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Massively Multi-parametric Flow Cytometry with Mass Spectrometer Detection Scott D. Tanner , Vladimir I. Baranov, Dmitry R. Bandura, Olga Ornatsky

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Page 1: Massively Multi-parametric Flow Cytometry with Mass Spectrometer Detection Scott D. Tanner, Vladimir I. Baranov, Dmitry R. Bandura, Olga Ornatsky

Massively Multi-parametric Flow Cytometry with Mass Spectrometer Detection

Scott D. Tanner, Vladimir I. Baranov, Dmitry R. Bandura, Olga Ornatsky

Page 2: Massively Multi-parametric Flow Cytometry with Mass Spectrometer Detection Scott D. Tanner, Vladimir I. Baranov, Dmitry R. Bandura, Olga Ornatsky

0

2

4

6

8

10

12

0 2 4 6 8 10 12

Eu153

Ho

16

5

Flow Cytometer with (elemental) Mass Spectrometer Detection

•advantage

•metal-labeled tags

•bulk (average) assay

•cytometry (individual cell) assay

•bead assay

NN

O

O O

O

Au

Page 3: Massively Multi-parametric Flow Cytometry with Mass Spectrometer Detection Scott D. Tanner, Vladimir I. Baranov, Dmitry R. Bandura, Olga Ornatsky

Fluorophores: signal overlap limits multiplex capability

0

10

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380

403

426

449

472

495

518

541

564

587

610

633

656

679

702

725

748

771

794

wavelength

inte

nsity

Page 4: Massively Multi-parametric Flow Cytometry with Mass Spectrometer Detection Scott D. Tanner, Vladimir I. Baranov, Dmitry R. Bandura, Olga Ornatsky

Fluorophores: dynamic range challenge

0

20

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80

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120

140

380

403

426

449

472

495

518

541

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587

610

633

656

679

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725

748

771

794

wavelength

inte

nsity

1.0

5.0

0.5

0.8

2.0

0.4

0.3

0.6

Page 5: Massively Multi-parametric Flow Cytometry with Mass Spectrometer Detection Scott D. Tanner, Vladimir I. Baranov, Dmitry R. Bandura, Olga Ornatsky

the ideal reporter tagnon-degradablenon-reactivenon-interferingmany “colors”completely independent detection channelsquantitative …

a close approximation:

Ch

10

Ch

20

Ch

30

Ch

40

Ch

50

Ch

60

Log

(sig

nal)

stable isotope metal atomsmeasured by mass spectrometry

10-6 abundance sensitivity

dynamic range of 108

Page 6: Massively Multi-parametric Flow Cytometry with Mass Spectrometer Detection Scott D. Tanner, Vladimir I. Baranov, Dmitry R. Bandura, Olga Ornatsky

ICP-MS detection of element-tagged cells

sample

auxiliary gas

plasma gas

~ 7500 K~ 1015 e-/cm3

sun’s surface

element labeledreagents

rf energy in

Page 7: Massively Multi-parametric Flow Cytometry with Mass Spectrometer Detection Scott D. Tanner, Vladimir I. Baranov, Dmitry R. Bandura, Olga Ornatsky

Potentially suitable elements and (unique mass) stable isotopes

24 elements: 67 isotopes

La1

Hf5

Re2

Ru6

Rh1

Ir2

Pd4

Pt4

Ag2

Au1

In2

Ce1

Pr1

Nd5

Sm6

Eu2

Gd5

Tb1

Dy4

Ho1

Er4

Tm1

Yb5

Lu1

13 lanthanides: 37 unique isotopes

Page 8: Massively Multi-parametric Flow Cytometry with Mass Spectrometer Detection Scott D. Tanner, Vladimir I. Baranov, Dmitry R. Bandura, Olga Ornatsky

polymer produced in collaboration with Prof. Mitch Winnik, Dep’t Chemistry, U of T

SC(=S)Ph

chelator produced in collaboration with Prof. Mark Nitz, Dep’t Chemistry, U of T

chelator

SH

NN

O

O O

O

isotope tag

linker and antibody

NN

O

O O

O

synthesis and use of metal-labeled tags

Page 9: Massively Multi-parametric Flow Cytometry with Mass Spectrometer Detection Scott D. Tanner, Vladimir I. Baranov, Dmitry R. Bandura, Olga Ornatsky

Antibody labeling protocol

reduce –S-S- groups

add Ln3+

ions

N

O

O

NOO

*

R

n

metal-tagged antibody

Ln(III)

ligands for Ln3+

attach polymer

S N

O

O

R N

O

O

*

n

antibody

reduce –S-S- groups

add Ln3+

ions

N

O

O

NOO

*

R

n

N

O

O

NOO

*

R

n

metal-tagged antibody

Ln(III)

ligands for Ln3+

attach polymer

S N

O

O

R N

O

O

*

n

SS N

O

O

R N

O

O

*

n

N

O

O

R N

O

O

*

n

antibody

Page 10: Massively Multi-parametric Flow Cytometry with Mass Spectrometer Detection Scott D. Tanner, Vladimir I. Baranov, Dmitry R. Bandura, Olga Ornatsky

Primary anti-CD33 antibodies labeled with lab. tag-Eu and reacted with MBA-4 cells

comparison tagging reagents

MAXPAR™ (primary tags)

commercial (secondary tags)

blank (commercial 20 tags)

Page 11: Massively Multi-parametric Flow Cytometry with Mass Spectrometer Detection Scott D. Tanner, Vladimir I. Baranov, Dmitry R. Bandura, Olga Ornatsky

Time /s0 100 200 300 400 500

Rh

Sig

nal /

Vol

ts

0

1

2

3

Rh+ Au+ cell 1

Rh+ Au+ cell 2

Rh+ Au+ cell 3

Rh+ Au+ cell 4

Rh+ Au+ cell 5

average of 4Rh- Au+ cells

Time /s0 100 200 300 400 500

Au

Sig

nal /

Vol

ts

0.0

0.2

0.4

Rh+ Au+ cell 6

Rh+ Au+ cell 7

Rh+ Au+ cell 8

Buffer after Au cells

a bCellular Enumeration Using Rh DNA Intercalator

[Rh(phi)2bpy]3+

Page 12: Massively Multi-parametric Flow Cytometry with Mass Spectrometer Detection Scott D. Tanner, Vladimir I. Baranov, Dmitry R. Bandura, Olga Ornatsky

Analytical Protocol

triplicate tubes

live cells

CD45-Eu

30 min

1) wash PBS

2) centrifuge

3) fix 3.7% formaldehyde

4) stain metal-containing DNA intercalator

For bulk (solution) analysis:5) digest 37% HCl6) add 1.00 ppb Ir

Analyze by conventional ICP-MS

Normalize signals to Ir and Rh

For cytometric analysis:5) individual cell injection

Analyze by fast ICP-MS

Normalize signals Rh

Page 13: Massively Multi-parametric Flow Cytometry with Mass Spectrometer Detection Scott D. Tanner, Vladimir I. Baranov, Dmitry R. Bandura, Olga Ornatsky

KG1anormalized response (Ir, Rh, bkgd subtracted)10-1100101102mixCD33CD34CD38CD45CD54

CD33 PrCD34 TbCD38 HoCD45 EuCD54 Tm

THP-1normalized response (Ir, Rh, bkgd subtracted)10-1100101102mixCD33CD34CD38CD45CD54

CD33 PrCD34 TbCD38 HoCD45 EuCD54 Tm

A

B

.tagged antibodies

CD54-TmCD45-EuCD38-Ho (THP-1 higher expression)CD34-Tb (THP-1 lower expression)CD33-Pr (KG-1a low expression)

Individual and 5-plex bulk assaysKG1a

THP-1

KG1a, a primitive progenitor cell, shows 500x lower expression of

CD33 than THP-1, a more differentiated cell type

Angew. Chem. Int. Ed., 46, 1–5 (2007)

Page 14: Massively Multi-parametric Flow Cytometry with Mass Spectrometer Detection Scott D. Tanner, Vladimir I. Baranov, Dmitry R. Bandura, Olga Ornatsky

x400 20m

Cell Differentiation with (PMA, 72h) 

PMA, 4α-Phorbol 12-Myristate 13-Acetate

10 surface markers + Rh intercalator for cell number normalization

x400 20m

DMSO 50 ng/ml PMA

THP-1

KG1a

Page 15: Massively Multi-parametric Flow Cytometry with Mass Spectrometer Detection Scott D. Tanner, Vladimir I. Baranov, Dmitry R. Bandura, Olga Ornatsky

147Sm145Nd

142Nd

174Yb

146Nd

139La

170Er

141Pr

165Ho

151Eu144Nd

176Yb

169Tm

164Dy

159Tb

171Yb

152Sm

153Eu

166Er

156Gd

CD19

CD3

CD64

CD15

CD20HLA-DR

CD14

CD4

CD123

CD117

CD7

CD56

CD33

CD38

CD44CD13

CD49d

CD34

CD36

CD45

10 0 10 1 10 2 10 3

20-plex cell surface marker2 leukemic cell lines and

one patient sample

characteristic of undifferentiated

cells

THP-1 FAB M5

KG1a FAB M0

BCLQ Patient M5a

isotopically enriched tags

Page 16: Massively Multi-parametric Flow Cytometry with Mass Spectrometer Detection Scott D. Tanner, Vladimir I. Baranov, Dmitry R. Bandura, Olga Ornatsky

Flow - ICP-TOF-MS

every cell ?

or pre-selected cells ?

Page 17: Massively Multi-parametric Flow Cytometry with Mass Spectrometer Detection Scott D. Tanner, Vladimir I. Baranov, Dmitry R. Bandura, Olga Ornatsky

photo (“rear”) of Research Prototype CyTOF™ instrument

Page 18: Massively Multi-parametric Flow Cytometry with Mass Spectrometer Detection Scott D. Tanner, Vladimir I. Baranov, Dmitry R. Bandura, Olga Ornatsky

Phase 0 CyTOF™ Prototype

Page 19: Massively Multi-parametric Flow Cytometry with Mass Spectrometer Detection Scott D. Tanner, Vladimir I. Baranov, Dmitry R. Bandura, Olga Ornatsky

real time screen capture during data acquisitionKG-1a cellsfixed, Ir- intercalator CD7-139La CD13-144NdCD44-151EuCD45-159TbCD38-165Ho CD34-169Tm

m/z 139 144 151 159 165 169 191 193

Time Of Flight (mass)

scan

nu

mb

er (@12

s)

Page 20: Massively Multi-parametric Flow Cytometry with Mass Spectrometer Detection Scott D. Tanner, Vladimir I. Baranov, Dmitry R. Bandura, Olga Ornatsky

Yb

175.

9

Yb 175.9

Yb 175.9

Yb 175.9

Yb 175.9

Yb 175.9

Yb 175.9

Yb 175.9

Yb 175.9

fixed, Ir- intercalatorCD7-139La, CD13-144Nd,CD44-151Eu,CD45-159Tb,CD38-165Ho, CD34-169TmCD49d-176Yb

KG-1a cells multiplex detectionAugust 3, 2007research bread-board

Page 21: Massively Multi-parametric Flow Cytometry with Mass Spectrometer Detection Scott D. Tanner, Vladimir I. Baranov, Dmitry R. Bandura, Olga Ornatsky

0

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Pr141

Eu

15

1

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0 2 4 6 8 10 12

Pr141

Eu

153

0

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12

0 2 4 6 8 10 12

Pr141

Tb

159

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6

8

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12

0 2 4 6 8 10 12

Pr141

Ho

16

5

0

2

4

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8

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12

0 2 4 6 8 10 12

Pr141

Tm

16

9

0

2

4

6

8

10

12

0 2 4 6 8 10 12

Eu151

Eu

153

0

2

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12

0 2 4 6 8 10 12

Eu151

Tb

159

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Eu151

Ho

16

5

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0 2 4 6 8 10 12

Eu151

Tm

16

9

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0 2 4 6 8 10 12

Eu153

Tb

159

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0 2 4 6 8 10 12

Eu153

Ho

16

5

0

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0 2 4 6 8 10 12

Eu153

Tm

16

9

0

2

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8

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12

0 2 4 6 8 10 12

Tb159

Ho

16

5

0

2

4

6

8

10

12

0 2 4 6 8 10 12

Tb159

Tm

16

9

0

2

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12

0 2 4 6 8 10 12

Ho165

Tm

16

9

151Eu

153Eu

159Tb

165Ho

169Tm

2-D plots for DTPA-metal labeled beads measured with ICP-MS-based cytometer for mixture of two bead types.

Ho, Tm beads(total 327 events)

Pr,Eu,Tb beads(total 461 events)

151Eu 153Eu 159Tb 165Ho141Pr

Page 22: Massively Multi-parametric Flow Cytometry with Mass Spectrometer Detection Scott D. Tanner, Vladimir I. Baranov, Dmitry R. Bandura, Olga Ornatsky

m/z

m/z

O

AuGene A

Probe A

O

AuGene B

Probe B

Cell mRNA cDNA cDNA-Au(RT-PCR) (labeling)

(labeling)

mRNA-Au

0.8-3 mm

Polystyrene beads

Ru Rh

Dy

Ru

Ce

Gd

Au

Au

Next: massively multiplexed bead assay

30,000 distinguishable beads = 30-fold redundancy assay for

1000 genes@ 1kHz = 30 seconds

Page 23: Massively Multi-parametric Flow Cytometry with Mass Spectrometer Detection Scott D. Tanner, Vladimir I. Baranov, Dmitry R. Bandura, Olga Ornatsky

http:/www/uhnres.utoronto.ca/studies/stemspec

MAXPAR™ reagents CyTOF™ analyzer

http://www.DVSsciences.com

[email protected]

Page 24: Massively Multi-parametric Flow Cytometry with Mass Spectrometer Detection Scott D. Tanner, Vladimir I. Baranov, Dmitry R. Bandura, Olga Ornatsky

Acknowledgements – funding

Genome Canada through the Ontario Genomics InstituteOntario Cancer Research NetworkMaterials and Manufacturing OntarioNational Institutes of HealthUniversity of TorontoMDS SciexDVS Sciences Inc.CytopeiaParker Life Sciences Leybold Vacuum GmBHETP division of SGECCR/MKS Process Products