Flow Cytometry Methods for Cell Proliferation and Cell Cycle Analysis

Author: Mike Blundell | Reviewer: Chloe Fenton

What Is Proliferation and Cell Cycle Analysis in Flow Cytometry?

Proliferation and cell cycle analysis in flow cytometry refers to techniques used to measure cell division and DNA content at the single-cell level. Proliferation can be assessed using markers such as Ki67 or DNA incorporation assays like BrdU, while cell cycle distribution is determined using DNA-binding dyes such as propidium iodide (PI) or DAPI.

How Is Cell Proliferation Measured by Flow Cytometry?

Cell proliferation can be measured by flow cytometry using several methods. For an overview of the techniques and reagents available from Bio-Rad, visit our dedicated proliferation measurement by flow cytometry website. While simple differences in the forward and side scatter will indicate if there are some changes in the cell cycle, more accurate methods are available. One method is to stain with an antibody against a proliferation marker such as Ki67, MCM2, or PCNA. Alternatively, you can incubate your cells with BrdU, which incorporates into DNA during the S-phase of the cell cycle. Incorporated BrdU can be detected using fluorescently labeled anti-BrdU antibodies. When combined with a DNA stain such as PI or DAPI, the relative proportion of cells in S-phase can be determined.

Flow cytometry plots showing BrdU vs DNA staining to identify G1, S, and G2 cell cycle phases using Hoechst and PI

Fig. 34. BrdU staining for proliferation. Proliferating cells were stained for incorporated BrdU against total DNA content using A. Hoechst or B. propidium iodide. BrdU was detected by labeling a mouse primary anti-BrdU antibody (MCA2483) with the appropriate secondary antibody attached to a fluorophore.

In addition to using antibodies, cytoplasmic dyes, such as CFDA-SE, can be used to measure proliferation. Cells are incubated with the protein binding dyes and as the labeled cells divide, the concentration of the dye is halved and proliferation is measured based upon the reduced levels of fluorescence in subsequent generations. The advantage of these dyes is that they are non-toxic and available in a wide variety of colors, so can be combined with immunophenotyping and do not require the sample to be fixed.

Which Method Should You Use to Measure Cell Proliferation?

The different methods of cell proliferation analysis in flow cytometry.

Method What It Measures Live Cells Complexity Best Use Case
Ki67/MCM/PCNA Protein expression Yes Low General proliferation assessment
BrdU incorporation DNA synthesis (S-phase) No (requires fixation) Medium Cell cycle-specific proliferation
CFDA-SE/cytoplasmic dyes Cell division tracking Yes Medium Multi-generation proliferation studies
DNA dyes (PI, DAPI) DNA content No (typically fixed) Low Cell cycle distribution
 

How Do You Choose the Right Proliferation or Cell Cycle Analysis Method?

  • Use Ki67/MCM/PCNA—for a quick overview of proliferating cells
  • Use BrdU—when specifically analyzing DNA synthesis and S-phase cells
  • Use CFDA-SE or similar dyes—for tracking multiple rounds of cell division
  • Use DNA dyes (PI, DAPI)—for determining cell cycle phase distribution (G1, S, G2/M)

Cell Cycle Determination

The proportion of cells within each stage of the cell cycle can be determined using DNA binding dyes such as PI, 7-AAD, Hoechst 33342, and DAPI that bind in a stoichiometric manner. This way cells in G2, which have twice as much DNA as cells in G1, will fluoresce twice as bright. To ensure good staining, the cells should be fixed in cold 70% ethanol. However, this can interfere with other staining protocols. 

See our protocols section for advice on the different methods.

Cell cycle analysis is usually measured on a linear scale unlike most flow cytometry, which uses a logarithmic scale, as the differences in fluorescence are usually smaller. It is important to gate out any doublets from the data and the data can be improved by using a low flow rate on the cytometer. Many flow cytometry software programs now offer algorithms to accurately estimate the cell cycle phases.


  

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Resources

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