Controls in Flow Cytometry

Abstract: Controls play an important role in flow cytometry. Accurate and reliable results can’t be obtained without proper controls. First, signals are relative(e.g. diffused light and fluorescence signal). Thus, blank or unstained control is required to define signal range. Second, during setting gating of the target cell population, various controls help to determine the gating position. Finally, controls can evaluate effectiveness of experimental operation. Commons FACS controls include blank control, unstained control, positive control and negative control.

Keywords: FACS Control, Flow Cytometry, Blank Control, Compensation Control, Isotype Control, Controls in Flow Cytometry

1. Blank Control

Background fluorescence or auto-fluorescence in flow cytometry usually distinguishes cell type, and helps to regulate voltage or gain of the device, thereby confirming the probable position of negative cell population. However, these controls in multicolour assay are usually not applied in accurate distinction between negative and positive cell population. Researchers usually accurately distinguish different cell populations via more accurate negative and positive control. Appropriate controls are very important to get reliable experimental results.

Blank Control - Controls in Flow Cytometry

2. Compensation Control

Compensation control mainly regulates fluorescence compensation. The number of fluorescence dyes used in fully-stained samples determines the number of single-stained tubes. Compensation control can use cells or microspheres, e.g. For double-stained samples with FITC and PE, single-stained tubes for FITC, PE and unstained-control tube are required to ensure accurate compensation setting, effectively reducing overlapped fluorescence signal-induced interference to improve the accuracy of experimental results.

Compensation Control

3. FMO (Fluorescence Minus One) and Biological Control

Setting proper control group plays a key role in successful flow cytometry, and can effectively avoid false positive and negative results. Five types of controls should be included in flow cytometry at least: blank control, isotype control, single-stain control, FMO (fluorescence minus one) control, biological control. These controls contribute to instrument calibration, evaluation of background signal, confirmation of compensation value, validation of rational experimental design to improve data accuracy and reliability. The meticulous setting of control groups can ensure the validity and reproducibility of experimental results.

FMO Control

4. Isotype Control

Isotype control refers to antibodies without specific binding with the target(irrelevant to Fab fragment), sharing the same species, subtype and fluorescent marker as flow cytometry antibodies. In cells expressing Fc receptor on the surface(e.g. monocyte, dendritic cell, macrophage etc), non-specific binding with Fc fragment and some fluorescence dyes may happen. Thus, isotype control usually removes non-specific staining. However, setting of gating range in multicolour assay usually uses FMO control instead of Isotype control.

Isotype Control

5. How to Select Controls in Flow Cytometry

In flow cytometry, blank and single positive control can regulate voltage and compensation. Other controls assist to distinguish negative and positive cell population. Control type depends on experimental type, e.g. apoptosis assay usually requires for blank control, single-stain control and biological control.

6. FCM Colour Matching for Immunocyte Subpopulations

Recommended Flow Cytometry Antibodies
Species Cell Populations Flow Cytometry Antibody Combination Cat.No
Human T/B/NK cell populations detection CD45-PerCP PCP-30039
CD3-FITC FITC-30004
CD16-PE PE-30061
CD56-PE PE-30008
CD19-APC APC-30066
Human Thl/Th2 cell populations detection CD3-PerCP/Cyanine5.5 PCP55-30004
CD4-FITC FITC-30005
IFN-γ-PE PE-30053
IL4-APC APC-30043
Mouse Thl/Th2 cell populations detection CD3-PerCP/Cyanine5.5 PCP55-30002
CD4-FITC FITC-30001
IFN-γ-PE PE-30074
IL4-APC APC-30026
Human Treg cell populations detection CD4-FITC FITC-30005
CD25-PE PE-30035
CD127-APC APC-30033
Mouse Treg cell populations detection CD4-FITC FITC-30001
CD25-PE PE-30017
FOXP3-APC APC-30055

REFERENCES

[1]Flow cytometry identifies changes in peripheral and intrathecal lymphocyte patterns in CNS autoimmune disorders and primary CNS malignancies, PMID: 39497174.
[2]Nanoscale flow cytometry-based quantification of blood-based extracellular vesicle biomarkers distinguishes MCI and Alzheimer's disease, PMID: 38958575.

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