Summary

Single-Cell Sorting of Immunophenotyped Mesenchymal Stem Cells from Human Exfoliated Deciduous Teeth

Published: November 10, 2023
doi:

Summary

This protocol describes the use of fluorescence-activated cell sorting of human mesenchymal stem cells using the single-cell sorting method. Specifically, the use of single-cell sorting can achieve 99% purity of the immunophenotyped cells from a heterogeneous population when combined with a multiparametric flow cytometry-based approach.

Abstract

The mesenchymal stem cells (MSCs) of an organism possess an extraordinary capacity to differentiate into multiple lineages of adult cells in the body and are known for their immunomodulatory and anti-inflammatory properties. The use of these stem cells is a boon to the field of regenerative biology, but at the same time, a bane to regenerative medicine and therapeutics owing to the multiple cellular ambiguities associated with them. These ambiguities may arise from the diversity in the source of these stem cells and from their in vitro growth conditions, both of which reflect upon their functional heterogeneity.

This warrants methodologies to provide purified, homogeneous populations of MSCs for therapeutic applications. Advances in the field of flow cytometry have enabled the detection of single-cell populations using a multiparametric approach. This protocol outlines a way to identify and purify stem cells from human exfoliated deciduous teeth (SHEDs) through fluorescence-assisted single-cell sorting. Simultaneous expression of surface markers, namely, CD90-fluorescein isothiocyanate (FITC), CD73-peridinin-chlorophyll-protein (PerCP-Cy5.5), CD105-allophycocyanin (APC), and CD44-V450, identified the "bright," positive-expressors of MSCs using multiparametric flow cytometry. However, a significant drop was observed in percentages of quadruple expressors of these positive markers from passage 7 onwards to the later passages.

The immunophenotyped subpopulations were sorted using the single-cell sort mode where only two positive and one negative marker constituted the inclusion criteria. This methodology ensured the cell viability of the sorted populations and maintained cell proliferation post sorting. The downstream application for such sorting can be used to evaluate lineage-specific differentiation for the gated subpopulations. This approach can be applied to other single-cell systems to improve isolation conditions and for acquiring multiple cell surface marker information.

Introduction

Mesenchymal stem cells (MSCs) can be regarded as a scalable source of cells suitable for cell-based therapies and may be considered a gold standard system in regenerative medicine. These cells can be isolated from a variety of sources in the body with different tissue origins1. Depending on their source tissue, each type of MSC displays an ambiguous in vitro behavior2. This is well observed in their morphological and functional properties3. Multiple studies have shown intra-clonal variation in dimensions, including adult tissue differentiation, genomic state, and metabolic and cellular architecture of MSCs2,4.

Immunophenotyping of cells has been a common application of flow cytometry for the identification of stem cells and this was utilized by the International Society for Cell and Gene Therapy (ISCT) in 2006 to prescribe a list of minimal criteria to identify cells as MSCs. It stated that along with plastic adherence and the ability to differentiate into three lineages (osteogenic, chondrogenic, and adipogenic) in vitro, ≥95% of the cell population must express CD105, CD73, CD90, and these cells must lack the expression (≤2% positive) of CD34, CD45, CD11b, CD14, and HLA-DR, as measured by flow cytometry5. Although the MSCs were defined by a set of biomarkers under the minimal criteria of the ISCT, their immune properties could not be benchmarked with these biomarkers and there was a need for more beyond these criteria to make cross-study comparisons and clonal variations easier to quantify2.

Despite the guidelines set by ISCT, extensive research on MSCs has shown that heterogeneity exists in this population, which could arise due to a multitude of factors, mainly due to the ubiquitous nature of heterogeneity that arises between MSC donors6, tissue sources7, individual cells within a clonal population8, and culture conditions2,9,10. Characterization and purification of these primary cells from a variety of tissue sources to ensure quality and cell fate are key steps in their production. The need to understand the displayed variations amongst the population requires an efficient method to resolve it into subpopulations that can be divided and collected separately11. Single-cell level analyses help overcome the challenges of cell-cell variation, reduce biological noise arising from a heterogeneous population, and offer the ability to investigate and characterize rare cells12.

Based on the purpose and chosen parameters, several methods can be employed to sort and enrich the selected populations. Cell-sorting techniques can comprise both bulk sorting and single-cell sorting methods. While bulk sorting can enrich target populations through Magnetic-activated cell sorting (MACS)13, fractionation14, and elutriation15, single-cell sorting can enrich more homogeneous populations by means of fluorescence-activated cell sorting (FACS)11. A comparative analyses of each of these methods with its own set of advantages and disadvantages is highlighted in Table 1.

Table 1: Comparative analyses of different techniques: MACS, Fractionation, Elutriation, and FACS highlighting the differences in their principle and the advantages and disadvantages of choosing a particular technique over another. Abbreviations: MACS = Magnetic-activated cell sorting; FACS = Fluorescence-activated cell sorting. Please click here to download this Table.

Since the advent of the technique, single-cell flow cytometry has played a major role in enumeration16, detection, and characterization of a specific cell population in a heterogeneous sample17. Hewitt et al. in 2006 laid the foundation of automated cell sorting methodology to enhance the isolation of homogenous pools of differentiated human embryonic stem cells (hESCs)18. Single-cell sorting enriched the population of GFP-transduced hESCs facilitating the isolation of genetically modified clones, which opened a new dimension in clinical research. To improve the sort efficiency, two approaches have generally been taken; either the collection media of the sorted populations are modified to sustain viability and proliferation of post-sorted cells19 or the cell-sorting algorithm/software is appropriately modified12.

With the advancement of technology, commercial flow cytometers and cell sorters have been able to help address challenges that were met while aseptically sorting fragile and rare cell populations, especially stem cells of different origins. One of the major challenges of stem cell biologists has been the clonal isolation of human pluripotent stem cells following transfection protocols required in gene editing studies19. This was addressed by sorting single cells into 96-well plates that were coated with Mouse Embryonic Fibroblasts (MEFs) along with supplements and commercial small molecule ROCK inhibitors. However, cell isolation strategies could be largely refined with the use of index sorting, a feature of the sorting algorithm that identifies the immunophenotype of individual cells sorted12. This refined modality in single-cell sorting helped not only in enhancing sort efficiency for stem cells, especially with regard to rare hematopoietic stem cell populations, but also efficiently linked single-cell clones to their downstream functional assays20.

This paper focuses on single-cell sorting of immunophenotyped stem cells from human exfoliated deciduous teeth (SHEDs) for the enrichment of sub-populations to study their functional differentiation capacities. Using a combination of two MSC-positive markers, CD90 and CD73, and a negative hematopoietic marker CD45, the MSCs were immunophenotyped and the dim and null expressors were identified. Based on their immunophenotype the subpopulations were identified as pure MSCs, single positive and double negative populations. They were sorted using the single-cell sort mode to obtain pure and enriched subpopulations for further functional studies to identify whether the differential expression of markers was an artifact of in vitro culture conditions or whether it has any effect on the functional properties as well. Cells that were not homogeneous expressors of the "positive MSC markers" were sorted to study their functional properties.

Protocol

Ethics approval and consent to participate: Human exfoliated deciduous dental pulp samples were received after obtaining informed consent and full ethical approval by Sri Rajiv Gandhi Dental College and Hospital (SRGCDS) Oral and Maxillofacial Department, Bengaluru, in accordance with the standards established by the Hospital Ethical Clearance Committee, SRGCDS. Following which isolation, culture, maintenance, and application of SHEDs were approved by and in compliance with the guidelines recommended by the Institut…

Representative Results

The SHEDs were characterized with standard immunofluorescence assays showing the expression of vimentin (red, type III intermediate filaments), actin filaments (Alexa fluor 488 Phalloidin Probes), and nuclei stained with DAPI (Figure 1A). To estimate their proliferative and colony-forming capacities, standard short-term cell growth assays were performed. A 14.3-fold increase in proliferation rate from day 2 to day 8 has been shown in Figure 1B. The clonogenic pr…

Discussion

In the field of tissue engineering and regenerative medicine, among the postnatal sources, oral tissue-derived MSCs have attracted profound interest because of their minimal ethical obligations and notable multilineage differentiation potential21. Dental pulp stem cells (DPSCs) from the impacted third molar and SHEDs have garnered the most attention among dental MSCs for their therapeutic potential in neurodegenerative and traumatic diseases22. The protocol described in thi…

Disclosures

The authors have nothing to disclose.

Acknowledgements

We thank the Flow Cell Facility at Jawaharlal Nehru Centre for Advanced Scientific Research, Bengaluru, India, for the use of the flow cytometry core facility. The cryo-sectioning of the pellet culture of differentiated cells was performed at Neuberg Anand Reference Laboratory, Bengaluru, India. This work was supported by UC's intramural funding from the Manipal Academy of Higher Education (MAHE), India. AG is grateful for the support of the Dr. T. M. A. Pai Scholarship from MAHE.

Materials

Alcian Blue Stain HiMedia CCK029-1KT
Antibiotic-Antimycotic (100x)  Gibco by ThermoFisher 15240062
BD CompBead Plus Anti-Mouse Ig, κ/Negative Control (BSA) Compensation Plus (7.5 µm) Particles Set BD Biosciences 560497
BD FACS Accudrop Beads  BD Biosciences 345249 Used to set up the Laser delay when the sort module opens.
BD FACS Aria Fusion Flow cytometer BD Biosciences
BD FACS Diva 9.4 BD Biosciences
BD FACS Sheath Fluid BD Biosciences 342003 Used as sheath fluid for both analysis and sorting experiments in the BD FACSAria Fusion
BD FACSDiva CS&T Research Beads BD Biosciences 655050 Used for Instrument configuration depending on the nozzle size.
BD Horizon V450 Mouse Anti-Human CD44 BD Biosciences 561292
BD Horizon V450 Mouse IgG2b, κ Isotype Control BD Biosciences 560374 CD44-V450 isotype
BD Pharmingen APC Mouse Anti-Human CD105 BD Biosciences 562408
BD Pharmingen APC Mouse IgG1, κ Isotype Control BD Biosciences 555751 CD105-APC isotype
BD Pharmingen DAPI Solution BD Biosciences 564907 DAPI Stock solution of 1 mg/mL
BD Pharmingen FITC Mouse Anti-Human CD90 BD Biosciences 555595
BD Pharmingen FITC Mouse IgG1, κ Isotype Control BD Biosciences 555748 CD90-FITC isotype
BD Pharmingen PE Mouse Anti-Human CD45 BD Biosciences 555483
BD Pharmingen PE Mouse IgG1, κ Isotype Control BD Biosciences 555749 CD45-PE isotype
BD Pharmingen PerCP-Cy 5.5 Mouse Anti-Human CD73 BD Biosciences 561260
BD Pharmingen PerCP-Cy 5.5 Mouse IgG1, κ Isotype Control BD Biosciences 550795 CD73-PerCP-Cy 5.5 isotype
BD Pharmingen Purified Mouse Anti-Vimentin BD Biosciences 550513
Bovine serum albumin Hi-Media  TC548-5G
Crystal violet Nice chemical pvt ltd  C33809
Dulbecco's Phosphate Buffered Saline Sigma-aldrich   D5652-50L dPBS used for culture work and maintenance. 
Ethanol  Used for general sterlization.
Fetal Bovine Serum  Gibco by ThermoFisher  10270-106
Goat anti-Mouse IgG (H+L) Cross-Adsorbed Secondary Antibody, Alexa Fluor 555 ThermoFisher Scientific  A-21422
KO-DMEM Gibco by ThermoFisher  10829018 Basal medium for undifferentiated hESCs, used in the preparation of culture media
L-Glutamine 200mM (100x) Gibco by ThermoFisher 25030-081
Methanol, for Molecular Biology  Hi-Media  MB113
Oil red O HiMedia  CCK013-1KT
Paraformaldehyde  loba chemie 30525-89-4
Penicillin Streptomycin (100x) Gibco by ThermoFisher  15140- 122
Phalloidin (ActinGreen 488 ReadyProbes reagent) Invitrogen  R37110
Silver Nitrate HiMedia  MB156-25G
Sodium Thiosulphate pentahydrate Chemport 10102-17-7
Sphero Rainbow Fluorescent Particles, 3.0 – 3.4 µm BD Biosciences 556291
Staining buffer  Prepared in MIRM  —- It was prepared using 2% FBS in PBS 
StemPro Adipogenesis Differentiation Basal Media  Gibco by ThermoFisher  A10410-01 Basal media for Adipogenic media
StemPro Adipogenesis Supplement Gibco by ThermoFisher  A10065-01 Induction media for Adipogenic media
StemPro Chondrogenesis Supplement Gibco by ThermoFisher  A10064-01 Induction media for Chondrogenic media
StemPro Osteogenesis Supplement Gibco by ThermoFisher  A10066-01 Induction media for Osteoogenic media
StemPro Osteogenesis/Chondrogenesis Differentiation Basal Media  Gibco by ThermoFisher  A10069-01 Basal media for both Ostegenic and Chondrogenic media
Triton-X-100 Hi-Media  MB031
Trypan Blue  Gibco by life technologies  15250-061
Trypsin – EDTA Solution 1x Hi-media  TCL049
Tween-20  MERCK  9005-64-5

References

  1. Kobolak, J., Dinnyes, A., Memic, A., Khademhosseini, A., Mobasheri, A. Mesenchymal stem cells: Identification, phenotypic characterization, biological properties and potential for regenerative medicine through biomaterial micro-engineering of their niche. Methods. 99, 62-68 (2016).
  2. Wilson, A., Hodgson-Garms, M., Frith, J. E., Genever, P. Multiplicity of mesenchymal stromal cells: finding the right route to therapy. Frontiers in Immunology. 10, 1112 (2019).
  3. Li, J., et al. Comparison of the biological characteristics of human mesenchymal stem cells derived from exfoliated deciduous teeth, bone marrow, gingival tissue, and umbilical cord. Molecular Medicine Reports. 18 (6), 4969-4977 (2018).
  4. McLeod, C. M., Mauck, R. L. On the origin and impact of mesenchymal stem cell heterogeneity: new insights and emerging tools for single cell analysis. European Cells & Materials. 34, 217-231 (2017).
  5. Dominici, M., et al. Minimal criteria for defining multipotent mesenchymal stromal cells. The International Society for Cellular Therapy position statement. Cytotherapy. 8 (4), 315-317 (2006).
  6. Wang, J., Liao, L., Wang, S., Tan, J. Cell therapy with autologous mesenchymal stem cells-how the disease process impacts clinical considerations. Cytotherapy. 15 (8), 893-904 (2013).
  7. Kern, S., Eichler, H., Stoeve, J., Kluter, H., Bieback, K. Comparative analysis of mesenchymal stem cells from bone marrow, umbilical cord blood, or adipose tissue. Stem Cells. 24 (5), 1294-1301 (2006).
  8. Dunn, C. M., Kameishi, S., Grainger, D. W., Okano, T. Strategies to address mesenchymal stem/stromal cell heterogeneity in immunomodulatory profiles to improve cell-based therapies. Acta Biomaterialia. 133, 114-125 (2021).
  9. Yang, Y. K., Ogando, C. R., Wang See, C., Chang, T. Y., Barabino, G. A. Changes in phenotype and differentiation potential of human mesenchymal stem cells aging in vitro. Stem Cell Research & Therapy. 9 (1), 131 (2018).
  10. Costa, L. A., et al. Functional heterogeneity of mesenchymal stem cells from natural niches to culture conditions: implications for further clinical uses. Cellular and Molecular Life Sciences. 78 (2), 447-467 (2021).
  11. Bonner, W. A., Hulett, H. R., Sweet, R. G., Herzenberg, L. A. Fluorescence activated cell sorting. Review of Scientific Instruments. 43 (3), 404-409 (1972).
  12. Schulte, R., et al. Index sorting resolves heterogeneous murine hematopoietic stem cell populations. Experimental Hematology. 43 (9), 803-811 (2015).
  13. Liao, X., Makris, M., Luo, X. M. Fluorescence-activated cell sorting for purification of plasmacytoid dendritic cells from the mouse bone marrow. Journal of Visualized Experiments. (117), (2016).
  14. Roda, B., et al. A novel stem cell tag-less sorting method. Stem Cell Reviews and Reports. 5 (4), 420-427 (2009).
  15. Hall, S. R., et al. Identification and isolation of small CD44-negative mesenchymal stem/progenitor cells from human bone marrow using elutriation and polychromatic flow cytometry. Stem Cells Translational Medicine. 2 (8), 567-578 (2013).
  16. Eggleton, M. J., Sharp, A. A. Platelet counting using the Coulter electronic counter. Journal of Clinical Pathology. 16 (2), 164-167 (1963).
  17. Porwit-Ksiazek, A., Aman, P., Ksiazek, T., Biberfeld, P. Leu 7+ (HNK-1+) cells. II. Characterization of blood Leu 7+ cells with respect to immunophenotype and cell density. Scandinavian Journal of Immunology. 18 (6), 495-449 (1983).
  18. Hewitt, Z., et al. Fluorescence-activated single cell sorting of human embryonic stem cells. Cloning and Stem Cells. 8 (3), 225-234 (2006).
  19. Singh, A. M. An efficient protocol for single-cell cloning human pluripotent stem cells. Frontiers in Cell and Developmental Biology. 7, 11 (2019).
  20. Wilson, N. K., et al. Combined single-cell functional and gene expression analysis resolves heterogeneity within stem cell populations. Cell Stem Cell. 16 (6), 712-724 (2015).
  21. Zhou, L. L., et al. Oral mesenchymal stem/progenitor cells: the immunomodulatory masters. Stem Cells Inernational. 2020, 1327405 (2020).
  22. Fawzy El-Sayed, K. M., et al. Adult mesenchymal stem cells explored in the dental field. Advances in Biochemical Engineering/Biotechnology. 130, 89-103 (2013).
  23. Hardy, W. R., et al. Transcriptional networks in single perivascular cells sorted from human adipose tissue reveal a hierarchy of mesenchymal stem cells. Stem Cells. 35 (5), 1273-1289 (2017).
  24. . . FACSAria Fusion User’s Guide. , (2018).
check_url/65723?article_type=t

Play Video

Cite This Article
Gupta, A., Mukhopadhyay, R., Khandelwal, H., Nala, N., Chakraborty, U. Single-Cell Sorting of Immunophenotyped Mesenchymal Stem Cells from Human Exfoliated Deciduous Teeth. J. Vis. Exp. (201), e65723, doi:10.3791/65723 (2023).

View Video