FLOW CYTOMETRY PDF

adminComment(0)

Preface. Learning to operate a flow cytometer is best achieved by using the instrument. However This document contains basic information on flow cytometry. Flow Cytometry Basics Guide | 3. 1 Principles of the. Flow Cytometer. Fluidics System. One of the fundamentals of flow cytometry is the ability to measure the. flow cytometry such as immunophenotyping of peripheral blood cells, analysis of underlying principle of flow cytometry is related to light.


Flow Cytometry Pdf

Author:FLORENCIA FIORELLI
Language:English, Portuguese, Arabic
Country:Sierra Leone
Genre:Religion
Pages:543
Published (Last):31.07.2016
ISBN:351-2-24574-263-7
ePub File Size:28.51 MB
PDF File Size:20.58 MB
Distribution:Free* [*Registration Required]
Downloads:24691
Uploaded by: KARLEEN

The flow cytometer was developed in the 's and rapidly be- came an essential instrument for the biologic sciences. Spurred by the HIV pandemic and a. sub-populations. The cells were investigated using a BD FACScan flow cytometer. . lyatrusavquoper.cf While such plots. Flow Cytometry is a widely used method for cell analysis which, for the novice With respect to cellular analysis, the underlying principle of flow cytometry is that .

This situation needs to be overcome. For example, the emission spectrum for FITC and PE is that the light emitted by the fluorescein overlaps the same wave length as it passes through the filter used for PE.

This process is called color compensation, which calculates a fluorochrome as a percentage to measure itself. The process of compensation is a simple application of linear algebra, with the goal to correct for spillovers of all dyes into all detectors, such that on output, the data are effectively normalized so that each parameter contains information from a single dye.

In general, our ability to process data is most effective when the visualization of data is presented without unnecessary correlations''. Especially when using the parameters which are more than double, this problem is more problematic. Up to now, no tools have been discovered to efficiently display multidimensional parameters. Analysis of a marine sample of photosynthetic picoplankton by flow cytometry showing three different populations Prochlorococcus , Synechococcus , and picoeukaryotes Gating[ edit ] The data generated by flow-cytometers can be plotted in a single dimension , to produce a histogram , or in two-dimensional dot plots or even in three dimensions.

The regions on these plots can be sequentially separated, based on fluorescence intensity , by creating a series of subset extractions, termed "gates. Individual single cells are often distinguished from cell doublets or higher aggregates by their "time-of-flight" denoted also as a "pulse-width" through the narrowly focused laser beam [18] The plots are often made on logarithmic scales. Because different fluorescent dyes' emission spectra overlap, [19] [20] signals at the detectors have to be compensated electronically as well as computationally.

Data accumulated using the flow cytometer can be analyzed using software. Once the data is collected, there is no need to stay connected to the flow cytometer and analysis is most often performed on a separate computer. Automated identification systems could potentially help findings of rare and hidden populations. T-Distributed Stochastic Neighbor Embedding tSNE is an algorithm designed to perform dimensionality reduction, to allow visualization of complex multi-dimensional data in a two-dimensional "map".

FMO controls[ edit ] Fluorescence minus one FMO controls are important when building multi-color panels - it is used to properly interpret obtained data. FMOs provides a measure of spillover in a given channel. FMO sample is stained with all the fluorochromes except the one that is being tested [30] - meaning if you are using 4 different fluorochromes your FMO control must contain only 3 of them.

Cell sorting by flow cytometry[ edit ] Cell sorting is a method to purify cell populations based on the presence or absence of specific physical characteristics. Bead assemblies have also been applied to analysis of protease-substrate interactions Opportunities for analysis of molecular assembly in drug discovery are described in more detail below in the context of HTS flow cytometry. When the ligand concentration is varied, ternary complex formation between ligand, receptor, and G protein yield dose-response curves.

The extent of the high affinity ternary complex formation plateaues at a constant high level for ligands previously classified as full agonists and at reduced levels for ligands previously classified as partial agonists. Taken together, these results suggested that the association rather than the dissociation of the signaling complex was what differentiated partial agonists from full agonists. When performed simultaneously with color coded beads, the two assemblies ligand beads and G protein beads discriminated between agonist, antagonist or inactive molecule in a manner appropriate for high throughput, small volume drug discovery.

The ligand beads were sensitive to the presence of all ligands, while the G protein beads were sensitive only to agonists, and discriminated full and partial agonists.

From a quantitative perspective, these studies show applications of flow cytometry for measurements of numbers of binding interactions per particle, the binding constants, and the rate constants, all in a homogeneous format. Flow cytometry provides opportunities for multiplexing 19 and high content analysis that includes pixel by pixel imaging 3 , The expansion of multiparameter flow cytometry has been driven by the need to understand the complexity in biological systems.

High content flow cytometry is analogous to microscopy with multiple fluorescence signatures arising from multiple excitation sources and multiple emission wavelengths with imaging. A detailed review of cellular imaging in drug discovery has recently appeared Multiple fluorescence colors are also used to measure multiple analytes simultaneously with suspension arrays.

Whereas in planar arrays the address system is spatial, affinity reactions occurring at defined locations on the array, in suspension arrays, the address is encoded into the particle as an optical signature. Optical signatures currently include fluorescent dyes as well as particle size and light scatter. With only two dyes, each encoding ten distinct levels of fluorescence, plex arrays can be produced.

Unique spectroscopic signatures, associated with Raman spectra, could potentially be encoded into larger arrays http: Multiplexed particle-based immunoassays to study genes, protein function, and molecular assembly are becoming routine. Applications include cytokine quantification, single nucleotide polymorphism genotyping, phosphorylated protein detection, and characterization of the molecular interactions of nuclear receptors.

Multiplexed drug discovery screens are described below. For cell suspensions, array technologies are also evolving. In receptor pharmacology, for example, cyanine-labeled neuropeptide Y has been used as a universal Y 1 , Y 2 , and Y 5 receptor agonist.

Calcium mobilization was measured in different channels with the aid of fluo-4 and fura red. A combination of dyes allowed the simultaneous determination of Y 1 , Y 2 , and Y 5 receptor selectivity and receptor-mediated response at the same time Krutzik and Nolan 19 developed fluorescent cell barcoding to enhance the throughput of flow cytometry.

For barcoding, each cell sample was labeled with a different signature, or barcode, of fluorescence intensity and emission wavelengths, and mixed with other samples before antibody staining and analysis by flow cytometry.

Using three fluorophores, the authors were able to barcode and combine entire well plates. Antibody consumption was reduced fold and acquisition time was reduced to 5—15 minutes per plate.

Using barcoding and phospho-specific flow cytometry, the authors screened a small-molecule library for inhibitors of T cell-receptor and cytokine signaling, simultaneously determining compound efficacy and selectivity.

They also analyzed IFN-gamma signaling in cells from primary mouse splenocytes, revealing differences in sensitivity and kinetics between T cell and B cell subsets. Highly multiplexed applications are needed in immunology where immune responses depend upon a network of cells expressing unique combinations of cell surface proteins.

Multiparameter flow cytometry for clinical diagnostics has historically been limited by the available probes and instrumentation to about six colors. New multiple laser flow cytometers and new probes, including semiconductor nanocrystals quantum dots , have recently extended the capabilities of flow cytometry to resolve 17 fluorescence emissions 23 , Phenotyping multiple antigen-specific T-cell populations have promise in vaccine development as well as the understanding of adaptive and innate cellular immune mechanisms.

These approaches are both multiplexed since multiple populations are resolved and high content since each population is characterized on the basis of multiple markers.

Phosphoprotein profiling is a mainstay of bead-based multiplexing where phosphoproteins from cell lysates are first captured by an antibody on a bead and then quantified by a second antibody.

Collections

When performed with intact cells, the measurement of phosphoproteins in cells uses the same types of fluorescently labeled, phosphospecific antibodies 26 , However, in contrast to detecting phosphoproteins as analytes, the information about the distribution of the phosphoproteins, on a cell by cell basis is retained.

By exposing cancer-cell signaling networks to potentiated inputs, rather than relying upon the basal levels of protein phosphorylation, investigators have been able to identify unique profiles correlated with genetics and disease outcome In addition to measuring and correlating individual parameters, high content technologies may contribute to a systems understanding of physiology and disease at the cell level.

It has been possible to discriminate disease-modulating agents and drugs by analyzing a complex network of cell types, treatments and readouts by machine-learning algorithms Multiparameter flow cytometry has recently been used to monitor eleven intracellular proteins and phospholipids in human peripheral blood cells subjected to nine treatments The data were processed with machine-learning algorithms to identify known signaling pathways and to predict new ones to be verified experimentally.

High content analysis has been extended to an image analysis flow cytometer that combines CCD technologies and an optical architecture for high sensitivity and multispectral imaging of cells 3 , 20 , The system has fluorescence sensitivity comparable to a PMT-based flow cytometer with imaging in six channels and 0. Biological applications include analysis of viral loads, and pathway components contributing to nuclear translocation and apoptosis Coupling of morphometric with photometric measures made it possible to distinguish live cells from cells in the early phases of apoptosis, as well as late apoptotic cells from necrotic cells The scale of the image data acquisition, on a cell by cell basis, limits throughput compared to intensity based measurements.

Flow cytometry sorts cell populations with the desired phenotype.

Because sorting rates approach 50, cells per second or 4. For these reasons, it is likely that cell sorting will play an important role in stem cell research.

More recently, sorting in flow cytometry has been coupled with combinatorial techniques which enable primary screens to explore both biological and chemical diversity. For biological diversity, cell systems are configured to express libraries of peptides and proteins for both protein engineering and drug discovery.

Bacterial expression systems have become associated with protein engineering 34 — 37 with enzyme libraries displayed on the surface of microbial cells or microbeads. These libraries, with 10 9 different variants can be screened with fluorogenic substrates. The approach has been relatively more successful in altering affinity and specificity as compared to enhancing catalytic activity Protein engineering has potential applications in the synthesis of novel drugs in situ correction of genetic errors As gene sequences are revelaed, efficient methodologies to functionally characterize these genes in vivo are needed.

A novel drug discovery approach has used retroviral vectors in which combinatorial oligonucleotide inserts create intracellularly expressed peptides. With one vector per cell, each cell becomes an assay for the peptide encoded by that insert Sorting cells with the desired phenotype, and sequencing the insert, can reveal novel regulatory pathways. When the library involves genomic inserts, the assays for the insert can reflect novel pathways of protein-protein interaction The sorting capabilities of flow cytometry have been extended from the 1—10 micron size range into the millimeter size range http: Sorting rates for millimeter sized particles are typically reduced two orders of magnitude from the speeds achieved for micron sized particles.

These new capabilities are adding to the utility of flow cytometry for analysis of chemical and biological diversity. For chemical diversity, combinatorial libraries of small molecules can be displayed on microspheres 40 of sufficient size that the active molecules can be identified by mass spectrometry.

These particles, in a one-bead one-compound OBOC format, can be used in conjunction with binding of fluorescence ligands, or receptors, as well as in cell-based applications to detect chemical species which interact with the desired target. In biological diversity, the new sorting technology may enable the analysis and sorting of small multicellular animals such as C.

These capabilities would amplify the power of flow cytometry for the secondary screening of more complex biological systems.

Flow Cytometry collection

Flow cytometry has traditionally been used for the analysis of individual samples. However, flow cytometers have now been coupled to a variety of input systems. For example, automation of delivery systems of flow cytometers is leading to their use with bioreactors that can be monitored continually 42 , 43 , with multwell plates see below , with subsecond reaction kinetics 10 , and with devices that produce shear forces on cells or cell aggregates to model the environment of flowing blood 44 , This bottleneck precludes the screening of large compound collections.

We have described successive generations of sample handling technology to address this issue. The second uses a peristaltic pump in combination with an autosampler to boost assay throughput 47 , As the sampling probe of the autosampler moves from well to well, a peristaltic pump sequentially aspirates particle suspensions from each well.

Between wells, the running pump draws a bubble of air into the sample line resulting in the devliery of a series of bubble-separated samples. This system has been validated for cell-based high throughput endpoint assays for ligand binding, surface antigen expression, and immunophenotyping.

The particle counting ability of flow cytometry can be adapted for high throughput analysis of compound solubility. The data from all wells of a microplate is collected in a single data file. The time-resolved data, with periodic gaps corresponding to the passage of the sample-separating air bubbles, are analyzed by software. Flow cytometry has been successfully used for small molecule discovery for GPCR 49 — 51 with fluorescent ligand and cell based approaches.

Multiplex data sets are beginning to be generated. The NIH Roadmap aims to accelerate biomedical research and create new tools for discovery.

The MLI is focused on chemical biology and consists of initiatives for individual investigators and centers to discover small molecules useful as biological probes, imaging agents, and potentially as leads for drug discovery. The centers identify active molecules and chemically optimize those molecules for biological activity.

First, through outreach, we are collaboratively developing biological targets for screening See Table 2 , allowing the technology to be shared with the discovery community.

Second, we are exploring unique features of flow cytometry for high content and multiplex screening intended to permit the determination of small molecule selectivity and specificity in a single step. The grant number in Table 2 can be used to track the screening progress and to locate descriptions of the target proposal and the assay. Automation of the HT flow cytometric platform is in process the NM MLSC with a goal of delivering five well plates to a flow cytometer every hour, with 10 parameter or plex assays.

We project that the HT platform, with modifications to the fluidics system, is compatible with sampling in well plates at the same rate as for well plates. We also view the application of flow cytometry to SiRNA libraries as a significant future opportunity. Flow cytometry provides a unique set of capabilities for the analysis of cells and particles with a wide range of applications that include molecular assembly and receptor pharmacology, high content analysis of signaling pathways and images, multiplexing of biological targets, sorting of large particles and small organisms, and plate based analysis for screening and discovery.

Publisher's Disclaimer: This is a PDF file of an unedited manuscript that has been accepted for publication. As a service to our customers we are providing this early version of the manuscript. The manuscript will undergo copyediting, typesetting, and review of the resulting proof before it is published in its final citable form. Please note that during the production process errors may be discovered which could affect the content, and all legal disclaimers that apply to the journal pertain.

National Center for Biotechnology Information , U. Curr Opin Pharmacol. Author manuscript; available in PMC Oct 1. Larry A. Sklar , Mark B. Carter , and Bruce S.

Flow Cytometry

Author information Copyright and License information Disclaimer. Copyright notice. The publisher's final edited version of this article is available at Curr Opin Pharmacol. See other articles in PMC that cite the published article.

Summary While flow cytometry is viewed as a mature technology, there have been dramatic advances in analysis capabilities, sorting, sample handling and sensitivity in the last decade.

Introduction The modern flow cytometer analyzes and sorts cells or particles at rates up to 50, per second. Diversity of biological targets Flow cytometry is compatible with large numbers of biological assays and targets. Molecular Assembly Flow cytometry allows homogeneous detection of molecular assembly, analysis of binding affinity, subsecond resolution of binding kinetics, often with femtomole sensitivity 9 — High Content Flow cytometry provides opportunities for multiplexing 19 and high content analysis that includes pixel by pixel imaging 3 , High Content Analysis of Phosphoprotein Networks Phosphoprotein profiling is a mainstay of bead-based multiplexing where phosphoproteins from cell lysates are first captured by an antibody on a bead and then quantified by a second antibody.

Assay kits, reagents and antibodies for your next discovery

Image Flow Cytometry High content analysis has been extended to an image analysis flow cytometer that combines CCD technologies and an optical architecture for high sensitivity and multispectral imaging of cells 3 , 20 , Sorting Speed and Particle Size Flow cytometry sorts cell populations with the desired phenotype.

Sample Handling and Automation Flow cytometry has traditionally been used for the analysis of individual samples. Open in a separate window. Summary Flow cytometry provides a unique set of capabilities for the analysis of cells and particles with a wide range of applications that include molecular assembly and receptor pharmacology, high content analysis of signaling pathways and images, multiplexing of biological targets, sorting of large particles and small organisms, and plate based analysis for screening and discovery.

Footnotes Publisher's Disclaimer: Sklar LA, editor.

Flow Cytometry for Biotechnology. Oxford University Press; Herzenberg LA, et al. The history and future of the fluorescence activated cell sorter and flow cytometry: Bonetta L. Flow Cytometry, Smaller and Better. Nature Methods. Robinson JP. Flow Cytometry.

Flow cytometry overview

Encyclopedia of Biomaterials and Biomedical Engineering. Marcel Dekker Inc.Multiple fluorescence colors are also used to measure multiple analytes simultaneously with suspension arrays. FMO controls[ edit ] Fluorescence minus one FMO controls are important when building multi-color panels - it is used to properly interpret obtained data.

Immunophenotyping is the analysis of heterogeneous populations of cells using labeled antibodies [36] and other fluorophore containing reagents such as dyes and stains. A simple and powerful flow cytometric method for the simultaneous determination of multiple parameters at G protein-coupled receptor subtypes. Ultra-high-throughput screening based on cell-surface display and fluorescence-activated cell sorting for the identification of novel biocatalysts. The publisher's final edited version of this article is available at Clin Lab Med See other articles in PMC that cite the published article.

New multiple laser flow cytometers and new probes, including semiconductor nanocrystals quantum dots , have recently extended the capabilities of flow cytometry to resolve 17 fluorescence emissions 23 , They also analyzed IFN-gamma signaling in cells from primary mouse splenocytes, revealing differences in sensitivity and kinetics between T cell and B cell subsets.

GERMAINE from Lancaster
I relish studying docunments frankly . Browse my other articles. I take pleasure in microscopy.
>