Multi-parameter Facs
Multi-parameter Facs - Related Videos
17:07
Flow Cytometry and Fluorescence-Activated Cell Sorting (FACS): Isolation of Splenic B Lymphocytes
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2023
Source: Perchet Thibaut1,2,3, Meunier Sylvain1,2,3, Sophie Novault4, Rachel Golub1,2,3 1 Unit for Lymphopoiesis, Department of Immunology, Pasteur Institute, Paris, France 2 INSERM U1223, Paris, France 3 Université Paris Diderot, Sorbonne Paris Cité, Cellule Pasteur, Paris, France 4 Flow Cytometry Platfrom, Cytometry and Biomarkers UtechS, Center for Translational Science, Pasteur Institute, Paris, France The overall function of the immune system is to defend the body against infectious...
06:04
Murine Dermal Fibroblast Isolation by FACS
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Cited by 28 •
2016
Fibroblast behavior underlies a spectrum of clinical entities, but they remain poorly characterized, largely due to their inherent heterogeneity. Traditional fibroblast research relies upon in vitro manipulation, masking in vivo fibroblast behavior. We describe a FACS-based protocol for the isolation of mouse skin fibroblasts that does not require cell culture.
07:36
Isolation of Human Lymphatic Endothelial Cells by Multi-parameter Fluorescence-activated Cell Sorting
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Cited by 11 •
2015
The goal of this protocol is to isolate lymphatic endothelial cells lining human lymphatic malformation cyst-like vessels and foreskins using fluorescence-activated cell sorting (FACS). Subsequent cell culturing and expansion of these cells permits a new level of experimental sophistication for genetic, proteomic, functional and cell differentiation studies.
13:42
Multi-parameter Measurement of the Permeability Transition Pore Opening in Isolated Mouse Heart Mitochondria
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Cited by 19 •
2012
A spectrofluorometric protocol for the measurement of the mitochondrial permeability transition pore opening in isolated mouse heart mitochondria is presented here. The assay involves the simultaneous measurement of mitochondria Ca2+ handling, mitochondrial membrane potential and mitochondrial volume. The procedure for obtaining high-quality and functional heart mitochondria is also described.
11:19
ODELAY: A Large-scale Method for Multi-parameter Quantification of Yeast Growth
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Cited by 4 •
2017
We present a method for quantifying growth phenotypes of individual yeast cells as they grow into colonies on solid media using time-lapse microscopy termed, One-cell Doubling Evaluation of Living Arrays of Yeast (ODELAY). Population heterogeneity of genetically identical cells growing into colonies can be directly observed and quantified.
FAQs
It distinguishes cells by combining several measurements from the same individual cell, including scattered light and fluorescence from labeled probes. The resulting pattern of physical and fluorescent characteristics allows populations with different profiles to be identified and selected. This multidimensional approach is especially useful when biologically distinct cells cannot be separated using a single characteristic.
Fluorophore-conjugated antibodies and other probes provide fluorescent signals that detectors can measure as cells pass through the laser beams. Because multiple signals can be recorded together, the method supports detailed characterization of cellular populations according to several fluorescent features. In biomedical studies, this labeling strategy helps reveal differences among immune cells and disease-related cell populations.
Electrostatic deflection converts measurement into physical separation. After the instrument identifies droplets containing selected cells, an electrostatic system directs those droplets into different collection vessels. This makes it possible not only to profile a mixed sample, but also to recover chosen populations for further study, including rare cells or enriched stem-cell populations.
The combined measurements provide a multidimensional profile of individual cells rather than a single bulk-sample signal. Scattered light contributes physical characteristics, while fluorescence reports features associated with the applied antibodies or probes. Comparing these profiles helps researchers identify cellular subpopulations, examine disease-related changes, and assess the composition of complex biological samples.
In medicine, the technique supports immune-cell profiling, leukemia and lymphoma characterization, rare-cell isolation, and stem-cell enrichment. These applications allow investigators to examine cellular patterns associated with health or disease and to obtain selected populations for research. Its ability to analyze multiple characteristics contributes to treatment research and investigations related to personalized medicine.
It is particularly valuable when a sample contains diverse cell populations and the relevant differences involve more than one physical or fluorescent characteristic. Multi-parameter measurements can help characterize leukemia and lymphoma cells, profile immune populations, or isolate rare cells. The resulting cellular information supports disease investigation, clinical research, and evaluation of patterns relevant to individualized care.