We describe herein a simple analysis of the heterogeneity of the murine immune B cell compartment in the peritoneum, spleen, and bone marrow tissues by flow cytometry. The protocol can be adapted and extended to other mouse tissues.
Extensive studies have characterized the development and differentiation of murine B cells in secondary lymphoid organs. Antibodies secreted by B cells have been isolated and developed into well-established therapeutics. Validation of murine B cell development, in the context of autoimmune prone mice, or in mice with modified immune systems, is a crucial component of developing or testing therapeutic agents in mice and is an appropriate use of flow cytometry. Well established B cell flow cytometric parameters can be used to evaluate B cell development in the murine peritoneum, bone marrow, and spleen, but a number of best practices must be adhered to. In addition, flow cytometric analysis of B cell compartments should also complement additional readouts of B cell development. Data generated using this technique can further our understanding of wild type, autoimmune prone mouse models as well as humanized mice that can be used to generate antibody or antibody-like molecules as therapeutics.
Monoclonal antibodies have increasingly become the choice therapy for many human diseases as they become part of mainstream medicine1,2. We have previously described genetically engineered mice which efficiently produce antibodies harboring fully human variable regions with mouse IgH constants3,4. Most recently, we have described genetically engineered mice that produce antibody-like molecules that have distinct antigen-binding5. Antibodies are secreted by B cells and form the basis of adaptive humoral immunity. There are two distinct types of B cells, B-1 and B-2. In mammals, B-1 cells originate in the fetal liver and are enriched in mucosal tissues and the pleural and peritoneal cavities after birth, while B-2 cells originate in the fetal liver prior to birth and thereafter in the bone marrow (BM). B-2 cells are enriched in secondary lymphoid organs including the spleen and blood6,7,8. In the BM, B-2 hematopoietic progenitors start to differentiate to pro-B cells upon the initiation of Ig mu heavy chain rearrangement9,10. Successful rearrangement of Ig heavy chain and its assembly into the pre-B cell receptor (pre-BCR), along with signaling and proliferative expansion, leads to differentiation to pre-B cells. After pre-B cells rearrange their Ig kappa (Igκ), or if unproductive, Ig lambda (Igλ) light chains, they pair with μ heavy chain, resulting in surface IgM BCR expression. It is important to point out that IgM surface expression is known to be reduced under conditions of autoreactivity, thus contributing to self tolerance in functionally unresponsive or anergic B cells11,12. Immature B cells then enter a transitional stage, where they begin to co-express IgD and migrate from the BM to the spleen. In the spleen, IgD expression increases further and the cells mature into a second stage of transitional B cells, followed by completion of their maturation status and development into either marginal zone (MZ) or follicular (Fol) cells13,14,15. In adult mice, in a non-diseased setting, the number of mature B cells remains constant despite 10-20 million immature B cells being generated daily in the BM. Of these, only three percent enter the pool of mature B cells. The size of the peripheral B cell compartment is constrained by cell death, due in part to several factors including self-reactivity and incomplete maturation16,17,18. Flow cytometric analysis has been extensively used to characterize and enumerate many immune cell sub-compartments in humans and mice. While there are some similarities between human and murine B cell compartments, this protocol applies only to the analysis of murine B cells. This protocol was developed with the purpose of phenotyping genetically engineered mice, to determine whether genetic manipulation would alter B cell development. Flow cytometry has also been hugely popular in many additional applications, including in measuring cell activation, function, proliferation, cycle analysis, DNA content analysis, apoptosis and cell sorting 19,20.
Flow cytometry is the tool of choice to characterize various lymphocyte compartments in mice and humans, including in complex organs such as the spleen, BM and blood. Due to widely available mouse-specific antibody reagents for flow cytometry, this technique can be used to investigate not only cell surface proteins but also intracellular phosphoproteins and cytokines, as well as functional readouts21. Herein we demonstrate how flow cytometry reagents can be used to identify B cells subsets as they mature and differentiate in secondary lymphoid organs. After optimization of staining conditions, sample handling, correct instrument set up and data acquisition, and finally data analysis, a protocol for comprehensive flow cytometric analysis of the B cell compartment in mice can be utilized. Such comprehensive analysis is based on a decades old nomenclature devised by Hardy and colleagues, where developing BM B-2 cells can be divided into different fractions (Fraction) depending on their expression of B220, CD43, BP-1, CD24, IgM and IgD22. Hardy et al., showed that B220+ CD43 BM B cells can be subdivided into four subsets (Fraction A-C') on the basis of BP-1 and CD24 (30F1) expression, while B220+ CD43-(dim to neg) BM B cells can be resolved into three subsets (Fraction D-F) based on differential expression of IgD and surface IgM23. Fraction A (pre-pro-B cells) are defined as BP-1– CD24 (30F1)–, Fraction B (early pro-B cells) are defined as BP-1– CD24 (30F1)+, Fraction C (late pro-B cells) are defined as BP-1+ CD24 (30F1)+, and Fraction C' (early pre-B cells) are defined as BP-1+ and CD24high. Furthermore, Fraction D (pre-B cells) are defined as B220+ CD43– IgM– B cells, and Fraction E (newly generated B cells, combination of immature and transitional) are defined as B220+ CD43– IgM+ B cells and Fraction F (mature, recirculting B cells) are defined as B220high CD43– IgM+ B cells. In contrast, the majority of naïve B cells found in the spleen can be divided into mature (B220+ CD93–) B cells and transitional (T1, T2, T3) cells depending on expression of CD93, CD23 and IgM. Mature B cells can be resolved into marginal zone and follicular subsets based on expression of IgM and CD21/CD35, and follicular subsets can be further divided into mature follicular type I and follicular type II B cell subsets depending on the level of their IgM and IgD surface expression24. These splenic B cell populations express predominantly Igκ light chain. Finally, B-1 B cell populations, which originate in the fetal liver and are mainly found in the peritoneal and pleural cavities of adult mice, have been described in the literature. These peritoneal B cells can be distinguished from the previously described B-2 B cells by their lack of CD23 expression. They are then further subdivided into B-1a or B-1b populations, with the former defined by the presence of CD5 and the latter by its absence25. B-1 cell progenitors are abundant in the fetal liver, but are not found in adult BM. While B-1a and B-1b cells originate from different progenitors, they both seed the peritoneal and pleural cavities24. In contrast to B-2 cells, B-1 cells are uniquely capable of self-renewal and are responsible for production of natural IgM antibodies.
Defects in B cell development can arise in many instances, including deficiencies in the components of the BCR26,27, perturbations of signaling molecules that impact BCR signaling strength14,28,29, or disruption of cytokines that modulate B cell survival30,31. Flow cytometry analysis of the lymphoid compartments has contributed to the characterization of the B cell development blocks in these mice and many others. One advantage of flow cytometric analysis of lymphoid compartments is that it offers the ability to make measurements on individual cells obtained from live dissociated tissue. The availability of reagents in an ever-expanding range of fluorophores allows for the simultaneous analysis of multiple parameters and enables the assessment of B cell heterogeneity. Furthermore, enumeration of B cells by flow cytometric analysis complements other immunological assays such as immunohistochemistry methods that visualize cell localization within lymphoid organs, detection of circulating antibody levels as a measure of humoral immunity, as well as two photon microscopy to measure B cell responses in real space and time32.
All mouse studies were overseen and approved by Regeneron's Institutional Animal Care and Use Committee (IACUC). The experiment was conducted on tissues from three C57BL/6J female mice (17 weeks of age) from Jackson Laboratories. Titrate all antibodies prior to starting the experiment to determine ideal concentration. When using compensation beads for single-color compensation, ensure they stain as bright or brighter than your samples. Keep all buffers, antibodies, and cells on ice or at 4 °C. After the addition of viability dye, perform all steps and incubations at 4°C in either low light or in the dark.
1. Peritoneal cell harvest and single cell isolation
2. Spleen harvest and single cell isolation
3. BM harvest and single cell isolation
4. Stain cells and prepare compensation
5. Flow cytometric data acquisition
6. Analyze data
Here we present the gating strategy for characterizing B cell development in mouse peritoneum, BM and spleen. The basis of the analysis is formed around the concept of staining with viability dye, then gating out doublets based on the Forward-Scatter-Area (FSC-A) and Forward-Scatter-Height (FSC-H), and finally gating out debris by selecting cells according to their FSC-A and Side-Scatter-Area (SSC-A) characteristics, referred to here as the size gate, which are reflective of relative cell size and cell granularity, before gating on population of interest.
Flow cytometric analysis of peritoneal B cells shows the frequencies of viable peritoneal cells, total B cells, B-1 and B-2 subsets, as well as B-1a and B-1b cells in C57BL/6J mice (Figure 1), using a staining panel outlined in Table 1. Average absolute cell number of these frequencies are shown in Table 5. Perturbations in B-1 cells could be delineated by distribution of cell subsets, either by cell frequency or absolute cells number per mouse.
Flow cytometric analysis of BM B cells shows the frequencies of viable BM cells, total B cells, Fraction A (pre-pro-B cells and contaminating lymphocytes), pre-pro-B cells, Fraction B, Fraction C, Fraction C', Fraction D, immature (subset in Fraction E), transitional (subset in Fraction E), and Fraction F B cells in C57BL/6J mice (Figure 2), using a staining panel outlined in Table 2. Average absolute cell number of these frequencies are shown in Table 6. Perturbations in BM B cells could be delineated by distribution of cell subsets, either by cell frequency or absolute cells number per leg(s).
Flow cytometric analysis of splenic B cells shows the frequencies of viable spleen cells, total B cells, transitional B cells, T1, T2, T3 cells, mature B cells, follicular I cells (Fol I), follicular II (Fol II) cells, marginal zone (MZ) precursor cells, mature MZ cells, and B-1 cells in C57BL/6J mice (Figure 3), using a staining panel outlined in Table 3. Average absolute cell number of these frequencies are shown in Table 7. Perturbations in splenic B cells could be delineated by distribution of cell subsets, either by cell frequency or absolute cells number per spleen.
Similarly, flow cytometric analysis of the spleen shows the frequencies of Igκ+ and Igλ+ B cells in C57BL/6J mice (Figure 4), using a staining panel outlined in Table 4. Average absolute cell number of these frequencies are shown in Table 8. Perturbations in Igκ+ and Igλ+ Bcells could be delineated by distribution of cell subsets, either by cell frequency or absolute cells number per spleen.
Antibody | Fluorophore | clone |
CD19 | APC-H7 | 1D3 |
B220 | APC | RA3-6B2 |
IgM | PeCy7 | II/41 |
IgD | PerCpCy5.5 | 11-26c.2a |
CD43 | FITC | S7 |
CD23 | BUV395 | B3B4 |
CD11b | BV711 | M1/70 |
CD5 | BV605 | 53-7.3 |
Table 1: Peritoneal B Cell Panel
Antibody | Fluorophore | clone |
CD19 | APC-H7 | 1D3 |
B220 | APC | RA3-6B2 |
IgM | PeCy7 | II/41 |
IgD | PerCpCy5.5 | 11-26c.2a |
CD43 | FITC | 1B11 |
CD24 (HSA) | PE | 30-F1 |
C-Kit | BUV395 | 2B8 |
BP-1 | BV786 | BP-1 |
CD93 | BV711 | AA4.1 |
dump channel | ||
CD3 | AF700 | 17-A2 |
CD11b | AF700 | M1/70 |
GR1 (Ly6C/6G) | AF700 | RB6-8C5 |
Ter119 | AF700 | TER-119 |
Table 2: Bone Marrow Maturation Panel
Antibody | Fluorophore | clone |
CD19 | APC-H7 | 1D3 |
B220 | APC | RA3-6B2 |
IgM | PeCy7 | II/41 |
IgD | PerCpCy5.5 | 11-26c.2a |
CD43 | FITC | S7 |
CD23 | BUV395 | B3B4 |
CD21/35 | BV421 | 7G6 |
CD11b | AF700 | M1/70 |
CD5 | BV605 | 53-7.3 |
CD93 | PE | AA4.1 |
Table 3: Spleen Maturation Panel
Antibody | Fluorophore | clone |
CD19 | APC-H7 | 1D3 |
B220 | APC | RA3-6B2 |
IgM | PeCy7 | II/41 |
IgD | PerCpCy5.5 | 11-26c.2a |
CD3 | PB | 17-A2 |
Kappa | FITC | 187.1 |
Lambda | PE | RML-42 |
Table 4: Spleen Igκ and Igλ Panel
Figure 1: Characterization of B cell populations in the peritoneum. Viable, single cell, size gated peritoneal B cells are first separated from contaminating cells by gating on IgM+ cells. B-1 and B-2 cells are then distinguished from each other by absence (B-1) or presence of CD23 (B-2). Next CD5 expression is used to delineated B-1a cells (CD5+) from B-1b cells (CD5–). FMOs were used to empirically determine where to draw gates. Numbers are percentages of each population within the same density plot. Please click here to view a larger version of this figure.
Figure 2: Characterization of B cell subsets in the BM. Viable, single cell, size gated BM B cells are separated from non-B cells by gating on B220+ dump– (where dump refers to CD3/GR-1/CD11b/TER119) cells. CD43 and B220 expression further defines Hardy Fraction A-C' (CD43+ B220+) and Hardy Fraction D-F (CD43low/neg B220+/++). Fraction A-C' is further separated by expression of BP-1 and CD24. Fraction A (BP-1- CD24–) corresponds to pre-pro-B cells along with contaminating cells. To separate pre-pro-B cells from contaminating cells in Fraction A, the expression of CD93 and the absence of CD19 are utilized. Fraction B (BP-1– CD24int) and Fraction C (BP-1+ CD24int) correspond to early and late pro-B cells, respectively, and Fraction C' (BP-1+/- CD24+) corresponds to early pre-B cells. To separate Fraction D-F, expression of IgM and IgD are utilized. Fraction D corresponds to late pre-B cells (IgM-/low IgD–); Fraction E (blue gate, IgMint/high IgD–) to both immature (Imm, IgMint IgD–) and transitional (Tran, IgMhigh IgD–) B cells; and Fraction F (IgMint/high IgD+) to recirculating mature B cells. FMOs were used to empirically determine where to draw gates. Numbers are percentages of each population within the same density plot. Please click here to view a larger version of this figure.
Figure 3: Characterization of splenic B cell maturation. Viable, single cell, size gated splenic B cells are separated from non-B cells by gating on B220+ cells. In order to identify the B-1 subset, CD23– CD19+ cells are identified and defined by expression of CD43. To classify B-2 populations, CD19+ cells are separated into transitional (CD93+ B220+) and mature (CD93– B220+) B cells. Transitional (CD93+ B220+) cells are further divided into T1 (IgM+ CD23–), T2 (IgM+ CD23+), and T3 (IgMint CD23+) populations. Mature (CD93– B220+) cells are separated into marginal zone (CD21/35+ IgM+) and follicular (CD21/35int IgMint/+) B cells. The expression of CD23 is further used to separate MZ precursor (CD23+ B220+) cells from more mature MZ (CD23– B220+) cells. Follicular populations are then delineated into Fol I (IgD+ IgMint) and Fol II (IgD+ IgM+) cells. FMOs were used to empirically determine where to draw gates. Numbers are percentages of each population within the same density plot Please click here to view a larger version of this figure.
Figure 4: Igκ and Igλ expression of splenic B cells. Viable, single cell, size gated splenic B-cells are separated from non-B-cells by gating on B220+ CD3– cells. B cells are then distinguished by the expression of Igλ and Igκ. Numbers are percentages of each population within the same density plot. Please click here to view a larger version of this figure.
Absolute Cell Number | |||||
Animal Number | Viable peritoneal cells | B cells | B-1a cells | B-1b cells | B-2 cells |
1 | 1.02E+07 | 4.67E+06 | 1.28E+06 | 8.95E+05 | 2.35E+06 |
2 | 9.92E+06 | 4.52E+06 | 1.49E+06 | 9.60E+05 | 1.91E+06 |
3 | 1.15E+07 | 4.56E+06 | 1.71E+06 | 9.19E+05 | 1.78E+06 |
Average | 1.05E+07 | 4.58E+06 | 1.49E+06 | 9.25E+05 | 2.01E+06 |
Table 5: Absolute Cell Numbers of Peritoneal B Cell Subsets
Absolute Cell Number | |||||||||||
Animal Number | Viable bone marrow cells | B cells | Fraction A | Pre-pro | Fraction B | Fraction C | Fraction C' | Fraction D | Immature | Transitional | Fraction F |
1 | 5.05E+07 | 9.70E+06 | 1.13E+06 | 1.95E+05 | 2.22E+05 | 9.14E+04 | 6.31E+05 | 1.59E+06 | 4.56E+05 | 7.81E+05 | 4.03E+06 |
2 | 5.39E+07 | 1.03E+07 | 1.14E+06 | 2.29E+05 | 2.89E+05 | 1.22E+05 | 8.40E+05 | 2.11E+06 | 5.39E+05 | 8.07E+05 | 3.67E+06 |
3 | 5.93E+07 | 1.01E+07 | 1.10E+06 | 2.12E+05 | 2.84E+05 | 1.05E+05 | 9.02E+05 | 2.72E+06 | 5.94E+05 | 7.62E+05 | 2.59E+06 |
Average | 5.46E+07 | 1.00E+07 | 1.12E+06 | 2.12E+05 | 2.65E+05 | 1.06E+05 | 7.91E+05 | 2.14E+06 | 5.29E+05 | 7.83E+05 | 3.43E+06 |
Table 6: Absolute Cell Numbers of Bone Marrow B Cell Subsets
Absolute Cell Number | ||||||||||||
Animal Number | Viable Spleen Cells | B cells | Transitional B cells | T1 cells | T2 cells | T3 cells | Mature B cells | Follicular I cells | Follicular II cells | Precursor marginal zone cells | Mature marginal zone cells | B-1 cells |
1 | 9.16E+07 | 4.61E+07 | 3.66E+06 | 1.55E+06 | 1.10E+06 | 7.16E+05 | 4.06E+07 | 2.39E+07 | 5.27E+06 | 2.17E+06 | 3.98E+06 | 8.83E+05 |
2 | 9.97E+07 | 5.18E+07 | 4.88E+06 | 1.97E+06 | 1.57E+06 | 1.00E+06 | 4.49E+07 | 2.68E+07 | 7.33E+06 | 3.42E+06 | 3.84E+06 | 8.15E+05 |
3 | 1.02E+08 | 5.34E+07 | 4.64E+06 | 1.98E+06 | 1.41E+06 | 8.54E+05 | 4.62E+07 | 2.81E+07 | 5.84E+06 | 3.58E+06 | 4.02E+06 | 1.01E+06 |
Average | 9.77E+07 | 5.04E+07 | 4.39E+06 | 1.83E+06 | 1.36E+06 | 8.58E+05 | 4.39E+07 | 2.63E+07 | 6.15E+06 | 3.06E+06 | 3.94E+06 | 9.02E+05 |
Table 7: Absolute Cell Numbers of Splenic B Cell Subsets
Absolute Cell Number | ||||
Animal Number | Viable spleen cells | B cells | Igκ+ B cells | Igλ+ B cells |
1 | 9.16E+07 | 4.97E+07 | 4.51E+07 | 2.46E+06 |
2 | 9.97E+07 | 5.63E+07 | 5.08E+07 | 3.16E+06 |
3 | 1.02E+08 | 5.91E+07 | 5.33E+07 | 3.24E+06 |
Average | 9.77E+07 | 5.50E+07 | 4.97E+07 | 2.95E+06 |
Table 8: Absolute Cell Numbers of Igκ and Igλ B Cell Subsets
Flow cytometric analysis of lymphoid and non-lymphoid tissues has enabled simultaneous identification and enumeration of B cell sub-populations in mice and humans since the 1980's. It has been used as a measure of humoral immunity and can be applied further to evaluate B cell functionality. This method takes advantage of reagent availability to assess different stages of B cell maturation in mice and humans, by way of simultaneous analysis of multiple parameters enabling the assessment of B cell heterogeneity, even in rare populations. If used to measure complex heterogenous samples, it can detect sub-populations within minutes, on individual cells33. Sequential gating analysis strategy, most often applied to flow cytometric analysis, can be simple and intuitive when a specific population has to be identified34. Finally, another advantage of flow cytometry is that it is easily adaptable in most academic labs, while under guidance of experienced users. Our protocol successfully describes assessment of B cell populations in the peritoneum, BM, and spleens of mice, by describing and enumerating B-1 populations and delving into the development of B-2 pro-B cells, pre-B cells, immature, transitional, and mature B cells, as well as their surface expression of Igκ or Igλ light chains. Flow cytometry is the most widely used, and easiest method to apply, when investigating B cell development in mice.
While flow cytometry generates invaluable data, there are some limits to this technology when used to investigate the heterogeneity of the immune B cell compartment. Huge data sets can be overwhelming because 10 color staining allows the recognition of more than 1,024 different cell populations34. One must take into consideration that some commonly used lymphoid cell markers have proven to be less specific than originally thought. This can be resolved by employing a multitude of cell surface markers to ascertain gating on desired populations. While flow cytometric analysis can be simple and intuitive, another constraint to flow cytometric analysis is that it typically allows the visualization of only two parameters at a time, though data visualization tools such as t-SNE can be used to cluster cell populations more efficiently when using high parameter flow cytometry. Another important limitation is that the gates used during both the acquisition and analysis are sometimes dependent on the subjectivity of the operator.
For successful adaptation or replication of this protocol, there are several critical parameters that have to be taken into consideration35. Careful consideration must be taken into panel design and fluorochrome selection. It is imperative to pair dim or important antigens with bright fluorochromes. Antibody titration must be carried out to avoid excess antibody binding to cells non-specifically, potentially increasing background staining and decreasing resolution. Antibody titration is carried out by staining a known number of cells with decreasing concentrations of antibodies, to determine the best separation index36. This should be repeated for every lot of antibody. During sample preparation and staining, it is important to assure a single cell suspension by avoiding Ca++ and Mg++. Additionally, addition of EDTA can help prevent cell aggregation and enzymatic activity which can lead to antibody-mediated stimilulation and internalization of labeled markers. Prior to data acquisition, samples must be properly suspended, filtered and free of aggregates. Spillover of signal from one parameter to another is resolved by using compensation controls, in the form of single stained cells or commercially available compensation beads35. Another important consideration is to have proper controls in each experiment. Unstained cells establish the baseline of autofluorescence. Isotype controls are no longer considered appropriate controls for gating due to non-specific binding. The most important step in helping to make accurate gates is the use of FMO controls. In an FMO control, all conjugated antibodies are present in the stain except the one which is being controlled for. FMO controls enable the measurement of the spread of all the fluorophores into the missing channel and hence allow for setting up gates accordingly. It is critical that enough cells are acquired for added accuracy. As a rule of thumb, at least 2,000 events of the population of interest should be collected. Lastly, compensation controls, whether beads or cells, should be exactly matched to the fluorochromes being utilized and controls must be at least as bright as the experimental samples37.
Overall, low cytometric analysis of B cell compartments is widely used in the immunology field. This technique can be used to investigate perturbations in humoral immunity in both wild type and genetically modified mice, under non-disease states and upon immunological challenge.
The authors have nothing to disclose.
We thank Matthew Sleeman for critical reading of the manuscript. We also thank the Vivarium Operations and Flow Cytometry Core departments at Regeneron for supporting this research.
0.5 mL safe-lock Eppendorf tubes | Eppendorf | 22363611 | 0.5 mL microcentrifuge tube |
1.5mL Eppendorf tubes | Eppendorf | 22364111 | 1.5 mL microcentrifuge tube |
15 mL Falcon tubes | Corning | 352097 | 15 mL conical tube |
18 gauge needle | BD | 305196 | |
25 gauge needle | BD | 305124 | |
3 mL syringe | BD | 309657 | |
70 mM MACS SmartStrainer | Miltenyi Biotec | 130-110-916 | 70 mM cell strainer |
96 well U bottom plate | VWR | 10861-564 | |
ACK lysis buffer | GIBCO | A1049201 | red blood cell lysis buffer |
Acroprep Advance 96 Well Filter Plate | Pall Corporation | 8027 | filter plate |
B220 | eBiosciences | 17-0452-82 | |
BD CompBead Anti-Mouse Ig/κ | BD | 552843 | compensation beads |
BD CompBead Anti-Rat Ig/κ | BD | 552844 | compensation beads |
Bovine Serum Albumin | Sigma-Aldrich | A8577 | BSA |
BP-1 | BD | 740882 | |
Brilliant Stain Buffer | BD | 566349 | brilliant stain buffer |
C-Kit | BD | 564011 | |
CD11b | BD | 563168 | |
CD11b | BioLegend | 101222 | |
CD19 | BD | 560143 | |
CD21/35 | BD | 562756 | |
CD23 | BD | 740216 | |
CD24 (HSA) | BioLegend | 138504 | |
CD3 | BD | 561388 | |
CD3 | BioLegend | 100214 | |
CD43 | BD | 553270 | |
CD43 | BioLegend | 121206 | |
CD5 | BD | 563194 | |
CD93 | BD | 740750 | |
CD93 | BioLegend | 136504 | |
DPBS (1x) | ThermoFisher | 14190-144 | DPBS |
eBioscience Fixable Viability Dye eFluor 506 | ThermoFisher | 65-0866-14 | viability dye |
Extended Fine Tip Transfer Pipette | Samco | 233 | disposable transfer pipette |
FACSymphony A3 flow cytometer | BD | custom order | flow cytometer |
Fc Block, CD16/CD32 (2.4G2) | BD | 553142 | Fc block |
FlowJo | Flowjo | flow cytometer analysis software | |
gentleMACS C Tubes | Miltenyi Biotec | 130-096-334 | automated dissociation tube |
gentleMACS Octo Dissociator with Heaters | Miltenyi Biotec | 130-095-937 | tissue dissociator instrument |
GR1 (Ly6C/6G) | BioLegend | 108422 | |
IgD | BioLegend | 405710 | |
IgM | eBiosciences | 25-5790-82 | |
Kappa | BD | 550003 | |
Lambda | BioLegend | 407308 | |
paraformaldehyde, 32% Solution | Electron Microscopy Sciences | 15714 | |
Ter119 | BioLegend | 116220 | |
True-Stain Monocyte Blocker | BioLegend | 426103 | monocyte blocker |
UltraPure EDTA, pH 8.0 | ThermoFisher | 15575038 | EDTA |
Vi-CELL XR | Beckman Coulter | 731050 | cell counter instrument |