Abstract
Experimental cell therapies for skeletal muscle conditions have shown little success, primarily because they use committed myogenic progenitors rather than true muscle stem cells, known as satellite cells. Here we present a method to generate in vitro-derived satellite cells (idSCs) from skeletal muscle tissue. When transplanted in small numbers into mouse muscle, mouse idSCs fuse into myofibers, repopulate the satellite cell niche, self-renew, support multiple rounds of muscle regeneration and improve force production on par with freshly isolated satellite cells in damaged skeletal muscle. We compared the epigenomic and transcriptional signatures between idSCs, myoblasts and satellite cells and used these signatures to identify core signaling pathways and genes that confer idSC functionality. Finally, from human muscle biopsies, we successfully generated satellite cell-like cells in vitro. After further development, idSCs may provide a scalable source of cells for the treatment of genetic muscle disorders, trauma-induced muscle damage and age-related muscle weakness.
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Main
Satellite cells, the canonical muscle stem cells, are responsible for postnatal muscle growth and regeneration. They exist in a quiescent state, located in a niche between the basal lamina and muscle sarcolemma1,2,3,4,5. During muscle regeneration, these cells activate, divide asymmetrically to self-renew or form a proliferative population of committed progenitors called myoblasts. These myoblasts differentiate and fuse to form myotubes, the functional component of skeletal muscle6,7,8. Without satellite cells, skeletal muscle regeneration is completely abolished2,9,10. After muscle development or regeneration, some satellite cells return to quiescence and repopulate the niche in preparation for future rounds of regeneration8.
Many have hypothesized that transplanted satellite cells could treat muscle diseases and traumatic muscle injuries8,11. However, satellite cells are rare in skeletal muscle, so large quantities cannot be obtained from postnatal muscle tissue. Furthermore, although several decades of research have provided a deep understanding of the functional properties of satellite cells, it is not known yet how to effectively increase their numbers in culture while maintaining their stem cell characteristics, particularly preserving their ability to repopulate the niche12,13. In conventional tissue culture conditions, satellite cells enter the cell cycle and become myoblasts8. However, satellite cells and myoblasts have key differences. Although both can produce muscle fibers, after transplant, satellite cells are up to 1,000 times more efficient at this process7,12,14. Only satellite cells can repopulate the stem cell niche, self-renew and sustain muscle regeneration over the lifetime of an organism6,7,12,14. These critical differences between satellite cells and myoblasts underscore the need to generate therapeutically relevant quantities of satellite cells in vitro.
Culturing cells in three dimensions can recreate stem cell niche conditions for several tissues, enabling adult stem cell expansion while retaining their capacity to differentiate and mature15,16,17,18. Evidence shows that adult progenitor cells in the tooth, liver, gut and pancreas dedifferentiate into a stem cell-like state in vivo and, in some cases, in three-dimensional (3D) cultures19,20,21. We studied the effect of 3D culture on proliferating adult myoblasts. Myoblasts can generate skeletal muscle organoids (SkMOs) containing cells resembling satellite cells, termed in vitro-derived satellite cells (idSCs). Upon transplantation into damaged or diseased muscle, idSCs regenerate muscle similarly to satellite cells. Although idSCs share key pathways known to regulate quiescence and myogenic commitment, they are transcriptionally and epiginomically distinct, raising several interesting questions regarding the relationship between in vitro and in vivo cellular identities.
Results
SkMOs contain satellite-like cells
Satellite cells express Pax7, an essential transcription factor (TF) for satellite cell maintenance and commitment2,22. During skeletal muscle regeneration, myoblasts maintain Pax7 expression but activate MyoD, a TF involved in myogenic commitment and differentiation23,24. MyoD expression, coupled with the downregulation of Pax7, commits cells to differentiation, resulting in the loss of stem cell potential12. To investigate whether myoblasts (Pax7+MyoD+) can reduce the expression of MyoD and dedifferentiate back to a satellite cell-like state (Pax7+MyoD−), we seeded myoblasts into spinner flasks in proliferation medium17, where they self-assembled in three dimensions into SkMOs25. After 20 d, we reduced the serum concentration and allowed the cells to differentiate. After an additional 10 d, the SkMOs were predominantly composed of cells that expressed myosin heavy chain (MyHC), a marker for terminally differentiated myotubes26, and cells that expressed Pax7, many of which were present near myotubes (Fig. 1a,b). Although MyoD was expressed in the vast majority (98% ± 0.70%) of the Pax7+ myoblasts used to generate SkMOs, it was expressed in only a small percentage (9% ± 4.28%) of the Pax7+ cells present in late-stage SkMOs (Fig. 1c,d).
To validate our findings, we used a transgenic Pax7nGFP reporter mouse strain (Tg:Pax7nGFP)27 to FACS purify satellite cells (>95% GFP+) and derive, in standard two-dimensional (2D) growth conditions, several primary myoblast lines subsequently used to generate SkMOs (Supplementary Fig. 1a,b). After 30 d of organoid culture, GFP+ cells accounted for 18% ± 2% of the mononuclear cells within each organoid (Supplementary Fig. 1c). This provided approximately 3 ± 1.5 million GFP+ cells per spinner flask (Supplementary Fig. 1d). Finally, we compared the presence of canonical myogenic cell surface markers among myoblasts, SkMO GFP+ cells and freshly isolated satellite cells (Supplementary Fig. 1e) and found that SkMO GFP+ cells closely resembled the profile of satellite cells (Cxcr4+, CD104− and CD200+)28.
In intact muscle, satellite cells are normally quiescent. Although the parental myoblasts used to form SkMOs incorporated the nucleoside analogue 5-ethynyl-2′-deoxyuridine (EdU) (93% ± 4.20% EdU+), indicative of cycling cells, very few Pax7+ cells (3% ± 1.5% EdU+) present in late-stage SkMOs were EdU+ (Fig. 1e,f). Additionally, a quiescent satellite cell can be distinguished from an activated satellite cell by cell size alone29,30. Consistent with those findings, FACS-sorted late-stage SkMO-derived GFP+ cells were significantly smaller (9.15 ± 0.17 µm in diameter) than FACS-sorted GFP+ myoblasts (15.39 ± 0.68 µm), more closely resembling freshly isolated GFP+ primary satellite cells (6.76 ± 0.05 µm) (Fig. 1g,h). To further confirm that SkMO GFP+ cells have acquired properties of satellite cells, we set up a clonal growth assay modified from those used frequently to ascertain stem cell function in the neural and hematopoietic fields31,32,33,34. Using FACS to sort one GFP+ cell per well of a 96-well spheroid plate, we quantified the ability of freshly isolated Pax7nGFP satellite cells, myoblasts (derived from the satellite cells in two dimensions) and SkMO-derived GFP+ cells to form colonies in suspension (Supplementary Fig. 2a). After the confirmation that a single cell resided per well after 24 h in culture (Supplementary Fig. 2b), we found that freshly isolated satellite cells and SkMO-derived GFP+ cells, but not myoblasts, could form distinct clones (≥3 cells in a colony) (Supplementary Fig. 2c,d). Quantification of the approximate number of cells per clone revealed that satellite cells and SkMO-derived GFP+ cells gave rise to an average of 12.5 ± 0.9 cells per well and 6.9 ± 1.5 cells per well, respectively, whereas myoblasts rarely proliferated under these conditions (1.18 ± 0.16 cells per well) (Supplementary Fig. 2d). The regenerative properties of SkMO GFP+ cells were further illustrated by their ability to expand the number of SkMOs when passaged in spin culture (Supplementary Fig. 2e). Finally, we found that purified SkMO-derived GFP+ cells, as would be expected, retained their capacity to give rise to proliferative myoblasts capable of fusing to form multinucleated myotubes when cultured under standard differentiation conditions in vitro (Supplementary Fig. 2f).
Thus, using multiple criteria, including loss of MyoD expression, quiescence, cell size and clonal growth, combined with the ability to form differentiated muscle, it appears as if a population of cells resembling satellite cells arises when myoblasts are cultured in organoid-like conditions. For the remainder of this manuscript, we refer to SkMO-derived GFP+ cells as idSCs.
Satellite cells and idSCs share transcriptional similarities
To study transcriptional changes that define idSCs as they arise in myoblast-seeded organoids, we conducted multiplexed RNA sequencing (RNA-seq) analyses (3′ DGE) of freshly isolated satellite cells, myoblasts and idSCs, all derived from the Tg:Pax7nGFP mouse. We further obtained Pax7+ reserve cells, which are present in small numbers after traditional 2D differentiation in vitro of Tg:Pax7nGFP myoblasts into myotubes, as they represent the closest in vitro analogue to satellite cells35,36 (Supplementary Fig. 3a). A focused analysis of genes known to be involved in satellite cell maintenance/activation11 clustered idSCs with endogenous satellite cells while clearly distinguishing them from both myoblasts and reserve cells (Fig. 2a). Among the genes separating idSCs and satellite cells from myoblasts were genes associated with the Notch signaling pathway (Notch3, HeyL and Jag1), early activation/stress response (Fos, Egr1 and Socs3), quiescence (Spry1, Gas1 and Timp3), cell surface (Cdh15, Cxcr4 and Fgfr4), extracellular matrix (ECM) (Dcn, Dag1 and Col15a1) and secreted growth factors (Igf1, Bmp4 and Wnt4). Quantitative polymerase chain reaction (qPCR) measurements and transcripts per million (TPM) analysis from our bulk RNA-seq dataset confirmed many of these findings (Supplementary Fig. 3b,c).
We then filtered this RNA-seq dataset based on differentially expressed genes (false discovery rate (FDR) < 0.1) between myoblasts and satellite cells (Supplementary Table 1), myoblasts and idSCs (Supplementary Table 2) or idSCs and satellite cells (Supplementary Table 3). Next, we conducted unbiased hierarchical clustering to analyze genes within a given clade according to KEGG pathway and curated gene groups. idSCs and satellite cells shared transcriptional patterns observed in clades (7, 4, 1, 3, 9, 8) broadly associated with a reduction in transcription, translation, cell cycle progression and metabolism, along with increases in quiescence, stress response and HDAC activity (Supplementary Fig. 3d and Supplementary Table 4). idSCs and myoblasts differed from satellite cells in clades (10, 11, 12, 13), which represent KEGG pathways involved in oxidative phosphorylation, proteosome activation and carbon metabolism, suggesting that idSCs have a shared, yet distinct, transcriptional profile with respect to myoblasts and satellite cells.
We next conducted differential gene expression analysis (FDR < 0.1) comparing satellite cells, idSCs and myoblasts to further characterize changes that occur at the transcriptional level. We identified 1,347 differentially expressed genes between idSCs and myoblasts, 1,272 genes differentially expressed between satellite cells and myoblasts and only 774 genes differentially expressed between idSCs and satellite cells (Fig. 2b). Volcano plots depicting differentially expressed genes among idSCs, satellite cells and myoblasts confirmed these findings and further demonstrated conserved trends in gene expression between satellite cells and idSCs (Fig. 2c). Functional enrichment analysis identified KEGG pathways for focal adhesion, ECM–receptor interactions, proteoglycans in cancer and the Notch signaling pathway as being conserved and upregulated in idSC and satellite cell samples relative to myoblasts (Fig. 2d). Conversely, myoblasts and idSCs are more similar with respect to their increased activation of KEGG pathways broadly involved in cell cycle and a variety of metabolic pathways (glycolysis, OxPhos, carbon and tricarboxylic acid (TCA) cycle) when compared to satellite cells (Fig. 2d). These data suggest that idSCs are intermediate with respect to their transcriptional profile when compared to both myoblasts and satellite cells.
Epigenomic changes regulate/underlie idSC formation
The organization of the epigenome with respect to chromatin structure is a major regulator of stem cell identity37,38. We reasoned that a temporal analysis of chromatin dynamics would provide insight into the process by which idSCs are generated when myoblasts are grown in an organoid format. We conducted Omni-ATAC-seq39 to measure changes in the epigenome during the generation of idSCs within SkMOs at early (day 10), mid (day 20) and late (day 30) timepoints (Supplementary Fig. 4a). An initial correlation heatmap distinguished early-stage, mid-stage and late-stage idSC samples from satellite cells and from their parental myoblast lines (Supplementary Fig. 4b). We observed dynamic patterns of change in chromatin accessibility among proliferative myoblasts, idSCs present in SkMOs at the three different timepoints and freshly isolated satellite cells. These regions (or peaks) existed across the spectrum of open and closed chromatin, and we identified approximately 40,000 myogenic responsive chromatin regions (adjusted P < 0.0001, Wald test)40 that differed after pairwise comparison among the five cellular states. Unbiased hierarchical clustering identified five clades (1.1, 1.2, 2.1, 2.2 and 3) that distinguished the myogenic responsive chromatin regions. Association of chromatin peaks present in each clade to candidate gene and Gene Ontology (GO) terms was conducted using the Genomic Regions Enrichment of Annotations Tool (GREAT)41. Clades 1.1 and 1.2 included peaks that were primarily open in myoblasts (myoblast state) and closed in satellite cells and in idSCs starting at day 10 onward (Fig. 3a, dashed box). Peaks found in these clades were enriched for GO Biological Processes (GO BPs) involved in striated muscle development (Actin, Atg5/7, Lmod3, MyoG, Prox1 and Pitx2), contraction (α and β adrenergic receptors, Calm1, Prok2, Ttn and Na/K channel genes), myotube differentiation (MyoD, MyoG, Myocd, Cyp26b1 and Cxcl12) and histone citrullination (Padi gene family) (Fig. 3a,b and Supplementary Table 5). Clade 2.1 is shared between myoblast and mid- to late-stage idSC samples (transition state) and includes GO BPs involved in vascular development (Tcf4, Dcn, Fgf1, Ets1 and Btg1) and cytokine production (Runx1, Fn1, Pik3r1, Thbs1, Csf1r, Trib2, Foxp1, Smad7 and Smad3). Clade 2.2, which is unique to mid-stage and late-stage idSC samples, represents GO BPs involved in actin cytoskeleton organization (Nrp1, Actn1, Foxp1 and Tpm1) and ECM organization (Col5a1, Dpt, Grem1 and Has1). Finally, clade 3, which was predominantly open in satellite cells (satellite cell state) and closed in other samples, is associated with genes involved in regulation of carbohydrate metabolism (Foxo1, Irs2, Prkce and Rora), cellular response to insulin stimulus (Errfi1, Foxo1, Pik3r1 and Zfp36l1) and negative regulation of cell cycle phase transition (Zfp36l1, Zfp36l2, Foxn3 and Cradd) (Fig. 3a,b and Supplementary Table 5). We observed a progressive closure of chromatin accessibility for myoblast state peaks in a temporal fashion across idSC timepoints (early, mid and late stage), ultimately resulting in closed chromatin in satellite cells (Fig. 3a, dashed box). Unbiased pathway analysis involving differential binding (DiffBind) comparisons among myoblasts, day 30 idSCs and satellite cells identified candidate signaling pathways for genes found in open chromatin unique to satellite cells (VEGF signaling, vascular smooth muscle contraction and Tgfβ signaling), shared between myoblasts and day 30 idSCs (Jak/Stat, insulin and mTOR signaling pathways) and candidate pathways shared by both day 30 idSCs and satellite cells (regulation of actin cytoskeleton, MAPK signaling, leukocyte trans-endothelial migration and focal adhesion) (Supplementary Fig. 4c). These broad genome-wide changes suggest that idSCs transition over time to silence the myoblast epigenomic state, in line with satellite cells, yet maintain a unique chromatin profile linked to ECM and actin remodeling.
To further study whether epigenetic similarities exist between idSCs and satellite cells, we next conducted a pairwise comparison to identify peaks that are open in both late-stage idSCs and satellite cells and closed in myoblasts (Fig. 3c). GREAT analysis of this refined list of peaks identified GO Cellular Components involved in ECM and cytoskeletal signaling (Dcn, Tgfbr3, Dag1 and Timp3)42,43 and collagen deposition, most prominently collagen V trimers (Col5a1, a2, a3, Col6a1 and Col6a2), known to promote satellite cell function44, along with other collagens present in the satellite cell niche (Col15a1 and Col27a1)43,45 (Fig. 3d). Further examination of candidate genes known to regulate satellite cell fate identified chromatin closure at the MyoD and MyoG loci (Supplementary Fig. 4d) conserved between late-stage idSCs and satellite cells8. Conversely, we observed open chromatin surrounding Notch pathway members, as well as TFs associated with the satellite cell state, in idSC timepoints and satellite cells (Supplementary Fig. 4d). These data highlight the involvement of key ECM molecules, found in the satellite cell niche, as well as Notch signaling, in orchestrating the process by which idSCs arise when myoblasts are cultured in organoid format.
In accordance with other cell types undergoing dedifferentiation, initial transcriptional and epigenomic downregulation of the myogenic program might be expected to occur early in the process, followed by activation of genes highly expressed in satellite cells. We examined whether specific TF binding motifs differed between each distinct cellular state, therefore allowing us to predict TF regulatory networks that characterize the transition from myoblast to idSC. We used chromVAR to calculate a genome-wide chromatin variability score and found that the most dynamically regulated TF binding sites across all samples were predominantly members of the basic leucine zipper (bZip) or basic helix-loop-helix (bHLH) TF families (Supplementary Fig. 4e). These dynamic binding sites include the canonical myogenic bHLH TFs (MyoD, Myf5, Myog and Myf6), along with bZIP TFs, including several members of the activator protein (AP-1) complex. Given that TF binding sites present in open chromatin suggest active transcriptional regulation by the cognate TF, we conducted transcription factor occupancy prediction by investigation of ATAC-seq signal (TOBIAS)46 to establish whether a given TF is bound at a specific site. As MyoD is a master TF that regulates myogenic identity, we analyzed myoblast-specific peaks that contained consensus MyoD binding sites that were bound (footprint) using TOBIAS, and then we associated these bound peaks with their nearest gene using GREAT and identified GO BP terms enriched for skeletal muscle fusion/contraction (Fig. 3e). We subsequently asked whether these peaks remain bound in satellite cells and in idSCs. We observed a notable temporal reduction in TF occupancy on MyoD sites normally bound in myoblasts, such that late-stage idSCs and satellite cells were essentially unbound (Fig. 3f), further supporting our findings that idSCs have reduced expression of MyoD protein and RNA (Figs. 1c,d and 2a,c).
These data underscore the closure of chromatin regulating the broad myogenic program, with specific evidence demonstrating that bound MyoD consensus sites are remodeled into closed chromatin during the appearance of idSCs in organoids, making them more similar to what is observed in satellite cells. For these reasons, we decided to compare the in vivo capacity of late-stage (day 30) idSCs to both myoblasts and freshly isolated satellite cells in vivo.
idSCs regenerate muscle on par with satellite cells
Cell functionality is traditionally determined by cell transplantation. To test the in vivo behavior of late-stage idSCs, we infected primary myoblast lines from Tg:Pax7nGFP reporter mice with a lentivirus expressing luciferase and tdTomato (LT). This dual reporter facilitated FACS isolation of nGFP+tdTomato+ cells and the detection of donor-derived cells in histological sections, along with the ability to carry out longitudinal in vivo monitoring of transplanted cells using bioluminescent imaging (BLI)47,48. We induced bilateral cardiotoxin (CTX) injuries in the left and right tibialis anterior (TA) muscles of immunodeficient NSG mice. This allowed us to test in parallel two different types of cells in the same animal, thereby reducing experimental variability49. Forty-eight hours after injury, we transplanted 10,000 nGFP+tdTomato+ idSCs or nGFP+tdTomato+ parental myoblasts into regenerating TA muscles (Fig. 4a and Supplementary Fig. 5a). We subsequently conducted BLI measurements at 7 d, 14 d and 21 d after transplant to determine the persistence of engrafted cells (Fig. 4b and Supplementary Fig. 5b). Both myoblasts and idSCs displayed detectable radiance 48 h after transplant, confirming the success of the procedure (Supplementary Fig. 5c). However, at later timepoints, the radiance associated with transplanted idSCs progressively increased, whereas myoblast radiance levels steadily decreased (Fig. 4b). After 21 d, we observed a significant increase in radiance from TA muscles transplanted with idSCs (3.2 ± 0.7 million photons cm−2 s−1) compared to myoblasts (0.007 ± 0.001 million photons cm−2 s−1). This was observed even when a 50-fold excess of myoblasts was transplanted (Supplementary Fig. 5d). These data show that idSCs efficiently persist after transplantation, whereas myoblasts, in line with previous findings, do not14,50.
To explore the capacity of transplanted cells to incorporate into regenerating muscle fibers, we sectioned and stained TA muscles for the presence of tdTomato within myofibers from mice previously imaged by BLI. Under these conditions, donor cells and endogenous host satellite cells are competing to generate new myofibers. Manual injection of cells as well as differences in the area of damage produced by CTX in individual muscles contribute to variability. Notwithstanding, we observed significant engraftment of idSCs compared to myoblasts 21 d after transplant of 10,000 cells into CTX-damaged TA muscles (Fig. 4c). We further quantified this engraftment across entire muscle sections, finding that idSCs gave rise, on average, to 5.8% ± 0.8% tdTomato+ fibers per section (193.60 ± 27.01 tdTomato+ fibers per section), whereas myoblasts only rarely gave rise to engrafted fibers (0.02% ± 0.02% or 0.80 ± 0.80 tdTomato+ fibers per section) (Fig. 4d).
To confirm the ability of idSCs to repopulate the satellite cell niche, we stained transplanted muscle sections to identify donor-derived cells defined by the expression of both Pax7 and tdTomato (Fig. 4e). We found that idSCs gave rise to 44.8 ± 10.76 Pax7+tdTomato+ cells per section. When compared to the total number of Pax7+ cells in muscle sections, idSCs accounted for 14% ± 4% of Pax7+tdTomato+ cells. In contrast, myoblasts produced a negligible number of Pax7+tdTomato+ cells, expressed either as a total (0.4 ± 0.24) or as a percentage (0.2% ± 0.1%) (Fig. 4f). Taken together, these data suggest that idSCs have acquired the capacity to repopulate the stem cell niche and strongly resemble satellite cells after transplant into damaged muscle.
To determine whether idSCs can self-renew after damage, we subjected NSG mice, that had previously been transplanted bilaterally with 10,000 myoblasts or idSCs, to two additional rounds of re-injury conducted at days 21 and 42 after transplant (Fig. 4a). Successful self-renewal of these transplanted cells would allow them to participate in muscle repair after multiple rounds of injury. After each episode of CTX-induced injury, we observed enhanced radiance from TA muscles transplanted with idSCs (228 ± 84 million photons cm−2 s−1 at 42 d and 3.09 ± 1.2 billion photons cm−2 s−1 at 63 d) (Fig. 4g and Supplementary Fig. 5e). This significant increase in radiance levels after re-injury was observed only in the idSC samples and not in TAs transplanted with parental myoblasts. To further confirm that idSCs were able to support muscle regeneration after injury, we evaluated sectioned muscle for the presence of donor-derived fibers (tdTomato+) after one round of re-injury (day 42). Donor-derived fibers were readily observed in idSC-transplanted muscle, whereas they were completely absent in myoblast-transplanted samples (Fig. 4h). After one round of re-injury, idSCs contributed to the formation of new myofibers (43% ± 10% tdTomato+ fibers) across the entire muscle section, whereas no discernable tdTomato+ fibers were observed after re-injury of TA muscles transplanted with 10,000 myoblasts (Fig. 4i). These findings differ substantially from transplanted muscle that is not re-injured (Supplementary Fig. 5f), underscoring the capacity of idSCs to self-renew, giving rise to cells able to engraft into muscle and repopulate the satellite cell niche.
To rigorously compare unmodified freshly isolated satellite cells, idSCs and myoblasts, we assessed engraftment, repopulation and self-renewal of transplanted cells in a mouse model of muscular dystrophy (mdx5cv) in which muscle recovery from damage is impaired and revertant myofiber frequency is low (Fig. 5a)51. We found that the ability of idSCs to engraft (9.6% ± 1.3% dystrophin+ fibers per section) was as good as, if not superior to, that of freshly isolated satellite cells (7.3% ± 1.07% dystrophin+ fibers per section) (Fig. 5b,c). After re-injury, idSC engraftment appeared better than that achieved with freshly isolated satellite cells (21.5% ± 3.78% dystrophin+ fibers per section and 7.4% ± 4.1% dystrophin+ fibers per section, respectively) (Fig. 5c). Furthermore, the number of cells repopulating the satellite cell niche was similar at day 21 (9.9% ± 2.1% of Pax7+nGFP+ cells for idSCs and 10.9% ± 2.5% of Pax7+nGFP+ cells for satellite cells), whereas day 42 displayed a greater degree of repopulation for idSCs relative to satellite cells (28.2% ± 3.5% of Pax7+nGFP+ cells and 12.9% ± 3.2% of Pax7+nGFP+ cells, respectively) (Fig. 5d,e). At day 42, after re-injury, most of both populations (70.9% ± 8.9% of idSCs and 51.8% ± 7.7% of satellite cells) have withdrawn from the cell cycle and are Pax7+nGFP+Ki67− (Fig. 5f,g). As expected, donor myoblasts were unable to engraft or repopulate the satellite cell niche in damaged mdx5cv muscle (0.31% ± 0.1% dystrophin+ fibers per section and 0.7% ± 0.3% of Pax7+nGFP+ cells) and, when proliferated in vitro, were rarely Pax7+nGFP+Ki67− (13.5% ± 4.1%) (Supplementary Fig. 6a,b). Together, these data indicate that, despite being somewhat different from satellite cells based on transcriptional and epigenomic signatures, the in vivo behavior of transplanted idSCs is nearly equivalent to that of bona fide satellite cells.
idSCs restore muscle function on par with satellite cells
To determine whether transplanted idSCs could improve the function of damaged muscle, another test of their similarity to satellite cells, we irradiated TA muscles of NSG mice (13 Gy), induced damage with CTX and subsequently transplanted 10,000 myoblasts, idSCs or satellite cells (Fig. 6a). Irradiation of hindlimb muscle prevents endogenous satellite cells from entering the cell cycle after muscle damage52, meaning that the only cells capable of repairing muscle would be those provided by transplantation. We observed a substantial difference in specific force production between transplanted idSCs and myoblasts. idSCs gave rise to 138 ± 20.49 kN × m−2, similar to that produced by satellite cells (178 ± 16.43 kN × m−2), whereas myoblasts gave rise to negligible specific force readings (3 ± 0.88 kN × m−2) (Fig. 6b). These findings were further supported when assessing maximum tetanic and twitch forces (Supplementary Fig. 7a–d). Muscle force data were strongly supported by histological evaluation of the treated muscle at the conclusion of the study (Fig. 6c) and by quantifying the total number of myofibers per section obtained after the transplant of either satellite cells or idSCs (1,535 ± 145 fibers and 1,965 ± 313 fibers, respectively) (Fig. 6d). In contrast, sham (saline) and myoblast samples had much fewer fibers after regeneration (14 ± 8 fibers and 84 ± 12 fibers, respectively). These findings correlated with the percentage of centrally located nuclei in transplanted samples, a hallmark of newly regenerated muscle (Supplementary Fig. 7e), and with TA muscle weights (Supplementary Fig. 7f). Irradiated undamaged muscle was devoid of centrally nucleated myofibers consistent with the low levels of satellite cell turnover under normal conditions (Fig. 1f and Supplementary Fig. 7e). Finally, both idSCs and satellite cells reoccupied the satellite cell niche to a similar extent after regeneration (Supplementary Fig. 7g,h), further supporting the ability of late-stage idSCs to repopulate the satellite cell niche.
To purify idSCs without relying on a reporter, we considered the different expression of cell surface markers on idSCs and myoblasts (Supplementary Fig. 1e) and identified a combination of CD9+ and CD104− that effectively isolates idSCs (Supplementary Fig. 8a). Validation against nGFP+ idSCs resulted in 98.2% ± 2.2% CD9+CD104−, whereas the converse CD9+CD104− population contained 87.6% ± 6.6% nGFP+ cells (Supplementary Fig. 8a). We subsequently transplanted 10,000 CD9+CD104− sorted cells into TA muscles previously irradiated and damaged with CTX (Supplementary Fig. 8b). CD9+CD104− idSCs, when compared to nGFP+ sorted idSCs, resulted in similar levels of muscle formation (Supplementary Fig. 8c), the presence of donor cells repopulating the satellite cell niche (Supplementary Fig. 8d) and similar mean specific force values (163 ± 22.7 kN × m−2 relative to nGFP+ sorted 138 ± 20.49 kN × m−2) (Supplementary Fig. 8e). In addition, mean maximum force values (Supplementary Fig. 8f), TA muscle weights (Supplementary Fig. 8g) and percentage of centrally located nuclei (Supplementary Fig. 8h) in nGFP+ and CD9+CD104− transplants were comparable.
Recapitulation of idSC formation in human SkMOs
To make our findings more clinically relevant, we obtained human myoblast lines from patient biopsies or purchased them from commercial sources. We subsequently generated human SkMOs in an enhanced serum-free medium containing well-characterized components and limited animal products using a shortened 15-d protocol (Supplementary Fig. 9a)53. We observed subtle differences between the expression of human myogenic cell surface markers assessed at the myoblast stage and after 15 d of SkMO culture (Supplementary Fig. 9b). Although variable between replicates, %PAX7+ cells are rare across human myoblast lines (3.5% ± 3%) (Supplementary Fig. 9c,d). After the formation of human SkMOs, the percentage of PAX7+ cells decreases in variability across replicates and accounts for 5% ± 1% of total cells (Supplementary Fig. 9c,d). Notably, whereas PAX7+ cells in myoblasts are predominantly MYOD+ (84% ± 2%), in human SkMOs a minority are MYOD+ (5% ± 2%) (Supplementary Fig. 9c,e). Consistent with these findings, we observe a global decrease in the percentage of EdU+ cells when transitioning from proliferating myoblasts to human SkMOs (Supplementary Fig. 9f,g), resulting in a reduction in the percentage of PAX7+EdU+ cells between myoblasts (30% ± 22%) and human SkMOs (0.8% ± 1.7%) (Supplementary Fig. 9h). These findings suggest that SkMO formation drives myoblast dedifferentiation across species to a quiescent state whereby Pax7 is maintained while MyoD expression is absent.
Discussion
To develop a cell-based therapeutic capable of repairing damaged muscle, a source of myogenic cells—autologous or not—must engraft, repopulate the satellite niche and self-renew such that they can repair muscle after multiple rounds of damage. Potential sources are adult myoblasts, satellite cells, embryonic stem (ES)-derived or induced pluripotent stem cell (iPSC)-derived myogenic progenitors and the cells that we describe in this paper—idSCs. In clinical trials, myoblasts have been safe yet ineffective54,55,56,57,58,59,60,61. To date, no clinical trials have enriched for Pax7+ cells before transplant and have, rather, relied on the expression of N-CAM (CD56). Given that attempts to expand myoblasts in culture substantially reduces their effectiveness in vivo, a better understanding of the mechanisms responsible, along with rigorous transplant validation in vivo according to the standards set by satellite cells, are required62,63,64. In contrast, satellite cells, which have all the desirable criteria and, yet, are rare in postnatal skeletal muscle, necessitate methods to reliably expand them sufficiently to generate therapeutic numbers in vitro50,64,65,66,67,68. Alternatively, myogenic progenitors produced from embryonic (hESC or iPSC) stem cells show promise with respect to cell yield and can model both embryonic muscle formation69 and neuromuscular development70,71. However, they remain in an immature state and do not demonstrate long-term regenerative capacity in vivo69,72,73,74,75,76. No myogenic cell has shown efficacy in the clinic, and the optimal cell source and culture protocol remain to be determined.
Our data show that culturing myoblasts in suspension under appropriate conditions stimulates their self-assembly into SkMOs and adheres to the founding principles established to describe organoids77. In fact, 3D cultures of cells from dissociated skeletal muscle exist and yet have been employed for other purposes and differ from SkMOs in that they contained non-myogenic lineages with few Pax7+ cells78,79,80,81,82. We showed that idSCs are expandable and can be derived from mouse tissue (Fig. 1) as well as from adult human commercial and non-commercial myoblast lines (Supplementary Fig. 9). The production of idSCs is both robust, in that they can be readily produced in the millions (Supplementary Fig. 1d), and reproducible (Supplementary Figs. 1c and 9e), given their successful generation by numerous members of our research group using several different mouse strains. idSCs when transplanted into regenerating muscle engraft on par with satellite cells (Figs. 4 and 5) and approximate previous findings in the field12,83. In addition, idSCs repopulate the niche and self-renew in vivo in both unaffected and diseased models of muscle regeneration (Figs. 4 and 5). Of note, in the absence of endogenous satellite cells, idSCs give rise to de novo muscle fibers that generate force on par with transplanted satellite cells (Fig. 6 and Supplementary Fig. 7). Finally, we developed a purification strategy using cell surface markers for mouse idSCs that, when transplanted in vivo, yield similar muscle force generation to primary satellite cells (Supplementary Fig. 8). Our approach, although not fully optimized, meets the criteria of a satellite cell as detailed above.
The physical properties and extracellular signals of the stem cell niche facilitate the maintenance of satellite cell function50,64,66,68,84,85,86,87,88,89. We observed enrichment of type V collagens in both the epigenomic and transcriptional signatures shared by late-stage idSCs and satellite cells (Figs. 2a and 3d). Type V collagens were previously demonstrated as being important components of the quiescent satellite cell niche and specific downstream targets of Notch signaling44. Furthermore, our epigenomic and transcriptional analysis of idSCs identified an increase in the expression of key ECM components present in the satellite cell niche43,45,66,90,91,92,93 and genes associated with functional regulation of muscle regeneration42,44 (Figs. 2a,c,d and 3c,d and Supplementary Figs. 3b–d and 4c,d). Together, these data suggest that SkMOs contain a niche similar to that found in vivo such that idSCs can appear, survive and expand.
Our results support the hypothesis that 3D culture is permissive for several processes that cause myoblasts to dedifferentiate into idSCs and maintain them in a satellite cell-like state. First, as idSCs appear during organoid growth, large-scale epigenomic remodeling occurs, resulting in the progressive silencing of the myogenic program (Fig. 3a–c and Supplementary Fig. 4d)23,94,95,96. In parallel and likely, as a consequence, myoblast-specific E-box sites transition to an unbound state on their target promoters during idSC maturation to eventually match satellite cells (Fig. 3c–f). These temporal changes in the epigenetic state during dedifferentiation culminate in late-stage idSCs having a satellite cell-like epigenomic profile, including proteins associated with the satellite cell state and Notch pathway members (Fig. 3c,d and Supplementary Fig. 4d). Likewise, at the transcriptional level, these same genes are modulated in idSCs as they are in satellite cells (Fig. 2a,c,d and Supplementary Fig. 3b,c).
Our data suggest that myoblasts first lose their identity at the epigenomic level before activation of core satellite cell transcriptional pathways (Notch, ECM and quiescence biomarkers) during idSC maturation. In addition, freshly isolated idSCs demonstrate the rapid induction of genes associated with satellite cell activation43,45,97,98, including MAPK/AP-1, Egr family members and PI3K/Akt modulation (Fig. 2 and Supplementary Figs. 3b,d and 4c,e). Alongside these epigenomic and transcriptional changes, idSCs show hallmarks of the endogenous satellite cell’s quiescent state, including a lack of DNA replication (Fig. 1e,f), downregulated cell cycle genes (Fig. 2c,d), reduced cell size (Fig. 1g,h), absence of MyoD protein (Fig. 1c,d) and upregulation of the quiescence factors Spry1 and Wnt4 (Fig. 2a,c and Supplementary Fig. 3b)4,99. Mouse idSCs, when compared to adult human satellite cells100,101,102 or engineered adult human skeletal muscle103, display key conserved satellite cell signatures (ECM, Notch pathway, downregulation of MyoD and cell cycle-related genes), demonstrating significant similarities across species, further supporting the feasibility to efficiently produce human idSCs when starting from muscle biopsies.
These findings demonstrate that idSCs are similar to satellite cells with respect to their functional capacity in vivo, despite differences both at the transcriptional (Fig. 2d, Supplementary Fig. 3d and Supplementary Table 3) and epigenomic (Fig. 3a and Supplementary Fig. 4c) levels. Thus, our findings suggest core changes, as outlined above, that must occur in myoblasts to facilitate their dedifferentiation in vitro. Whether idSCs acquire these functional properties in vitro, or are sufficiently primed to gain them once placed in a damaged environment in vivo, remains to be determined. To date, when studying quiescent adult satellite cells, the field is limited to approximately 100,000 FACS-sorted cells per mouse. It is now feasible using our organoid method to readily generate 3 million idSCs per spinner flask (Supplementary Fig. 1d), using common and inexpensive equipment. Perturbing the pathways involved during idSC formation may offer the ability to leverage previously identified small-molecule64,65, biologic68,89 and ECM44,50,104 modulators to improve this process. Thus, given the time required for their formation, the abundance of idSCs generated, the possibility to store them frozen and the potential for purification using cell surface markers, the SkMO system may facilitate studies into how myogenic cells dedifferentiate and regain satellite cell function.
To produce human idSC equivalents, we tested clinically relevant modifications, including producing SkMOs from human myoblasts in serum-free medium and in a shortened timeline (Supplementary Fig. 9a). We determined that, after 15 d in culture, human SkMOs contain PAX7+ cells that have returned to a quiescent state and do not express MYOD, both hallmarks of human satellite cells (Supplementary Fig. 9c–h). Analysis of canonical human myogenic cell surface markers, used to compare human myoblasts to cells from dissociated SkMOs, did not readily identify candidates for purification (Supplementary Fig. 9b). To these ends, future approaches to identifying cell surface markers for the purification of human idSCs/SCs from myoblasts could include CyTOF28, single-cell proteomics105 or screening commercial cell surface libraries106. Additionally, single-cell transcriptomics from a timecourse of human SkMO generation would further inform how to translate this method from mouse to human.
One hurdle in clinical cell therapy is producing cells at scale107. Our current method (spinner flask culture or orbital shake culture) should be readily transferable to methods used for mid-scale and large-scale production of allogeneic cells107,108. However, autologous use of our cells would require less expansion/batch yet would demand the ability to generate cells across a series of patients. Currently, even before optimization, we successfully generated thousands of SkMOs/batch across four patient myoblast samples, some even highly passaged. A human TA muscle is approximately 1,000 times the weight of a mouse TA muscle. Currently, we can regenerate all of the damaged muscle of a mouse TA devoid of its own satellite cells after the transplant of 10,000 idSCs into an irradiated and CTX-treated NSG mouse (Fig. 6d). With further optimization of our manufacturing protocol and culture medium109, our data suggest that we will be able to produce 10 million human idSCs from a single muscle biopsy. That should be sufficient to repair a human TA muscle. From a translational perspective, this may be a viable approach to generate autologous cells to treat patients with genetic disorders that affect a subset of muscles, trauma-induced muscle damage (sports, accident or military related) and age-related muscle weakness (sarcopenia). Future iterations of our method, in combination with gene therapy or CRISPR-mediated gene editing, could maintain muscle mass and deliver corrected genes targeted toward a variety of degenerative genetic muscle disorders.
Methods
Animals
We used the following mouse lines: C57BL/6J (Jax no. 000664), Tg:Pax7nGFP mice (provided by Shahragim Tajbakhsh, Institut Pasteur), mdx5cv Rag null (provided by E.G.) and NOD.CG-PrkdcscidIL2rgtm1Wjl/SzJ (NSG) (Jax no. 005557). All mice were housed in a 12:12 hour light–dark cycle at 21–25 °C and 30%−75% humidity with ad libitum access to food and water. All experiments were approved by and performed in accordance with Harvard University Institutional Animal Care and Use Committee guidelines for animal handling and care. A mixture of male and female mice was used to obtain satellite cells and derive myoblasts lines. All NSG mice used in this study were male.
Cell culture
“Satellite cells” refers to cells freshly isolated by FACS and immediately used, whereas “primary myoblasts” refers to cells derived from satellite cells, cultured in vitro for longer than two weeks, and used for experiments between passage 5 and 15. Satellite cells and primary myoblast lines were derived using hindlimb skeletal muscle from C57BL/6J, Tg:Pax7nGFP mice as previously described24,27. Briefly, hindlimb skeletal muscles were aseptically dissected from either male or female 2- to 6-month-old mice, minced, and digested in a dispase and collagenase solution (1 mg ml–1 collagenase and 4 mg ml–1 dispase II, Roche) for 10 min (triturated after 5 min) at 37 °C. The slurry was pelleted at 543g for 5 min and subsequently filtered through a 100-μm cell strainer (Corning). Cells were washed in FACS buffer several times before FACS sorting or culture in vitro. For the derivation of primary myoblast lines, cells were cultured in growth medium: Ham’s F10 (Wisent), 20% heat inactivated FBS (Sigma Aldrich), 5 ng ml–1 human bFGF, Aldevron), non-essential amino acids and Glutamax (Gibco) on collagen-coated plates (rat tail collagen) (Corning), at 37 °C with 5% CO2. Following culture ex vivo for 1 week, myoblasts were purified on the basis of nGFP (Tg:Pax7nGFP) or α7 integrin (UBC Ablab). Purified myoblasts were passaged five times before being frozen as cell stocks. Differentiated myotubes or reserve cells were generated from proliferative myoblasts, grown to confluence, and subsequently cultured for 5 days in differentiation medium: DMEM (Gibco), 5% heat inactivated horse serum (Life Technologies), non-essential amino acids and Glutamax (Gibco) on laminin-coated plates (Thermo Fisher Scientific). Human myoblasts were either purchased from a commercial vendor (Gibco, unknown passage) or provided by E.G. (passage 8). Human myoblasts were expanded and further enriched for expression of the CD82 cell surface marker and subsequently frozen as stocks (passage 10–15). Myoblasts were thawed and expanded on collagen-coated dishes in growth medium: Ham’s F10 (Wisent), 20% FBS (Sigma Aldrich), 10 ng ml–1 human bFGF (Aldevron), non-essential amino acids and Glutamax (Gibco).
Skeletal muscle organoid formation
Mouse skeletal muscle organoids (SkMOs) were generated from myoblasts (passage 5–15) cultured in growth medium on collagen coated plates. Myoblasts were expanded on ten 15-cm plates (Westnet) before adaptation to 3D culture. Optimal seeding densities and spin rates were determined empirically and were based on a previous publication from the lab17. One million myoblasts per milliliter (50 million cells per spinner flask) were seeded into a 125-ml spinner flask (Corning) on a nine-position stir plate (Dura-Mag) at 55 r.p.m. in a 37 °C incubator with 5% CO2. Cells were seeded in spin medium: DMEM:F12 (Gibco), 20% heat inactivated FBS (Sigma Aldrich), 10 ng ml–1 human bFGF (Aldevron), non-essential amino acids and Glutamax (Gibco). SkMOs were fed every 48 h by allowing the organoids to settle, aspirating medium and adding 50 ml of fresh spin medium. After 20 days, the medium was changed to differentiation medium for 10 days. Human SkMO formation was conducted using human myoblasts seeded into Elplasia plates (Corning) at 10,000 myoblasts per microcavity in human serum-free medium: Ham’s F10:RPMI1640, non-essential amino acids, Glutamax, B27, insulin transferrin selenium (ITS), lipid concentrate (all from Thermo Fisher Scientific), 500 μg ml–1 BSA, 1 μM dexamethasone (Sigma Aldrich), 10 ng ml–1 EGF (Biolegend), 10 ng ml–1 human bFGF (Aldeveron) and 1 μM Repsox (Selleckchem). Preformed human SkMOs received four medium changes over a period of 48 h before being transferred to 10-cm ULA plates (Corning). Human SkMOs were maintained in human serum-free medium for 8 days on an orbital shaker (IKA) at 100 r.p.m. and transferred to human differentiation medium (DMEM, non-essential amino acids, Glutamax (all from Gibco)) for 5 days with shaking. Harvard Institutional Review Board approval was awarded to conduct work with human samples in this study.
Lentiviral production and infection
Third-generation lentivirus was produced in 293T cells using the following plasmids: for the expression vector pCDH-EF1-Luc2-P2A-tdTomato (a gift from Kazuhiro Oka; Addgene no. 72486) was produced in combination with packaging plasmids pMDLg (Addgene plasmid no. 12251), pRSV-Rev (Addgene plasmid no. 12253) and pMD2.G (Addgene plasmid no. 12259)110. Myoblasts were infected with lentivirus to express luciferase and tdTomato (LT) in the presence of polybrene (Sigma) at a concentration of 5 µg ml–1 overnight. Myoblast lines were subsequently enriched for tdTomato-positive cells by FACS.
Flow cytometry and FACS analysis
SkMOs were rinsed with PBS and digested in a 50-ml falcon tube with collagenase/dispase solution at a final concentration of 1 mg ml–1 DNase I (Worthington). Following trituration, the cell suspension was quenched with FBS and pelleted. Dissociated SkMO cells, satellite cells from hindlimb skeletal muscle, primary myoblasts or reserve cells were resuspended in FACS buffer and filtered through a 50-µm filter (Partec) before FACS sorting. Cells were separated on a MoFlo cytometer (DakoCytomation) on the basis of their expression of nGFP or staining with commercially available antibodies (Supplementary Table 6). Cells were incubated with conjugated antibodies for 30 min and filtered through a 50-µm filter (Partec) before analysis. Sorted satellite cells were either used immediately for experiments or expanded in culture as myoblast lines before SkMO generation. Flow cytometry scatter plots were generated and analyzed using FlowJo v10.0.
Cell size experiments
Following purification based on nGFP expression, cells were placed onto a microscope slide with FACS buffer and covered with a coverslip. Cells were imaged immediately without fixation using phase contrast on a Nikon Eclipse Ti. Cell diameter was determined using the Photoshop measurement tool.
Clonal spheroid experiments
Satellite cells, idSCs or myoblasts were sorted into a 96-well spheroid microplate (Corning) directly from the Astrios or MoFlo sorter (Beckman Coulter) and incubated at 37 °C. The percentage of wells containing a single cell was assessed after 24 h. For the clonal assay, cells were allowed to grow in spin medium for 10 days and given 100 µl of fresh medium on day 5. Cells were counted using a manual counter.
Immunofluorescence staining and microscopy
Muscle tissues were dissected and fixed with 0.5% PFA (Electron Microscopy Sciences) for 1 h, washed with PBS (Corning) several times and incubated overnight in 30% sucrose (Sigma Aldrich), all at 4 °C. SkMOs were processed in an identical fashion. Tissues were embedded in O.C.T./sucrose (2:1, Tissue-Tek) and frozen. Sections were cut (12–15 µm) and stored at –80 °C until use. Cultured cells were fixed in 0.5% PFA (Electron Microscopy Sciences) for 5 min and subsequently rinsed with PBS (Corning) before storage at 4 °C. Before antibody staining, samples were incubated at room temperature for 30 min in blocking solution (2% BSA (VWR), 5% goat serum (Life Technologies), 0.2% Triton X-100 (Sigma Aldrich) and 0.02% sodium azide (Sigma Aldrich)). Muscle sections were preblocked in M.O.M. blocking buffer (Vector Laboratories) for 30 min at room temperature before being incubated with blocking solution. Primary antibodies (Supplementary Table 5) were diluted in blocking solution and incubated at room temperature for 1 h. Samples were then rinsed with PBS and incubated with secondary antibodies at room temperature in the dark. Samples were rinsed with PBS and counterstained with Hoechst, mounted (Dako Fluorescence Mounting Medium), coverslipped and imaged. To label proliferating cells, 5-ethynyl-2′-deoxyuridine (EdU, Lumiprobe) was administered subcutaneously (50 mg per kg body weight) or added directly to culture medium (1 µM) followed by a 48-h chase period. Visualization of signal was conducted using a ClickiT EdU cell proliferation kit (Life Technologies) according to the manufacturer’s instructions followed by immunofluorescence staining. All samples were imaged on either a Nikon Eclipse TE2000-S or a Nikon Eclipse Ti unless otherwise specified.
Engraftment, repopulation and self-renewal experiments
Cell transplant into tibialis anterior (TA) muscle was conducted as described previously66. Briefly, bilateral TA muscle damage was created in adult 2- to 6-month-old male NSG mice following an intramuscular injection using an insulin syringe containing 50 µl of 10 µM CTX (Millipore-Sigma). Consistent levels of damage were observed to exceed 80% of the TA muscle. Parental myoblast lines derived from Tg:Pax7nGFP mice and infected with LT lentivirus were used to generate idSCs. Either myoblasts or idSCs were FACS purified and immediately transplanted (10,000 nGFP+ tdTomato+ cells per TA) 48 h after CTX injection. All engraftment, repopulation, self-renewal and muscle force experiments were blinded. Bioluminescence imaging (BLI) was conducted on anesthetized (2% isoflurane, MWI Veterinary Supply) mice injected subcutaneously with d-luciferin (Gold Biotechnology) at a concentration of 150 mg kg–1 body weight. BLI was performed using an IVIS-Spectrum (Perkin Elmer) at the plateau phase of d-luciferin perfusion, approximately 15 min after subcutaneous injection. Data analysis was conducted using Living-Image Software (Xenogen) to determine the average radiance present in a manually created region of interest conserved across all experiments and background subtracted. For Rag-null mdx5cv engraftment and repopulation experiments, the hindlimbs of 6- to 12-week-old mice were irradiated at 13 Gy (X-Rad, Precision X-ray) 1 day before transplantation, in which 10,000 freshly sorted nGFP+ satellite cells, idSCs or myoblasts were injected into non-CTX-damaged TA muscle. One cohort of mice was collected for histology before re-injury at day 21 while the remaining mice were collected for histology at day 42.
In situ muscle function experiments
The hindlimb muscles of NSG mice were irradiated at 13 Gy (X-Rad, Precision X-ray) 3 days before cell transplant. Mice were anesthetized with a xylazine/ketamine cocktail (100 mg kg–1 ketamine, 15 mg kg–1 xylazine) during hindlimb irradiation. Myoblasts, idSCs, and satellite cells were FACS purified and immediately transplanted (10,000 nGFP+ cells per TA) 48 h after injection of 50 µl of 10 µM CTX. Undamaged controls were irradiated while sham controls were irradiated and injected with 50 µl of saline. For in situ muscle force experiments, mice were anesthetized (2% isoflurane) and placed ventrally on a 37 °C heated stage, and the leg was dissected to expose the TA. The fascia was removed, and a suture (Monocryl monofilament, Ethicon) was tied around the tendon of the TA muscle using a double surgeon’s knot before the tendon was severed. Muscle force experiments were conducted on a 1300-A whole mouse test system (Aurora Scientific). The sutured distal tendon was affixed to the motor lever and positioned perpendicular to the TA muscle. Both electrodes were placed along the belly of the TA, with the cathode closest to the peroneal nerve. Calibrated Dynamic Muscle Control and Analysis software (Aurora Scientific) and a 701C bi-phase stimulator (Aurora Scientific) were used to acquire muscle force measurements. Following stimulation and data collection, the optimal muscle length was calculated using calipers measuring from the patellar tendon to the TA distal tendon where the knot was tied. TA muscles were subsequently dissected, weighed, fixed in 0.5% PFA for 1 h, washed with PBS and incubated overnight in 30% sucrose at 4 °C. Sections were cut (12–15 µm), stained with hematoxylin and eosin, and imaged on a Zeiss AxioScan.
Transcriptional profiling
RNA for qPCR analysis was extracted using an RNEasy Mini kit (Qiagen) and 500 ng–1 µg of total RNA was reverse transcribed using the iScript kit (Bio-Rad) according to the manufacturer’s instructions. qPCR was conducted using Fast SYBR Green reagents (Life Technologies) targeting specific genes (Supplementary Table 6) on a QuantStudio 12k Flex Real-Time PCR system (Applied Biosystems). Primer quality was assessed on the basis of the presence of a single melt curve peak. The fold change in gene expression was determined based on the 2–ΔΔCT method111. Statistical significance of qPCR values was based on comparison between dCT values112. For RNA-seq, RNA was extracted using a Total RNA Purification Plus kit (Norgen Biotek) and quantified using a Nanodrop (Thermo Fisher Scientific). 50 ng of total RNA in 10 μL of water was mixed with 10 μL of 1× TCL lysis buffer with 1% (vol/vol) β-mercaptoethanol (Qiagen). Each sample was added to triplicate wells in 384-well plates, which were stored at –80 °C. Before library construction, the plate was thawed, vortexed, and centrifuged for 1 min at 188g. 28 μL of SPRI beads (Beckman Coulter Genomics) were added directly to the sample, mixed and incubated for 5 min. The plate was transferred to a magnetic rack to aggregate the beads and incubated for 5 min before removing the supernatant. The beads were washed with 80% ethanol and dried for 1 min. 20 μL of nuclease-free water was added per well, the plate was removed from the magnetic rack, and the beads were thoroughly resuspended. Following a 5-min incubation, the plate was returned to the magnetic rack and incubated for an additional 5 min before transferring the supernatant to a fresh PCR plate. 5 μL of the supernatant was transferred to a separate plate containing RT master mix and 3′ and 5′ adapters for reverse transcription and template switching and incubated for 90 min at 42 °C (ref. 113). The cDNA was pooled and purified with a QIAquick PCR purification kit (Qiagen) according to the manufacturer’s directions with a final elution in 24 μL of nuclease-free water, followed by an exonuclease I treatment for 30 min at 37 °C that was stopped with a 20-min incubation at 80 °C. The cDNA was then amplified using the Advantage 2 PCR Enzyme System (Takara) for 5 cycles and purified using AMPure XP magnetic beads (Beckman Coulter Genomics). Library preparation was completed with 55 ng input using a Nextera DNA kit (Illumina) following the manufacturer’s instructions. The library was amplified 5 cycles and purified with AMPure XP magnetic beads (Beckman Coulter Genomics). A Pippin PREP purification of the sample from 300 to 800 bp was performed, quantified by qPCR, and sequenced on a single Illumina NextSeq run with paired-end reads (17R1, 58R2) at the Harvard University Bauer Core Facility. Reads were de-multiplexed and aligned to mm10 via bwa aln -l 24 (ref. 113). Gene expression levels were determined by counting unique UMIs among reads with unambiguous gene mappings. The resulting expression matrix was further filtered by removing (1) samples with fewer than 3,000 genes detected, (2) RNA-associated genes (Mt_tRNA, Mt_rRNA, snoRNA, snRNA, misc_RNA, scaRNA, rRNA, sRNA), and (3) genes with fewer than 10 counts total that were seen in fewer than 4 samples. The R package edgeR 3.26.8 (R version 3.6.1) was used for differential expression analysis. KEGG pathway analysis was conducted using DAVID (https://david.ncifcrf.gov/).
Epigenomic profiling
ATAC-seq experiments were conducted according to the Omni-ATAC protocol39. Libraries were sequenced on an Illumina Nextseq 500 using 75-bp paired-end reads. Raw reads were trimmed of adapters using NGmerge114 and aligned to mm10 using Bowtie2 (ref. 115). Mitochondrial reads were removed using removeChrom (https://github.com/jsh58/harvard) and PCR duplicates removed using Picard (http://broadinstitute.github.io/picard/). Aligned reads with low quality mapping scores were removed using SAMtools116. Alignment (bam) files were downsampled to a standard of ~200 M mapped reads using Picard. Peak calling was performed using Genrich (https://github.com/jsh58/Genrich). Bam files were sorted by name using SAMtools, and peaks were called using default ATAC parameters (-j -p 0.01 -a 200), excluding the ENCODE blacklist for mm10. Consensus peak sets from replicates were called using IDR (https://github.com/kundajelab/idr/). Differential peak accessibility and replicate concordance was performed using Diffbind40 and ChromVAR117 while functions of cis-regulatory regions were predicted using GREAT41 and footprinting analysis was conducted using TOBIAS46.
Quantification and statistical analysis
All results are presented as a mean ± s.e.m. Individual biological or technical replicates are shown when appropriate. Statistical analysis of two conditions used Student’s two-tailed t-tests with equal variance and normality assumed, although not formally tested, with no multiple-testing correction unless otherwise specified. Paired t-tests were used for biologically matched samples and unpaired t-tests were used for unrelated samples.
Reporting summary
Further information on research design is available in the Nature Portfolio Reporting Summary linked to this article.
Data availability
The RNA sequencing data can be found on FigShare at https://doi.org/10.6084/m9.figshare.25917505. The GEO accession code for ATAC-seq data in this paper is GSE267952. No restrictions on data availability exist.
Code availability
Code is available upon request.
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Acknowledgements
We kindly thank S. Fan, R. Halperin, C. Clark, E. Tsai, A. Rigamonti, E. Hansson and N. zur Nieden for encouragement and help in the structuring of this project. We kindly thank Z. Niziolek for his patience, advice and support throughout the considerable number of FACS experiments involved in this study. We kindly thank C. Macgillivray and D. Faria for their countless hours sectioning muscle. We kindly thank S. Tajbakhsh for the Tg:Pax7nGFP mice and detailed protocols for Pax7 staining of fixed tissue. We kindly thank J. Morgan for her advice regarding the irradiation damage model for skeletal muscle transplants. This work was funded, in part, by the Blavatnik Biomedical Accelerator Fund at Harvard University, the Brigham and Women’s Hospital–The Gillian Reny Stepping Strong Center for Trauma Innovation, a generous gift to the Harvard Stem Cell Institute from Dr. Priscilla Winn Barlow, a National Institutes of Health LINCS Phase II grant (1U54HL127365) and National Resilience, Inc.
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F.D.P. and M.N.M. designed and carried out experiments, analyzed results and wrote the manuscript. W.C., A.R.G., E.A.W. and R.M.G. designed and carried out experiments, analyzed results and edited the manuscript. S.A.B. designed and carried out experiments. K.M.H. and J.M.P. designed experiments, analyzed results and edited the manuscript. A.L., J.S., P.S., K.G. and I.T.P. carried out experiments and analyzed results. P.K.S. and M.S. edited the manuscript. K.L.P., E.G., S.M.B. and L.L.R. designed experiments, analyzed results and wrote the manuscript.
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A patent is active in the United States (US11512291B2) based on this research. L.L.R. and F.D.P. are co-founders of Circle Therapeutics, Inc. Circle Therapeutics and National Resilience are both interested in developing therapeutics to treat skeletal muscle disorders. L.L.R. is a founder of Vesalius Therapeutics, a member of its scientific advisory board and a private equity shareholder. He is also on the advisory board of Alkahest, a Grifols company, which is focused on the plasma proteome, and is a scientific advisory board member of ProjenX and Corsalex. All are interested in formulating approaches intended to treat diseases of the nervous system and other tissues. With the exception of National Resilience, none of these companies provided any financial support for this work, and the current work is unrelated to work carried out at any of these companies. The remaining authors declare no competing interests.
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Price, F.D., Matyas, M.N., Gehrke, A.R. et al. Organoid culture promotes dedifferentiation of mouse myoblasts into stem cells capable of complete muscle regeneration. Nat Biotechnol (2024). https://doi.org/10.1038/s41587-024-02344-7
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DOI: https://doi.org/10.1038/s41587-024-02344-7
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