Abstract
The isolation of chondrocytes from human articular cartilage for single-cell RNA sequencing requires extensive and prolonged tissue digestion at 37 C. Modulations of the transcriptional activity likely take place during this period such that the transcriptomes of isolated human chondrocytes no longer match their original status in vivo. Here, we optimized the human chondrocyte isolation procedure to maximally preserve the in vivo transcriptome. Cartilage tissues were transferred into a hypoxia chamber (4% O2) immediately after being removed from OA patients and minced finely. Collagenase II at concentrations of 0.02%, 0.1%, 0.25%, 0.5%, 1%, and 2% was applied for 0.5, 1, 2, 4, and 18 h to digest the minced tissue. Actinomycin D (ActD) was added to test its capacity in stabilizing the transcriptome. Cell yield, viability, cell size, and transcriptome were determined using counter chamber, flow cytometry, and RNA sequencing (RNA-seq). Collagenase II at 2% concentration released small chondrocytes from cartilage matrix during the first digestion hour and started to release large cells thereafter, reaching a complete release at 4 h. During 4-h digestions, collagenase II at 2% and 1% but not at lower concentrations yielded maximal release also of the large chondrocyte population. RNA-seq analysis revealed that a 4-h digestion period with 1% or 2% collagenase II plus Actinomycin D optimally preserved the transcriptome. Thus, this study provides an isolation protocol for single chondrocytes from human articular cartilage optimized for transcriptome preservation and RNA-seq analysis.
Keywords: chondrocyte isolation, human articular cartilage, small chondrocytes, large chondrocytes, transcriptome preservation, single-cell RNA sequencing
Introduction
Osteoarthritis (OA) is a chronic degenerative joint disease hallmarked by articular cartilage breakdown, which affects more than 300 million people worldwide (Safiri et al., 2020). Chondrocyte dysfunction is a key driver of OA pathology (Hwang and Kim, 2015). Hence, characterization and comparison of chondrocytes derived from healthy and diseased donors can provide insight into chondrocyte pathology. This may help to develop strategies to restore normal chondrocyte function. However, chondrocytes are sparsely distributed in human articular cartilage and surrounded by a dense network of extracellular matrix (ECM). The ECM is principally composed of collagen fibrils, proteoglycans, and other non-collagenous proteins and glycoproteins (Sophia Fox et al., 2009). Thus, isolating chondrocytes from human articular cartilage requires lengthy enzymatic digestion, which is usually performed at 37°C, because at 27 C it yielded a significantly lower number of chondrocytes (Hidvegi et al., 2006). Most of the digestion protocols apply a two-step digestion process involving various enzymes (Kuhne et al., 2009; Oseni et al., 2013). Pre-digestion using trypsin, dispase, pronase, or hyaluronidase serves to soften the hard cartilage tissue to allow better access of collagenase to the collagen fibrillar network. Then collagenase II digestion releases the embedded cells. Nevertheless, also one-step digestion with only collagenase II targeting the extensive collagen network, has been applied with no apparent disadvantage in the efficiency of obtaining live cells (Manning and Bonner, 1967; Barbero et al., 2004; Tew et al., 2008; Yonenaga et al., 2010). However, the concentrations and incubation times of collagenase II vary significantly between the protocols published, ranging from 0.05% to 2% (w/v concentration) at a duration range from 2 to 24 h (Barbero et al., 2004; Yonenaga et al., 2017). Despite variations in chondrocyte isolation protocols, the general yield of cells reproducibly remains at 2–4 million per gram articular cartilage tissue for individuals aged between 40 and 90°years (Barbero et al., 2004).
Lengthy tissue digestion at 37 C most likely alters the transcriptome of the cells (Westendorf et al., 2014), such that in the end, the transcriptomes of chondrocytes isolated ex vivo do not faithfully reflect the transcriptional status of the cells in vivo. This is particularly problematic for RNA-seq, especially single-cell RNA-seq analysis. To date, optimizations of chondrocyte isolation have focused on the maximization of cell yields and viability. A systematic study to optimize the isolation procedure towards best preservation of the in vivo transcriptomes is lacking. We conducted this study to optimize the isolation procedure to obtain chondrocytes for transcriptome-sensitive analyses, such as RNA-seq, especially single-cell RNA-seq analysis.
Materials and equipment
Materials
• 15 cm Petri dish (CELLSTAR; Cat #639160)
• scalpel (Braun; Cat #BA824SU)
• 50 ml Falcon tubes (SARSTEDT; Cat #62.559.001)
• 15 ml Falcon tubes (SARSTEDT; Cat #62.554.502)
• Micro tubes 1.5 ml (SARSTEDT; Cat #72.706.400)
Reagents
• DPBS (Gibco; Cat #14190-144)
• DMEM/F-12 medium (Gibco; Cat #330-038)
• Collagenase II (Biochrom, Cat#C2-22; Gibco, Cat #17101-015; StemCell™; Cat #07418; Sigma; Cat #Cas9001-12-0)
• Actinomycin D (Merck; Cat A1410)
• Propidium iodide (PI)/Annexin V staining kit (Thermo Fisher; Cat #A35110);
• QIAzol Lysis Reagent (Qiagen; Cat #79306)
• RNeasy Mini Kit (Qiagen; Cat 217004)
Equipment
• Miltenyi Biotec MACSmix Tube Rotator (Cat #130-090-753)
• Hypoxia hood and incubator (BioSpherix, X3 Xvivo System)
• FACSCanto II (Becton Dickinson)
• Centrifuge (Thermo Scientific)
Methods
Chondrocyte isolation
Full-thickness cartilage was surgically removed from the femoral condyles of osteoarthritic patients (25 patients; mean age 67.4 years; female:male ratio = 4:1) who underwent total knee arthroplasty performed at the Center for Musculoskeletal Surgery of Charité—Universitätsmedizin Berlin. Cartilage tissues were transferred into a hypoxia chamber (4% O2) and minced finely for chondrocyte isolation. For enzymatic digestion, minced cartilage was incubated in 10 ml collagenase II solution at concentrations of 0.02%, 0.1%, 0.25%, 0.5%, 1%, or 2% for 0.5, 1, 2, 4, or 18 h, with or without Actinomycin D (ActD, 2 μg/ml) at 37 °C and continuous rotating at 20 rpm. Subsequently, the digestion solution was filtered through 70 μm cell strainer and cells were washed. Cell yields were determined using cell counter chamber; cell viability and size were detected by flow cytometry (Propidium iodide (PI) or Zombie dye staining). Cell transcriptomes were determined by RNA-seq.
Flow cytometry analysis
Chondrocyte were stained with PI and/or Annexin V and then acquired on a FACSCanto II (Becton Dickinson). Data were analyzed with Flow Jo (version 10.6.2).
RNA isolation and RNA-seq
Fresh cartilage tissue was minced finely in a hypoxia chamber, transferred into a plastic bag, and snap frozen in liquid nitrogen. Cartilage pieces were further pulverized before being transferred into Trizol buffer and blended using Ultra Turrax (IKA T10 basic). Chondrocytes collected by using various digestion protocols were also lysed in Trizol buffer. Total RNA was then extracted using the RNeasy Mini Kit (Qiagen; 217,004). RNA integrity was assessed using a Fragment analyzer (Agilent), and cDNA libraries were generated for samples with high RNA integrity (RQN >8), using the Smart-Seq v4 mRNA Ultra Low Input RNA Kit (Takara Bio) with up to 10 ng of RNA according to manufacturer’s instructions. Paired-end sequencing (2 × 75 bp) of cDNA libraries was performed on an Illumina NextSeq500 device. Obtained reads were mapped to the hg19 genome (annotation releases: GRCh37. p13) using Tophat261 and Bowtie262 with very-sensitive settings. Read counts were determined with featureCounts63. Further analysis was performed using R (4.0.3).
Statistical analysis
Statistical analysis was performed using GraphPad Prism (v5.02 and v7) software. Statistical significance was determined by paired or unpaired two-tailed t-test for two-group comparison and One-way ANOVA for multiple comparison.
Results
Collagenase II from four suppliers performed similarly well with only slight differences in isolating viable chondrocytes from human articular cartilage
Collagenase II from Clostridium histolyticum is widely used for the disaggregation of cartilage and is provided by various suppliers (Xia et al., 2013). We first tested collagenase II from four different suppliers by incubating them individually at a concentration of 0.1% with an equal amount of minced cartilage tissue of the same patients. After an 18-h digestion when no visible cartilage pieces remained, we filtered the solution and determined the total cell number and cell viability. Collagenase II from supplier 1, 2, and 4 was found to be similar and slightly better than that from supplier three in obtaining viable chondrocytes (Figures 1A,B). Thereafter, collagenase II of supplier one from the same lot was stored and used throughout the study.
Enzymatic digestion of cartilage yields increasing cell numbers with extended digestion time for up to 4 h
Modulations of the transcriptional activity likely take place during extended digestion periods at 37 C. In order to obtain chondrocytes in the shortest possible digestion time, we increased the concentration of collagenase II to 2% and started to harvest cells after incubation for 0.5, 1, 2, and 4 h. These digestion protocols are designated in short: 2%-0.5h, 2%-1h, 2%-2h, and 2%-4 h. The digestion with 0.1% collagenase II for 18 h (0.1%-18 h) always leads to a complete digestion and is also the most often used digestion protocol in the field. Thus it was used as a reference. Total cell number and cell viability were determined at the end of each incubation period (Figures 2A,B). Of note, complete digestion of the minced tissue was achieved only by the protocols 0.1%-18 h and 2%-4h, which was reflected in comparable and peak cell recovery rates.
Chondrocyte transcriptomes from 2- and 4-h cartilage digests most closely resemble those obtained directly ex vivo
We next performed transcriptome analysis of chondrocytes that were obtained by using the digestion protocols of 2%-0.5 h, 2%-1 h, 2%-2 h, 2%-4 h, and 0.1%-18 h. RNA isolated directly from cartilage tissue (ex vivo) of the same patient was used as reference. The gene expression principal component analysis (PCA) plot distinguished the cell transcriptomes according to their digestion protocol (Figure 3A): The 0.1%-18 h digestion resulted in a transcriptome that was most distinct from the transcriptome ex vivo, as compared to the digestions with reduced incubation time. Thus, shortening the digestion period reduced the transcriptional difference as compared to the ex vivo reference. However, it was not simply the shorter, the better, because the 2- and 4-h digestions displayed a closer distance to the ex vivo sample than the 0.5- and 1-h digestions when collagenase II was used at a concentration of 2%. To some extent, the transcriptome profiles of the isolated chondrocytes were still different from the ex vivo situation. Therefore, we looked at the expression of 13 chondrocyte hallmark genes, including COL1A1, COL1A2, COL2A1, COL6A1, COL6A2, COL10A1, ACAN, PRG4, COMP, MGP, FN1, SOX9, and PPARD in the conditions of ex vivo, 2- and 4-h digestions (Figure 3B). We found a similar expression level of the chondrocyte hallmark genes in all three conditions, indicating that the chondrocyte identity seems to be nicely preserved during the 2-h or 4-h isolation period.
Large chondrocytes require prolonged digestion time for full release from cartilage matrix
By using flow cytometry to detect cell viability, we observed a population with larger forward scatter area (FSC-A) indicating large cell size that became more numerous with increasing incubation time (Figure 4A). Notably, the percentage of large cells yielded by the 2%-4 h protocol was around 30%, which is similar to the percentage of large cells obtained by the 0.1%-18 h protocol but substantially higher than the number achieved with the 2%-0.5 h, 2%-1 h, and 2%-2 h protocols (Figure 4B).
Large chondrocytes do not arise from the small cells during the isolation procedure
Next, we determine if the large cells arose from the small cells during the digestion period or if they existed already in the original cartilage tissue but required prolonged incubation time to get released. To this end, we digested the minced cartilage tissue with 2% collagenase II for 0.5 h and separated the cells and remaining cartilage pieces with a cell filter. After replenishing the samples with the same digestion buffer, the cell sizes were determined after a total incubation time of 1, 2, and 4 h. We observed that cells harvested at 0.5 h did not become larger, while the separated cartilage pieces released successively more large cells during the following 3.5 h incubation time (Figure 5). Thus large chondrocytes needed a longer digestion period to get released from cartilage tissue, compared to the small ones.
Notably, the sample from 2-h digestion exhibited a similar distance to the ex vivo sample as the 4-h digestion sample. However, given the trend towards a higher proportion of large cells (cf. Figure 4B) and a higher yield in the total number of live cells (cf. Figure 2A), we considered the 4-h digestion the best protocol among the tested conditions, in terms of transcriptome preservation and cell recovery.
Down-titration of collagenase II yields optimized chondrocyte recovery including large cells at high viability
High concentrations of collagenase II can lead to increased apoptosis incidence (Yonenaga et al., 2017). To determine whether chondrocytes tolerate a concentration of collagenase II of 2%, we titrated collagenase II from 0.02% to 2% at a fixed digestion period of 4 h. The percentages of large cells increased gradually with increasing concentrations of collagenase II and reached similar maximal values at 1% and 2% (Figure 6A). This was also the case for the total numbers of recovered live cells (Figure 6B). With regard to apoptosis, including both early and late apoptosis, no significant difference was detected among all the tested conditions, although the 2% concentration was associated with a moderate trend to higher incidences of late apoptosis. However, the percentages of necrotic cells increased gradually with increasing concentrations of collagenase II, and especially the collagenase II concentration of 2% induced a significantly higher frequency of necrosis than the 1% concentration. Nevertheless, the increased but generally still low proportions of necrotic cells had no strong impact on the frequency of live cells, as there was no significant difference in the percentage of live cells among all the tested conditions (Figure 6C). In summary, the digestion protocol of 1%-4 h appeared slightly better than the 2%-4 h condition, as it induced less necrosis and was superior to lower concentrations of collagenase II in releasing large chondrocytes from cartilage tissue.
Cartilage digestion with 1% or 2% collagenase II for 4 h plus ActD yields a chondrocyte population with highest transcriptome preservation
Next, we performed RNA-seq analysis to determine whether the 1%-4 h digestion protocol can also optimally preserve the transcriptome. Again, we used ex vivo RNA of the same patients as positive reference and RNA isolated according to the 0.1%-18 h protocol as negative reference. Actinomycin D (ActD) blocks de novo synthesis of RNA transcripts and hence is reported to contribute to the preservation of the RNA transcriptome (Westendorf et al., 2014; Sunkara et al., 2021). Therefore, we added ActD in the following three digestion approaches: 1%-4h, 2%-4h, and 0.1%-18 h. Thus, in total, RNA obtained via five protocols was sequenced from each patient: ex vivo and 0.1%-18 h without ActD, and 0.1%-18h, 1%-4h, and 2%-4 h each with ActD (Figure 7A). The resulting PCA plot based on global gene expression profiles placed the samples of the protocol 0.1%-18 h without ActD furthest away from the ex vivo reference samples and also in large distance from the samples obtained via the protocol 0.1%-18 h with ActD, demonstrating that ActD indeed contributed to the stabilization of the RNA transcriptome in chondrocytes during the 18 h digestion period. In the presence of ActD, the distance from the samples of the 1%-4 h or 2%-4 h protocols to the respective ex vivo samples was significantly smaller than the distance between the 0.1%-18 h and the ex vivo samples. However, the samples obtained via the 1%-4h and 2%-4 h protocols largely overlapped and had a similar distance to the respective ex vivo samples (Figure 7B). Still, the transcriptome profiles of the isolated chondrocytes were somewhat different from the ex vivo situation. Hence, we again compared the expression of 13 chondrocyte hallmark genes in the ex vivo samples to the samples obtained after 1%-4 h digestion and 2%-4 h digestion. We did not find a significant difference in the expression of any of these genes, which argues in favor of the maintenance of the chondrocyte characteristics during the isolation procedure (Figure 7C). In conclusion, the 1%-4 h digestion protocol preserved the chondrocyte transcriptome similarly well as the 2%-4 h digestion approach, and these two protocols were significantly better than the 0.1%-18 h digestion condition. Thus, to isolate chondrocytes from human articular cartilage for assays that require optimal maintenance of the in vivo transcriptome, a 4-h digestion with 1% or 2% collagenase II plus addition of ActD is recommended.
Discussion
Numerous protocols for chondrocyte isolation have been described, but almost all of them are aimed at yielding the highest cell recovery and viability, and none of them has been optimized in a systematic way to preserve the chondrocyte transcriptome to the best possible extent. To address this need, we systematically tested various digestion protocols, analyzed the cell size of the isolated chondrocytes, and compared the transcriptome of these cells to the transcriptome obtained from chondrocytes ex vivo. We observed that large cells need prolonged digestion time to be released from cartilage tissue, which we found critical for the bulk transcriptome to be representative. Taken together, a 4-h digestion with 1% or 2% collagenase II in the presence of ActD appears to be the optimal protocol to preserve the transcriptome integrity and complexity of chondrocytes isolated from human articular cartilage.
Articular cartilage from adult human knee-joints can be subdivided into a superficial/tangential zone, a middle/transitional zone, and a deep/radial zone. While the cell volume tends to be similar within each individual zone, its mean is reported to increase from about 1,237 μm3 in the superficial zone to 2086 μm3 in the transitional zone, and to 2,866 μm3 in the deep zone (Hunziker et al., 2002). Correspondingly, the mean cell surface area has been calculated to increase from about 672 μm2 in the superficial zone to 881 μm2 in the transitional zone, and to 1,203 μm2 in the deep zone (Hunziker et al., 2002). These features are likely the reason why the large cells embedded in the deep zone, which have an almost two fold larger cell surface area than the small cells in the superficial zone, need longer digestion time to get enzymatically released from their surrounding extracellular matrix. The number of cells, per unit tissue volume, that have a surface area ranging from 600–800 μm2, is about 40,838 (=24,018 + 8,879+7,941), and with a surface area larger than 800 μm2 it is 24,430 (=10,262 + 7,302+6,866), accounting for around 37% of the total cells in articular cartilage (Hunziker et al., 2002). This number is largely consistent with our flow-cytometry data, and it is in line with a substantial contribution of the large chondrocytes to the transcriptome of the total chondrocyte population in articular cartilage.
To understand the complexity of chondrocyte subpopulations and their gene expression activity, it appears relevant to include the large cells into the RNA-seq analysis. These large cells are embedded preferentially in the deep zone, which predominantly is the remaining zone in articular cartilage from most of the OA patients. Optimal inclusion of large cells into single-cell RNA-seq measurements may increase the resolution of the analysis and hence may allow for the identification of novel subpopulations. Of note, in this study, the chondrocytes were isolated from articular cartilage from OA patients, where a catabolic environment can be assumed. Hence, cartilage from healthy individuals free of OA might need more digestion time or higher concentrations of collagenase II to achieve complete release of all chondrocytes. In addition, cartilage isolated from OA patients with different levels of severity might benefit from individualized conditions to yield an optimal cell release. However, in all cases the mechanical mincing process of the cartilage tissue generates small tissue pieces of macroscopically similar size, which then get exposed to the enzymatic digestion.
The RNA-seq data depicted in Figure 3 suggests that PC1 is largely composed of genes whose expression is influenced by increasing digestion time, while PC2 may rather be comprised of genes expressed by large cells. In the second round of RNA-seq data (cf. Figure 7), PC1 appears to arise mainly from genes whose transcription is affected by ActD, and PC2 may rather be generated from gene expression that is affected by the duration of digestion. During a prolonged digestion period, such as 18 h, the usage of ActD to block de novo synthesis of RNA transcripts indeed contributed to the preservation of the RNA transcriptome and reduced the deviation from the ex vivo situation. However, the necessity of ActD for shorter digestion periods, such as 4 h, was not tested in our current study. Nevertheless, in future studies additional measures to prevent RNA decay might be considered to optimize even further the maintenance of the ex vivo transcriptome. It is worth mentioning that RNA isolated directly from cartilage tissue (ex vivo) may include the RNA from other cell types residing in the cartilage tissue such as mesenchymal stem cells. Single-cell RNAseq analyses, which may use the improved chondrocyte isolation protocol established in this study, provide the opportunity to distinguish the gene expression of mesenchymal stem cells from the expression profile of chondrocytes.
Acknowledgments
We thank Sebastian Serve, Georgia Katsoula, Peter Kreitmaier, Maria Dzamukova, Tobias M. Brunner, Nayar Durán-Hernández, Dominik Niesen, Adrian Madrigal, Philippe Saikali, Daniel Schulz, Anna Rapp, Valerie Plajer, Xiaohui Liu, and Yujie Dai for scientific discussions and valuable input, and Jan Phillip Weber for graphic processing.
Data availability statement
The raw data in this article has been deposited in the Gene Expression Omnibus under accession code GSE217871. To review GEO accession GSE217871: Go to https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE217871.
Ethics statement
The studies involving human participants were reviewed and approved by EA1/032/16; Ethics Committee of Charité—Universitätsmedizin Berlin. The patients/participants provided their written informed consent to participate in this study.
Author contributions
PS, M-FM, and ML designed the research. PS and PW performed the experiments and analyzed the data. GH, FH, and PD conducted the RNA-sequencing and the corresponding computational data analysis. TM, M-JR, CG, TW, MP, and CP coordinated patient sample collection. PS and ML wrote the paper.
Funding
This work was supported by the Willy Robert Pitzer Foundation (Pitzer Laboratory of Osteoarthritis Research), the Rolf M. Schwiete Foundation (Osteoarthritis Research Program), the Einstein Center for Regenerative Therapies (EZ-2016-289), the German Research Foundation (DFG; SFB650, grant TP28, and grants LO 1542/4-1 and LO 1542/5-1), the German Federal Ministry of Education and Research (BMBF; grant 01KC 2011C), the National Natural Science Foundation of China (81671619), the European Regional Development Fund (ERDF 2014–2020, EFRE 1.8/11), and the state of Berlin.
Conflict of interest
The authors declare that research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.
Publisher’s note
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Associated Data
This section collects any data citations, data availability statements, or supplementary materials included in this article.
Data Availability Statement
The raw data in this article has been deposited in the Gene Expression Omnibus under accession code GSE217871. To review GEO accession GSE217871: Go to https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE217871.