Presentation on theme: "Research Techniques Made Simple: Flow Cytometry Richard R"— Presentation transcript:
1Research Techniques Made Simple: Flow Cytometry Richard R Research Techniques Made Simple: Flow Cytometry Richard R. Jahan-Tigh1,2, Caitriona Ryan3,4,5, Gerlinde Obermoser5, Kathryn Schwarzenberger6 1Department of Dermatology, University of Texas - Houston Medical School, Houston, TX 2Department of Dermatology, University of Texas MD Anderson Cancer Center, Houston, TX 3Department of Dermatology, Baylor University Medical Center, Dallas, TX 4Menter Dermatology Research Institute, Dallas, TX 5Baylor Institute for Immunology Research, Dallas, TX 6Department of Dermatology, University of Vermont, Burlington, VT
2Introduction Measuring properties of cells while in a fluid stream Flow: cells in motion; Cytometry: measure of cellsAnalyzes many cells and numerous parameters simultaneously over very short timeframeCan be performed on a variety of tissues - peripheral blood, skin punch biopsies, bone marrow aspirates, tissue culture cell linesUses fluorescent-labeled antibodies specific to cell-surface markers used to characterize the cell population of interestCell surface markers are usually glycoproteins called cluster of differentiation (CD) markers and help differentiate cell subpopulationsAlso intracellular proteins, cell membranes, Ca++ flux and many more parameters can be assessed
3The Flow Cytometry Process Sample is brought into single cell suspension and stained with antibodies of interest.Cells from the sample tube are injected into the sheath stream.Laminar flow of the stream pushes the cells to line up in single file.Cells flow single file past focused laserScattered light and emitted fluorescence is filtered, translated into electronic signals and graphical display.On a cell sorter, cells are then packed into charged droplets and sorted.1: Forward scatter detector , 2: side scatter detector, 3: fluorescence detector, 4: filters and mirrors, 5: charged deflection plates
4Flow Cytometric Cell Sorting = Fluoresence Activated Cell Sorting (FACS™) Cells of interest can be separated to very high purity by cell-sorting flow cytometersAfter cells are “interrogated” by laser in the flow chamber, the single cell stream is broken very accurately into tiny droplets by a fine nozzle vibrating at ultrasonic frequencyVery rapid computation of the signals elicited by the cell in the flow chamber makes it possible to deflect droplets carrying cells of interest using positive, neutral, or negative electric chargesDroplets enter an electromagnetic field and are pushed into different sorting containers based on charge
5Fluorescence As laser interrogates cell, fluorochromes become excited When fluorochromes leave their excited state, energy is released as photon with a specific wavelengthPhotons pass through collection lens and are filtered down specific channelsEmission spectra of fluorochromes overlap so single detector may see fluorescence originating from more than one fluorochromeThis spillover must be removed using a mathematical algorithm so that one detector reports signal from only one fluorochrome = “compensation”
6Flow Data Plot (1)When laser interrogates a cell, light is scattered in all directions and can be recorded by detectorsFSC: light that is scattered in the forward direction (along the same axis the laser is traveling) is detected in the Forward Scatter Channel (FSC)Intensity of signal depends on cell size and refractive indexSSC: light that is scattered at 90 degrees to the axis of the laser path is detected in the Side Scatter Channel (SSC)Intensity of this signal is proportional to the intracellular granularity of the cellGranulocytesMonocytesLymphocytesDebris Dead cells RBCDuplicates****Combined measurement of FSC and SSC allows differentiation of cell types in a mixed cell population
7Flow Data Plot (2) i ii iii iv Four ways of displaying identical data: Pseudocolor dot plot (allows simultaneous information of rare events (dots) and high-frequency areas with dots of different color);Dot plot where each dot represents one event (note that here only 10,000 events are shown to avoid over-saturation of dots);5% probability density plot;5% probability contour plot.iiiiiiiv
8Gating (1) Isolates a subset of cells on a plot In order to look at parameters specific to only that subsetBoolean logic can be used to include or exclude multiple gatesThe same population with data forboth CD3 and CD4 fluorescencedisplayed (note better display of the CD3 low expressing cells)A single-color histogram of CD3expression in cells from the selectedregion (note the cells to the leftthat stain weakly with CD3)Approximatelocation oflymphocytesselected
9Gating (2)Interpretation of quadrants**iiiiiiHistogram (univariate) plot of CD3 expressionPseudocolor plot of CD3 versus CD4Gating strategy to define lymphocyte subsets. (i) Histogram (univariate) plot of CD3 expression. (ii) Pseudocolor plot of CD3 versus CD4. Note that (1) both axes are logarithmic, unlike the linear axes of scatter plots (i); and (2) this display gives a better view on the distribution of CD3 expression than the histogram, in particular for ** CD3 low expressing cells. (iii) Cartoon detailing interpretation of quadrant gates of (ii). CD3+CD4+ cells are displayed in the top right quadrant (46.2% of lymphocytes).
10Intracellular Cytokine Staining to Identify Cell Subsets Kagami et al.(JID 130: , 2010) reported an increased frequency of Th17, Th22, and Th1 cells in untreated psoriasis patients. In this figure the dot plots are gated on CD4+ lymphocytes (i.e. only CD4+ cells are being analyzed) that have been stimulated for 6 hours with PMA, followed by staining for IL-17A, IFN- γ, and IL-22. Of note, most cells producing IL-22 do not produce IL-17A or IFN-γ at the same time: In the middle dot plot, a total of 3.2% of cells are positive for IL-22 staining (2.33% cells produce only IL-22 and not IFN-γ while 0.87% produce both cytokines). Similarly, in the right dot plot a total of 3.27% of cells produce IL-22 (2.99% of cells are single positive for IL-22 and 1.25% are double positive for IL-22 and IL-17A). A similar observation can be made of IL-17A-producing cells.