P1 b+

TN Fa +

CD 1 0 7 a +

I FN g+

I L2 +

M I P1 b+

TN Fa +

Pe pt ide

JH E

0.35

0.74

0.05

2.59

0.28

0.04

0.08

0.10

0.03

0.17

An a ly z e r

CD 1 0 7 a +

I FN g+

I L2 +

M I P1 b+

TN Fa +

CD 1 0 7 a +

I FN g+

I L2 +

M I P1 b+

TN Fa +

Pe pt ide

JH E

0.30

0.61

0.05

2.00

0.34

0.06

0.10

0.12

0.03

0.18

JO

0.12

0.07

0.03

1.10

0.02

0.07

0.10

0.07

0.07

0.07

JO

0.84

1.77

0.11

3.16

0.41

0.11

0.37

0.27

0.21

0.63

JO

0.32

0.60

0.04

1.86

0.11

0.05

0.13

0.13

0.05

0.22

JO

0.27

0.45

0.03

1.37

0.15

0.05

0.17

0.15

0.05

0.24

Sp r e a d

0.00

0.03

0.01

0.50

0.12

0.01

0.05

0.03

0.02

0.02

0.73

0.17

0.01

0.05

0.03

0.02

0.05

0.16

0.02

0.63

0.19

0.01

0.07

0.03

0.01

0.06

2 8 / 4 9 d

Sp r e a d

0.09

0.31

0.03

1.00

0.27

0.02

0.12

0.04

0.10

0.15

Sp r e a d

0.03

0.14

0.01

Sp r e a d

0.03

M

0.03

1.35

0.08

GAGB

SD * * - 1 * * + 1

0.12

0.00

0.12

0.08

0.02

0.06

0.00

0.35

0.08

0.03

1.00

0.00

0.07

0.00

0.07

0.07

0.03

0.04

0.06

0.02

0.03

0.06

0.01

0.05

0.06

0.01

0.05

0.12

0.10

0.03

1.70

0.16

0.08

0.10

0.08

0.08

0.08

M SD * * - 1 * * + 1

0.89

0.06

0.82

1.93

0.22

1.71

0.95

2.14

0.13

0.02

0.10

3.66

0.71

2.95

0.55

0.19

0.35

0.10

0.01

0.09

0.31

0.08

0.23

0.25

0.03

0.22

0.16

0.07

0.09

0.56

0.11

0.45

0.15

4.37

0.74

0.11

0.39

0.28

0.23

0.66

POLB1

M SD * * - 1 * * + 1

0.34

0.02

0.31

0.36

0.67

0.10

0.57

0.04

0.01

0.03

2.23

0.52

1.71

0.20

0.12

0.07

0.04

0.00

0.04

0.11

0.03

0.07

0.11

0.02

0.09

0.04

0.01

0.02

0.20

0.04

0.16

POLB2

0.77

0.05

2.74

0.32

0.05

0.14

0.14

0.05

0.23

M SD * * - 1 * * + 1

0.29

0.02

0.26

0.31

0.53

0.11

0.42

0.04

0.01

0.03

1.69

0.45

1.24

0.64

0.06

2.13

0.25

0.13

0.11

0.06

0.01

0.05

0.14

0.05

0.09

0.14

0.02

0.11

0.04

0.01

0.03

0.21

0.04

0.17

0.38

0.06

0.18

0.16

0.05

0.25

An a ly z e r

CD 1 0 7 a +

I FN g+

I L2 +

JH E

0.16

0.20

0.02

M I P1 b+

TN Fa +

1.88

0.10

CD 1 0 7 a + 0.07

I FN g+

0.07

I L2 +

0.03

M I P1 b+

0.06

TN Fa + 0.06

Pe pt ide

An a ly z e r

CD 1 0 7 a +

I FN g+

I L2 +

M I P1 b+

TN Fa +

JH E

0.19

0.21

0.02

3.21

0.12

CD 1 0 7 a + 0.07

I FN g+

I L2 +

M I P1 b+

TN Fa +

0.04

0.04

0.23

0.07

JO

0.17

0.15

0.01

1.14

0.02

0.06

0.11

0.04

0.05

0.07

JO

0.16

0.17

0.02

1.36

0.03

0.06

0.06

0.06

0.12

0.09

Sp r e a d

0.01

0.05

0.01

0.74

0.08

0.02

0.04

0.01

0.01

0.01

Sp r e a d

0.03

0.04

0.01

1.85

0.09

0.00

0.02

0.02

0.11

0.02

EN V A

M SD * * - 1 * * + 1

0.17

0.01

0.16

0.17

0.18

0.04

0.14

0.01

0.00

0.01

1.51

0.52

0.99

0.06

0.06

0.00

0.06

0.09

0.03

0.06

0.07

EN V B

0.01

0.03

0.01

0.01

0.01

0.05

0.06

0.02

0.05

0.06

0.21

0.02

2.03

0.12

0.08

0.12

0.04

0.06

0.08

M SD * * - 1 * * + 1

0.18

0.02

0.15

0.20

0.19

0.03

0.16

0.02

0.00

0.02

2.29

1.31

0.98

0.08

0.06

0.01

0.22

0.03

3.59

0.14

0.06

0.00

0.06

0.05

0.01

0.04

0.05

0.01

0.03

0.18

0.08

0.10

0.07

0.01

0.07

0.07

0.07

0.06

0.25

0.08

Pe pt ide

An a ly z e r JH E

CD 1 0 7 a + 0.19

I FN g+

0.23

I L2 +

0.02

M I P1 b+

2.68

TN Fa + 0.10

CD 1 0 7 a +

I FN g+

I L2 +

M I P1 b+

TN Fa +

0.06

0.03

0.03

0.14

0.05

Pe pt ide

An a ly z e r

CD 1 0 7 a +

I FN g+

I L2 +

M I P1 b+

TN Fa +

CD 1 0 7 a +

I FN g+

I L2 +

M I P1 b+

TN Fa +

JO

0.19

0.18

0.01

1.49

0.02

0.06

0.06

0.04

0.08

0.06

JH E

5.66

JO

5.40

12.20 11.60

2.86

2.93

17.40 14.90

6.88

6.37

0.39

6.64

0.32

6.85

Sp r e a d

0.26

0.60

0.07

2.50

0.51

0.07

0.21

14.40 14.70

14.70

0.81

0.86

0.05

16.20 24.20

8.00

Sp r e a d

0.00

0.05

0.01

1.19

0.08

0.00

0.03

0.01

0.06

0.01

EN V C

M SD * * - 1 * * + 1

0.19

0.00

0.19

0.21

0.04

0.17

0.19

0.24

0.01

0.00

0.01

2.09

0.84

1.24

0.06

0.06

0.00

0.06

0.00

0.05

0.05

0.02

0.03

0.03

0.01

0.02

0.11

0.04

0.07

0.06

0.01

0.05

0.02

2.93

0.12

0.06

0.07

0.04

0.15

0.06

SEB

M SD * * - 1 * * + 1

5.53

0.18

5.35

5.71

11.90 0.42 11.48 12.32

2.90

0.05

2.85

2.94

16.15 1.77 14.38 17.92

6.63

0.36

6.26

6.99

0.36

0.05

0.31

6.75

0.15

6.60

0.40

6.89

14.55 0.21 14.34 14.76

0.84

0.04

0.80

0.87

20.20 5.66 14.54 25.86

Intra-Operator

Comparison

ICS Proficiency Testing

Results: March 2007

Duke University Medical Center

History of Flow-based

Proficiency/Standardization Efforts

Duke University Medical Center

Workshop Overview

• ICS Assay

• Instrument Qualification

• Reagent Qualification

– Titration

– Spillover

– Panel Development / Assay Qualification

• Operator Qualification

– Training

– Proficiency Testing

• Data annotation

• Data Analysis

– Compensation

– Gating

– Back-gating

– Uniform/Standardized Gating

• Bioinformatics and Statistics

Improperly annotated data

Workshop Overview

• ICS Assay

• Instrument Qualification

• Reagent Qualification

– Titration

– Spillover

– Panel Development / Assay Qualification

• Operator Qualification

– Training

– Proficiency Testing

• Data annotation

• Data Analysis

– Compensation

– Gating

– Back-gating

– Uniform/Standardized Gating

• Bioinformatics and Statistics

How would you gate?

Markers:

CD3

CD4

CD8

IL-2+IFNg

(FSC)

(SSC)

Duke University Medical Center

ICS Standardization

Conclusions

• ICS assays can be performed by multiple laboratories using a common protocol with good inter-laboratory precision (<20% C.V.), that improves as the frequency of responding cells increases.

• Gating is a significant source of variability, and can be reduced by centralized analysis and/or use of standardized gating.

• Cryopreserved PBMC may yield slightly more consistent results than shipped whole blood.

• Use of pre-aliquoted lyophilized reagents for stimulation and staining can reduce variability.

BMC Immunology 2005, 6:13 http://www.biomedcentral.com/1471-2172/6/13

Duke University Medical Center

Gating bias in proficiency panel results

Unstim

0.02

%

CEF

0.01

%

CMV pp65

0.16

%

0.03

%

0.02

%

0.17%

0.02

%

0.03

%

0.21

%

CD4 FITC

Duke University Medical Center

Compensation:

False Positive CD4 Response to CEF Pepmix mSA

EOLm

Compensation:

False Positive CD4 Response to CEF Pepmix

Backgating:

Include CD3dim+ cells in gate

Backgating:

Include CD8dim+ in gate

C (3.1%) B (3.4%) J (4.8%) A (6.8%)

K (9.4%) D (10.2%) H (10.2%) F (10.5%)

I (12.7%) E (13.4%) G (16.9%) • Here labs are listed in order of their total TNF a response. It is visually apparent that, while all labs had overcompensation, it is worst in labs with the lowest cytokine responses.

C (3.1%)

K (9.4%)

B (3.4%) J (4.8%)

10

5

10

4

10

3

0

D (10.2%)

0 10

3

10

<Alexa 700-A>: CD3

4

H (10.2%)

10

5

A (6.8%)

F (10.5%)

I (12.7%) E (13.4%) G (16.9%) • Here labs are listed in order of their total TNF a response. It is visually apparent that, while all labs had overcompensation, it is worst in labs with the lowest cytokine responses.

CIC ICS Gating Panel

110 labs participate d and there were

110 different approache s to gating

CIC ICS Gating Panel

McNeil et. a. Cytometry A.

2013 Aug;83(8):728-38

Reproducible analysis allows us to measure an expansion of CD4+ CM cells post vaccination with some degree of confidence

Pre-Vaccination Post-Vaccination

17% 8%

17%

33%

2%

2%

27%

CM

21%

EM

25%

TE N E

48%

Duke University Medical Center

Would you know a positive if you saw one?

2xSD?

>0.05%?

Outside

Normal Range

RCV?

“Another aspect of analysis of ICS experiments that affects reproducibility across laboratories is the question of how to define a positive response. Criteria for determining a positive response can range from simply subtracting background to twofold, threefold, or even fourfold above background to more complex statistical analyses

Roederer. Cytometry Part A, 73A:384-385 (2008)

Horton et. al. J Immuno Methods, 323:39-54 (2007)

Maecker et. al. Cytometry Part A, 69A:1037-1042 (2006)

Comin-Anduix et. al. Clin Cancer Res, 12(1):107-116 (2006)

Duke University Medical Center

Workshop Overview

• ICS Assay

• Instrument Qualification

• Reagent Qualification

– Titration

– Spillover

– Panel Development / Assay Qualification

• Operator Qualification

– Training

– Proficiency Testing

• Data annotation

• Data Analysis

– Compensation

– Gating

– Back-gating

– Uniform/Standardized Gating

• Bioinformatics and Statistics – Death-by-excel!

Assay Complexity

Panel

Description

#Colors

# Gating Generations

# Endpoints/Sample

Endpoint Increase Over 4-Color (Complexity of Analysis)

Avg File Size/Tube (mb)

Avg Size/Sample (mb)

Annual Storage in TB (based on 6003 tubes/yr)

Acute

Maturation &

Activation

4

3

18

0.00

0.20

1.20

0.01

Roche

Maturation &

Quantitative

Activation

9

6

149

727.78

20.37

40.74

0.24

Sampson

Maturation &

ICS

12

8

1440

7900.00

91.86

367.44

2.21

Duke University Medical Center

Endpoints for 11-Color Maturation/Function Panel

DEATH BY EXCEL ……..

Basic (3)

CD4 + CD8 -

CD4 + CD8 +

CD4 CD8 +

Maturation (5) Function

Naïve

Central Memory

Effector Memory

Effector

Terminal Effector

CD107

IFNg

IL-2

TNFa

Boolean (16)

7+g+2+T+

7+g+2+T-

7+g+2-T+

7+g-2+T+

7-g+2+T+

7+g+2-T-

7+g-2+T-

7+g-2-T+

7-g+2+T-

7-g+2-T+

7-g-2+T+

7+g-2-T-

7-g+2-T-

7-g-2+T-

7-g-2-T+

7-g-2-T-

Basic (3) X Maturation (5) X Boolean (16) = 240/stim

X 3 Stimulations/Sample (CoStim, SEB, CMVpp65) = 720 Endpoints/Sample

720 Endpoints/Sample x 200 Samples (192 Participants + 8 Controls) = 144,000 Endpoints/Trial

Note 1: Frequency of parent only, reporting units of #cells/µL doubles the total EP/trial

Duke University Medical Center

Data Annotation -

for all 143,280 data points!

Study ID

Method

Assay Name

Batch #

Operator

Sample ID

Visit ID

Accession #

% Viable (Flow)

% Viable (Guava)

Recovery

Checking:

X1 - for electronic data

X3 - for manual entry

Requires STRONG statistical support:

• Quickly exceeds limits of excel

Format data for statistical analysis

• FJ: column (gates) vs row (file)

• CSV: column (identifiers) vs row (single value)

• Check data

• Manual check: 8sec/value x 143280 = 49 days!!!

CD4 count

CD8 count

Gate Name (Parameter Names)

Tube Name

File Name

Error Code (1-11)

Duke University Medical Center

Specimen processing matters

N=60 samples, stained across 5 batches

Duke University Medical Center

Acknowledgements

VRC

Steve Perfetto

Laurie Lamoureaux

Mario Roederer

EQAPOL

Duke CFAR

Kent Weinhold

Jennifer Enzor

Twan Weaver

Cliburn Chan

Scott White Duke Tisch Brain Tumor Center

Gary Archer

Duane Mitchell

John Sampson

CVC

Sylvia Janetski

Lisa McNeil

Duke University Medical Center

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