Applications of Flow Cytometry in Stem Cell Research and Tissue Regeneration
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Applications of Flow Cytometry in Stem Cell Research and Tissue Regeneration

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eBook - ePub

Applications of Flow Cytometry in Stem Cell Research and Tissue Regeneration

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About This Book

A much-needed primer on the use of laser flow cytometry for stem cell analysis

Laser flow cytometry is a powerful tool for rapid analysis of cells for marker expression, cell cycle position, proliferation, and apoptosis. However, no resources specifically address the use of this methodology for the study of stem cells; this is especially important as stem cell analysis involves specialized methods and staining procedures based on specific characteristics such as marker expression, cell size, drug transport, and efflux of the stem cells.

Now, this book reviews these procedures, discusses the science behind them, and provides real-world examples to illustrate the usefulness of the methods. It brings together world-class experts in pathology, biophysics, immunology, and stem cell research, who draw upon their extensive experience with the methods and show examples of good data to help guide researchers in the right direction.

Chapter coverage includes:

  • Stem cell analysis and sorting using side population
  • Flow cytometry in the study of proliferation and apoptosis
  • Stem cell biology and application
  • Identification and isolation of very small embryonic-like stem cells from murine and human specimens
  • Hematopoietic stem cells—issues in enumeration
  • Human embryonic stem cells: long-term culture and cardiovascular differentiation
  • Limbal stem cells and corneal regeneration
  • Flow cytometric sorting of spermatogonial stem cells
  • Breast cancer stem cells
  • Stem cell marker expression in cells from body cavity fluids

This book is an essential resource for all graduate students, practitioners in developing countries, libraries and book repositories of universities and research institutions, and individual researchers. It is also of interest to laboratories engaged in stem cell research and use of stem cells for tissue regeneration, and to any organization dealing in stem cell and tissue regeneration research.

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Yes, you can access Applications of Flow Cytometry in Stem Cell Research and Tissue Regeneration by Awtar Krishan, H. Krishnamurthy, Satish Totey, Awtar Krishan, H. Krishnamurthy, Satish Totey in PDF and/or ePUB format, as well as other popular books in Ciencias biológicas & Biología celular. We have over one million books available in our catalogue for you to explore.

Information

Year
2011
ISBN
9781118148068
Chapter 1
Basics of Flow Cytometry
H. Krishnamurthy
National Centre for Biological Sciences, Tata Institute of Fundamental Research, Bangalore, India
L. Scott Cram
Los Alamos National Laboratory, Los Alamos, New Mexico
1.1 Introduction
The ability to discriminate and quantify distinct populations of cells or cell organelles has become increasingly important with the growing trend to focus biological studies on various cell types. Flow cytometry and laser-activated cell sorting are unique techniques that permit the identification, analysis, and purification of individual cells based on the expression of specific markers. Flow cytometers can be used to analyze DNA content and cell cycle distribution, cellular viability, apoptosis, calcium flux, intracellular pH and membrane potential, expression of cell surface and/or intracellular antigens and markers, fluorescent reporter proteins, and chromosomes. One common approach is to conjugate fluorescent dyes to specific antibodies against antigens expressed in a target cell population. Expression of fluorescent marker proteins injected or transfected into target cells is another popular flow cytometric approach. For this purpose, Green, Yellow, Cyan, and Red fluorescent proteins have been used in flow cytometric studies. Fluorescence-activated cell sorters can be used to identify and isolate viable labeled cells, chromosomes, or cell organelles from complex populations for further studies.
1.2 Components of a Flow Cytometer
The key components of a typical analytical flow cytometer include fluidics, lasers, optics, electronic detectors, analog-to-digital converters, and pulse processors.
1.2.1 Fluidic System
Fluidic systems are designed to rapidly introduce single cells, one at a time, to a point in space where multiple measurements can be made after laser excitation of the individual cells. Cells are aligned much like beads on a string. In general, analytical flow cytometers have a fluidic system such as that shown in Figure 1.1. The sheath fluid is an isotonic buffer, pumped into the flow cell by applying air pressure using a sheath pressure regulator. By applying higher pressure to the sample than that of the sheath flow, a hydrodynamically focused sample stream is created in the flow cell. A narrow sample stream facilitates the creation of a stream where single cells pass one at a time in single file through a laser beam. The sheath and sample leaving the nozzle are collected in a waste tank.
Figure 1.1 Typical flow cytometer fluidics design, showing the sheath and waste tanks, flow cell, sheath, and sample pressure regulators and sample tube.
1.1
1.2.2 Excitation Light Source
The most commonly used excitation light in a flow cytometer is a laser. However, some cytometers use a mercury arc lamp and/or a light-emitting diode (LED) as a light source. Lasers have the advantage of being coherent and monochromatic. Lasers demonstrate a better signal-to-noise ratio than that of noncoherent light sources such as mercury arc or metal halide lamps. Some of the gas lasers used in flow cytometers with their primary excitation wavelengths are argon ion (488 nm), HeNe (633 nm), and HeCd (355 nm). Solid-state lasers that emit at wavelengths of 355, 375, 407, 488, 561, and 633 nm are available commercially.
1.2.3 Optics
Some of the optical components used in flow cytometers are shown in Figure 1.2A. Combinations of different lens configurations are used to focus the laser beam into either an elliptical or a round beam shape. The excitation optics should withstand milliwatts of laser power. Fluorescence emission optics use primary and secondary dichroic mirrors and long and short pass filters to separate the emitted fluorescence into different wavelengths. Transmission curves for long-pass, short-pass, and bandpass filters are shown in Figure 1.2B. The emission optics include bandpass filters that are placed in front of each photomultiplier detector (Figure 1.3).
Figure 1.2 (A) Typical optical filters commonly used in a flow cytometer; (B). schematic diagrams of the corresponding transmission curves.
1.2
Figure 1.3 Optics layout and ray diagram of a single laser flow cytometer set up to measure FITC (BP: 530/30 nm), PE (BP: 585/42 nm), and Cy5 (BP: 630/22 nm). BS, beamsplitter, PD, photodiode; PMT, photomultiplier tube; BP, bandpass filter; SP, short-pass filter.
1.3
1.2.4 Optics Layout
A typical optical layout for a single-laser flow cytometer is shown in Figure 1.3. The cells moving in single file are illuminated by a laser beam at a point in either a flow cell or within a stream in air. The fluorescence emission from laser excitation or laser light scatter is collected by various detectors after passing through several filters and mirrors (Figure 1.3). Scattered signals generated in the direction of the incident light beam (small-angle scatter) are collected by a photodiode. Side or 90° scatter and fluorescence signals are collected by various detectors after passing through appropriate optics. The first filter, a beam splitter, will send 8% of the signals to a side-scatter photomultiplier tube via a bandpass filter (488/10), and 90% of the signals toward a 610SP filter. The 610SP filter will pass fluorescent light shorter than 610 nm and reflect the longer wavelengths toward a bandpass filter (630/22). These red fluorescent signals are collected by the Cy5 detector. Similarly, fluorescent light shorter than 560 nm will pass through the 560SP filter, and green signals will be collected by a fluorescein (FITC) detector after transmission through a 530/30 bandpass filter. Yellow fluorescent signals higher than 560 nm will be reflected and collected after the 585/42 bandpass filter by a phycoerythrin (PE) detector.
1.2.5 Detectors
The most commonly used detectors in flow cytometers are photomultiplier tubes (PMTs) and photodiodes (PDs). Photodiodes have higher quantum efficiency (>90%) than PMTs (<30% in the green range and 15% in the red range). Typically, PDs are used only for the collection of the stronger forward-scatter signals because of their smaller detection area and high intensity of scattered light compared to the fluorescence signals. Second, the PDs have a lower internal gain (102–4) compared to that of PMTs (108). Fluorescent signals, which are normally weaker than those of the scatter, are collected by PMTs, which offer higher gain and amplification.
1.2.6 Amplifiers
Electronic amplifiers are used in analog flow cytometers. They are connected to the output of the PMTs. Amplifiers are particularly critical if the signals are weak. If the signals are strong, the PMT will saturate at high voltages, as shown in Figure 1.4A, and if the signals are weak, the fluorescence signal will plateau at lower PMT voltages (Figure 1.4B). One has to work at voltage levels that are linear for the range of signals being measured. In such cases the amplifier will be used to enhance the signal intensity.
Figure 1.4 (A) PMTs are not linear at very high voltages. Similarly, for weak signals (4B) linearity is lost at lower voltages, due to signal saturation (all the fluorochromes on a cell have been excited and maximum emission has occurred).
1.4
1.2.7 Analog-to-Digital Converters
Analog signals are collected by a detector and digitalized by an analog-to-digital converter (ADC). Digitalization of the analog signals is required to plot the data as histograms, dot plots, contour plots, density plots, or three-dimensional plots. An ADC is also used to eliminate unwanted or noise signals. Digitized data are also used to perform color compensation and to eliminate spectral overlap from different fluorochromes.
1.2.8 Pulse Processors
The electronic pulse (pulse shape) is different for two cells (G0 + G1) stuck together, as compared to a single cell in G2 or M, whereas the total DNA content for both will be equivalent. Two cells stuck together will have a wider pulse width (PW), a lower pulse height (PH), but the same pulse area (PA) as a mitotic cell. To eliminate doublet events from the final analysis, pulse processing is used to measure the pulse area, width, and height of every pulse. When data of pulse area versus pulse width are plotted as shown in Figure 1.5, single cells will have overlapping area and width signals compared to cell clumps, thus allowing discrimination of single cells from doublets and clumps.
Figure 1.5 The fluorescence signal generated by doublets can have a larger pulse width and larger pulse area than that generated by single cells. Plotting the area and width allows for discrimination of singlets and doublets. The rectangular region set on the dot ...

Table of contents

  1. Cover
  2. Title Page
  3. Copyright
  4. Preface
  5. Contributors
  6. Chapter 1: Basics of Flow Cytometry
  7. Chapter 2: Practical Considerations for Flow Cytometric Sorting of Stem cells
  8. Chapter 3: Stem Cell Analysis and Sorting Using Side Population Analysis
  9. Chapter 4: Flow Cytometry in the Study of Proliferation and Apoptosis
  10. Chapter 5: Flow Cytometric Analysis of Drug Transport and Efflux in Stem Cells
  11. Chapter 6: Stem Cell Biology and Application
  12. Chapter 7: Identification and Isolation of Very Small Embryonic-Like Stem Cells from Murine and Human Specimens
  13. Chapter 8: Electronic Volume of Hematopoietic Stem Cells
  14. Chapter 9: Hematopoietic stem Cells: Issues in Enumeration
  15. Chapter 10: Embryonic Stem Cells: Development and Characterization
  16. Chapter 11: Human Embryonic Stem Cells: Long-Term Culture and Cardiovascular Differentiation
  17. Chapter 12: Mesenchymal Stromal Cells and Their Clinical Applications
  18. Chapter 13: Circulating Adult Stem Cells of Hematopoietic Origin for Vascular and Neural Regeneration
  19. Chapter 14: Flow Cytometric Characterization of Neural Progenitors Derived from Human Pluripotent Stem Cells
  20. Chapter 15: Limbal Stem Cells and Corneal Regeneration
  21. Chapter 16: Flow Cytometric Sorting of Spermatogonial Stem Cells
  22. Chapter 17: Breast Cancer Stem Cells
  23. Chapter 18: Tumor Stem Cell Marker Expression in Cells from Body Cavity Fluids
  24. Index