FLOW CYTOMETRY:
PRINCIPLES AND
APPLICATIONS
By:
Definition
• Flow cytometry is a technique
for
counting
,
examining
, and
sorting
microscopic
particles
suspended in a stream of fluid.
• It
allows
simultaneous
multiparametric analysis
of the
physical
and/or
chemical
characteristics of
single cells
flowing through an
optical
and/or
BASIC PRINCIPLES
• Flow cytometry involves the
analysis of the
fluorescence
and
light scatter
properties of
single
particles (e.g. cells,
nuclei, chromosomes) during
their passage within a narrow,
precisely
defined
liquid
Flow Cytometry - Principles
Target:
Evaluation of single cell
Solution:
• When conditions are right, sample
fluid flows in a central core that
does not mix with sheath fluid.
Lasers
• Produce a single wavelength of high
intensity
• Nearly all instruments fitted with an
argon laser Gives blue light at
488 nm.
• Second or third laser may be fitted:
- He-Ne- red light at 633 nm
- He-Cd- UV at 325 nm
Light Scatter
Laser
Forward Scatter (FSC) < 10° detection ~ Cell sizeForward angle light scatter:
in a narrow angle from the
direction of the laser beam (FALS or
FS).
Light Scatter
Laser
Side Scatter (SSC) 90° deflection ~ Cell structuresRight angle light
scatter
at right angles
to the laser beam
Light Scatter
• FS tends to be more sensitive to the
size and surface properties
can be used to distinguish live
from dead cells.
• SS tends to be more sensitive to
inclusions within cells
can be used to distinguish
granulated cells from non-granulated
Instrument Parameters
Y
Laser
Side Scatter (SSC) 90° deflection ~ Cell structures Forward Scatter (FSC) < 10° detection ~ Cell size Fluorescence Intensity Antigen DensityFluorochromes
Dye Excitation Emission Molecular
Weight FITC 488 nm 520 nm 389 Da PE 488 nm 578 nm 240 000 Da ECD 488 nm 613 nm 250 000 Da PC5 488 nm 668 nm 105 000 da PerCP 488 nm 688 nm 35 000 Da APC 613 nm 665 nm 105 000 Da
Common Fluorochromes
for 488nm Excitation
FITC 520 PE 575 ECD 615 PC5 665 LASER 488 PI 620FITC = Fluorescein Isothiocyanate PE = Phycoerythrin (RD1)
ECD = Energy Coupled Dye PI = Propidium Iodide
PC5 = Phycoerythrin Cyanin 5 (PC5)
<390 λ 400-450 λ 450-500 500-570 λ 570-590 λ 590-620 λ 620-750 λ >750 λ
ultra- violet blue green yellow orange red
infra-violet red
PE FL FITC FL
488nm Sct
Laminar Fluidic Sheath
Core Sheath
Outer Sheath
• Each cell generates a quanta of fluorescence
PE FL FITC FL 488nm Sct Confocal Lens Dichroic Lenses Photomultiplier Tubes (PMT’s) Discriminating Filters Forward Light Scattering Detector
Multiparametric Analysis
Y
• Simultaneous
Detection of up to
20 Parameters
– Cell size
– Cell structure
– Dyes
– Time (follow enzyme
reactions)
Flow Cytometry - Principles
Light source: argon laser
488
Fluidics
Detectors/Computer
system for analysis and
storage of digitized data.
A typical
flow
cytometer
consists of:
Amplification
• The electrical pulses originating from light
detected by the PMTs are then processed
by a series of linear and log amplifiers.
• Logarithmic amplification is most often
used to measure fluorescence in cells. This
type of amplification expands the scale for
weak signals and compresses the scale for
“
strong” or specific fluorescence signals.
Data display
• Univariate histogram
•Dot plot
Data display
Surface Plot
The surface Plotmay be • custom oriented • smoothed • rescaled • Zoomed in and out by using the scrollTomogram
The Tomogram may be:
• rotated
• viewed in color
precedence
Light Scattering
,
2 Parameter Histogram
Forward Light Scatter (FLS) 90 degree Light Scatter Bigger More Granular Live Cells Bigger Cells Dead Cells Apoptotic Cells X Axis Y Axis
1 Parameter Histogram 1 2 3 4 6 7 150 160 170 .. 190 Channel Number Positive Negative Brighter Dimmer Count 1 4 6
Fluorescence picked up from the FITC PMT
Signal Analysis
• Statistics
• % Negative & % Positive Cells
• Antigen density ~ Mean
Fluorescence Intensity ~ Channel
number
0 Channel Number 1024 mean fluorescence intensity % positive cells % negative cells2 Parameter Histogram FITC FL PE FL Negative Population Single Positive FITC Population Single Positive PI Population Double Positive Population
Compensation
–
Spectral overlap of emission
Compensation
• Compensation: FL1 versus FL2 • Mean-Channel Region B3 = B4 • Compensation: FL2 versus FL1 • Mean-Channel Region B1 = B3Simple rule for Adjustment of Color Compensation
Fluorescence 1 F lu o rescen ce 2 B1 B2 B3 B4
• Internal Checks
– Internal Consistency
• X % CD3+ cells if all tubes +/- 3 %
– Lymphocytes sums (Purity?)
• % CD3+ cells + % CD19+ cells + % CD16+/CD56+ cells
• n lymphocyte gate = 100 % (+/- 5%)
• % CD3+/CD4+ cells + % CD3+/CD8+ cells = % CD3+ cells
Gating
• Set a region on a histogram or
cytogram
• If cell in region then show another
property cell selection
•Dual Parameter
Correlation:
– FSC = Cell size – SSC = Cell structureGating-Option
ungatedgated
Analysis of Cell
Sub-populations
Flow Cytometry Data Smaller Region, Live cells mostly Larger Region includes all cells
Cell sorting
• Flow cytometry can be used to select
and purify a specific subset of cells
within a population
• cell sorting based on physical,
biochemical and antigenic traits.
Measurable parameters
• volume and morphological complexity of cells • cell pigments such as chlorophyll or
phycoerythrin
• DNA (cell cycle analysis, cell kinetics, proliferation etc.)
• RNA
• chromosome analysis and sorting (library construction, chromosome paint)
• protein expression and localization
• transgenic products in vivo, particularly the Green fluorescent protein or related
fluorescent proteins
• cell surface antigens (Cluster of differentiation (CD) markers)
• intracellular antigens (various cytokines, secondary mediators etc.)
Measurable parameters
• enzymatic activity
• pH, intracellular ionized calcium, magnesium, membrane potential
• membrane fluidity
• apoptosis (quantification, measurement of DNA degradation, mitochondrial membrane potential, permeability changes, caspase activity)
• cell viability
• monitoring electropermeabilization of cells • oxidative burst
• characterising multidrug resistance (MDR) in cancer cells
• glutathione
• various combinations (DNA/surface antigens etc.)
Flow Cytometry Applications
• molecular biology, The specific antibodies bind to antigens on the target cells and help to give
information on specific characteristics of the cells • pathology,
• immunology,
• plant biology and
• marine biology: the auto-fluorescent properties of photosynthetic plankton can be exploited by flow cytometry in order to characterise abundance and community structure.
• protein engineering: flow cytometry is used in
conjunction with yeast display and bacterial display to identify cell surface-displayed protein variants with • desired properties.
Clinical applications in flow cytometry
•
Immunophenotyping of leukemiaand lymphoma
• DNA & cell cycle analysis • Minimal residual disease • PNH-diagnostics
• RNA content (reticulocytes) • Immune-deficiencies
Clinical applications in flow cytometry
Platelet Function Analysis:
•Platelet associated immunoglobulins
•platelet-associated IgG quantitation for the diagnosis of immune thrombocytopenias
•platelet cross-matching in transfusion
•reticulated platelet assay to detect “stress” platelets
•fibrinogen receptor occupancy studies for monitoring the clinical efficacy of platelet-directed anticoagulation in thrombosis
•detection of activated platelet surface markers, cytoplasmic calcium ion measurements, and
platelet microparticles for the assessment of hypercoagulable states.
Clinical applications in flow cytometry
Measurement of the Efficacy of Cancer Chemotherapy
•Multi-Drug-Resistance
•assays of proliferative survival using bromodeoxyuridine (BrdU) incorporation •Ligand, antigen, or molecule-targeted biological therapy utilizing monoclonal antibodies
Clinical applications in flow cytometry
Cell Function Analysis
every event that occurs during the process of lymphocyte activation can be measured by flow cytometry [tyrosine phosphorylation
(multiplex bead technology), calcium flux, oxidative metabolism, neoantigen expression (CD11b/CD18 and CD154), and cellular
proliferation)
Applications in Transfusion Medicine
Fetal red cells in maternal blood Quality control of blood products
Clinical applications in flow cytometry
Organ Transplantation and Hematopoietic Cell Therapy
•HLA-typing and cross- matching,
•enumeration of CD34+ hematopoietic stem cells
•pre-transplantation determinations of the efficacy of ex vivo T-cell graft depletion, •post-transplantation evaluation of immune recovery, graft rejection, graft-versus host disease, and the graft-versus-leukemia effect.
Clinical applications in flow cytometry
Applications in Microbiology
•detection of bacteria, fungi, parasites and viruses
•quantitative procedures to assess antimicrobial susceptibility and drug cytotoxicity
sperm sorting in IVF Apoptosis
PI incorporation TdT Assay
Annexin V APO2.7
Advantages
• high speed analysis (>100.000 s
-1)
• Measures single cells
• Measures large number of cells
• simultaneous analysis of multiple
parameters (up to 20)
• Identifies small subpopulations
• quantification of fluorescence
intensities
• sorting of predefined cell populations (up
to 70.000 s
-1Disadvantages
• very expensive and sophisticated
instruments
• Need single particle
• Tissue architecture is lost
• Little information about intra-cellular
distributions
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