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Prospective isolation of chondroprogenitors from human iPSCs based on cell surface markers identified using a CRISPR-Cas9-generated reporter

Stem Cell Research & Therapy volume 11, Article number: 66 (2020) Cite this article

Abstract

Background

Articular cartilage shows little or no capacity for intrinsic repair, generating a critical need of regenerative therapies for joint injuries and diseases such as osteoarthritis. Human-induced pluripotent stem cells (hiPSCs) offer a promising cell source for cartilage tissue engineering and in vitro human disease modeling; however, off-target differentiation remains a challenge during hiPSC chondrogenesis. Therefore, the objective of this study was to identify cell surface markers that define the true chondroprogenitor population and use these markers to purify iPSCs as a means of improving the homogeneity and efficiency of hiPSC chondrogenic differentiation.

Methods

We used a CRISPR-Cas9-edited COL2A1-GFP knock-in reporter hiPSC line, coupled with a surface marker screen, to identify a novel chondroprogenitor population. Single-cell RNA sequencing was then used to analyze the distinct clusters within the population. An unpaired t test with Welch’s correction or an unpaired Kolmogorov-Smirnov test was performed with significance reported at a 95% confidence interval.

Results

Chondroprogenitors expressing CD146, CD166, and PDGFRβ, but not CD45, made up an average of 16.8% of the total population. Under chondrogenic culture conditions, these triple-positive chondroprogenitor cells demonstrated decreased heterogeneity as measured by single-cell RNA sequencing with fewer clusters (9 clusters in unsorted vs. 6 in sorted populations) closer together. Additionally, there was more robust and homogenous matrix production (unsorted: 1.5 ng/ng vs. sorted: 19.9 ng/ng sGAG/DNA; p < 0.001) with significantly higher chondrogenic gene expression (i.e., SOX9, COL2A1, ACAN; p < 0.05).

Conclusions

Overall, this study has identified a unique hiPSC-derived subpopulation of chondroprogenitors that are CD146+/CD166+/PDGFRβ+/CD45− and exhibit high chondrogenic potential, providing a purified cell source for cartilage tissue engineering or disease modeling studies.

Background

Articular cartilage is the load-bearing tissue that lines the ends of long bones in diarthrodial joints, serving to resist compression and provide a nearly frictionless surface during joint loading and movement [1, 2]. The extracellular matrix of cartilage is comprised primarily of type II collagen and proteoglycans, which are synthesized by the main residing cell type, chondrocytes [3, 4]. However, because it is aneural and avascular, cartilage shows little or no capacity for intrinsic repair [4]. Traumatic injury and a chronic inflammatory state lead to irreversible degeneration of the tissue, driving diseases such as osteoarthritis (OA) [5, 6]. Current treatments only target disease symptoms, creating a great demand for tissue-engineered cartilage as a system for disease modeling, drug testing, and tissue replacement.

Human-induced pluripotent stem cells (hiPSCs) offer a promising source for cartilage tissue engineering and in vitro disease modeling [7] as they have virtually unlimited expansion capacity, can be genetically modified, and can avoid many of the ethical considerations associated with embryonic stem cells [8, 9]. Despite reports of several chondrogenic differentiation protocols for pluripotent stem cells [10,11,12,13,14,15], incomplete differentiation and cell heterogeneity remain as the major obstacles for iPSC chondrogenesis [16, 17]. This challenge has been addressed in other stem and progenitor cell types by prospectively isolating cells that exhibit chondrogenic lineage commitment using surface marker expression. For example, previous studies have identified chondroprogenitors within adult articular cartilage that can be isolated using fibronectin adhesion assays since progenitors express integrins α5 and β1 [18, 19]. Additionally, mesenchymal progenitor cells, which express CD105, CD166 (ALCAM), and CD146 (MCAM), have been reported to have a high chondrogenic potential [19,20,21]. Adult multipotent cells, such as the bone marrow-derived mesenchymal stem cells (MSCs) or adipose-derived stem cells (ASCs), exhibit chondrogenic potential and have been used extensively for cartilage tissue engineering. They are often characterized by a range of cell surface marker expression, including CD105, CD73, CD90, CD271, CD146, Stro-1, and SSEA-4 [22]. In an effort to identify a more developmentally relevant progenitor population, self-renewing human skeletal stem cells characterized by CD164+, CD73−, and CD146− showed chondrogenic differentiation when implanted in a mouse renal capsule [23]. In another study, limb bud cells expressing CD73 and BMPR1β while having low to no expression of CD166, CD146, and CD44 were proposed to be the earliest cartilage committed cells (prechondrocytes) in human embryonic development [24]. However, surface marker characteristics of hiPSC-derived chondroprogenitors or chondrocytes remain to be identified.

Previously, our lab used green fluorescent protein (GFP) reporter systems to track the expression of collagen type II alpha 1 chain (COL2A1) in mouse [25] and human [26] iPSCs, allowing for the prospective isolation and purification of COL2A1-GFP+ chondrogenic cells during the differentiation process. Despite the fact that this approach significantly enhanced homogeneity of iPSC chondrogenesis [26], genome editing is required to create a reporter line, hindering potential clinical translation. In this regard, the identification of cell surface markers that are directly representative of this COL2A1-positive population could greatly enhance the prospective isolation and purification of chondroprogenitors, without requiring genetic modifications to the cell line.

In this study, we used a COL2A1-GFP knock-in reporter hiPSC line as a tool to identify cell surface markers that are highly co-expressed with COL2A1 to test the hypothesis that this subpopulation of chondroprogenitor cells will show increased purity and chondrogenic capacity. Single-cell RNA sequencing (scRNA-seq) was then used to investigate the gene expression profile of this population and to identify subsets within it. Matrix production, cell morphology, and gene expression were measured to evaluate chondrogenic ability of unsorted and sorted chondroprogenitor cells. This chondroprogenitor population appears to represent an intermediate step in the developmental pathway of in vitro hiPSC chondrogenesis in which off-target differentiation also occurs. The identification of surface markers to purify this population of chondroprogenitor cells via sorting will enhance the efficiency of hiPSC chondrogenic differentiation for use in tissue engineering, in vitro disease modeling, and drug testing.

Methods

Materials and methods are briefly summarized. A detailed description is provided in supplemental information.

hiPSC lines and culture

Two hiPSC lines were used in the current study: RVR COL2A1-GFP knock-in line (RVR) and BJFF.6 line (BJFF). Both lines were maintained on vitronectin-coated plates (VTN-N; Fisher Scientific, USA, A14700) with daily medium changes. Cells were passaged at approximately 90% confluency and induced into mesodermal differentiation at 40% confluency.

Mesodermal differentiation

hiPSCs were induced into mesodermal differentiation in monolayer according to the previously published protocol [26]. In brief, cells were fed daily with various cocktails of growth factors and small molecules driving lineage differentiation (anterior primitive streak, paraxial mesoderm, early somite, sclerotome, and chondroprogenitor) in differentiation medium. Upon differentiation into the chondroprogenitor stage, cells were dissociated and were used for cell sorting and chondrogenic differentiation as appropriate.

Fluorescence-activated cell sorting (FACS)

Chondroprogenitor cells were resuspended in FACS Buffer (phosphate-buffered saline without calcium and magnesium (PBS−/−; Gibco, USA, 14-190-250) with 1% fetal bovine serum (FBS) and 1% penicillin/streptomyocin/fungizone (P/S/F; Gibco, USA, 15-240-062) and stained with various antibodies that are conventionally considered markers for mesenchymal progenitor cells (Supplemental Table S1). Cells were then sorted by an Aria-II FACS machine.

10X chromium platform scRNA-seq

Cells were thawed at 37 °C and resuspended in PBS−/− with 0.01% bovine serum albumin (BSA; Invitrogen, USA, AM2616) at a concentration of 2000 cells/μl. Cell suspensions were submitted to the Genome Technology Access Center (GTAC sequencing core) at Washington University in St. Louis for library preparation and sequencing. In brief, 10,000 cells per sample were loaded on a Chromium Controller (10X Genomics, USA) for single capture. Detailed methods for quality control and processing for scRNA-sea data are described in supplemental information.

Expansion of chondroprogenitor cells

Sorted and unsorted chondroprogenitor cells were plated on non-coated flasks and cultured in MEM alpha media (Gibco, USA, 12571048) with 1% penicillin/streptomycin (P/S; Gibco, USA, 15070063), 50 μg/ml l-ascorbic acid 2-phosphate (ascorbate; Sigma-Aldrich, USA, A4544), and 10 ng/ml basic fibroblast growth factor (bFGF; R&D Systems, USA, 233FB001MGC). Cells were fed every 3 days until 80–90% confluency prior to further expansion or chondrogenesis. Chondroprogenitor cells were passaged up to four times.

Chondrogenic differentiation

Sorted, unsorted, and expanded chondroprogenitor cells (after 12 days of mesodermal differentiation) were resuspended at 3 × 105 cells/mL in chondrogenic medium supplemented with 10 ng/ml human transforming growth factor-beta 3 (TGF-β3; R&D Systems, USA, 24-3B3-200CF). Chondrogenic pellets were cultured at 37 °C for 28 days. The medium was changed every 3–4 days.

Histology and immunohistochemistry

After 28 days of chondrogenic differentiation, pellets were fixed and sectioned at 8 μm. Slides were either stained with safranin-O and hematoxylin for glycosaminoglycans evaluation or labeled against various collagen antibodies including COL1A1, COL2A1, COL6A1, and COL10A1.

Biochemical analysis

Chondrogenic pellets (28 days of chondrogenesis) were digested at 65 °C overnight in a papain solution. The PicoGreen (Invitrogen, USA, P7589) and 1,9-dimethylmethylene blue (Sigma-Aldrich, USA, 341088), with chondroitin-4-sulfate (Sigma-Aldrich, USA, C9819) as a standard, assays were used according to the protocols to quantify DNA and sGAG, respectively.

Gene expression

Chondroprogenitor cells were lysed and day 28 pellets were homogenized. Gene expression was analyzed using the ΔΔCT method relative to undifferentiated hiPSCs with the reference gene TATA-box-binding protein (TBP) [27]. An alternative method to analyze gene expression normalized the CT value of the gene of interest to that of the TBP for the same sample. Sequences of primers can be found in the Supplemental Table S2.

Statistical analysis

Quantification of surface marker expression was performed 8 separate times with technical replicates of n = 3–4 for each experiment. Biochemical analysis and RT-qPCR were performed on the pellets collected from two independent sorting experiments (n = 3–4 samples per group per experiment). Gene expression and sGAG/DNA data were tested for normality using the Shapiro-Wilk test. An unpaired t test with Welch’s correction was then performed assuming a Gaussian distribution. If data was not normal, an unpaired Kolmogorov-Smirnov test was performed. All calculations were performed using GraphPad Prism (GraphPad Software; version 8.0). Two-tailed p values were calculated and reported at a 95% confidence interval.

Results

COL2A1-positive chondroprogenitor cells express PDGFRβ, CD146, and CD166

COL2A1-GFP reporter hiPSCs were differentiated into chondroprogenitor cells along the mesodermal lineage for 12 days as previously described [26]. After the 12 days of differentiation, flow cytometric analysis showed that, on average, 4.27% of the population expressed COL2A1 based on GFP expression (Fig. 1a). The COL2A1-positive cells were assumed to be chondroprogenitors with a unique surface marker profile. The cells were labeled for surface markers commonly associated with MSCs and/or chondroprogenitors in the developing limb bud: BMPR1β, CD73, CD105, CD146, CD166, CD271, and PDGFRβ [22,23,24]. Of the total population, less than 1% expressed COL2A1 in addition to either CD271 (0.4%), CD105 (0.16%), CD73 (0.09%), or BMPR1β (0%) (Fig. 1b). Interestingly, 2.32%, 2.17%, or 1.32% of the total population co-expressed COL2A1 with PDGFRβ, CD146, or CD166, respectively (Fig. 1c). Since these markers appear to be the most highly correlated with COL2A1 expression of the previously identified as MSC and/or chondroprogenitor markers selected, cells were sorted based on the expression of these markers for this study. Sorting also removed cells expressing CD45 (< 15% of total cells) to eliminate any non-chondrogenic hematopoietic stem cells potentially derived during mesoderm differentiation (Fig. 1d).

Fig. 1
figure 1

Surface marker analysis and sorting strategy to identify progenitors with robust chondrogenic potential from heterogenous chondroprogenitor (CP) cells. a Flow cytometry showed approximately 4.27% of cells expressed COL2A1-GFP. b, c Chondroprogenitors were labeled for various surface markers and analyzed for co-expression with COL2A1-GFP. b Most COL2A1-GFP+ cells did not express CD271, CD105, CD73, and BMPR1β. c PDGFRβ, CD146, and CD166 were co-expressed with COL2A1-GFP. d A schematic representing the experimental design. The RVR cell line with the COL2A1-GFP reporter was differentiated into chondroprogenitor cells. Surface marker analysis indicated that PDGFRβ, CD146, and CD166 expression were highly co-expressed with COL2A1 but not CD45. e Cells expressing these desired markers were sorted from wildtype BJFF chondroprogenitor cells. To evaluate the chondrogenic potential of the sorted cells, pellets from the sorted cells were either made immediately post-sorting or formed after in vitro expansion. f A higher percentage of the total cell population (~ 16.8%) was triple positive for the desired markers compared to the population not expressing any of these markers. *p < 0.05. Data represented as mean ± SEM. n = 7–8 independent experiments. See also Figure S1

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PDGFRβ-, CD146-, and CD166-enriched chondroprogenitor cells

The BJFF hiPSC line (wildtype without genome editing) was differentiated into chondroprogenitor cells accordingly (12 days in a monolayer). Cells, either directly underwent chondrogenic pellet culture, were expanded, were saved for scRNA-seq, or were labeled for the surface markers of interest (Fig. 1d). Fluorescence-activated cell sorting (FACS) was used to sort live chondroprogenitor cells negative for CD45 and positively expressing PDGFRβ and CD146, followed by expression of CD166 (Fig. 1e). Cells not expressing any of these surface markers were also analyzed as a negative control. Approximately 16.5% of the total chondroprogenitor cell population was triple positive for PDGFRβ, CD146, and CD166, which was significantly higher than the percentage of the cells (7.2% of the total cell population) that were triple-negative for these markers (Fig. 1f). As with unsorted cells, sorted cells were also collected and either pelleted for chondrogenesis, expanded, or saved for scRNA-seq, as described in Fig. 1d.

scRNA-seq reveals that unsorted chondroprogenitor cells contained diverse cell populations

We next used scRNA-seq to explore the cell diversity and genetic profiles of unsorted chondroprogenitor cells. At least 9 distinct cell populations (cell clusters) were observed in unsorted chondroprogenitor cells (Fig. 2a). Among these populations, 5 of them were enriched for a variety of neural cell markers such as SOX2, OTX1, NES, and PAX6 (Fig. 2b), likely representing populations of the neurogenic lineage. Of these, SOX2, OTX1, and PAX6 expression were significantly downregulated with sorting according to RT-qPCR (Figure S2A). Furthermore, we found that 3 cell populations exhibited high expression levels of several mesenchyme markers including PRRX1, COL1A1, COL5A1, and COL6A1 which were comparable between sorted and unsorted groups, while only a small cell population (2.3% of total cells) expressed chondrogenic markers such as SOX9, COL2A1, IGFBP5, and NKX3-2 (Fig. 2b, c, S2B, and S2C). Using Gene Ontology (GO) enrichment analysis of the gene sets representing each cell cluster (Fig. 2d and S1A), we observed that cells expressing SOX9 and COL2A1 demonstrated gene sets enriched for protein translation and skeletal system development.

Fig. 2
figure 2

Cell populations and GO enrichment analysis of unsorted chondroprogenitor cells. a scRNA-seq identified unsorted chondroprogenitor cells contained at least 9 populations, which could be further categorized into 3 broad classes: neurogenic cells (blue dashed circle), chondrogenic cells (green dashed circle), and mesenchyme (brown dashed circle). b Expression of signature genes of each cell lineage. c GO terms analysis (biological process) of each unique population. d Percentage of total unsorted chondroprogenitor cells in each unique cell population. More than 20% of the unsorted chondroprogenitors were SOX2/TTR/NES+ neurogenic cells, while only small number of unsorted cells expressed SOX9 and COL2A1. See also Figure S1

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scRNA-seq reveals that sorting enriched SOX9/COL2A1+ cells

scRNA-seq of sorted chondroprogenitor cells indicated that there were at least 6 cell populations consisting of PDGFRβ+/CD146+/CD166+ cells (Fig. 3a). Surprisingly, there was still a small percentage of cells (4% of total sorted cells) expressing SOX2 and NES, despite the stringent sorting regime (Fig. 3b, c). We also observed that SOX2/NES+ cells exhibited a high expression of CD47, an integrin-associated protein [28] (Figure S1B). Nevertheless, sorting still significantly enriched cells positive for SOX9 and COL2A1 by > 11-fold (27% of total sorted cells vs. 2.3% of total unsorted cells). Interestingly, the overall gene expression of these chondrogenic genes was not increased. In fact, COL2A1 was decreased with sorting when evaluated by RT-qPCR (Figure S2C). We observed that sorting slightly increased the percentage of the cells expressing ALCAM (CD166, 22.1% of the unsorted cells vs. 28.3% of the sorted cells). However, 9.9% of the total sorted cells were triple positive for SOX9/COL2A1/ALCAM, while only 0.8% of the total unsorted cells co-expressed these three genes. Interestingly, we also found that ALCAM was also expressed by both chondrogenic and neurogenic progenitors (e.g., 31.9% of SOX9/COL2A1+ cells and 44.9% of SOX2/TTR+ cells were positive for ALCAM in the sorted group), implying ALCAM alone may not be used as a sole marker for chondroprogenitor cells. Additionally, we also observed that gene expression levels of the sorting makers were enriched in the sorted population, with ALCAM highest in the SOX9 and COL2A1 cluster compared to the enrichment of all three in the unsorted mesenchyme population (Fig. 3d). Similarly, there was an enrichment of some previously reported pro-chondrogenic markers [18, 19, 21, 24] in the sorted chondroprogenitor population; specifically ITGA5 and ENG (CD105) (Figure S3). Skeletal system development, as expected, emerged as a significant GO term in SOX9/COL2A1+ cells, while HMGB2/TOP2A+ and LGALS1/PTTG1+ cells were enriched in gene sets of cell division (Fig. 3e and S1C).

Fig. 3
figure 3

Cell populations and GO enrichment analysis of sorted chondroprogenitor cells. a scRNA-seq identified PDGFRβ+/CD146+/CD166+ cells contained at least 6 populations. b Expression of signature genes of each cell lineage. The sorted cells were enriched for mesenchymal and chondrogenic genes. c Percentage of total sorted chondroprogenitor cells in each unique cell population. Twenty-seven percent of the sorted were SOX9/COL2A1. Interestingly, a small percentage of cells (4% of total sorted cells) expressing SOX2 and NES was still observed. d PDGFRβ+/CD146+/CD166+ sorted cells may belong to the mesenchymal population (brown dashed circle) in unsorted cells. The green dashed circle indicates the population that was positive for SOX9 and COL2A1.e GO terms analysis (biological process) showing skeletal system development was highlighted in SOX9/COL2A1+ cells, while HMGB2/TOP2A+ and LGALS1/PTTG1+ cells were enriched in gene sets of cell division. See also Figure S1

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Canonical correlation analysis (CCA) demonstrates high enrichment of proliferative and mesenchymal genes in sorted chondroprogenitor cells

CCA, a machine-learning method that performs linear combinations of features across data sets that are maximally correlated, was used to integrate scRNA-seq datasets from sorted and unsorted cells [29]. Five major conserved populations were identified after CCA alignment of the sorted and unsorted chondroprogenitor cells (Fig. 4a). Among these populations, HIST1H4C+ cells accounted for the largest conserved population, while the IGFBP5/COL2A1+ cluster was the smallest. We next explored how sorting enriches or decreases the levels of gene expression within each individual population by analyzing differentially expressed genes (DEGs) (Fig. 4b). Within the IGFBP5/COL2A1+ population, sorted cells exhibited significantly upregulated expression of several mesenchymal genes including TPM1, TAGLN, and TMSB10 (indicated by the brown circle), which have been suggested to be essential in chondrogenesis [30, 31]. Furthermore, within the IGFBP5/COL2A1+ population, sorted cells demonstrated significantly downregulated expression of IGFBP5 (indicated by the blue circle), an important transcription factor inducing chondroprogenitor cells into the chondrogenic lineage [32].

Fig. 4
figure 4

CCA for integrated analysis of sorted and unsorted scRNA-seq datasets. a Five major conserved populations were identified after CCA alignment of the sorted and unsorted chondroprogenitor cells. b DEG analysis indicated that sorted cells exhibited significantly upregulated expression of several mesenchymal genes including TPM1, TAGLN, and TMSB10 (brown circle), which have been suggested to be essential in chondrogenesis. Proliferative markers including SOX4 (red circle) and TUBA1A (yellow circle) were increased, but IGFBP5 (blue circle) and several ribosomal genes were decreased in sorted cells

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Sorting improved matrix production and homogeneity in cartilaginous pellets

Sorted and unsorted cells from both the reporter and wildtype lines underwent chondrogenesis in pellet culture for 28 days. Pellets stained with safranin-O for sulfated glycosaminoglycans (sGAGs) showed that sorting increased matrix production as well as homogeneity of cell morphology (Fig. 5a and S4). Additionally, the layer of non-cartilaginous-like cells surrounding unsorted cell pellets was eliminated in the pellets derived from sorted cells. Biochemical analysis demonstrated that sorting significantly increased the ratio of sGAGs to DNA in pellets by almost 15-fold (unsorted: 1.5 ng/ng vs. sorted: 19.89 ng/ng, Fig. 6a). Similarly, there was an increase in production and homogeneity observed in sorted pellets labeled for COL2A1 (Fig. 5b). In addition, IHC labeling for COL1A1 showed a slight decrease at the perimeter of the pellet while the labeling for COL10A1 showed an increase in the respective matrix proteins with sorting (Fig. 5c, d). Additionally, pellets formed with sorted cells had more localized staining of COL6A1 around the cells as shown with IHC compared to the more diffused pattern observed with unsorted cells (Figure S5).

Fig. 5
figure 5

Histology and IHC for matrix proteins in RVR-COL2 and BJFF pellets. a Safranin-O staining for sGAG showing pellets derived from sorted chondroprogenitor cells had more robust staining and homogenous cell morphology compared to pellets derived from unsorted cells in both lines. b Labeling of COL2A1 showed similar results with an increase in COL2A1 in sorted pellets as opposed to unsorted which has isolated areas of staining. c There was little labeling of COL1A1 for both unsorted and sorted cell pellets. d Labeling for COL10A1 was increased with sorting. Scale bar = 200 μm. Inset scale bar = 400 μm. See also Figure S4 and S5

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Fig. 6
figure 6

Quantitative analysis of matrix production and gene expression. a Sorting of chondroprogenitor cells prior to chondrogenesis significantly increased the sGAG/DNA ratio to approximately 20 ng/ng. b–d Expression of chondrogenic genes ACAN, SOX9, and COL2A1 was significantly increased with sorting. e, f Sorting significantly unregulated fibrocartilage and bone matrix marker COL1A1, and hypertrophic cartilage marker COL10A1. Gene expression in reference to undifferentiated hiPSCs with housekeeping gene TBP. *p < 0.05, **p < 0.01, ***p < 0.001, and ****p < 0.0001. Data represented as mean ± SEM. n = 6–7 per group: 2 experimental replicates, 3–4 technical replicates (pellets). See also Figure S6

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Expression of cartilaginous genes was significantly higher in pellets derived from triple-positive chondroprogenitor cells

Gene expression in pellets derived from unsorted and triple-positive sorted chondroprogenitor cells was analyzed using RT-qPCR. Chondrogenic genes SOX9 (unsorted 0.88-fold change vs. sorted 6.62 fold change), ACAN (unsorted 7.22-fold change vs. sorted 1614-fold change), and COL2A1 (unsorted 0.68-fold change vs. sorted 1667-fold change) were significantly increased in sorted pellets (Fig. 6b–d). Additionally, COL1A1 (unsorted 0.74-fold change vs. sorted 25.91-fold change) and COL10A1 (unsorted 2.69-fold change vs. sorted 54.32-fold change) were significantly higher in sorted pellets compared to unsorted (Fig. 6e, f). Statistical significance was maintained for all genes when analyzed alternatively (Figure S6).

Chondrogenic capacity was maintained through one passage of unsorted and sorted chondroprogenitor cells

Pellets derived from passage 1 (p1) sorted cells exhibited the most robust and homogenous safranin-O staining as compared to the pellets derived from sorted cells of later passages and to the pellets derived from unsorted cells of a similar passage (Figure S7). Pellets derived from p2-4 unsorted and sorted chondroprogenitor cells had comparable staining and cell morphology with decreased chondrogenic capacity (Figure S7).

Discussion

Using a COL2A1-GFP reporter line, we identified a novel combination of surface markers (i.e., PDGFRβ+/CD146+/CD166+/CD45−) depicting a unique progenitor population with robust chondrogenic potential in hiPSC chondrogenesis. This finding was further confirmed by significantly increased cartilaginous matrix production of the prospectively isolated cells with these selected markers from a wildtype, non-edited hiPSC line. The results of scRNA-seq of sorted cells revealed that cells positive for PDGFRβ, CD146, and CD166 exhibited enhanced cell homogeneity with decreased neurogenic subpopulations. These findings support the hypothesis that sorting of hiPSC-derived chondroprogenitor cells with surface markers can be used to purify progenitor cells with enhanced chondrogenic potential, without the need for genetic modification to improve hiPSC chondrogenesis [25, 26].

We previously reported that chondroprogenitor cells at the end of mesodermal lineage differentiation had a high expression of CD146 and CD166 [26]. In the present study, we observed that these markers were also co-expressed with COL2A1. CD146 and CD166, along with CD105, have also been shown to be expressed in chondroprogenitors in articular cartilage [19,20,21]. While our chondroprogenitor cells did not co-express CD105 (ENG) with COL2A1, sorting did enrich CD105 gene expression. Interestingly, it has been shown that CD105 itself may not indicate chondrogenic potential [33]. In addition, scRNA-seq showed that sorted cells exhibited increased expression of ITGB1 (CD29) and ITGA5 (CD49e), which have been deemed necessary for chondrogenic differentiation in progenitor cells and MSCs [18, 19, 34]. Nevertheless, our chondroprogenitor cells had somewhat different expression profiles than skeletal progenitor cells identified previously in vivo [23, 24]. Moderate expression of CD164, a surface marker of the skeletal stem cell [23], was conserved between the unsorted and sorted chondroprogenitor cells while many other markers described were absent from both populations including prechondrocyte markers BMPR1β and CD73 (NT5E) [24]. Therefore, the chondroprogenitor population described in this study is a distinct, unique subpopulation of iPSCs that possesses robust chondrogenic potential.

Several factors may contribute to the differences in cell surface markers that have been identified as markers of chondrogenesis in these different cell types. First, in our study, we used a differentiation protocol which follows the paraxial mesodermal lineage of cartilage [26, 35]. Different types of cartilage follow various developmental pathways (e.g., paraxial mesoderm vs. lateral plate mesoderm), and therefore, the other studies could be investigating these lineages; thus, the cells would have different surface marker expression during differentiation [35,36,37]. Another explanation may be the time point along the developmental pathway in which the cells are being investigated. Our surface marker profiles are based on the expression of COL2A1. While COL2A1 is one of the most prominent matrix proteins in articular cartilage [4] and can indicate chondrogenic potential and determination of a chondrogenic fate [38], COL2A1 is a relatively late marker of chondrogenesis [39]. Therefore, differences between the cell surface markers identified in our study as compared to other previous work may reflect differences in the prescribed differentiation pathway or the specific subpopulation identified.

In addition to the fact that COL2A1 expression is a later chondrogenic marker, COL2A1 expression was found throughout the entire unsorted population including neurogenic cells and sorting significantly decreased its overall expression indicating that COL2A1+ cells were heterogeneous. This finding is consistent with studies showing that COL2A1 expression may be a broader indicator for the initial lineage specification of a variety of tissues rather than a sole marker for chondrogenesis during embryonic development [39,40,41]. Indeed, it has been reported that COL2A1 is expressed in the floor plate of the central nervous system [42], which provides a plausible explanation for our observation of COL2A1 expression in neurogenic cells. This may also explain why there are many COL2A1-positive cells not expressing the selected surface markers. CD146, CD166, and PDGFRβ may be specific to chondroprogenitors as opposed to cells of other lineages also expressing collagen type II; thus, purifying the population as shown with increased COL2A1 IHC labeling when compared to sorting for COL2A1 alone. Following sorting for these markers, the size of the chondrogenic SOX9/COL2A1 population was increased and, while the neural SOX2 populations were reduced, a SOX2/TTR population remained. In fact, this population had a high expression of CD47, an integrin-associated and modulating protein [28] that could be used as an additional marker for sorting in future experiments to improve homogeneity. The expression of nestin and several mesenchyme markers appeared to be permissive in sorted cells, suggesting that PDGFRβ/CD146/CD166 triple-positive cells may still have a similar signature as neural crest cells [43, 44] and might come primarily from mesenchyme populations in unsorted cells. Nonetheless, despite the presence of 6 unique cell clusters, including the SOX2/TTR population, sorted chondroprogenitor cells showed robust chondrogenic capacity.

The sorted chondroprogenitors, which all express PDGFRβ, CD146, and CD166, were found to be localized in the mesenchyme clusters of unsorted cells. The alignment of the unsorted and sorted populations by CCA allowed us to compare similarities and differences between the two groups. After alignment, the largest cell cluster expressed histone H4 (HIST1H4C). Histones are primarily synthesized during the S-phase of the cell cycle to package the replicated DNA [45], thus indicating the large portion of cells in both sorted and unsorted populations are proliferative. Furthermore, there was a decrease in insulin-like growth factor binding protein-5 (IGFBP5) expression in sorted cells among the IGFBP5/CO2A1 population compared to unsorted. IGFBP5 plays a role in insulin-like growth factor-1 (IGF-1)-dependent chondrocyte proliferation [46] and protects cartilage during OA-induced degeneration [47]. It is possible that sorted cells may be precursors not fully committed to chondrogenic lineage in comparison with unsorted cells. This could be further supported by the observation that sorted cells had increased expression in neural crest and proliferation markers (i.e., SOX4 and TUBA1A, respectively) [48]. Indeed, for all populations identified in the sorted cells, we found that they exhibited elevated expression in proliferative and mesenchymal genes, further suggesting that sorted cells were primarily derived from mesenchyme populations in unsorted cells. Nonetheless, subpopulations in sorted cells still expressed unique gene signatures as shown by the clustering. This finding implies that chondrocytes may differentiate from mesenchyme cells with a variety of transcriptomic profiles if given the correct signaling cues with appropriate timing.

Cartilaginous pellets derived from sorted chondroprogenitor cells showed a significant increase in chondrogenic matrix production and gene expression along with the elimination of a surrounding layer of non-chondrocyte-like cells. Despite the increase in COL1A1 gene expression, COL1A1 protein, as indicated by IHC labeling, does not reflect its gene expression, implying a potential possibility of post-transcriptional regulation of COL1A1 in protein translation [49]. These results also suggest that the matrix produced by the hiPSC-derived chondrocytes is similar to hyaline cartilage instead of fibrocartilage which is rich in COL1A1 protein. Surprisingly, there was also a relatively small increase in IHC labeling of COL10A1, a matrix protein often associated with hypertrophic chondrocytes [50, 51]. Interestingly, COL6A1 was observed to be more localized around the cells in pellets derived from sorted cells. In developing neonatal cartilage, COL6A1 is found throughout the matrix, but with maturity, it is only found in the pericellular matrix surrounding the chondrocytes [52,53,54]. The increased expression in COL10A1 at both mRNA and protein levels alongside the co-localization of COL6A1 around chondrocytes suggests that the chondrocytes derived from the sorted cells were at more mature stages as compared to the chondrocytes derived from unsorted cells after 28 days of chondrogenic culture. With maturity and COL10A1 secretion, there is a possibility that these cells may further differentiate into hypertrophic chondrocytes and undergo endochondral ossification. Future studies could be done to investigate the differentiation trajectory with more time in culture and in vivo.

As cell sorting can significantly decrease the number of functional cells [55], we also examined the effects of cell expansion on the differentiation potential of the sorted cells prior to chondrogenesis. Cells in the first passage following sorting exhibit high chondrogenic potential and sGAG staining in pellet culture. However, in subsequent passages, cells showed signs of dedifferentiation and loss of chondrogenic capacity, similar to that observed in primary chondrocytes [56] as well as similarly sorted mouse iPSCs [25]. The decreased chondrogenic potential of sorted cells may result from telomere erosion [57], plating density (e.g., cell-cell and cell-matrix interactions) [56, 58,59,60], mechanobiological factors (e.g., plate stiffness and/or coating) [61, 62], or culture medium (e.g., low vs. high glucose, growth factors) [58, 61]. While we used an expansion media similar to MSC expansion media due to similarities of the cells, in the future, the media could be altered by changing the glucose level [60] and/or adding growth factors such as fibroblastic growth factor (FGF)-2 and FGF-4, bone morphogenic protein (BMP)-2 and BMP-3, transforming growth factor-beta (TGFβ)-3, heparin-binding epidermal growth factor (EGF), and platelet-derived growth factor (PDGF)-BB [58, 61, 63] as these have been shown to maintain and improve multipotency and chondrogenic capacity.

Conclusions

In conclusion, we have identified a unique chondroprogenitor population from hiPSCs which expresses PDGFRβ, CD146, and CD166 and has strong chondrogenic potential. While the population does share some characteristics with previously defined chondroprogenitors and traditionally defined MSCs, it has a distinct profile. The methods and findings in this study will contribute to future cartilage tissue engineering and disease modeling studies to improve the understanding and treatment of joint diseases such as OA.

Availability of data and materials

All sequencing data will be deposited in GEO upon publication of the paper.

Abbreviations

ASC:

Adipose-derived stem cell

BSA:

Bovine serum albumin

Cas9:

CRISPR-associated protein 9

CCA:

Canonical correlation analysis

COL1A1:

Collagen type one alpha chain one

COL2A1:

Collagen type two alpha chain one

COL6A1:

Collagen type six alpha chain one

COL10A1:

Collagen type ten alpha chain one

CP:

Chondroprogenitor

CRISPR:

Clustered regularly interspaced short palindromic repeats

DNA:

Deoxyribonucleic acid

FACS:

Fluorescent activated cell sorting

bFGF:

Basic fibroblastic growth factor

G phase:

Gap phase

GFP:

Green fluorescent protein

GO:

Gene ontology

GTAC:

Genome Technology Access Center

hiPSC:

Human-induced pluripotent stem cells

IHC:

Immunohistochemistry

M phase:

Mitotic phase

mRNA:

Messenger ribonucleic acid

MSC:

Mesenchymal stem cell

OA:

Osteoarthritis

p:

Passage

PBS:

Phosphate-buffered saline

P/S:

Penicillin and streptomycin

RNA:

Ribonucleic acid

RT-qPCR:

Reverse transcription-quantitative polymerase chain reaction

S phase:

Synthesis phase

Saf-O:

Safranin-O stain

scRNA-seq:

Single-cell RNA sequencing

sGAG:

Sulfated glycosaminoglycan

TBP:

TATA-box-binding protein

TGF-β3:

Transforming growth factor-beta three

References

  1. Mow VC, Ateshian GA, Spilker RL. Biomechanics of diarthrodial joints: a review of twenty years of progress. J Biomech Eng. 1993;115:460–7.

    Article  CAS  PubMed  Google Scholar 

  2. Guilak F. Biomechanical factors in osteoarthritis. Best Pract Res Clin Rheumatol. 2011;25:815–23.

    Article  PubMed  PubMed Central  Google Scholar 

  3. Lin Z, Willers C, Xu J, et al. The chondrocyte: biology and clinical application. Tissue Eng. 2006;12:1971–84.

    Article  CAS  PubMed  Google Scholar 

  4. Fox AJS, Bedi A, Rodeo SA. The basic science of articular cartilage: structure, composition, and function. Sport Heal A Multidiscip Approach. 2009;1:461–8.

    Article  Google Scholar 

  5. Berenbaum F, Griffin TM, Liu-Bryan R. Metabolic regulation of inflammation in osteoarthritis. Arthritis Rheumatol. 2016;69:9–21.

    Article  Google Scholar 

  6. Lieberthal J, Sambamurthy N, Scanzello CR. Inflammation in joint injury and post-traumatic osteoarthritis. Osteoarthr Cartil. 2015;23:1825–34.

    Article  CAS  Google Scholar 

  7. Musunuru K. Genome editing of human pluripotent stem cells to generate human cellular disease models. Dis Model Mech. 2013;6:896–904.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  8. Takahashi K, Tanabe K, Ohnuki M, et al. Induction of pluripotent stem cells from adult human fibroblasts by defined factors. Cell. 2007;131:861–72.

    Article  CAS  PubMed  Google Scholar 

  9. Yumlu S, Stumm J, Bashir S, et al. Gene editing and clonal isolation of human induced pluripotent stem cells using CRISPR/Cas9. Methods. 2017;121–122:29–44.

    Article  PubMed  CAS  Google Scholar 

  10. Nejadnik H, Diecke S, Lenkov OD, et al. Improved approach for chondrogenic differentiation of human induced pluripotent stem cells. Stem Cell Rev Rep. 2015;11:242–53.

    Article  CAS  PubMed  Google Scholar 

  11. Yamashita A, Morioka M, Yahara Y, et al. Generation of scaffoldless hyaline cartilaginous tissue from human iPSCs. Stem Cell Rep. 2015;4:404–18.

    Article  CAS  Google Scholar 

  12. Lee J, Taylor SEB, Smeriglio P, et al. Early induction of a prechondrogenic population allows efficient generation of stable chondrocytes from human induced pluripotent stem cells. FASEB J. 2015;29:3399–410.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  13. Suchorska WM, Augustyniak E, Richter M, et al. Comparison of four protocols to generate chondrocyte-like cells from human induced pluripotent stem cells (hiPSCs). Stem Cell Rev Rep. 2017;13:299–308.

    Article  CAS  PubMed  Google Scholar 

  14. Lian Q, Zhang Y, Zhang J, et al. Functional mesenchymal stem cells derived from human induced pluripotent stem cells attenuate limb ischemia in mice. Circulation. 2010;121:1113–23.

    Article  PubMed  Google Scholar 

  15. Craft AM, Rockel JS, Nartiss Y, et al. Generation of articular chondrocytes from human pluripotent stem cells. Nat Biotechnol. 2015;33:638–45.

    Article  CAS  PubMed  Google Scholar 

  16. Yoshida Y, Yamanaka S. Recent stem cell advances: induced pluripotent stem cells for disease modeling and stem cell-based regeneration. Basic Sci Clin; 1222. Epub ahead of print 2010. doi: https://doi.org/10.1161/CIRCULATIONAHA.109.881433.

    Article  PubMed  Google Scholar 

  17. Cahan P, Daley GQ. Origins and implications of pluripotent stem cell variability and heterogeneity. Nat Rev Mol Cell Biol. 2013;14:357–68.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  18. Williams R, Khan IM, Richardson K, et al. Identification and clonal characterisation of a progenitor cell sub-population in normal human articular cartilage. PLoS One. 2010;5:e13246.

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  19. Vinod E, Boopalan PRJV, Sathishkumar S. Reserve or resident progenitors in cartilage? Comparative analysis of chondrocyes versus chondroprogenitors and their role in cartilage repair. Cartilage. 2018;9:171–82.

    Article  CAS  PubMed  Google Scholar 

  20. Su X, Wu Z, Chen J, et al. CD146 as a new marker for an increased chondroprogenitor cell sub-population in the later stages of osteoarthritis. J Orthop Res. 2015;33:84–91.

    Article  CAS  PubMed  Google Scholar 

  21. Alsalameh S, Amin R, Gemba T, et al. Identification of mesenchymal progenitor cells in normal and osteoarthritic human articular cartilage. Arthritis Rheum. 2004;50:1522–32.

    Article  PubMed  Google Scholar 

  22. Lv FJ, Tuan RS, Cheung KM, et al. Concise review: the surface markers and identity of human mesenchymal stem cells. Stem Cells. 2014;32:1408–19.

    Article  CAS  PubMed  Google Scholar 

  23. Chan CKF, Gulati GS, Sinha R, et al. Identification of the human skeletal stem cell. Cell. 2018;175:43–56.e21.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  24. Wu L, Bluguermann C, Kyupelyan L, et al. Human developmental chondrogenesis as a basis for engineering chondrocytes from pluripotent stem cells. Stem Cell Rep. 2013;1:575–89.

    Article  CAS  Google Scholar 

  25. Diekman BO, Christoforou N, Willard VP, et al. Cartilage tissue engineering using differentiated and purified induced pluripotent stem cells. Proc Natl Acad Sci U S A. 2012;109:19172–7.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  26. Adkar SS, Wu C-L, Willard VP, et al. Step-wise chondrogenesis of human induced pluripotent stem cells and purification via a reporter allele generated by CRISPR-Cas9 genome editing. Stem Cells. 2019;37:65–76.

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  27. Livak KJ, Schmittgen TD. Analysis of relative gene expression data using real-time quantitative PCR and the 2 C T method. Methods. 2001;25:402–8.

    Article  CAS  PubMed  Google Scholar 

  28. Brown EJ, Frazier WA. Integrin-associated protein (CD47) and its ligands. Trends Cell Biol. 2001;11:130–5.

    Article  CAS  PubMed  Google Scholar 

  29. Butler A, Hoffman P, Smibert P, et al. Integrating single-cell transcriptomic data across different conditions, technologies, and species a n a ly s I s. Nat Biotechnol. 2018;36:411–20.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  30. Zhang W, Chu W, Liu Q, et al. Deer thymosin beta 10 functions as a novel factor for angiogenesis and chondrogenesis during antler growth and regeneration. Stem Cell Res Ther. 2018;9:1–17.

    Article  Google Scholar 

  31. Molnar A, Gyurjan I, Korpos E, et al. Identification of differentially expressed genes in the developing antler of red deer Cervus elaphus. Mol Gen Genomics. 2007;277:237–2248.

    Article  CAS  Google Scholar 

  32. Clemmons DR. IGF binding proteins and their functions. Mol Reprod Dev. 1993;35:368–75.

    Article  CAS  PubMed  Google Scholar 

  33. Cleary MA, Narcisi R, Focke K, et al. Expression of CD105 on expanded mesenchymal stem cells does not predict their chondrogenic potential. Osteoarthr Cartil. 2016;24:868–72.

    Article  CAS  Google Scholar 

  34. Cicione C, Díaz-Prado S, Muiñ Os-Ló Pez E, et al. Molecular profile and cellular characterization of human bone marrow mesenchymal stem cells: donor influence on chondrogenesis. Differentiation. 2010;80:155–65.

    Article  CAS  PubMed  Google Scholar 

  35. Loh KMM, Chen A, Koh PWW, et al. Mapping the pairwise choices leading from pluripotency to human bone, heart, and other mesoderm cell types. Cell. 2016;166:451–68.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  36. Decker RS, Koyama E, Pacifici M. Genesis and morphogenesis of limb synovial joints and articular cartilage. Matrix Biol. 2014;39:5–10.

    Article  CAS  PubMed  Google Scholar 

  37. Bronner ME, Ledouarin NM. Evolution and development of the neural crest: an overview. Dev Biol. 2012;366:2–9.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  38. Grant TD, Cho J, Ariail KS, et al. Col2-GFP reporter marks chondrocyte lineage and chondrogenesis during mouse skeletal development. Dev Dyn. 2000;218:394–400.

    Article  CAS  PubMed  Google Scholar 

  39. Kosher RA, Solursh M. Widespread distribution of type II collagen during embryonic chick development. Dev Biol. 1989;131:558–66.

    Article  CAS  PubMed  Google Scholar 

  40. Kulyk WM, Coelho CND, Kosher RA. Type IX collagen gene expression during limb cartilage differentiation. Matrix. 1991;11:282–8.

    Article  CAS  PubMed  Google Scholar 

  41. Nah H-D, Rodgers BJ, Kul Yk WM, et al. In situ hybridization analysis of the expression of the type II collagen gene in the developing chicken limb bud. Epub ahead of print 1988. doi: https://doi.org/10.1016/S0174-173X(88)80001-3.

    Article  CAS  PubMed  Google Scholar 

  42. Yan Y-L, Hatta K, Riggleman B, et al. Expression of a type II collagen gene in the zebrafish embryonic axis. Dev Dyn. 1995;203:363–76.

    Article  CAS  PubMed  Google Scholar 

  43. Isern J, García-García A, Martín AM, et al. The neural crest is a source of mesenchymal stem cells with specialized hematopoietic stem cell niche function. Elife. 2014;3:1–28.

    Article  CAS  Google Scholar 

  44. Coste C, Neirinckx V, Sharma A, et al. Human bone marrow harbors cells with neural crest-associated characteristics like human adipose and dermis tissues. PLoS One. 2017:12:e0177962.

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  45. Osley MA. The regulation of histone synthesis in the cell cycle. Annu Rev Biochem. 1991;60:827–61.

    Article  CAS  PubMed  Google Scholar 

  46. Kiepe D, Andress DL, Mohan S, et al. Intact IGF-binding protein-4 and-5 and their respective fragments isolated from chronic renal failure serum differentially modulate IGF-I actions in cultured growth plate chondrocytes. J Am Soc Nephrol. 2001;12:2400–10.

    CAS  PubMed  Google Scholar 

  47. Clemmons DR, Busby WH, Garmong A, et al. Inhibition of insulin-like growth factor binding protein 5 proteolysis in articular cartilage and joint fluid results in enhanced concentrations of insulin-like growth factor 1 and is associated with improved osteoarthritis. Arthritis Rheum. 2002;46:694–703.

    Article  CAS  PubMed  Google Scholar 

  48. Sviderskaya EV, Easty DJ, Lawrence MA, et al. Functional neurons and melanocytes induced from immortal lines of postnatal neural crest-like stem cells. FASEB J • Res Commun. 2009;232:3179–92.

    Article  CAS  Google Scholar 

  49. Schwarz RI. Collagen I and the fibroblast: high protein expression requires a new paradigm of post-transcriptional, feedback regulation. Biochem Biophys Rep. 2015;3:38–44.

    PubMed  PubMed Central  Google Scholar 

  50. Pacifici M, Golden EB, Oshima O, et al. Hypertrophic chondrocytes the terminal stage of differentiation in chondrogenic cell lineage. Ann N Y Acad Sci. 1990;599:45–57.

    Article  CAS  PubMed  Google Scholar 

  51. Kronenberg HM. Developmental regulation of the growth plate. Nauture. 2003;423:332–6.

    Article  CAS  Google Scholar 

  52. Guilak F, Nims RJ, Dicks A, et al. Osteoarthritis as a disease of the cartilage pericellular matrix. Matrix Biol:71–2. Epub ahead of print 2018. https://doi.org/10.1016/j.matbio.2018.05.008.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  53. Morrison EH, Ferguson MWJ, Bayliss MT, et al. The development of articular cartilage: I. The spatial and temporal patterns of collagen types. J Anat. 1996;189:9–22.

    CAS  PubMed  PubMed Central  Google Scholar 

  54. Sherwin AF, Carter DH, Poole CA, et al. The distribution of type VI collagen in the developing tissues of the bovine femoral head. Histochem J. 1999;31:623–32.

    Article  CAS  PubMed  Google Scholar 

  55. Shields CW, Reyes CD, López GP. Microfluidic cell sorting: a review of the advances in the separation of cells from debulking to rare cell isolation. Lab Chip. 2015;15:1230–49.

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  56. Darling EM, Athanasiou KA. Rapid phenotypic changes in passaged articular chondrocyte subpopulations. J Orthop Res. 2005;23:425–32.

    Article  CAS  PubMed  Google Scholar 

  57. Khan IM, Bishop JC, Gilbert S, Archer CW. Clonal chondroprogenitors maintain telomerase activity and Sox9 expression during extended monolayer culture and retain chondrogenic potential. Osteoarthritis Cartilage. 2009;17:518–28.

    Article  CAS  PubMed  Google Scholar 

  58. Schulze-Tanzil G, de Souza P, Villegas Castrejon H, et al. Redifferentiation of dedifferentiated human chondrocytes in high-density cultures. Cell Tissue Res. 2002;308:371–9.

    Article  CAS  PubMed  Google Scholar 

  59. Ustunel I, Ozenci AM, Sahin Z, et al. The immunohistochemical localization of notch receptors and ligands in human articular cartilage, chondroprogenitor culture and ultrastructural characteristics of these progenitor cells. Acta Histochem. 2008;110:397–407.

    Article  PubMed  Google Scholar 

  60. Jiang Y, Cai Y, Zhang W, et al. Human cartilage-derived progenitor cells from committed chondrocytes for efficient cartilage repair and regeneration. Stem Cells Transl Med. 2016;5:733–44.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  61. Kaitainen S, Mähönen AJ, Lappalainen R, et al. TiO2 coating promotes human mesenchymal stem cell proliferation without the loss of their capacity for chondrogenic differentiation. Biofabrication. 5. Epub ahead of print June 2013. https://doi.org/10.1088/1758-5082/5/2/025009.

    Article  PubMed  CAS  Google Scholar 

  62. Chen Y, Cho MR, Mak AFT, et al. Morphology and adhesion of mesenchymal stem cells on PLLA, apatite and apatite/collagen surfaces. In: Journal of Materials Science: Materials in Medicine; 2008. p. 2563–7.

    Google Scholar 

  63. Coutu DL, Galipeau J. Roles of FGF signaling in stem cell self-renewal, senescence and aging. Aging (Albany NY). 2011;3:920–33.

    Article  CAS  Google Scholar 

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Acknowledgements

The authors would like to thank Christopher Sawyer from the Genome Technology Access Center (GTAC) and Erica Lantelme, Dorjan Brinja, and Ananya Mitra from the Flow Cytometry & Fluorescence-Activated Cell Sorting Core, Washington University, in St. Louis for their assistance.

Funding

This work was supported by the Nancy Taylor Foundation, Arthritis Foundation, NIH (AG46927, AG15768, AR67467, AR65956, AR075899, T32 DK108742, T32 EB018266), NSF EAGER Award, and Taiwan GSSA Scholarship.

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  1. Amanda Dicks and Chia-Lung Wu are co-first authors.

Authors and Affiliations

  1. Department of Orthopaedic Surgery, Washington University, St. Louis, MO, 63110, USA

    Amanda Dicks, Chia-Lung Wu, Nancy Steward & Farshid Guilak

  2. Shriners Hospitals for Children – St. Louis, St. Louis, MO, 63110, USA

    Amanda Dicks, Chia-Lung Wu, Nancy Steward & Farshid Guilak

  3. Department of Biomedical Engineering, Washington University, St. Louis, MO, 63110, USA

    Amanda Dicks & Farshid Guilak

  4. Center of Regenerative Medicine, Washington University, St. Louis, MO, 63110, USA

    Amanda Dicks, Chia-Lung Wu, Nancy Steward & Farshid Guilak

  5. Department of Cell Biology, Duke University Medical Center, Durham, NC, 27710, USA

    Shaunak S. Adkar

  6. Department of Biomedical Engineering, Duke University, Durham, NC, 27710, USA

    Charles A. Gersbach

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Contributions

AD, CLW, and FG conceptualized the study. SSA and CAG designed and made the COL2A1-GFP reporter hiPSC line. AD, CLW, and NS cultured, prepared, and labeled cells for scRNA-seq, FACS, expansion, and differentiation. CLW analyzed sc-RNAseq data. AD performed RT-qPCR and biochemical assays. NS performed IHC. AD and NS stained with safranin-O and imaged pellets. CAG and FG supervised and acquired funding. AD and CLW wrote the original draft and made the figures. All authors edited and approved the final manuscript.

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Correspondence to Farshid Guilak.

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Dr. Guilak is an employee of Cytex Therapeutics, Inc. The other authors declare that they have no competing interests.

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Supplementary information

Additional file 1: Figure S1.

related to Figure 2 and 3. GO enrichment analysis of unsorted and sorted cells. (A) Top 10 GO terms (biological process) that were associated with each population in unsorted cells. (B) CD47 was highly expressed in SOX2/TTR+ cells. (C) Top 10 GO terms (biological process) that were associated with each population in sorted cells. Figure S2. related to Figure 2 and 3. Overall gene expression of sorted and unsorted chondroprogenitors. RT-qPCR reveals differences between sorted and unsorted chondroprogenitor cells in overall expression of (A) neurogenic, (B) mesenchymal, and (C) chondrogenic genes. Gene expression in reference to undifferentiated hiPSCs with housekeeping gene TBP. * p < 0.05. *** p < 0.001. Data represented as mean ± SEM. n = 4 samples/group. Figure S3 related to Figure 2 and 3. Expression profiles of pro-chondrogenic genes in sorted and unsorted chondroprogenitor cells. scRNA-seq reveals that sorted and unsorted cells had distinct gene expression patterns of several markers that were proposed to be pro-chondrogenic identified by previous studies. Figure S4 related to Fig. 5. Histology for matrix proteins. Safranin-O staining for sGAG showing pellets derived from sorted chondroprogenitor cells had more robust staining and homogenous cell morphology compared to pellets derived from unsorted cells in two individual experimental replicates. Scale bar = 200 μm. Inset scale bar = 400 μm. Figure S5 related to Figure 5. IHC labeling for COL6A1. There was more distributed labeling for COL6A1 in unsorted chondroprogenitor pellets compared to the localization around cells in sorted chondroprogenitor pellets. Scale bar = 200 μm. Inset scale bar = 400 μm. Figure S6 related to Figure 6. Alternative analysis of gene expression. Expression of chondrogenic genes ACAN, SOX9, and COL2A1, fibrocartilage and bone matrix marker COL1A1, and hypertrophic cartilage marker COL10A1 was significantly increased with sorting. CT value of gene of interest was normalized to CT value of housekeeping gene TBP for each sample. ** p < 0.01. *** p < 0.001. **** p < 0.0001. Data represented as mean ± SEM. n = 6-7 per group: 2 experimental replicates, 3-4 technical replicates (pellets). Figure S7. Histology of pellets derived from in vitro expanded unsorted and sorted chondroprogenitors. Chondrogenic capacity was maintained after one passage of both unsorted and sorted chondroprogenitor cells as shown by staining for sGAG. There was more robust staining in pellets derived from sorted cells. Safranin-O staining for sGAG showed similar loss of chondrogenic capacity for both unsorted and sorted chondroprogenitor cells through four passages. Table S1. Antibodies used for flow cytometry and sorting. Table S2. Human primer sequences. Primers were used for RT-qPCR and are listed as 5’ to 3’.

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Dicks, A., Wu, CL., Steward, N. et al. Prospective isolation of chondroprogenitors from human iPSCs based on cell surface markers identified using a CRISPR-Cas9-generated reporter. Stem Cell Res Ther 11, 66 (2020). https://doi.org/10.1186/s13287-020-01597-8

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  • DOI: https://doi.org/10.1186/s13287-020-01597-8

Keywords

  • hiPSC
  • Chondroprogenitor
  • Chondrocyte
  • Cartilage
  • Surface markers
  • Differentiation
  • Single-cell RNA sequencing

Stem Cell Research & Therapy

ISSN: 1757-6512