We provide a detailed description of a protocol for flow cytometric analysis of surface antigens and/or intracellular antigens in neural cell types. Critical aspects of experimental planning, step-by-step methodological procedures, and fundamental principles of flow cytometry are explained in order to enable neurobiologists to exploit this powerful technology.
Flow cytometry has been extensively used to define cell populations in immunology, hematology and oncology. Here, we provide a detailed description of protocols for flow cytometric analysis of the cluster of differentiation (CD) surface antigens and intracellular antigens in neural cell types. Our step-by-step description of the methodological procedures include: the harvesting of neural in vitro cultures, an optional carboxyfluorescein succinimidyl ester (CFSE)-labeling step, followed by surface antigen staining with conjugated CD antibodies (e.g., CD24, CD54), and subsequent intracellar antigen detection via primary/secondary antibodies or fluorescently labeled Fab fragments (Zenon labeling). The video demonstrates the most critical steps. Moreover, principles of experimental planning, the inclusion of critical controls, and fundamentals of flow cytometric analysis (identification of target population and exclusion of debris; gating strategy; compensation for spectral overlap) are briefly explained in order to enable neurobiologists with limited prior knowledge or specific training in flow cytometry to assess its utility and to better exploit this powerful methodology.
Flow cytometry has been extensively exploited in immunology, hematology and oncology to define cell populations via intrinsic scatter properties, cell surface antigen expression, and other fluorescence parameters1-3. Our insights into blood lineage development and disease are a result to a significant degree of the continuous refinement of this methodology after its initial implementation4,5. Increased awareness of the quantitative and overall analytic potential of flow cytometry has recently encouraged its more widespread use in stem cell research and may enable similarly profound progress in a shorter time frame6. However, the application of flow cytometry to specifically analyze and isolate neural populations has long been perceived as challenging. In contrast to hematopoietic cells that naturally exist in suspension, neural cell types are typically harvested from excessively complex sources that may include glia and various other surrounding cells as well as an intricate network of process-bearing neurons. Consequently, neurobiology has yet to implement the versatility of flow cytometry to its complete potential in daily research routines. However, as long as a viable single cell suspension can be generated (and protocols have been devised and optimized for that purpose7), flow cytometry and fluorescence-activated cell sorting (FACS) can be considered a valuable element of the analytical repertoire in neurobiology8-11.
Figure 1. Principle of flow cytometric analysis and components of a flow cytometer. Flow cytometers comprise three main systems: fluidics, optics and electronics. A streamlined flow of cells in suspension (prepared from primary tissue or in vitro culture) is accomplished by the sheath fluid via hydrodynamic focusing, restricting the sample to its center core. The optical parts are composed of lasers that illuminate the stream of cells and optical filters that direct the signal to the appropriate detectors. The light signals detected are converted to electronic signals, subsequently processed by a computer and visualized on a monitor for data analysis and gating. Please click here to view a larger version of this figure.
Users of flow cytometric methods profit from at least a basic understanding of the underlying fundamentals including a cytometer’s building blocks (for review see12,13; also see Figure 1). A laser beam intersects with a hydrodynamically focused fluidic stream that contains the cells in suspension, which in turn pass through the laser beam in ‘single file’ one after another. The interception of a cell (or any other particle, for that matter) with the laser results in the scattering of light from this interrogation point. Scattered light can be detected in continuation of the laser direction (forward scatter, associated with the size of the particle), as well as perpendicular to its direction (side scatter; reflecting the granulosity of the particle/cell). These aforementioned scatter properties do not require specific labeling, which is why an unlabeled sample (or also cellular debris, air bubbles, etc.) will generate a signal (event) on the bivariate forward scatter versus side scatter plot commonly used for initial gating. By using the appropriate lasers and filters specific for the corresponding excitation and emission spectra, a cell can be analyzed for its positivity, level of intensity, or absence of fluorescent markers. The majority of flow cytometric applications have focused on characterization via cell surface antigens. Unlike the hematopoietic lineage, the neural lineage has remained less extensively defined according to surface epitope expression patterns5. One advantage of exploiting surface antigens is that live cells can be subjected to cell sorting paradigms such as FACS. In contrast, intracellular antigen staining requires fixation and permeabilization steps to mediate the epitope-antibody interaction, precluding downstream applications that require viable cells. Of note, such approaches still allow for numerous quantitative assays14 as well as downstream analyses for RNA and protein expression15. Hematology, immunology and oncology have often used more than a dozen markers in conjunction to define particular subpopulations16. Additionally, mass cytometry or CyTOF can now be used to analyze up to 30 parameters simultaneously17,18.
For neural stem cell applications as well as primary cultures14,19,20 the heterogeneity of cells in vitro is a common phenomenon21-23. The cells not representing the target population of interest embody a potentially confounding factor for experimental readout24,25. Conveniently, the different cellular subsets present within a heterogeneous cell suspension bear distinct (known or yet to be deciphered) antigen expression profiles, which can be utilized to define these various populations. Flow cytometry can hence play a crucial role in resolving cellular heterogeneity and, thereby, facilitate biomedical applications (in vitro assays, cell therapy) and optimize quantitative readout by focusing on the most relevant subset24,26. Various surface antigen combinations have been identified over the past few years to allow the quantitation and isolation of specific neural cell types. This includes CD133 for the enrichment of neural stem cells27, a combination of the CD15/CD24/CD29 surface antigens for the isolation of NSC, differentiated neuron and neural crest cells28 or CD15/CD24/CD44/CD184/CD271 to isolate neural and glial subsets25, among other signatures29,30. Beyond neurons, glial markers include A2B531, CD4425, NG232 and GLAST33. A recent publication has exploited the midbrain floorplate precursor marker CORIN34,35 to enrich for dopaminergic precursors in Parkinson cell transplantation paradigms36. CD molecules are not only markers, but functionally relevant mediators of cell-cell interactions and of a cell’s ability to respond to cues from extracellular matrix molecules and growth factors37. One strategy of further enhancing the arsenal of combinatorial CD antigens to characterize neural lineage development is to use known intracellular markers to screen for and define CD antigen combinations for a particular cell type of interest. We have recently exploited such an approach and identified CD49f–/CD200high combinatorial expression patterns as a novel approach for enriching neuronal subsets from neurally differentiated induced pluripotent stem cell culture systems38. Here, we include and discuss the latter protocol (and optional variations thereof) in which surface staining and intracellular staining can be used simultaneously for defining neural cell subpopulations by flow cytometry.
Figure 2. Flow diagram of experimental protocol options. The figure depicts a schematic representation of the major steps involved in the protocol. Optional steps (CFSE dye or intracellular antigen labeling) are indicated by light grey boxes. After harvesting, it is essential to assess the viability and cell number of neural cell suspensions prior to cell surface staining. Positive as well as negative controls need to be included in addition to the samples of interest. Samples can be analyzed by flow cytometric analysis and/or used in cell sorting paradigms. Please click here to view a larger version of this figure.
While we have previously used primary antibody in combination with secondary antibody for intracellular staining38, we now introduce non-covalent labeling of the primary antibody via fluorescent Fab fragments (Zenon labeling) as a slight variation, thereby reducing the steps of cell manipulation39. Moreover, as a further example of the protocol’s versatility, we employ an optional labeling of one experimental subset by carboxyfluorescein succinimidyl ester (CFSE) prior to surface antigen staining. Such CFSE pre-labeling enables the immediate direct comparison of two cell lines or experimental conditions (CFSE-labeled vs. unlabeled) within a single sample tube, reducing variance or subtle differences in incubation time and saving antibody. CFSE is an established fluorescent dye that is commonly used for cell tracking40, in proliferation41,42 and barcoding experiments43,44. Finally, while actual sorting steps (FACS, immunomagnetic cell separation or immunopanning) are not part of this protocol, in principle, the harvesting and labeling procedures described here do yield samples that can be subjected to surface antigen- or intracellular labeling-based sorting applications15 25,28.
With this article, we aim to: summarize a viable surface antigen staining protocol25,28, summarize a protocol for detection of intracellular targets as well as combined surface and intracellular antigen analysis38, present an intracellular CFSE dye labeling step41,45 as an experimental option for comparative analyses of neural cell populations, and summarize approaches to flow cytometric analysis (appropriate controls13,46, gating strategy and data presentation47).
1. Neural Cell Harvesting
2. Intracellular Dye Labeling Using CFSE (Figure 3)
Figure 3. Detection of differential CD surface antigen expression between two cell lines via CFSE dye labeling. SH-SY5Y neuroblastoma cells are pre-labeled with CFSE for subsequent identification in comparison to unlabeled BJ fibroblasts. Co-staining of the mixed sample (right panels) with surface markers CD24 or CD54 (both conjugated to APC) demonstrates that cell lines are easily distinguishable due to the CFSE staining (arrows = SH-SY5Y; arrowheads = BJ fibroblasts). The majority of SH-SY5Y cells express CD24 but not CD54 (ICAM-1). In contrast, BJ fibroblasts (CFSE-negative) are positive for CD54 but largely negative for CD24. Please click here to view a larger version of this figure.
3. Cell Surface Staining
Tube no. | Sample name | Antigen-fluorophore | Dilution |
1 | Unstained cells | – | |
2 | Single stained | CD24-APC | 1:50 |
3 | Single stained | TUJ1-Alexa fluor 488nm | 1:2,000 |
4 | Double stained | CD24-APC | 1:50 |
TUJ1-Alexa fluor 488nm | 1:2,000 | ||
5 | Single stained | Secondary only: Alexa fluor 488nm | 1:2,000 |
Table 1. List of tubes to be included in a typical flow cytometry experiment. The table shows a minimal set of sample tubes required for a co-staining experiment described in this video article. An ideal experiment needs to include all necessary controls (negative, positive as well as compensation controls) for accurate interpretation of the results obtained.
Antigen | Cell Type | Reference |
CD15 | Neural stem cells | [28, 67] |
CD24 | Neuronal cells | [28, 68] |
CD29 | Neural stem cells | [28, 69, 70] |
CD44 | Glial cells | [25] |
CD49f | Neural stem cells | [38] |
CD56 (NCAM) | Neuronal cells | [71] |
CD133 | Neural stem cells | [27] |
CD184 | Neural stem cells and glial cells | [25] |
CD200 | Neuronal cells | [38] |
CD271 | Neural crest stem cells | [25] |
A2B5 | Glial cells | [31] |
CORIN | Dopaminergic precursors | [35, 36] |
FORSE1 | Neural stem cells (NSC) | [72 ] |
GLAST | Glial cells | [33] |
NG2 | Glial cells | [32] |
Table 2. Selection of neural surface antigens. This table provides a list of surface epitopes found to be expressed by various neural cell types to exemplify the increasing panel of surface antigens used to characterize the neural lineage. Note that this selection is far from being complete and that most of these markers are also expressed by a range of other neural and non-neural cells. Consequently, combinations of several markers will be required to better define and isolate the indicated neural subsets.
4. Fixation and Permeabilization38
5. Intracellular Antigen Staining38 (Figure 4)
Figure 4. Co-staining of surface and intracellular proteins. Flow cytometry data exemplifies a comparison between primary + secondary antibody-based versus Zenon fluorescein-based intracellular staining in combination with surface staining. Exclusive positivity on the y-axis (upper left quadrant) and the x-axis (lower right quadrant) shows cells stained for MAP2 and CD24, respectively. After co-staining, shared MAP2 and CD24 expression can be seen in the upper right quadrant (right panels). Comparison of using Alexa fluor 488 (top; AF488) versus Zenon fluorescein (bottom) for MAP2-labeling yields similar results. Please click here to view a larger version of this figure.
6. Flow Cytometric Analysis
The protocol presented here allows for versatile experimental approaches (Figure 2). In its shortest version (steps 1, 3 and 6), it can be considered a guide for simple staining of surface antigens. In its more complex form, a number of co-labeling paradigms with a range of intracellular antigens can be pursued (optional steps 2 and/or 4 auf 5). Moreover, the CFSE-labeling step exemplifies its utility for cell labeling/tracking of subpopulations in cell-cell interaction studies or flow cytometric barcoding experiments (step 2). Viable cell populations (obtained from steps 2 and/or 3) are amenable to cell sorting paradigms (FACS) and downstream analysis including post-sort cell culture. On the other hand, the combined intracellular and surface antigen staining (steps 3 auf 5) provides analytical readout opportunities in its own right. For example, identifying co-localization of certain CD antigens on particular subsets of neural cell populations (applied by us in Turaç et al.38 to identify CD49f–/CD200high signatures for neuronal FACS). These and other example neural markers are provided in Table 2, of which CD15, CD29, CD49f and FORSE1, are primarily associated with neural stem cells, and CD24 and CD56 are abundant on neuronal cells. While few of these markers are exclusive, different staining intensities and multivariate expression analysis can help to identify specific marker sets for analysis and isolation of particular neural subpopulations.
Figure 3 exemplifies typical results obtained from the combinatorial usage of intracellular dye and surface staining. The data show how two distinct cell populations can easily be distinguished in a mixed sample due to the prior labeling of one of the populations. Here, SH-SY5Y neuroblastoma cells were labeled with CFSE, and exhibit fluorescence in the green channel (FL1; y-axis) that is clearly separate from the unstained second population, in this case BJ fibroblasts. While well-established characteristic fibroblast (CD54) and neural (CD24) markers are shown (present on their respective target populations; FL2 or FL4 fluorescence, respectively; x-axis) analogous approaches can be exploited to screen for additional unidentified antigens. Furthermore, the effects of cell-cell interactions of two (or more) subpopulations that were labeled prior to co-culture experiments can be studied in this manner.
Figure 4 shows the unstained SH-SY5Y cells as well as samples stained for CD24-APC and/or the intracellular neuronal MAP2 antigen (FITC channel) after fixation and permeabilization. As the latter can affect scatter properties, background fluorescence and surface epitope staining, the plots serve to document maintained surface expression of neural CD24 after intracellular staining. Moreover, the co-localization of neuronal MAP2 staining on the CD24-positive fraction is shown. It is critical to ensure faithful detection of the surface antigen by comparison to CD24 surface expression on live cells. Moreover specificity of the intracellular detection over background, non-specific antibody binding and autofluorescence needs to be confirmed. Detection of intracellular antigens via Zenon fluorescence-based or primary + secondary antibody-based strategies yields comparable results, which provides a rationale for considering this more time-efficient approach (skipping step 5.3). While the protocol is robust and enables the combined detection of a range of surface and intracellular markers with limited background fluorescence, it is recommended to closely adhere to the incubation times and washing steps provided in the protocol. Moreover, it is advisable to analyze at least three independent experimental repeats and to note that labeling intensity and surface epitope stability can be marker-specific and may require further optimization. Once established for a particular target, despite lacking the ability to analyze morphological features, flow cytometric detection of surface and intracellular antigens or intracellular antigens alone is compatible with conventional fluorescence microscopy.
The protocol presented here is well established for neural cell cultures derived from human stem cells, but can be equally applied to other neural cell sources including primary tissue or neural cell lines. In addition to embryonic sources, neural stem or progenitor cells can be extracted from the neurogenic regions of adult brain27. Moreover, flow cytometry and FACS can be exploited to quantify, analyze and isolate various cell populations including mature neurons54, astroglia33, microglial55, oligodendrocytes56, or endothelial cells57 from postnatal brain tissue.
Regardless of the source, optimal conditions for fixation and permeabilization need to be determined for each cell type experimentally, as excess of either of the steps could lead to a massive change of scatter properties affecting flow cytometric readout. Efficiency of the protocol also depends on the stability of the surface molecules post permeabilization. It should be noted that different surface epitopes can be affected by cell manipulation as part of the procedure to varying degrees. Also enzymatic harvesting with trypsin replacement or liberase-1, for instance, may affect a range of cell surface epitopes but to a lesser degree compared to the usage of Accutase or papain7.
Specific epitopes may be affected by the same treatment paradigm to a varying degree: while VCAM-1 (Vascular cell adhesion protein-1; CD106) can be affected by harvesting, dissociation, fixation and permeabilization in a quite sensitive manner, ICAM-1 (Intercellular Adhesion Molecule-1; CD54) may display a more robust expression pattern preserved throughout the procedure58.
While previously either surface25,28 or intracellular antigen labeling14 have been applied in neurobiology paradigms, approaches combining both methods38 can yield novel neural surface antigen candidates and provide additional cytometric readout options.
We routinely conduct the surface staining step prior to intracellular antigen staining and have used that strategy to expand our set of surface markers for neuropoiesis38 using a range of human neural cell lines. Titration of antibodies and incubation times will need to be optimized for the respective cell types, target epitopes and experimental paradigm. Similarly, the CFSE concentration and the amount of cells used per staining must be optimized for each cell line, as not all cell lines stain in an identical fashion with the same amount of CFSE concentration.
CFSE has a peak excitation of 494 nm and peak emission of 521 nm (green channel; FL-1 detector), hence any fluorescence spillover to other channels needs to be compensated to determine specific fluorescence emission. Alternative dyes such as Cell Trace Violet (CTV), Cell Proliferation Dye eFluor 670 (CPD), Horizon V550, Horizon V450 have been successfully tried and tested to be used instead of CFSE59,60.
In flow cytometry, it is critical to determine the actual specific fluorescent signal from background. Therefore, the most appropriate controls have to be carefully chosen, and may include using a non-neural or otherwise negative cell line to underline antibody specificity (so called internal negative controls38,46). Autofluorescence of each cell source must be taken into account. Isotype controls can be considered largely dispensable in most neural cell detection paradigms13,46.
Given the considerable variation observed in cell culture systems (particularly those derived from stem cells) and of the staining procedure, the inclusion of biological replicates is strongly recommended. It should be noted that usage of genetic reporters is another way to use neural flow cytometry61,62. Recently, Maroof et al. used an Nkx2.1-GFP reporter approach to sort distinct cortical-like neuronal subpopulations from human embryonic stem cells63.
An up-and-coming field is represented by the exploration of neural exosomes in biomedical areas as diverse as tumor biology and neurodegeneration64, and flow cytometry of exosomes or their isolation by bead-based assays provides important tools for this quest65. For related video protocol see66.
The authors have nothing to disclose.
Our research program is funded through the Emmy Noether-Program of the German Research Foundation (DFG), grant PR1132/3-1. Further support by the Müller-Fahnenberg Foundation of the University of Freiburg is gratefully acknowledged. This study was supported in part by the Excellence Initiative of the German Research Foundation (GSC-4, Spemann Graduate School).
DMEM/F12 (1:1) (Dulbecco's Modified Eagle Medium/Nutrient Mixture F-12) | Life Technologies | 11330057 | www.lifetechnologies.com | |
DPBS without Ca2+ Mg2+ | Life Technologies | 14190169 | www.lifetechnologies.com | |
Fetal bovine serum, qualified, E.U.-approved, South America origin (FBS) | Life Technologies | 10270-106 | www.lifetechnologies.com | |
MEM Non-essential amino acids (100 x) | Life Technologies | 11140035 | www.lifetechnologies.com | |
TrypLE Express | Life Technologies | 12604013 | www.lifetechnologies.com | |
Trypan blue solution, 0.4% | Life Technologies | 15250061 | www.lifetechnologies.com | |
Paraformaldehyde | Carl Roth | 335.3 | www.carlroth.com | |
Bovine serum albumin (BSA) Fraction V | PAA Laboratories, Coelbe | K41-001 | www.gelifesciences.com | |
Tween-20 Detergent | Calbiochem | 655205 | www.merckmillipore.de | |
Carboxyfluorescein succinimidyl ester (CFSE) | eBioscience | 65-0850-84 | www.ebioscience.com | |
DMSO | AppliChem | A1584 | www.applichem.com | |
Bottle top filters express plus 0.22 µm, 250 ml | Millipore | SCGPU02RE | www.millipore.com | |
Cell culture treated flasks (T 25) | NUNC | 156367 | www.thermoscientific.com | |
Cell culture treated flasks (T 75) | NUNC | 156499 | www.thermoscientific.com | |
Conical tubes (15 ml) | Greiner Bio-One | 188271 | www.greinerbioone.com | |
Conical tubes (50 ml) | Greiner Bio-One | 227261 | www.greinerbioone.com | |
Pasteur pipet, glass (150 mm) | STEIN Labortechnik, Remchingen | S03710150 | www.stein-labortechnik.de | |
Pipet tips (0.1-10 µl) | Corning | 4125 | www.corning.com | |
Pipet tips (1-200 µl) | Corning | 4126 | www.corning.com | |
Pipet tips (100-1000 µl) | Corning | 4129 | www.corning.com | |
Serological pipets, 5 ml | Corning | 4051 | www.corning.com | |
Serological pipets, 10 ml | Corning | 4101 | www.corning.com | |
Serological pipets, 25 ml | Corning | 4251 | www.corning.com | |
Microcentrifuge tubes (0.5 ml) | Sarstedt | 72,699 | www.sarstedt.com | |
Microcentrifuge tubes (1.5 ml) | Greiner Bio-One | 616201 | www.greinerbioone.com | |
Microcentrifuge tubes (2.0 ml) | Sarstedt | 72,695,500 | www.sarstedt.com | |
Anti-Human CD24 APC monoclonal antibody | eBioscience | 17-0247-42 | www.ebioscience.com Working dilution 1:50 |
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Anti-Human CD54 PE monoclonal antibody | eBioscience | 12-0549-42 | www.ebioscience.com Working dilution 1:50 |
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Neuronal Class III β-Tubulin (Tuj1) polyclonal antibody | Covance | PRB-435P | www.covance.com Working dilution 1:2000 |
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Alexa Fluor 488 Donkey anti Rabbit | Life Technologies | A21206 | www.lifetechnologies.com Working dilution 1:2000 |
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Zenon® Fluorescein Rabbit IgG Labeling Kit | Life Technologies | Z-25342 | www.lifetechnologies.com | |
Neubauer-Improved counting chamber | Marienfeld | 0640010 | www.marienfeld-superior.com | |
Vortex | Scientific Industries | G560E | www.scientificindustries.com | |
Thermomixer comfort | Eppendorf | 5355 000.001 | www.eppendorf.com | |
Accuri C6 flow cytometer | Becton Dickinson (BD) | 653118 | www.bdbiosciences.com/instruments/accuri | |
Microcentrifuge refrigerated, PerfectSpin 24 R | Peqlab | 91-PSPIN-24R | www.peqlab.de | |
Orbital shaker, Unimax 1010 | Heidolph | 543-12310-00 | www.heidolph-instruments.de | |
Centrifuge refrigerated, Rotanta 96 RC | Hettich | 4480-50 | www.hettichlab.com | |
Class II Biological safety cabinet Safe 2020 | Thermo Scientific | 51026640 | www.thermoscientific.com | |
CO2 Incubator, Heracell 240i | Thermo Scientific | 51026331 | www.thermoscientific.com | |
Vacuum system, Vacusafe comfort | Integra Biosciences | 158320 | www.integra-biosciences.de | |
Microscope, Axiovert 40 CFL | Zeiss | 451212 | www.zeiss.de | |
Pipet controller, accu-jet pro | Brand | 26303 | www.brand.de | |
Micropipet, Pipetman neo P20N (2-20 µl) | Gilson | F144563 | www.gilson.com | |
Micropipet, Pipetman neo P200N (20-200 µl) | Gilson | F144565 | www.gilson.com | |
Micropipet, Pipetman neo P1000N (100-1000 µl) | Gilson | F144566 | www.gilson.com |