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. 2022 Jan 19;17(1):e0250752. doi: 10.1371/journal.pone.0250752

Isolation of the side population from neurogenic niches enriches for endothelial cells

Alena Kalinina 1, Catherine Gnyra 1, Vera Tang 2, Yingben Xue 1, Diane C Lagace 1,*
Editor: Marietta Zille3
PMCID: PMC8769340  PMID: 35045082

Abstract

In stem cell research, DNA-binding dyes offer the ability to purify live stem cells using flow cytometry as they form a low-fluorescence side population due to the activity of ABC transporters. Adult neural stem cells exist within the lateral ventricle and dentate gyrus of the adult brain yet the ability of DNA-binding dyes to identify these adult stem cells as side populations remains untested. The following experiments utilize the efflux of a DNA-binding dye, Vyrbant DyeCycle Violet (DCV), to isolate bona fide side populations in the mouse dentate gyrus and subventricular zone (SVZ), and test their sensitivity to ABC transporter inhibitors. A distinct side population was found in both the adult lateral ventricle and dentate gyrus using DCV fluorescence and forward scatter instead of the conventional dual fluorescence approach. These side populations responded strongly to inhibition with the ABC transporter antagonists, verapamil and fumitremorgin C. The majority of the cells residing in the side populations of dentate gyrus and SVZ were characterized by their expression of CD31. Additionally, at least 90% of all CD31+ cells found in the dentate gyrus and SVZ were negative for the hematopoietic marker CD45, leading to the hypothesis that the CD31+ cells in the side population were endothelial cells. These findings, therefore, suggest that the side population analysis provides an efficient method to purify CD31-expressing endothelial cells, but not adult neural stem cells.

Introduction

DNA-binding dyes have been perpetually used in flow cytometry and fluorescence-activated cell-sorting (FACS) paradigms to identify cancer stem cells [1, 2]. This has included the use of dyes such as Hoechst 33342 [3, 4] and, more recently, Vybrant DyeCycleViolet (DCV), which is less toxic to stem cells [57]. In these assays, live stem cells are identified as a side population that has low dual fluorescence intensity in both blue- and red-shifted spectra due to the activity of ABC transporters, which can efflux the DNA-binding dyes. In contrast, cells that do not have ABC transporters will accumulate the dye and show higher fluorescence. Since ABC transporters have been identified in stem cells from a large variety of tissues [8], this method has extended to be used routinely to isolate various types of stem cells.

Neural stem cells (NSCs) within the subventricular zone (SVZ) of the lateral ventricle and the subgranular zone of the dentate gyrus can develop into functional mature neurons in the adult brain. There is interest in harvesting cells from these regions in order to understand how NSCs and their progeny contribute to brain function in health and disease and could be harnessed for cell-based brain repair [9, 10]. The isolation of neural stem cells (NSCs) has been a challenge in the field due to many reasons. These include the relatively small numbers of NSCs, the multiple subtypes of NSCs, and lack of a highly specific surface marker for identification and isolation by FACS [9, 11]. Classically, flow cytometry paradigms utilized low expression of PNA (peanut agglutinin) and HAS (heat stable antigen), or high expression of Notch, LewisX (cluster of differentiation-15, CD15) and EGFR (early growth response factor) surface markers to identify neural stem cells [1215]. More recent methods have made additional significant advances in identification and enrichment of subpopulations of NSCs using multi-parameter FACS, inducible transgenic mice models [13], or single-cell transcriptional analyses [1619]. However, these methodologies are time- and cost-intensive, which has led our lab and others to investigate the use of DNA-binding dyes as a simpler and more efficient method for identification and purification of NSCs.

Many have identified an ABC transporter-dependent side population with an NSC identity in cells isolated from neurospheres that were derived from primary embryonic neural or postnatal/adult SVZ tissue [3, 12, 20]. In contrast, NSCs isolated ex vivo in cells freshly harvested from embryonic or early postnatal SVZ (postnatal day 2) brain tissue are not found in the side population [3, 12, 20]. Instead of NSCs, endothelial and microglial cells were comprising the side population identified in ex vivo preparations of developing SVZ [3]. This finding is not surprising as, endothelial and microglial cells along with pericytes and astrocytes, form and maintain the blood brain barrier [2123]. Accordingly, one of the main roles of endothelial cells is in brain homeostasis, which relies on the function of the ABC transporters [23].

This raises the question of whether NSC-containing side populations can be identified from ex vivo primary adult mouse dentate gyrus and SVZ tissue. To answer this question, we optimized the detection and phenotyping of the side population using flow cytometry and the DNA-binding dye, DCV, in live single-cell suspensions from the young adult mouse dentate gyrus and SVZ. The data shows that an ABCG2/B1-dependent side population can be identified in the neurogenic niches that is enriched for CD31-expressing endothelial cells but not NSCs.

Materials and methods

Animals

This study was carried out in strict accordance with the recommendations in the Guidelines of the Canadian Council on Animal Care and all efforts were made to minimize suffering. The animal care protocol was approval by the University of Ottawa Animal Care Committee (Protocol CMM-1150). Fifty-six male and female two to three months old C57bl/6J background mice were used for all experiments. Animals were group housed in standard laboratory cages and kept on a 12-hour night/day cycle with ad libitum access to food and water.

Tissue collection and digestion

Mice were deeply anesthetized with euthanyl (90 mg/kg) and the brains were quickly placed in ice-cold artificial cerebrospinal fluid (aCSF, pH = 7.4) prepared in miliQ water with 124mM NaCl, 5mM KCl, 1.3 mM MgCl2·6H2O, 2mM CaCl2·2H2O, 26mM NaHCO3, and 1X penicillin-streptomycin (10,000 U/mL; ThermoFisher) and sterilized using stericup and steritop filtration set (Millipore). Dentate gyrus and SVZ were microdissected using SteREO Discovery V8 microscope (Zeiss) following previously published protocols [24, 25].

Tissue was digested according to protocols described previously [26, 27]. First, the tissue was gently broken up using small surgical scissors then incubated on shaker (30 minutes, 37°C) in 500uL of digestion media, containing 20 U/mL papain (Worthington Biochemicals), 12 mM EDTA (Invitrogen) in DMEM:F12 (Invitrogen). Following incubation, Resuspension media (0.05 mg/mL DNase1 (Roche) with 10% fetal bovine serum (Wisent Bioproducts) in DMEM:F12) was added to each tube, triturated 10X with a P1000 micropipette, and incubated for five minutes at RT. Suspension was then transferred in Percoll media, consisting of 19.8% Percoll (GE Healthcare Life Sciences), 2.2% 10X PBS (Wisent Bioproducts) in Resuspension media. Cells were then spun down (500 x g, 13 minutes, 4°C), the supernatant was removed. For each experiment, cells from multiple mice were pooled into one dentate gyrus sample and one SVZ sample, and were resuspended in phenol-free DMEM:F12. Live cells were counted on Countess automated cell counter (ThermoFisher Scientific) using 0.4% Trypan blue (Invitrogen) at a concentration of 1:2 and suspended in phenol-free DMEM:F12 medium at a concentration of 106/mL.

Staining and drug treatments

To generate negative, single-stained, and all-stained samples, an average of eight mice was used per experiment. After splitting cells based on staining conditions, Vybrant DyeCycle Violet Ready Flow Reagent (Invitrogen) was added to cells in phenol-free DMEM:F12 medium and incubated at 37°C in a 5% CO2 cell culture chamber (Forma Series II Water Jacket; ThermoFisher Scientific) for 30 minutes. The concentration of DCV was tested at both 1X and 2X, and based on these experiments (S1 Fig), all future experiments used the concentration of 2X, or 160uL in 106 cells/ml.

For experiments involving ABC transporter inhibition, fumitremorgin C (FTC; Sigma) and (±) verapamil hydrochloride (VP; Sigma) were added to unwashed cells at final concentrations of 10uM and 50uM, respectively, after DCV incubation and kept in the same conditions for additional 30 minutes. Cells were then kept on ice in dark until sort, and 7-Amino-Actinomycin D (7AAD, 40 ug/ml, Sigma) was added to cell suspensions 10 minutes before analysis for dead cell discrimination. For experiments determining the identity of the side population, CD31 antibody conjugated to allophycocyanin (APC), BD Biosciences, BioLegend), was added to cells in DMEM:F12 at final concentration of 1:50 [28] and incubated on ice in the dark for 30 minutes before DCV incubation, which followed the same workflow as discussed above. For supplementary experiment, CD45 antibody conjugated to fluorescein isothiocyanate (FITC) was co-incubated together with APC anti-CD31 on ice at a concentration of 1:500 for 30 minutes. Antibodies, dyes, and drugs used for all experiments are listed in Table 1.

Table 1. Reagents used for tissue processing and DCV assay.

Reagents Company Catalogue # Final Concentration
Vybrant DyeCycle Violet Ready Flow Reagent Invitrogen R37172 160 uL/ml
APC anti-mouse CD31 BioLegend 102409 1:50
FITC anti-mouse CD45 BioLegend 147709 1:500
7AAD Sigma A9400-1MG 1 ug/ml
Fumitremorgin C Sigma F9054-250UG 10uM
(+/-) Verapamil Hydrochloride Sigma V4629-1G 50uM
Papain suspension Cedarlane LS003126 20 U/ml
Percoll Sigma 17-0891-02 22% v/v
Trypan Blue Invitrogen T10282 1:1 (0.2%)

Cell lines

Two cancer cell lines, U-2OS (ATCC, osteosarcoma) and A2780 S ([29], ovarian cancer), were generously provided by Dr. Laura Trickle-Mulcahy and Dr. Barbara Vanderhyden, respectively. Cells were grown in DMEM/10%FBS until minimum 75% confluency was reached. Cells were detached from flasks in 5mM EDTA for 20 minutes at 37°C in a cell culture incubator, then triturated and washed several times with 1X PBS before cell count and DCV staining, which followed the same procedure as staining in primary brain cells.

Flow cytometry

All flow cytometry experiments were performed using BD LSRFortessa flow cytometer (BD Biosciences) in the Flow Cytometry and Virometry Core at the University of Ottawa, Faculty of Medicine. Unstained and single-stained controls were used to set up laser parameters and gating for all-stained samples. First, cell debris and doublets were excluded based on FSC and SSC parameters, and then 7AAD+ dead cells were removed from analyses. Following this, all samples were collected under 405nm laser with 450/50 and 660/20 bandpass filters. DCV+ populations could only be resolved with optimal excitation of the samples (S1 Fig). 7AAD signal was collected under the 561nm laser with a 670/30 filter. APC-CD31 fluorescence was collected using the 640nm laser with a 660/20 bandpass filter without compensation. FITC-CD45 signal was collected using the 488 laser with a 530–30 bandpass filter without compensation. Single-stained controls were used to identify and gate CD31+ and CD31- cells. The side population fidelity of DCV+ cells was determined by comparison to FTC- and VP-treated samples. The number of live single cells analyzed in all-stained samples averaged 160±20k live single cells for all experiments, with the full entirety of the samples not run.

Data analysis

FlowJo software (BD Biosciences) and GraphPad Prism 8 (GraphPad Software) were used to analyze and visualize all flow cytometry data. All average values are reported as mean ± standard error. All relevant data are within the manuscript and its Supporting files.

Results

Primary cells isolated from the dentate gyrus and SVZ contain multiple populations with side population properties

We used the Vybrant DyeCycle Violet Ready Flow Reagent (Invitrogen) to test the presence of a side population that was able to efflux the DNA-dye. Primary live cells harvested from the dissected neurogenic regions of the dentate gyrus and SVZ showed heterogeneous populations of DCV-stained cells as demonstrated by variable DNA content (Fig 1A and 1B). In both the dentate gyrus and SVZ populations there was a large population of cells with low DCV fluorescence that appeared in the lower left corner of dual fluorescence DCV-Blue/DCV-Red plots (Fig 1A and 1B). These cells in the lower corner resembled effluxing cells, which were absent in the negative control U2OS cell line (Fig 1C) that has been previously reported to not contain a side population [30, 31].

Fig 1. DCV identifies heterogeneous cell populations in primary neurogenic brain cells.

Fig 1

Cell heterogeneity is illustrated in dual fluorescence DCV-Red vs DCV-Blue plots with adult cells isolated from the dentate gyrus (A), SVZ (B), as well as control cultured U2OS cells (C) that do not have a side population. Forward scatter (size) and DCV-Blue combined plots for dentate gyrus (D) and SVZ (E) show multiple low-fluorescence populations that could be bona fide side populations (labeled as Tentative SP), whereas, U2OS cells (F) show a few scattered cells that are debris and nuclear fragments. Plots A and D are representative plots based on samples pooled from two male and ten female mice. Plots B and E are representative plots based on samples pooled from two male and seven female mice.

In the cell suspensions from the dentate gyrus and SVZ it was difficult to distinguish the side population from the continuous main population using the red and blue dual fluorescence of DCV. Therefore, a forward scatter parameter (cell size) was added for the remainder of our analyses to observe the cell heterogeneity together with DCV fluorescence (Fig 1D–1F). The size/DCV-Blue plots of dentate and SVZ cells reveal multiple low-fluorescence cell populations that appeared to be effluxing DCV, which we labeled as the tentative side population (Fig 1D and 1E). As expected the DCV-stained live U2OS negative control cells showed no low-fluorescence cell populations (Fig 1F).

Side populations in primary dentate gyrus and SVZ are responsive to ABC transporter inhibition

To further identify the side population of the adult neural cells, fumitremorgin C (FTC) and verapamil (VP) were used to inhibit the activity of ABCG2 and ABCB1 transporters, which are known to prevent the efflux of DCV [5, 32]. Primary dentate gyrus cells located in the labeled tentative SP area in the size-DCV-blue plot, showed a population of cells that was reduced from 3.39% to 0.37% after addition of ABC-transporter antagonists (Fig 2A and 2D). Similarly, primary SVZ cells located in the tentative SP area responded to the inhibitor treatment with a reduction of the population from 0.71% to 0.22% after treatment (Fig 2B and 2E). To confirm specificity of ABC transporter inhibitors, the A2780 S cell line was used as a positive control for VP- and FTC-sensitive side population cells [2, 7, 33]. As predicted, A2780 S cells had a very distinct side population in standard dual-fluorescence plots that was reduced from 7.97% to 1.51% after treatment (Fig 2C and 2F).

Fig 2. ABC transporter antagonists (VP and FTC) inhibit the side population phenotype of primary adult dentate gyrus and SVZ cells.

Fig 2

Fluorescence/size plots for dentate gyrus (A) and SVZ (B) show the side population (SP, pink) and percentage of cells in the SP in the absence (A, B) and presence of VP and FTC (D, E) which significantly reduced the side population. A2780 S cell line, a positive control, shows a large side population in dual fluorescence plots (C) and nearly complete removal (F) of the effluxing side population by addition of inhibitors. Plots A and D are representative plots based on samples pooled from five male and three female mice. Plots B and E are representative plots based on samples pooled from six female mice.

Examination of all performed experiments revealed that the size of dentate gyrus and SVZ side populations was reproducible between experimental days. Specifically, the average size of the dentate gyrus side population from 5 experiments was 3.82±0.26% of all live singlets, with 4050±1099 SP cells analyzed per sample. Similarly, the average size of the SVZ side population from 3 experiments was SVZ of 1.48±0.47% of all live singlets and contained 3328±1817 live single cells per sample. Overall, these data suggest that primary dentate gyrus and SVZ cells contain reproducible side populations that efflux DNA-binding dyes via ABC transporters, as visualized through measuring cell size together with the fluorescence of the DNA-binding dye.

The dentate gyrus and SVZ side populations comprise CD31+ endothelial cells

We hypothesized that the side population may have endothelial cell identity, as have been previously identified in ex vivo early postnatal SVZ cells [3]. This hypothesis was tested using the surface marker for endothelial cells, cluster of differentiation 31 (CD31) to identify them among the dentate gyrus cell types. As shown in Fig 3, CD31 expressing (CD31+) endothelial cells represented 5.96% of all cells in the dissected adult dentate gyrus (Fig 3C) and 3.07% of all cells in the dissected adult SVZ (Fig 3F). Analysis of three experiments revealed that CD31+ cells in the dentate gyrus averaged 6.35±0.37% of all live singlets and comprised 13,197±2,141 live single cells per sample. CD31+ cells from the SVZ were on average 3.93± 0.58% of all live singlets, and contained 6,738±974 live single cells per sample. All other cells, including the adult NSCs, were labeled as CD31-negative (CD31-) main population. CD31- cells from the dentate gyrus did not contain the majority of side population, as shown by the size-DCV-Blue plot (Fig 3B). On the contrary, CD31+ cells were heterogeneous in size and DNA content but mostly exhibited a homogenous low DCV fluorescence (Fig 3E). In fact, 75.48% of SP cells in the dentate were CD31+ cells (Fig 3D). Similarly, for the SVZ, CD31- cells from the SVZ did not contain the majority of side population cells (Fig 3C), while CD31+ cells occupied this area (Fig 3F) and represented 52.65% of the side population (Fig 3G).

Fig 3. The side population phenotype of adult primary dentate gyrus and SVZ cells is mainly composed of endothelial cells.

Fig 3

Gating of CD31+ cells (red) apart from the main population (grey) in the dentate gyrus (A) is shown as an example. The CD31-negative cells are a heterogeneous population in the dentate gyrus (B) and SVZ (C) and do not contain the DNA-dye-effluxing side population. Alternatively, CD31-positive cells localize to the side population area make up a large portion of the SP in primary dentate gyrus (D, E) and SVZ cells (F, G). Plots B and E are representative plots based on samples pooled from five male and four female mice. Plots C and F are representative plots based on samples pooled from seven male mice.

Since CD31 is also a marker of hematopoietic cells, we examined whether CD31+ cells co-expressed CD45, a ubiquitous cell antigen expressed on the surface of hematopoietic cells, including monocytes [34, 35], and which has been used in flow cytometry together with CD31 to exclude blood cells [28, 36]. We found that CD45+ cells accounted for 4.80% of all live cells from the dentate gyrus (S2B Fig), and 6.43% in the SVZ (S2E Fig). The distribution of CD45+ cells among the CD31+ cells represented a small fraction of all CD31+ cells. Specifically, 5.54% of CD31+ cells in dentate gyrus were positive for CD45 (S2C Fig), and 9.87% in SVZ (S2F Fig). Thus, the fairly small overlap in CD31 and CD45 markers suggests that the vast majority of the CD31-expressing DCV-effluxing cells in the side populations of the SVZ and DG are endothelial cells rather than blood cells.

Discussion

This series of experiments was used to examine whether a side population can be identified in primary cells of the dentate gyrus and SVZ using DCV, a live-cell-permeable DNA-binding dye, in flow cytometry. We identified a side population that effluxes DCV that was best visualized through measuring cell size together with the fluorescence of the DNA-binding dye. These cells represent the bona fide side population that responds to the inhibition with ABC transporter antagonists, verapamil and fumitremorgin C. In both the dentate gyrus and SVZ cells, the side population of the neurogenic regions is enriched with CD31-expressing endothelial cells.

CD31-expressing endothelial cells are enriched within the side population of ex vivo neurogenic extracts

Our data support that within the young adult dentate gyrus and SVZ, CD31+ cells are the major cell cluster in the side population that responded to ABC transporter inhibition. Approximately 75% of dentate gyrus SP cells and 53% of SVZ SP cells were positive for CD31. More than 90% of all CD31+ cells found in the dentate gyrus and SVZ were negative for the hematopoietic marker CD45, leading us to hypothesize that these CD31+ cells are endothelial cells, and not CD31+ hematopoietic cells.

Additional support for our interpretation that the CD31+ SP cells are endothelial cells, comes from converging lines of indirect evidence from different studies. For example, data from single-cell RNA sequencing studies show few to no blood cells in ex vivo samples collected from naive adult dentate gyrus and SVZ tissue [19, 37, 38]. Primary adult cerebral endothelial cells show high ABC transporter protein levels [39], and single-cell RNA sequencing datasets from the human and mouse brain demonstrate that endothelial cells strongly express ABC transporter gene mRNA [40, 41]. Lastly, the results of Mouthon et al. [3] show that the side population of early postnatal SVZ identified by Hoechst 33342 contains a majority of cells that express the endothelial cell marker CD31 and vonWillebrand factor (vWF), and do not contain NSC markers (e.g., CD133) or the pan-hematopoietic marker CD45. Together these data strongly suggest that the side population from the SVZ and dentate gyrus identified by DCV fluorescence and cell size are likely to be endothelial cells, and future studies could extend this finding when performing more extensive downstream cell analysis.

Requirements for optimization of side population assay

This study also showed that optimization of some parameters is required for accurate side population analysis. The optimization of the DCV dilution (S1 Fig) was done in order to avoid use of low or excess concentrations of DNA-binding dyes that can lead to the false identification of low-fluorescence cells as belonging to the side population [32], as non-effluxing cells in side and main populations are often continuous. Ensuring proper excitation with optimal voltage parameters for primary brain cells (S1C and S1F Fig) is also important to capture full heterogeneity of their DNA content. In addition, the usefulness of the relative cell size parameter (FSC) cannot be understated when locating very small side populations, such as those in the dentate gyrus and SVZ. The incorporation of the ABC transporter inhibitors further allows for more precise, higher resolution identification of the bona fide side population. This is demonstrated by the strong evidence of efflux within the side populations of dentate gyrus and SVZ cells, with 89% and 69% cells inhibited by verapamil and fumitremorgin C, respectively, which may be due to the fact that our inhibitions do not include the ABCC family of transporters. Overall, our findings show that the dentate gyrus and SVZ side populations were reproducible and modest in size and responded to verapamil and fumitremorgin C treatment but could only be identified while gating based on DNA content together with relative cell size.

Using SP assay to detect NSCs

The CD31+ cells represented a fairly small population of total live single cells in the dentate gyrus and SVZ, however, most of the cells within the side population area were positive for CD31. A small fraction of around 25% of dentate gyrus and 48% SVZ side population cells did not express CD31. We hypothesize that these CD31- cells are not NSCs but may be microglial cells, as previously reported in the side populations of SVZ [3], which remains to be confirmed in future work. Moreover, even if these cells are NSCs, given the majority of cells are CD31+ endothelial cells, our data shows that the side population assay would not be efficient for the isolation of NSCs. This is in direct contrast to the efficiency of the side population assay to detect NSCs from cultured embryonic and adult cells from the SVZ niche [3, 12]. Such discrepancies may point to biological differences in cultured and uncultured neurogenic cell niches, which has been suggested to be due to hypoxic conditions of neurosphere cultures [3, 12]. Independent of the cause of these differences, our findings and the work of others support that the identification of NSCs is limited to NSCs cultured in vitro. Additionally, we conclude that the use of DCV and analysis of the side population from ex vivo cell preparations from the neurogenic regions of the adult brain provides an inexpensive method to study effluxing perivascular cells.

Supporting information

S1 Fig. The titration of the DCV reagent in adult dentate gyrus cells.

DCV staining testing 1X (A, D) or 2X DCV (B, E, C, F), as well as varying degrees of voltage for the 2X DCV concentration (B, E vs. C, F) as shown in dual fluorescence plots (A-C) and DCV-Blue/size plots (D-F). These results suggested 2X DCV with optimal excitation (C, F) was sufficient to distinguish the heterogeneous populations. Plots A, B, D, and E were generated from samples of pooled nine female mice. Plot C and F were generated from pooled samples of five male and three female mice, 2.5k cells are shown.

(TIF)

S2 Fig. Characterization of CD31-expresing cells.

CD31 and CD45 staining in the dentate gyrus (A—unstained, B—all-stained) and the SVZ (D—unstained, E—all-stained) show little co-expression of CD31 and CD45 in the main populations (B and E, respectively) with only a small proportion of CD31+ cells expressing CD45 (C and F). These plots are generated based on pooled samples from five male and three female mice, 50k cells are shown.

(TIF)

S1 File

(ZIP)

Acknowledgments

We would like to thank all members of the Lagace lab for continued valued. We thank Vera A. Tang, the operations manager of the uOttawa Flow Cytometry and Virometry Core Facility for critical feedback and assistance with data collection.

Data Availability

All relevant data are within the paper and its Supporting information files.

Funding Statement

Specific grant numbers: RGPIN-2020-06541 Initials of authors who received each award DL Full names of commercial companies that funded the study or authors None Initials of authors who received salary or other funding from commercial companies None URLs to sponsors’ websites None The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.

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Decision Letter 0

Marietta Zille

27 Apr 2021

PONE-D-21-11801

Isolation of the side population from adult neurogenic niches enriches for endothelial cells

PLOS ONE

Dear Dr. Lagace,

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Reviewers' comments:

Reviewer #1: Review Kalinina et al.

In the present manuscript Kalinina et al. report a FACS based method to isolate endothelial cells from mouse brain tissue. The main purpose of the work was to isolate neural stem cells from the gyrus and subventricular zone by gating for side population characterized by low fluorescence in cells that exhibit high efflux of DNA biding dyes. Meanwhile, no neural stem cells were present in the side population, however a large proportion expresses CD31 and the authors suggest these are endothelial cells.

The manuscript is descriptive in nature and provides sound and well controlled protocol, that is relevant for peers studying endothelial cells to have access to. However, CD31 expressing cells my be of hematopoietic origin, and do not makeup the entire side population and this should be addressed in greater detail. Please find my suggestions below:

Major comments

1. A more thorough characterization of the CD31 expressing cells is warranted to draw the conclusion that they are endothelial cells. While it is true that CD31 is a marker of endothelial cells, it should also be considered that white blood cell populations such as monocytes express CD31. This could be by immunohistochemistry, RNAscope, or qPCR using genes/proteins that are specific for endothelial cells1. This would also allow for full or tentative identification of the non CD31 expressing fraction of the side population.

2. The authors should indicate if the presented plots are pooled results of samples from more animals and the abundance of cells recovered from side populations from each brain. Please also include the variability on the protocol between experimental days, i.e. are the same number cells of the side populations obtained from each brain. This is relevant for the applicability of the protocol for isolation of endothelial cells for further studies by peers. Moreover, the authors are asked to systematically report how many mice were used in each experiment (e.g. in figure text) and gender proportion of included animals.

Minor comments:

Line 55-57: Could you include an indication of why it is particularly interesting to isolate cells form this place?

Line 88: Please rephrase, the numbers are confusing. Please also consider that a C57BL/6J mouse is generally considered adult at 3 months of age2.

Line 100: degree sign must be superscript

121: Cell � Cells

165: it is a bit confusing with the figure texts in the middle of the results paragraph. But I assume this is corrected in the final version. Figure text: please indicate how many mice were used to produce these plots

Line 199: Please indicate the number of animals included in the production of these plots. And indicate the number of cells recovered in the side scatter

Line 216: The authors write the cells are heterogeneous in size and DNA content. This supports the major comment 1. That more thorough characterization is called for. Preferably fixation and imaging.

Line 217: Please include actual numbers of cell CD31 expressing cells, and number of animals included for each plot, could also be included in figure text (line 224).

274: please indicate actual populations size of side population preferably in proportion to main population.

281: Authors hypothesize that the CD31- proportion of the side population are microglia and hematopoietic cells – it would elevate the applicability of the protocol for peers significantly if the authors could provide more detailed information about this population.

Figure 3 A and F: can the authors indicate variation in respect to samples in the quantification of CD31 proportions?

1. Vanlandewijck M, He L, Mae MA, et al. A molecular atlas of cell types and zonation in the brain vasculature. Nature. 2018;554(7693):475-480.

2. Flurkey K, M. Currer J, Harrison DE. Chapter 20 - Mouse Models in Aging Research. In: Fox JG, Davisson MT, Quimby FW, Barthold SW, Newcomer CE, Smith AL, eds. The Mouse in Biomedical Research (Second Edition). Burlington: Academic Press; 2007:637-672.

Reviewer #2: This is a very interesting manuscript using FACS for identification and isolation of endothelial cells from neurogenic niches. The authors interpreted the results nicely and the conclusions are comprehensible. The proposed method for identification of endothelial cells can be of specific use if dissociation procedures use enzymes, which may cleave the epitope of interest. Overall, the study appears to be performed carefully. In my opinion, there are no major concerns about the manuscript.

Minor comments include:

- Although the existence of the BBB is discussed in the manuscript, the authors might consider discussing it earlier in the manuscript. When talking about brain ECs, the BBB is a major part. Especially when addressing ABC transporters on brain ECs.

- The authors could extend on the purity of the population when suggesting DCV staining as cheaper and easier option for EC isolation (254, 291)

- The authors mention the number of animals used for the whole study. For quantification, it could be useful to include the number of animals or the SD in e.g. the figure legend for the reader to estimate.

- Dentate gyrus, typo (229, 268)

- Figure legend for Figure 2, SVZ is (B) (199)

- Including a gating strategy to the figure would allow the reader to comprehend easily what is shown in the figure without going back to materials and methods section.

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PLoS One. 2022 Jan 19;17(1):e0250752. doi: 10.1371/journal.pone.0250752.r002

Author response to Decision Letter 0


28 Sep 2021

Reviewer #1: Review Kalinina et al.

In the present manuscript Kalinina et al. report a FACS based method to isolate endothelial cells from mouse brain tissue. The main purpose of the work was to isolate neural stem cells from the gyrus and subventricular zone by gating for side population characterized by low fluorescence in cells that exhibit high efflux of DNA biding dyes. Meanwhile, no neural stem cells were present in the side population, however a large proportion expresses CD31 and the authors suggest these are endothelial cells.

The manuscript is descriptive in nature and provides sound and well controlled protocol, that is relevant for peers studying endothelial cells to have access to. However, CD31 expressing cells maybe of hematopoietic origin, and do not makeup the entire side population and this should be addressed in greater detail. Please find my suggestions below:

We thank the reviewer for their time, extensive review of our manuscript, and the very helpful suggestions.

Major comments

1. A more thorough characterization of the CD31 expressing cells is warranted to draw the conclusion that they are endothelial cells. While it is true that CD31 is a marker of endothelial cells, it should also be considered that white blood cell populations such as monocytes express CD31. This could be by immunohistochemistry, RNAscope, or qPCR using genes/proteins that are specific for endothelial cells. This would also allow for full or tentative identification of the non CD31 expressing fraction of the side population.

Thank you for this insightful comment.

We have completed an additional experiment that supports that the CD31+ cells are unlikely to be a part of the CD45+ blood cell population. As per the attached revised manuscript and new supplemental Figure 2:

Since CD31 is also a marker of hematopoietic cells, we examined whether CD31+ cells co-expressed CD45, a ubiquitous cell antigen expressed on the surface of hematopoietic cells, including monocytes (34,35), and which has been used in flow cytometry together with CD31 to exclude blood cells (28,36). We found that CD45+ cells accounted for 4.80% of all live cells from the dentate gyrus (Fig S2 B), and 6.43% in the SVZ (Fig S 2E). The distribution of CD45+ cells among the CD31+ cells represented a small fraction of all CD31+ cells. Specifically, 5.54% of CD31+ cells in dentate gyrus were positive for CD45 (Fig S 2C), and 9.87% in SVZ (Fig S 2F). Thus, the fairly small overlap in CD31 and CD45 markers suggests that the vast majority of the CD31-expressing DCV-effluxing cells in the side populations of the SVZ and DG are endothelial cells rather than blood cells.

We also hypothesize that our CD31 are not blood cells, due to a variety of different lines of evidence from the literature that we have cited in the revised manuscript discussion. This paragraph now reads:

Additional support for our interpretation that the CD31+ cells are endothelial, comes from converging lines of indirect evidence from different studies. For example, data from single-cell RNA sequencing studies show few to no blood cells in ex vivo samples collected from naive adult dentate gyrus and SVZ tissue (19,37,38). Primary adult cerebral endothelial cells show high ABC transporter protein levels (39), and single-cell RNA sequencing datasets from the human and mouse brain demonstrate that endothelial cells strongly express ABC transporter gene mRNA (40,41). Lastly, the results of Mouthon et al. (3) show that the side population of early postnatal SVZ identified by Hoechst 33342 contains a majority of cells that express the endothelial cell marker CD31 and vonWillebrand factor (vWF), and do not contain NSC markers (CD133) or the pan-hematopoietic marker CD45. Together these lines of data suggest that the side population cells from the SVZ and dentate gyrus identified by DCV fluorescence and cell size are likely to be endothelial cells.

Lastly, we added a sentence within our discussion to acknowledge that despite these converging lines of support, a more downstream analysis of these cells could be done in future studies:

Together these data strongly suggest that the side population cells from the SVZ and dentate gyrus identified by DCV fluorescence and cell size are likely to be endothelial cells, that future studies could confirm when performing more extensive downstream analysis.

2. The authors should indicate if the presented plots are pooled results of samples from more animals and the abundance of cells recovered from side populations from each brain. Please also include the variability on the protocol between experimental days, i.e. are the same number cells of the side populations obtained from each brain. This is relevant for the applicability of the protocol for isolation of endothelial cells for further studies by peers. Moreover, the authors are asked to systematically report how many mice were used in each experiment (e.g. in figure text) and gender proportion of included animals.

We apologize for not including these important methodological details in the first version of manuscript. We have included an additional note in the methods section that for each experiment, including the representative figures, cells from multiple mice were pooled into one dentate gyrus sample and one SVZ sample. In figure legends, we have included number and sex of mice used for the plots.

In terms of variability of the proportion of the side population in different experiments, we have also included the average percentages and standard error of mean and average numbers and standard error of SP and CD31+ cells obtained from mice in different experiments in the results section:

Examination of all performed experiments revealed that the size of dentate gyrus and SVZ side populations was reproducible between experimental days. Specifically, the average size of the dentate gyrus side population from 5 experiments was 3.82±0.26% of all live singlets, with 4050±1099 SP cells analyzed per sample. Similarly, the average size of the SVZ side population from 3 experiments was SVZ of 1.48±0.47% of all live singlets and contained 3328±1817 live single cells per sample.

Analysis of three experiments revealed that CD31+ cells in the dentate gyrus averaged 6.35±0.37% of all live singlets and comprised 13197±2141 live single cells per sample. CD31+ cells from the SVZ were on average 3.93± 0.58% of all live singlets, and contained 6738± 974 live single cells per sample.

In the method section have also added how many cells were analyzed on average per pooled mouse samples. We did not include the percentages or cell numbers per each mouse brain since our study relied on pooled samples from multiple mice and the numbers of mice differed on experimental days. Additionally, the samples were not always run fully on the flow cytometer, therefore, it is not possible to accurately determine the total numbers of SP or CD31+ cells obtained for each mouse as also described now in the methods:

The number of live single cells analyzed in all-stained samples averaged 160±20k live single cells for all experiments. The full entirety of the samples was not run in the experiments since it is reported that at least 25k live single cells is an optimal number for this analysis, thus other experimenters may be able to collect more live single cells from the same number of mice that is reported in this study.

Minor comments:

Line 55-57: Could you include an indication of why it is particularly interesting to isolate cells from this place?

We have added a sentence in the introduction to highlight the importance of isolating cells from the neurogenic niches, as well as references for further reading.

Neural stem cells (NSCs) within the subventricular zone (SVZ) of the lateral ventricle and the subgranular zone of the dentate gyrus can develop into functional mature neurons in the adult brain. There is interest in harvesting cells from these regions in order to understand how NSCs and their progeny contribute to brain function in health and disease and could be harnessed for cell-based brain repair (10,11).

Line 88: Please rephrase, the numbers are confusing. Please also consider that a C57BL/6J mouse is generally considered adult at 3 months of age2.

We have rephrased the problematic wording for the number of mice

Fifty-six male and female two to three months old C57bl/6J background mice were used for all experiments.

We also modified this revised revision throughout to classify our mice are young adults, as defined in method section for 2 months of age. Additionally. we removed the term adult from title and a few other locations in manuscript.

Line 100: degree sign must be superscript

Fixed

121: Cell ? Cells

Fixed

165: it is a bit confusing with the figure texts in the middle of the results paragraph. But I assume this is corrected in the final version

We completely agree the location of the figure legends in the text are confusing and were surprised by to read the PLOSone journal guidelines that: the “Figure captions must be inserted in the text of the manuscript, immediately following the paragraph in which the figure is first cited (read order). Do not include captions as part of the figure files themselves or submit them in a separate document.”

Therefore, as requested by reviewer we have moved the figure legends to all appear after discussion. This can be adjusted if accepted for publication and required by PLOSOne.

p165. Figure text: please indicate how many mice were used to produce these plots

Line 199: Please indicate the number of animals included in the production of these plots. And indicate the number of cells recovered in the side scatter

We have included the number of animals used within figure legends to produce the plots.

Since we have used the singlet and live cell discrimination in addition to debris in side scatter, we included the average number of live single cells recovered for each sample in the Methods under flow cytometry, as it better represents the usable cells recovered from a sample.

The number of live single cells analyzed in all-stained samples averaged 160±20k live single cells for all experiments.

Line 216: The authors write the cells are heterogeneous in size and DNA content. This supports the major comment 1. That more thorough characterization is called for. Preferably fixation and imaging.

As reviewed above in major comment #1, we have strengthened our interpretation that CD31+ cell are endothelial cells, and not blood cells by performing an additional experiment and citing of additional data. The heterogeneity in the size and DNA content is not unexpected and we hypothesize this occurs due to different causes including 1) variability of DNA content and cell size during cell cycle phases and response to microenvironmental cues; 2) the growing appreciation for the diversity in the population of different endothelial cell subtypes (13–15); and 3) the difference in the DNA content of the SP CD31+ cells expelling the DNA dye compared to main population CD31+ cells.

Line 217: Please include actual numbers of cell CD31 expressing cells, and number of animals included for each plot, could also be included in figure text (line 224).

Animal numbers and sex proportions were added to all the figure legends.

We have included actual numbers of CD31+ cells within the results:

Analysis of three experiments revealed that CD31+ cells in the dentate gyrus averaged 6.35±0.37% of all live singlets and comprised 13197±2141 live single cells per sample. CD31+ cells from the SVZ were on average 3.93± 0.58% of all live singlets, and contained 6738± 974 live single cells per sample.

274: please indicate actual populations size of side population preferably in proportion to main population.

We added the size of the inhibited side population as percentage of total side population in the results section:

This is demonstrated by the strong evidence of efflux within the side populations of dentate gyrus and SVZ cells, with 89% and 69% cells inhibited by verapamil and fumitremorgin C, respectively

281: Authors hypothesize that the CD31- proportion of the side population are microglia and hematopoietic cells – it would elevate the applicability of the protocol for peers significantly if the authors could provide more detailed information about this population.

As noted in major comment 1 we have added an additional experiment and literature that suggests hematopoietic cells are unlikely to be in the side population, and thus revised this statement in the discussion to remove the suggestion that they are hematopoietic cells. This section of the discussion is revised as:

The CD31+ cells represented a fairly small population of total live single cells in the dentate gyrus and SVZ, however, most of the cells within the side population area were positive for CD31. A small fraction of around 25% of dentate gyrus and 48% SVZ side population cells did not express CD31. We hypothesize that these CD31- cells are not NSCs but may be microglial cells, as previously reported in the side populations of SVZ (3), which remains to be confirmed in future work.

Figure 3 A and F: can the authors indicate variation in respect to samples in the quantification of CD31 proportions?

As per previous comment, we have added this information in the results section:

Analysis of three experiments revealed that CD31+ cells in the dentate gyrus averaged 6.35±0.37% of all live singlets and comprised 13197±2141 live single cells per sample. CD31+ cells from the SVZ were on average 3.93± 0.58% of all live singlets, and contained 6738± 974 live single cells per sample.

Reviewer #2:

This is a very interesting manuscript using FACS for identification and isolation of endothelial cells from neurogenic niches. The authors interpreted the results nicely and the conclusions are comprehensible. The proposed method for identification of endothelial cells can be of specific use if dissociation procedures use enzymes, which may cleave the epitope of interest. Overall, the study appears to be performed carefully. In my opinion, there are no major concerns about the manuscript.

We appreciate the time reviewer #2 put into reviewing our paper and the helpful minor suggestions for changes.

Minor comments include:

- Although the existence of the BBB is discussed in the manuscript, the authors might consider discussing it earlier in the manuscript. When talking about brain ECs, the BBB is a major part. Especially when addressing ABC transporters on brain ECs.

As suggested we have added the following to the introduction:

This finding is not surprising, since endothelial and microglial cells, along with pericytes and astrocytes form and maintain the blood brain barrier (16–18). Accordingly, one of the main roles of endothelial cells is in brain homeostasis, which relies on the function of the ABC transporters (18).

- The authors could extend on the purity of the population when suggesting DCV staining as cheaper and easier option for EC isolation (254, 291)

As similarly requested by review #1 major comment #1 and described above we have performed additional experiments with CD45, that revealed more than 90% of CD31+ cells in the dentate gyrus and the SVZ are not hematopoietic.

- The authors mention the number of animals used for the whole study. For quantification, it could be useful to include the number of animals or the SD in e.g. the figure legend for the reader to estimate.

We have provided the number and gender of animals in the figure legends, as requested also by Reviewer #1 in comment 2.

- Dentate gyrus, typo (229, 268)

Fixed.

- Figure legend for Figure 2, SVZ is (B) (199)

Fixed.

- Including a gating strategy to the figure would allow the reader to comprehend easily what is shown in the figure without going back to materials and methods section.

We have added a gating strategy image to Figure 3.

Attachment

Submitted filename: Response to Reviewers.docx

Decision Letter 1

Marietta Zille

6 Dec 2021

Isolation of the side population from neurogenic niches enriches for endothelial cells

PONE-D-21-11801R1

Dear Dr. Lagace,

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PLOS ONE

Additional Editor Comments (optional):

All comments have been addressed.

Acceptance letter

Marietta Zille

13 Dec 2021

PONE-D-21-11801R1

Isolation of the side population from neurogenic niches enriches for endothelial cells

Dear Dr. Lagace:

I'm pleased to inform you that your manuscript has been deemed suitable for publication in PLOS ONE. Congratulations! Your manuscript is now with our production department.

If your institution or institutions have a press office, please let them know about your upcoming paper now to help maximize its impact. If they'll be preparing press materials, please inform our press team within the next 48 hours. Your manuscript will remain under strict press embargo until 2 pm Eastern Time on the date of publication. For more information please contact onepress@plos.org.

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Kind regards,

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on behalf of

Prof. Dr. Marietta Zille

Academic Editor

PLOS ONE

Associated Data

    This section collects any data citations, data availability statements, or supplementary materials included in this article.

    Supplementary Materials

    S1 Fig. The titration of the DCV reagent in adult dentate gyrus cells.

    DCV staining testing 1X (A, D) or 2X DCV (B, E, C, F), as well as varying degrees of voltage for the 2X DCV concentration (B, E vs. C, F) as shown in dual fluorescence plots (A-C) and DCV-Blue/size plots (D-F). These results suggested 2X DCV with optimal excitation (C, F) was sufficient to distinguish the heterogeneous populations. Plots A, B, D, and E were generated from samples of pooled nine female mice. Plot C and F were generated from pooled samples of five male and three female mice, 2.5k cells are shown.

    (TIF)

    S2 Fig. Characterization of CD31-expresing cells.

    CD31 and CD45 staining in the dentate gyrus (A—unstained, B—all-stained) and the SVZ (D—unstained, E—all-stained) show little co-expression of CD31 and CD45 in the main populations (B and E, respectively) with only a small proportion of CD31+ cells expressing CD45 (C and F). These plots are generated based on pooled samples from five male and three female mice, 50k cells are shown.

    (TIF)

    S1 File

    (ZIP)

    Attachment

    Submitted filename: Response to Reviewers.docx

    Data Availability Statement

    All relevant data are within the paper and its Supporting information files.


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