Brain myeloid cells characterization following stroke can be performed by stereology using the optical fractionator method, or by a flow cytometric analysis of brain leukocytes suspensions. Both are useful techniques to perform an accurate phenotypical distinction of the main myeloid cell subsets found in the ischemic brain.
Microglia activation, as well as extravasation of haematogenous macrophages and neutrophils, is believed to play a pivotal role in brain injury after stroke. These myeloid cell subpopulations can display different phenotypes and functions and need to be distinguished and characterized to study their regulation and contribution to tissue damage. This protocol provides two different methodologies for brain immune cell characterization: a precise stereological approach and a flow cytometric analysis. The stereological approach is based on the optical fractionator method, which calculates the total number of cells in an area of interest (infarcted brain) estimated by a systematic random sampling. The second characterization approach provides a simple way to isolate brain leukocyte suspensions and to characterize them by flow cytometry, allowing for the characterization of microglia, infiltrated monocytes and neutrophils of the ischemic tissue. In addition, it also details a cerebral ischemia model in mice that exclusively affects brain cortex, generating highly reproducible infarcts with a low rate of mortality, and the procedure for histological brain processing to characterize infarct volume by the Cavalieri method.
Morphological, phenotypic and gene expression alterations of microglia, as well as extravasation and activation of haematogenous macrophages and neutrophils are believed to play a pivotal role in the pathophysiological cascade following brain injury1-4. This protocol provides two approaches to estimate the number of different myeloid cell subsets of the ischemic brain and to perform their phenotypical characterization. In addition, it also provides a description of an experimental model of cerebral ischemia in mice, which consists of the transient or permanent ligation of both distal Middle Cerebral Artery (MCA) and the common carotid artery (CCA), including how to evaluate the infarct by the accurate Cavalieri method using a stereological software.
The first approach to characterize myeloid cell subsets of the ischemic brain is a stereological method based on the optical fractionator approach5. This is the most commonly used stereological probe in life sciences and provides a high degree of precision with low coefficients of error5-7. This is the best choice for cell quantification when the tissue is cut into sections, as it avoids the bias on cell estimation because of the fragmentation of the tissue into sections. This method is a very powerful way to characterize numbers, dynamics and phenotypic changes of infiltrated neutrophil subpopulations of the ischemic tissue8.
The second characterization approach is based on a modified protocol from Campanella and collaborators9 that provides a simple way to isolate brain leukocyte suspensions and to characterize them by flow cytometry. In contrast to conventional immunohistochemical techniques, flow cytometry characterization allows differentiating between microglia (CD45loCD11b+) and infiltrated myeloid cells (CD45hiCD11b+) based on their different expression levels of CD45 9-13. In addition, pro-inflammatory monocytes (CD45hiCD11b+Ly-6G–Ly-6Chi), neutrophils (CD45hiCD11b+Ly-6G+) and other leukocytes subsets of the ischemic tissue can be distinguished. This approach provides a reliable and rapid assay to assess neuroinflammation in experimental models of brain ischemia. However, tissue processing can influence the activation state and numbers of the different cell populations found in the ischemic tissue providing a semi-quantitative characterization.
NOTE: All experimental protocols adhered to the guidelines of the Animal Welfare Committee of the Universidad Complutense (following EU directives 86/609/CEE and 2003/65/CE).
1. Cerebral Ischemia Model
NOTE: The cerebral ischemia model in this paper involves permanent or transient occlusion of both CCA (common carotid artery) and MCA (middle cerebral artery) by ligation with a nylon suture.
2. Perfusion and Sectioning of Brain Tissue
3. Nissl Staining and Infarct Volume Estimation
InfVol (Infarcted Tissue Volume) = ΣInfAreai,
ContrVol (Contralesional Hemisphere Volume) = ΣContrAreai
4. Stereological Quantification of Infiltrated Neutrophils After Cerebral Ischemia by the Optical Fractionator
5. Brain Dissociation and Flow Cytometry Analysis
NOTE: Myeloid subpopulation characterization by flow cytometry on fresh brain tissue can be used as an alternative to the previous neutrophil characterization performed on fixed and immunostained brain sections.
The cerebral ischemia model shown here generates infarcts seen exclusively in the cortex without affecting the striatal tissue since the lenticulostriatal branches of the MCA that irrigate the striatum are not occluded (Figure 1). By Nissl staining, the damaged area can be identified as a hypochromic cortical area (Figure 2). This model is characterized by highly reproducible infarct volumes at 24 hr after MCAO (%IH 15.89 ± 0.28) estimated by Cavalieri method in Nissl-stained sections (Figure 2). Estimation of the infarcted volume by the Cavalieri method is an accurate approach with a low error that is reflected in the coefficient of error (CE) of Gundersen in the contralesional and ipsilesional hemispheres as well as in the infarcted area (Table 2). Damaged tissue volume can be expressed in mm3 but also as % IH using the formula in the section 3.2.13. In addition, the estimation of the total volume of the ipsilesional and contralesional regions allows for the calculation of edema index to correct the infarcted volume and to avoid an overestimation of the damaged tissue (Table 2).
Given the serial sectioning processing of the brain tissue, this can be taken advantage of to perform an accurate estimation of the total number of cell subpopulations, like infiltrated neutrophils, in the ischemic area, using the Optical Fractionator approach (Figure 3 and Table 4) with parameters shown in Table 3. This protocol estimates a total number of neutrophils (Ly6G-positive cells) in the infarcted area of 23,328 ± 3,623 at 24 hr and 82,856 ± 8,143 at 48 hr in mice after pMCAO (Figure 3D). In agreement with previous studies, neutrophil infiltration is directly correlated with the infarct size (Figure 3E). Estimation of the number of neutrophils by the Optical Fractionator method is an accurate approach with a low error that is reflected by the CE of Gundersen (Table 4).
The leukocyte isolation and flow cytometry characterization protocol allows the isolation of 47,922 ± 23,174 myeloid cells from the cortex of the ipsilesional hemisphere of ischemic mice. This comprises 10-30% of the total events found in the cell suspension. The vast majority of captured events using this protocol present a low FSC parameter, associated to cellular debris (Figure 4). CD11b staining shows that CD11b+ cells have a higher FSC value (Figure 4), suggesting that cell debris is not labeled with this marker and, as previously indicated, that it can be excluded from further analysis by setting the FSC threshold at 2009. The variable amount of cell debris obtained with this method suggests that differences on sample processing (timing, tissue conservation, sample temperature, efficient myelin removal, etc.) can account for it. In addition, the use of cell strainers is also needed to avoid the presence of cellular clamps in the samples; this step needs to be done prior to cell staining. Using the gating strategy shown in the Figure 5 which is based on CD11b and CD45 expression, we can discriminate between resident and infiltrated myeloid cells in the ischemic tissue. This CD11b+ population increases in the ischemic hemisphere when compared with the naive and with the sham group, in which these cells are mostly associated to a low expression of CD45 indicating that microglia is proliferating after ischemia (Figure 4, Figure 5 and Table 5). This difference is likely due to cell infiltration from the periphery, as evidenced by the appearance of a CD11b+CD45hi cell subpopulation in the ischemic brain (Figure 4, Figure 5 and Table 5) which is low number in naïve and in sham brains. The contribution of infiltrates to the CD11b+ cell population in brain ischemia is a very dynamic process4. In the MCAO model by ligature, it can vary from 30% to 60% of the total CD11b+ cells depending on the size of the lesion and of the time when the characterization has been done. Neutrophils, characterized as Ly-6G+ cells, are the most numerous infiltrated cell population found at 24 hr after MCAO in the ischemic mouse brain using this model of cerebral ischemia, as they comprise the 70-80% of the CD11b+CD45hi. The rest of the cells are mostly a subpopulation of CD11b+CD45hiLy-6G–Ly-6Chi pro-inflammatory monocytes. In this model, this population will increase in number in the ischemic brain areas from 24 to 48 hr after MCAO.
Figure 1: Surgical procedure for the MCA ligation. (A) After retraction of the temporal muscle, a small craniotomy is performed in the mouse skull. MCA is ligated by a knot or a slipknot using a 9/0 suture. (B) Representative images of the cortical lesion generated by the MCAO model. Please click here to view a larger version of this figure.
Figure 2: Quantification of infarct volume by Cavalieri. (A) Representative images of Nissl-stained brain sections 24 hr after permanent MCA ligation. The high magnification shows the hipocromatic area after Nissl staining which identifies the damaged area (core) after MCAO. The Peri-Infarct (P.I) region is also shown. (B) Quantification of the infarct volume represented as % Infarcted Hemisphere (%IH) by using the Cavalieri method in serial Nissl-stained sections, 24 hr after MCAO (n = 50 mice).
Figure 3: Stereological quantification of neutrophils in the infarcted area 24 and 48 hr after ligation, using the Optical Fractionator method. (A) Representative image of infiltrated neutrophils (Ly6G-positive cells) in the ischemic area at 24 hr after MCAO. Delimitation shows the infarcted area. (B, C) Examples of an optical dissector for neutrophil quantification by the optical fractionator. (D) Quantification of total neutrophils in the infarcted region at 24 and 48 hr (n = 4 mice). (E) Correlation of the number of neutrophils with the infarct size at 24 and 48 hr after MCA ligation. Please click here to view a larger version of this figure.
Figure 4: Representative dot-plot scatter analysis of brain leukocytes obtained from naïve, sham and ischemic (24 hr after MCAO) hemispheres on the basis of physical parameters (SSC and FSC). A population of events that express CD11b (red) was identified in all groups. This population was gated and characterized according to the expression of CD45. Cells expressing low levels of CD45 (green) were present in the ischemic and non-ischemic brain cortex and corresponded to microglial cells. In contrast, cells expressing high levels of CD45 (yellow) were only found in the ischemic hemisphere and in lesser extent in sham group. Further analysis of the CD11b+CD45hi population indicates that neutrophils (Ly-6G+ cells, blue) and pro-inflammatory monocytes (Ly-6Chi cells, orange) are the main cell subpopulations found in brain infiltrates 24 hr after stroke.Please click here to view a larger version of this figure.
Figure 5: Gating strategies to differentiate resident from infiltrated myeloid cells in the ischemic tissue. CD11b+ cell were first gated according to isotype fluorescence intensity (A). A representative dot plot of cell suspensions of the ischemic brain is shown in the up-right corner of the panel. In addition, typical values for the total number of events and for the number of CD11b+ events acquired using this technique is shown (no. of cells/ ischemic brain hemisphere; (A) CD45 Fluorescence intensity analysis of the CD11b+ cells is shown in panel B. A representative dot plot analysis of CD45 and CD11b expression of the gated CD11b+ subpopulation is shown in the up-right corner of the panel. In addition, the typical number of CD45lo CD45hi cells acquired per ischemic brain hemisphere using this technique is shown (B).
Parameters used for Cavalieri method | |
Section Thickness (t) | 30 µm |
Objective | 10X |
Slice sampling fraction (ssf) | 1/20 |
Distance between sections | 600 µm |
Grid Spacing | 100 µm |
Table 1: Parameters used for the stereological quantification of the infarcted tissue.
Risultati | Contralesional | Ipsilesional | Infarct |
Area (µm²) | 151,460,000 | 155,060,000 | 22,600,000 |
Volume (µm³) | 90,876,000,000 | 93,036,000,000 | 13,560,000,000 |
Volume Corrected for Over Projection (µm³) |
89,957,100,000 | 92,046,300,000 | 13,416,600,000 |
Coefficient of Error (Gundersen), m=0 |
0.068 | 0.077 | 0.067 |
Coefficient of Error (Gundersen), m=1 |
0.015 | 0.017 | 0.015 |
Coefficient of Error (Gundersen), alpha(q) |
0.068 | 0.077 | 0.067 |
% Infarcted Hemisphere | 14.90 | ||
Brain Oedema (Ips Vol/Cont Vol) | 1.02 |
Table 2: Representative examples of contralesional, ipsilesional and infarct volumes by the Cavalieri method using the Stereo Investigator Software.
Parameters used for The Optical fractionator | |
Section Thickness (tsf) | 30 µm |
Objective | 100X |
Slice sampling fraction (ssf) | 1/10 |
Counting Frame Height | 40 µm |
Counting Frame Width | 40 µm |
X grid size | 230 µm |
X grid size | 230 µm |
Safe Guard | 2 µm |
Optical Disector Height | 14 µm |
Table 3: Parameters used for the stereological quantification of infiltrated neutrophils after brain ischemia with the optical fractionator probe by using the Stereo Investigator Software.
Estimation of Neutrophils by the Optical Fractionator | |
Number Of Sampling Sites | 430 |
Shape Factor | 6.24 |
Total markers Counted | 166 |
Estimated Neutrophils by Optical Fractionator | 117,608.03 |
Coefficient of Error (Gundersen), m=0 | 0.22 |
Coefficient of Error (Gundersen), m=1 | 0.09 |
Table 4: Representative example of the estimated infiltrated neutrophils after brain ischemia with the Optical Fractionator probe by using the Stereo Investigator Software.
Cd11b+ | Neutrophils | Monocytes | Microglia | |
Naive | 25,863 ± 4,575.8 | 473 ± 75.8 | 525 ± 191.4 | 19,012 ± 1,523 |
Sham 24 hr | 24,563 ± 5,263 | 873 ± 192.5 | 1,124 ± 391.5 | 23,734 ± 2,910 |
pMCAO 24 hr | 47,922 ± 23,174 | 4,874 ± 748.7 | 4,826 ± 1,345 | 35,395 ± 10,833 |
Table 5: Representative results of the estimated myeloid cells after brain ischemia with the Flow cytometry approach.
The cerebral ischemia model introduced here gives highly reproducible infarct volumes determined 24-48 hr and 7 days after MCA ligation by different approaches8,15,17. This MCAO model has a low mortality rate (less than 1%) compared to others, minimizing the number of animals used in studies. A critical step to obtain this low rate of mortality is to maintain proper aseptic conditions to avoid infections which could impair survival after stroke induction. This MCAO model can not only be used as a permanent MCAO model, which is considered a clinical relevant model for translational research18, but also as a transitory model by transient ligation of the CCA and MCA with an slipknot and posterior reperfusion at the desired time19. This method has been successfully used in mice and rats17,20. All this evidence indicates that MCAO by ligation is a high versatile model of cerebral ischemia with multiple applications. A critical step of this technique is that it requires invasive surgery under a stereomicroscope; the craniotomy should be performed very carefully as to not to damage the zygomatic bone as well as the MCA. However, the use of sham animals (which are subjected to the surgical procedure but CCA and MCA ligation is not performed) provides a useful tool to discriminate surgical procedure-dependent effects. The extent of brain injury following this technique can be quantified by several methods. Our protocol of brain sectioning, Nissl staining and subsequent estimation of the volume by Cavalieri allows for an accurate quantification of the damaged region and minimizes the number of mice used in this type of studies since serial brain sections can also be used for different immunohistochemical analysis. For a better performance of this methodology, it is critical to choose the appropriate parameters used in the stereology software (Table 1) which will be necessary for estimating the volume of the different regions by the formula: V = 1/ssf*af*t*ΣPi (Ssf is the slice sampling fraction, t is the mean thickness of the sections, af is the area of the grid spacing and ∑P the number of points hitting the structure).
The distal MCAO by ligation can be useful to characterize the infiltrated leukocyte and immune cell subpopulations8,13 that participate in the inflammatory process following brain injury1-4. Here, we propose two different methodologies for brain immune cell characterization, a precise stereological approach and a flow cytometric analysis for better characterizing multiple leukocytes subpopulations.
Taking advantage of serial brain sectioning, the quantification of the total number of neutrophils can be achieved by the optical fractionator method16, which estimates the total number of cells from the number of cells sampled with a Systematic Randomly Sampled (SRS) set of unbiased virtual counting spaces covering the entire region of interest, in our case the infarct region, with uniform distance between unbiased virtual counting spaces in directions X, Y and Z. This method provides an accurate tool to estimate total neutrophil numbers in the ischemic brain at different times after ligation. Although it has not been shown in this study, this protocol can also be used for estimation of the different neutrophil subpopulations after ischemia21 and for an accurate quantification of any other cell population found in the ischemic brain like other infiltrated leukocytes (monocytes/macrophages) and also for estimating surviving neurons or even for neurogenesis quantification after stroke. The most important step for an accurate estimation in the desired area is the selection of the appropriate parameters, as the ones shown in the Table 3 for neutrophil quantification in the ischemic area. These parameters will be used for the stereology software to calculate the total positive cell number (N) by using the equation N = ΣQ- x 1/ssf x 1/asf x 1/tsf (ΣQ- is the total number of cells counted with the fractionator, ssf is the section sampling fraction, asf is the sampling fraction area, and tsf is the sampling fraction thickness)5. Although this methodology is slower than other quantification techniques (for example, analysis of neutrophil markers by mg of tissue, densitometry of representative images or number of neutrophils per field), it has the advantage to be an unbiased and a solid technique which provides a precise quantification of cell numbers.
The brain leukocyte isolation approach allows for a simultaneous identification and quantification of several immune cell subtypes without the need to bias the system by in vivo staining or genetic manipulations. Subsequent cell sorting from the characterized myeloid populations or their immunomagnetic separation can be used for multiple downstream applications, such as further studies on gene or protein expression. The accurate characterization of neutrophils, monocytes and microglia obtained with this method provides high specificity with respect to existing methods such as the immunohistochemical studies, an advantage that allows allocating specific functions to the different myeloid cells that mediate brain innate immune response. In addition, it can be further extended to characterize other brain populations with the appropriate label, like blood born macrophages (CD11b+CD45hiCD68+), and it can be applied for the study of other CNS pathologies or injuries. Therefore this technique provides an essential tool to explore the heterogeneity of the inflammatory response in the brain. A main limitation of this technique resides on the preparation of the leukocyte suspensions from fresh brain tissue, which can alter the activation state of the cells or their antigen alteration. Although this technique allows a more detailed qualitative characterization compared to immunohistochemical studies, it provides a less accurate quantification based on cell isolation. Despite this, the efficiency of our cell isolation protocol is similar to other published methodologies9 and it can be efficiently used to detect differences in the number of brain immune cells between control and MCAO groups or even between MCAO groups subjected to different treatments8.
Critical steps of this protocol are the tissue dissection, the tissue disruption procedure, and the myelin removal. Regarding the tissue collection, a normalization step can be included (by weighing the tissue collected) to avoid variability due to different dissection performances. In addition, normalization between different MCAO groups can also occur through infarct volume (previously determined by Magnetic Resonance). Another way to solve this problem is to use the whole ipsilateral hemisphere of both ischemic and control groups, or even use the contralateral hemisphere of the ischemic mouse as a control to minimize the number of animals used. While this approach avoids differences between each dissection, it has a main disadvantage; a dilution factor is added by increasing the total number of cells but not the number of myeloid cells which are exclusively located in the core and peri-infarct areas of the ipsilateral cortex. Regarding tissue disruption, this protocol illustrates the steps for the mechanical disruption of brain cells, avoiding enzymatic treatments and preventing surface antigen alteration9,22, an essential issue for further qualitative and quantitative analysis of the inflammatory cell subpopulations. In addition to the preparation of the cell suspension of interest, myelin removal from brain samples is a highly recommended step to avoid interference with downstream applications, such as immunomagnetic cell separation or flow cytometry23,24. This can be accomplished using different methods, such sucrose or Percoll gradients, or anti-myelin beads. Here, and based on previous studies that compare different methods for brain cell suspension isolation, mechanical disruption in combination with Percoll usage to remove myelin is used to improve cell yields and viability25.
The authors have nothing to disclose.
This work was supported by grants from the Spanish Ministry of Economy and Competitiveness CSD2010-00045 (MAM), SAF2012-33216 (MAM), SAF2011-23354 (IL) and RENEVAS RD06/0026/0005 (IL), and from the Local Government of Madrid S2010/BMD-2336 (MAM) and S2010/BMD-2349 (IL). IB and MIC are fellows of the Spanish Ministry of Economy and Competitiveness.
Name of Material/ Equipment | Company | Catalog Number | Comments/Description |
Photonic Led F1 | WPI | 571329-8 | Equipment |
Temp Controller | Panlab | HB 101/2 | Equipment |
Volvere GX | NSK | Ne22L | Equipment |
Microscope | WPI | PZMIII-BS | Equipment |
Stainless Steel Burrs | FST | 19007-14 | Surgical material |
Forceps Dumont #5/45 | FST | 11251-35 | Surgical material |
Forceps Dumont #5SF | FST | 11252-30 | Surgical material |
Suture 6/0 | LorcaMarin | 55108 | Surgical material |
Suture 9/0 | LorcaMarin | 61966 | Surgical material |
Nikon Eclipse | Nikon | TE300 | Equipment |
Isoflurane | Esteve | 571329-8 | Chemical |
Sodium Pentobarbital | Vetoquinol | 570681 | Chemical |
Freezing microtome | Leica Microsystems GmbH | SM2000R | Equipment |
Superfrost slides | Thermo Scientific | 2014-07 | Lab material |
Cresyl violet acetate | Sigma | C5042 | Chemical |
Microscope | Nikon | Nikon Eclipse TE300 | Equipment |
XYZ motorized computer stage and controller | Ludl electronics Products | Equipment | |
Stereo Investigator System | Microbrightfield | Version 7.003 software | Software |
5 ml Tissue Grinder, Potter-Elv with teflon pestle | Thomas Scientific | 0913X70 | Lab Material |
Polypropylene 50mL Oak Ridge Centrifuge Tube | Nalgene | 3119-0050 | Lab material |
Percoll | Sigma | p1644-100 | Chemical |
RPMI 1640 | Lonza | BE12-702F | Chemical |
Beckman Ultracentrifugue | Beckman Coulter | Equipment | |
Beckman Coulter ultracentrifuge rotor 45 Ti | Beckman Coulter | Equipment | |
BD Sterile Cell Strainer, 40 Micron | BD | BD 352340 | Lab Material |
Bovine Serum Albumin | Sigma | A3733-500G | Reagment |
FcR Blocking Reagent, mouse | Miltenyi | 130-092-575 | Antibody |
CD11b-FITC, human and mouse | Miltenyi | 130-098-085 | Antibody |
CD45-PE, mouse | Miltenyi | 130-102-596 | Antibody |
Anti-Ly-6G-APC, mouse | Miltenyi | 130-102-936 | Antibody |
PerCP/Cy5.5 anti-mouse Ly-6C | Biolegend | 128012 | Antibody |
BD FACS Flow | BD | 342003 | Reagment |
BD FACSCalibur; 4-color | BD | 342975 | Equipment |
BD Cell Quest Pro Software | BD | Software | |
FlowJo software | Treestar inc. | Software |