science webinar series...science /aaas business office. dr. john p. nolan. la jolla bioengineering...
TRANSCRIPT
Sponsored by:
Participating Experts:
Brought to you by the Science/AAAS Business Office
Dr. John P. NolanLa Jolla Bioengineering InstituteLa Jolla, CA
24 March, 201024 March, 2010
The Next Generation of Cell AnalysisThe Next Generation of Cell AnalysisGaining Insight With CytometryGaining Insight With Cytometry
Webinar SeriesWebinar SeriesScienceScience
Dr. Albert D. DonnenbergUniversity of PittsburghPittsburgh, PA
Dr. William G. TelfordNational Institutes of HealthBethesda, MD
Flow Cytometry: The State of the Art
Bill Telford, Ph.D.
Flow Cytometry Core LaboratoryNational Cancer Institute
National Institutes of Health
All of these components of flow cytometry have seen dramatic advances since the first commercial cytometers
in the 1970s.
First, you need a biological sample…
…usually labeled with a fluorescentmarker
You need to move
these cellsin a linear stream through afocused light source.
You need a light source
to excitethe fluorescent molecular on or inthe cell.
Usually a CW or quasi-CW laser, goodshort-
and long-term stability, low noise
PMT
You need a filter
that onlyadmits light from the fluorescent probe.
You need a sensitivelight detector
(usuallya photomultiplier tube).
You need electronics that can convertanalog fluorescent signals to digital ones.
Finally, you need acomputer to processthe digital signalsand display the data
What goes into a flow cytometer?
Immunophenotyping
The number and characteristics of fluorescent probes for flow cytometryhave improved dramatically.
Immunolabeling remains the dominant application, against both extracellularand intracellular targets. Intracellular targets now include phosphoproteinsand transcription factors, as well as cytokines and chemokines.
Heavily substituted low molecular weight fluorochromes. Probes like theAlexa
FluorTM
dyes are modifications of existing dyes like fluorescein
andrhodamine. They have improved overall brightness, are more optimal forphysiological pHs and show reduced photobleaching. They are available atexcitation and emmison
bandwidths covering the entire visible spectrum.
Phycobiliproteins
and their tandems.
Phycoerythrin
(PE) and allophycocyanin(APC) are mainstays of fluorescent labeling. Their FRET tandems
such as PE-Cy5, PE-Cy7 and APC-Cy7 provide a number of additional colors in the long red range. Newer acceptor fluorochromes
have made them brighter andmore stable.
Violet excited fluorochromes
such as Pacific Blue, Pacific Orange, V450 and V500 allow the use of violet laser diodes in multicolor immunolabeling.
Quantum nanoparticles
increasing diameter = increasing wavelength
655 nm705 nm
525 nm585 nm
semiconductor core (CdSe)
semiconductor shell (ZnS)
polymer coating
conjugated proteins
Encapsulated semiconductor nanocrystals
that fluoresce strongly at tightly defined wavelengths, depending on crystal diameter. QdotsTM (Invitrogen) and eFluorsTM (eBioscience) are commercially available.
Emission bandwidths are much more narrow than traditional fluorophores
Optimal excitation with a UV or violet laser source. Extremely resistant to photobleaching
605 nm
800 nm
500 600 700 800Wavelength (nm)
400 500 600 700 800 900
FITC PE PE-Cy5 PE-Cy7
APC APC-Cy5.5
APC-Cy7
PacificBlue
Emission wavelength (nm)
Blue-green(488 nm)laser
Red(633 nm)laser
Violet(405 nm)laser
5 colors
3 colors
Fourteen color analysis
UV(355 nm)laser
Qdot
605
Qdot
705
3 colors
PacificOrange
3 colors
Qdot
625 Qdot
800
PE-Cy5.5
Now achievable using commercial instruments and conjugates..
Protein Reference Excitation, nm
Emission, nm
Brightness, % of EGFP
EBFP Yang et al., J. Biol. Chem., 1998, 273, 8212 380 440 27
Azurite Mena et al., Nat. Biotechnol., 2006, 24, 1569 383 447 43
EBFP2 Ai et al., Biochemistry, 2007, 46, 5904 383 448 60
Cerulean Rizzo et al., Nat. Biotechnol., 2004, 22, 445 433 475 79
ECFP www.clontech.com 439 476 39
CyPet Nguyen et al., Nat. Biotechnol., 2005, 23, 355 435 477 53
TagCFP www.evrogen.com 458 480 84
AzamiGreen www.mblintl.com 492 505 121
TagGFP www.evrogen.com 482 505 100EGFP www.clontech.com 484 507 100
Emerald Cubitt et al., Methods Cell. Biol., 1999, 58, 19 487 509 116
T-Sapphire Zapata-Hommer et al., BMC Biotechnol., 2003, 3 399 511 78
TagYFP www.evrogen.com 508 524 137
EYFP www.clontech.com 514 527 151
Topaz Cubitt et al., Methods Cell. Biol., 1999, 58, 19 514 527 169
Venus Nagai et al., Nat. Biotechnol., 2002, 20, 87 515 528 156
Citrine Griesbeck et al., J. Biol. Chem., 2001, 276, 29188 516 529 174
YPet Nguyen et al., Nat. Biotechnol., 2005, 23, 355 517 530 238
Protein Reference Excitation, nm
Emission, nm
Brightness, % of EGFP
Kusabira Orange www.mblintl.com 548 559 92
mOrange Shaner et al., Nat. Biotechnol., 2004, 22, 1524 548 562 146
dTomato (dimer)
Shaner et al., Nat. Biotechnol., 2004, 22, 1524 554 581 142
DsRed (tetramer) www.clontech.com 558 583 176
DsRed-Express (tetramer) www.clontech.com 555 584 58
TagRFPMerzlyak et al., Nat. Methods,
2007, 4, 555www.evrogen.com
555 584 146
DsRed- Monomer www.clontech.com 556 586 10
mStrawberry Shaner et al., Nat. Biotechnol., 2004, 22, 1524 574 596 78
mCherry Shaner et al., Nat. Biotechnol., 2004, 22, 1524 587 610 47
mKeima Kogure et al., Nat. Biotechnol., 2006, 24, 577 440 620 12
mRaspberry Wang et al., PNAS, 2004, 101, 16745 598 625 37
Katushka (dimer)
Shcherbo et al., Nat. Methods, 2007, 4, 741 588 635 67
mKate (TagFP635)
Shcherbo et al., Nat. Methods, 2007, 4, 741
www.evrogen.com588 635 45
HcRed (tetramer)
Gurskaya et al., FEBS Lett., 2001, 507, 16 592 645 5
mPlum Wang et al., PNAS, 2004, 101, 16745 590 649 12
Fluorescent proteins for flow cytometry
Vladislav V. Verkhusha, Ph.D and William KingAlbert Einstein College of Medicine
Physiological probes for flow cytometry
An expanding number of fluorescent probes for morphological and physiological cell measurements are now available.
DNA binding dyes.
Cell impermeant
and permeant, with excitation/emission characteristics spanning the visible spectrum.
Viability dyes. Protein modifying dyes (i.e
Live/Dead) are now commonly used for viability measurements, and are included in immunolabelingprotocols.
Mitochondrial and cell membrane potential dyes. To measure Mitochondrial and cell membrane status, apoptosis.
Cell tracking dyes. Available in all colors, with a variety of
incorporation mechanisms for long and short term labeling.
Fluorogenic
enzyme substrates.
Membrane pump substrates.
Early cytometer
were typically equipped with a single water-cooled gaslaser emitting at 488 nm. Fluorochrome
analysis was limited to this wavelength. Lasers have become smaller and more efficient, but 488 nm remains as our base wavelength.
Blue-green 488 nm
Fluorescein
(FITC)Phycoerythrin
(PE)PE-Cy5, PE-Cy7GFP, YFP
Red 633 or 635 nmAllophycocyanin
(APC)APC-Cy7Cy5, red Alexa
Fluor dyes
Violet 405 nm Pacific Blue, Pacific OrangeHoechst dyes, DAPI, Qdots
Red HeNe
lasers
and small red laser diodes
were subsequently added as a second laser source, giving us a variety of red-excited fluorochromes.
Inexpensive violet laser diodes appeared in cytometers, and provideexcitation for a number of fluorochromes, including quantum nanoparticles.
Other laser wavelengths (such as UV) could be generated by gas lasers, butwere difficult to produce and expensive. Not available on most instruments.
Until recently, our analysis capabilities were largely limited by the numberof laser wavelengths available for flow cytometry. Although very useful, theusual “triad” of blue-green, red and violet lasers only excites a fraction ofthe fluorochromes
available for cytometry.
405 nm
488 nm
633 nm
440 nm
532 nm543 nm546 nm550 nm555 nm561 nm570 nm580 nm592 nm
650 nm670 nm
Recent advances in laser technology
has given us a new generation of solid state lasers that cover virtually the entire visible spectrum (ultraviolet to infrared).
628 nm642 nm
505 nm515 nm
457 nm473 nm
Solid state lasers
are small, reliable, easy to integrate into existing instrumentation, and are rapidly decreasing in cost.
Most importantly, they are nowavailable in virtually any color,allowing excitation of almostany fluorescent molecule. NTT Photonics, Inc.
Multiple lasers is now the norm for flow cytometry…
Beckman-Coulter Astrios… 7 lasers
BD Biosciences LSR Fortessa… 5 lasers
BD LSR II SORP… up to 7 lasers
BD (Cytopeia) InFlux… 6 lasers
Stratedigm
S1400… 4 lasers
Partec
CyFlow… 4 lasers
DPSS 532 and 561 nm lasers for flow cytometry
50 mW
(Laser-Compact)
DPSS 532 nm green
DPSS 561 nm green-yellow
DPSS 532 and 561 nm lasers are becoming common fixtures on flow cytometers, supplementing existing 488 nm sources.
Phycoerythrin (PE)
532 nm488 nm
450 500 550 600 700 750400 650
Riboflavin
Rel
ativ
eflu
ores
cenc
e450 500 550 600 700 750400 650
Wavelength (nm)
450 500 550 600 700 750400 650
561 nm
Riboflavin
EXEM
532 and 561 nm lasers provide betterexcitation of PE and its tandems than488 nm sources, while reducing cellularautofluorescence.
Wavelength
Tsien
“fruit”
fluorescent proteins
The newest generation of fluorescent proteins (i.e. the Tsien
“fruit”
FPs) oftenexcite poorly at 488 nm, and require green or yellow light.
mHoney
dew
mOrange
dtTom
atomTan
gerin
emStra
wberry
All of the fruit FPs
except mHoneydewideally require a 500 to 600 nm excitation source.
excitation emissionmBa
nana
mCher
ry
Shaner, N.C. et al. Nat. Methods 2, 905-909 (2005).
Wavelength (nm) Wavelength (nm)
Fiber lasers
near-IR laserdiode pump
high reflector
544 nmlaser output
output couplerpump beam correction optics
808 nm
In a fiber laser, a specially doped fiberoptic is coupled to a IR pump laser.
The fiber is the lasing cavity.
fiber optic
Fiber lasers can generate virtually any wavelength.
MPBC 580 nm
MPBC 592 nmMPBC 628 nm
We can fine-tune our lasers to our fluorochromes.
Zecotek
550 nm
Supercontinuum
laser sources
Supercontinuum
or white-lightlaser sources emit over a broadrange of visible and infrared wavelengths. With one laser, weshould theoretically be able tochoose any wavelength we needfor analysis by selectively filteringthe laser light.
This will provide the ultimate inwavelength flexibility.
Fianium
Ltd. (UK)NKT Photonics (Denmark)
Fianium, Ltd.SC-450
NKT PhotonicsSuperExtreme
Supercontinuum
laser sources
529/25 nm488/10 nm 575/25 nm 632/22 nm
400 800500 600 700Wavelength (nm)
Post-IR cold mirrorsRe
lati
ve p
ower
leve
l
Other tunable laser technologies are coming soon.
Data collection and analysis
Digital systems have largely supplanted analog systems for rapid, accurate data acqusition
and analysis.
Most mathematical operations (log conversion, compensation) are now doneby computer, or using digital signal processors, rather than hardwiredelectronics.
• More accurate calculations.
• Greater flexibility in data analysis.
• Rapid sorting decisions, resulting in laser sorting rates and fewer aborts.
Sophisticated offline data analysis programs (TreeStar
FlowJo, De Novo software FCS Express, Verity WinList) that can manage digitally acquired data, including complex spillover analysis.
Probability state analysis software (Gemstone).
Digital acquisition systems and software make polycolor
flow cytometry possible.
Cell sorting
Digital systems have greatly increased cell sorting throughput, eliminating“dead time” and allowing continuous sort decisions.
Electrostatic sort rates of 25,000 –
75,000 events/second can be achieved.
Six-stream sorters are becoming the benchmark (BD InFlux
and Beckman-
Coulter Astrios).
Parallel sorting for extremely high-throughput applications (iCyt
Reflection).
Biohazard containment is now standard on cell sorters, with some
instrumentshoused in biosafety
hoods.
Microfluidic
based sorting systems for clinical applications (Cytonome).
Up-and-coming cytometry technologies
Phase sensitive and spectral flow cytometry
Raman light scatter cytometry
Atomic mass cytometry
Microfluidics
systems (Lab on a Chip)
Scanning or image cytometry
Slide-based systemsStream-based systems (Amnis)Interventional scanning cytometry (Cyntellect)
Compucyte iCys
DVS Sciences CyTOF
Up to 50 parameters!
Small, inexpensive cytometers
Accuri
C6, Millipore GuavaCytometry4Life
NCI ETIB Flow CytometryCore Laboratory
Sponsored by:
Participating Experts:
Brought to you by the Science/AAAS Business Office
Dr. John P. NolanLa Jolla Bioengineering InstituteLa Jolla, CA
24 March, 201024 March, 2010
The Next Generation of Cell AnalysisThe Next Generation of Cell AnalysisGaining Insight With CytometryGaining Insight With Cytometry
Webinar SeriesWebinar SeriesScienceScience
Dr. Albert D. DonnenbergUniversity of PittsburghPittsburgh, PA
Dr. William G. TelfordNational Institutes of HealthBethesda, MD
Albert D. Donnenberg, Ph.D.UNIVERSITY of PITTSBURGH CANCER INSTITUTE
New Tools for Cytometry: Hardware and Software
AAAS March 2010
New Tools: Hardware
Imaging Flow Cytometry: ImageStream100
Debris & Monsters
MonstersDebris/RBC
SSc
BlueCD45 RedBrightfield
Gray
Lymphs
Monos
Grans Eos
K562 Target (CTO+)
CD3+ T cell
CD16/56+ NK cell
Gated on 7AAD+ Targets (50:1 E to T)
Cellular Cytotoxicity: High E:T
CD45-
HEA-
CD90+ Tumor Stem Cell in Primary NSC Lung Ca
Draq5 (Nucleus)
CD90+
Surface Mucin
NORMAL
Surface Mucin
TUMOR
CD45-
HEA-
CD90+ Tumor Stem Cell in Primary NSC Lung Ca
Draq5 (Nucleus)
Mucin+
CD90
CD90
New Tools: Software
VenturiOne: Efficient Use of 8 hyperthreads
during recalculation
Tesla graphics processing engine with 240 parallel CPU
Kaluza: Support of Graphics Processing Engine
Ve
ntu
riO
ne
: Pre
vie
w
Pa
in S
ho
ws
SP
LO
M
(Sc
att
erp
lot
Ma
trix
) o
n G
ate
d E
ven
ts
17 parameter dataset
CD34-/CD90- CD146+
CD34-/CD90+ CD146+
CD34+/CD90+ CD146-
CD90
CD34
CD146
CD34+/CD90+ CD146+
SA-ASC pericytesK
alu
za: n
-Dim
en
sio
na
l R
ad
ar
Plo
t
•Metafile graphics are composed of scalable objects•Use of play lists to organize data analysis /reanalysis•Exporting analysis results to CSV Files
CD45 APC‐Cy7
ABC NOT DEF
B: 45.2%
CD45 APC‐Cy7
ABC NOT DEF
CLEAN CD45‐
CD3 FITC
FL1‐
FITC
VenturiOne: Metafile Graphics and other analysis enhancements
SPICE: Data mining tool for visualization of complex multiparameter
data
Gemstone: New paradigm for modeling modulation of markers during differentiation
Thanks to
• AAAS
• Accuri
• AVDLab
• UPCI-Cytometry Facility
Sponsored by:
Participating Experts:
Brought to you by the Science/AAAS Business Office
Dr. John P. NolanLa Jolla Bioengineering InstituteLa Jolla, CA
24 March, 201024 March, 2010
The Next Generation of Cell AnalysisThe Next Generation of Cell AnalysisGaining Insight With CytometryGaining Insight With Cytometry
Webinar SeriesWebinar SeriesScienceScience
Dr. Albert D. DonnenbergUniversity of PittsburghPittsburgh, PA
Dr. William G. TelfordNational Institutes of HealthBethesda, MD
Screening and Systems Cytometry More Samples, More Parameters
John P. Nolan, Ph.D.
La Jolla Bioengineering Institute
Needs for Large Scale Cytometry Proteomics, Systems Biology, Drug Discovery, Clinical
Diagnostics
• Quantitative measurement of many molecular features under many conditions
– Dozens to hundreds of proteins/epitopes– Dose‐response, time course
– Replicates, controls• Solutions:
– More Samples: High Throughput FC
– More Information: Highly Multiparameter
FC
More Samples: High Throughput FC Bruce Edwards, Larry Sklar
–
U. New Mexico
Edwards et al (2006) Nature Protocols
As little as 2 ul/sampleA 96‐well plate can be sampled in as little as 2.5 minutes. A 384‐well plate can be sampled in as little as 10 minutes.
Multiplexing with Beads
Nolan and Mandy 2001 Cell Mol Biol
47
Multiplexing with Cells: Cell Barcoding Peter Krutzik, Garry Nolan –
Stanford
Krutzik
et al (2008) Nature Protocols
Barcode Deconvolution
Krutzik
et al (2008) Nature Protocols
Challenges of Multiparameter
FCHighly multi‐color FC requires
multiple lasers, detector assemblies – expensive and
complicated
Software, reagent developments are making
multicolor FC more accessible
Usable spectral range filled, further increases will be
incremental
635 nm Excitation - 3 colors
Wavelength (nm)400 500 600 700 800 900
Inte
nsity
0
20
40
60
80
100 APCAPC-A680
APC-A750
488 nm Excitation - 5 colors
Wavelength (nm)400 500 600 700 800 900
Inte
nsity
0
20
40
60
80
100
FITCPEPE-Texas Red
PE-Cy5PE-Cy7
405 nm Excitation with Quantum Dot Reagents - 9 colors
Wavelength (nm)400 500 600 700 800 900
Inte
nsity
0
20
40
60
80
100
CascadeBlue
QD525 QD565QD545 QD585
QD605QD655
QD705QD800
Approaches to Higher Parameter FC
• More lasers, detectors – but spectral space is limited, complexity and cost are high
• More efficient use of optical spectrum – Single cell Raman spectroscopy using nanoparticle
SERS tags
• Non‐optical approaches – Single cell mass spectrometry using mass‐tags
Conventional Flow Cytometry
Sample Inlet
SheathInlet
Laser Beam
SampleStream
SheathStream
Filters
Dichroic
mirrors
Detectors
Sample Inlet
SheathInlet
Laser Beam
SampleStream
SheathStream
Optical Fiber CCD
Spectrograph
Raman Flow Cytometry Nolan Lab – La Jolla Bioengineering Institute
0
10000
20000
30000
40000
50000
60000
20 40 60 80 100 120 140 1600
100
200300400500
Inte
nsity
P ixel Number
Even
t Num
ber
635 nm Excitation - 3 colors
Wavelength (nm)400 500 600 700 800 900
Inte
nsity
0
20
40
60
80
100 APCAPC-A680
APC-A750
633 nm Excitation: SERS Tags
Wavelength (nm)640 650 660 670 680 690 700
Inte
nsity
Surface Enhanced Raman Scattering (SERS)
• Near metal (Au, Ag) surfaces, Raman signals enhanced 1012‐ fold
• Intensities rival fluorescence: single molecule detection
• Functionalize with Abs, other reagents for cell staining
Raman Shift (cm-1)0 500 1000 1500 2000
Inte
nsity
Wavelength (nm)640 660 680 700 720
Spectral Unmixing
of SERS Tags
Raman Shift (cm-1)
0 200 400 600 800 1000120014001600
Inte
nsity
0
5000
10000
15000
20000
25000
Raman Shift (cm-1)
0 200 400 600 800 1000120014001600
Inte
nsity
0
5000
10000
15000
20000
25000
0
10000
20000
30000
40000
50000
60000
20 40 60 80 100 120 140 1600
100
200300400500
Inte
nsity
Pixel Number
Even
t Num
ber
Three Tag Mixture
Raman Shift (cm-1)
0 200 400 600 800 1000120014001600
Inte
nsity
0
5000
10000
15000
20000
25000
Spectra from Individual Cells Reference spectra Individual Tag Intensities
DMB
Cou
nt
100 101 102 103 1040
6
12
18
24
NBA
Cou
nt
100 101 102 103 1040
6
12
17
23
R6G
Cou
nt
100 101 102 103 1040
14
28
41
55
DMB
NBA
R6G
Raman Shift (cm-1)
0 200 400 600 800 1000120014001600
Inte
nsity
0
5000
10000
15000
20000
25000
Bkgd
Average Spectra
Pixel Number
0 200 400 600 800 1000 1200 1400 1600
Inte
nsity
0
5000
10000
15000
20000
25000
Blank beadsDMB-COINSNBA-COINSR6G-COINSMixture
E
Mass‐Tagged Antibodies and Mass Spec Scott Tanner, U. Toronto
http://www.stemspec.ca/Project/History/UofT.html
Antibodies (or other reagents) are tagged
with chelating polymers that are labeled
with different metal atoms
Inductively coupled plasma time of
flight mass spectrometry (ICP‐TOF‐MS)
can detect and measure the different
metal atoms
Sample Inlet
Nebulizer
Plasma
Time of Flight–Mass Spectrometry of Individual Cells
http://www.stemspec.ca/Project/History/UofT.html
Drift Tube
Detector
Multiparameter
TOF Cytometry
http://www.stemspec.ca/Project/History/UofT.html
Summary• The demand for more quantitative information
about cells and cell systems are being addressed by a combination of new instruments, new
reagents, and new analysis methods• Increasing sample throughput
– Hardware: Increases throughput, automation– Assay design: Cell barcoding
reduces time and cost
• Increasing the number of parameters measured– Conventional Approach: Multilaser
systems
– New Optical Approach: Raman cytometry– Non‐optical Approach: Mass cytometry– High Content Analysis: Image cytometry
Acknowledgements
• Bruce Edwards, Larry Sklar
–
University of New Mexico– High throughput flow cytometry, molecular library screening
• Peter Krutzik, Garry Nolan – Stanford University– Multiparameter
analysis of cell signaling, assays and
software
• Scott Tanner – University of Toronto– Mass cytometry for highly multiparameter
measurements
• Nolan Lab – La Jolla Bioengineering Institute– Raman Cytometry for Diagnostics and Drug Discovery– Bioengineering Research Partnership (NIH/NIBIB)
Look out for more webinars in the series at:
www.sciencemag.org/webinar
For related information on this webinar topic, go to:
www.AccuriCytometers.com
To provide feedback on this webinar, please e‐mail
your comments to [email protected]
Sponsored by:
Brought to you by the Science/AAAS Business Office
24 March, 201024 March, 2010
The Next Generation of Cell AnalysisThe Next Generation of Cell AnalysisGaining Insight With CytometryGaining Insight With Cytometry
Webinar SeriesWebinar SeriesScienceScience