SUMMARY
The functionality of stem cells declines during aging thereby contributing to aging-associated impairments in tissue regeneration and function1. Alterations in developmental pathways have been associated with declines in stem cell function during aging2–6 but the nature of this process remains poorly defined. Hox genes are key regulators of stem cells and tissue patterning during embryogenesis with an unknown role in aging7,8. This study identifies an altered epigenetic stress response in muscle stem cells (also known as satellite cells = SCs) of aged compared to young mice. This includes aberrant global and site-specific induction of active chromatin marks in activated SCs from aged mice resulting in the specific induction of Hoxa9 among all Hox genes. Hoxa9 in turn activates several developmental pathways and represents a decisive factor separating gene expression of SCs from aged compared to young mice. This includes most of the currently known inhibitors of SC function in aging muscle such as Wnt-, TGFß-, JAK/STAT- and senescence signaling2–4,6. Inhibition of aberrant chromatin activation or deletion of Hoxa9 suffices to improve SC function and muscle regeneration in aged mice, while overexpression of Hoxa9 mimics aging-associated defects in SCs from young mice, which can be rescued by inhibition of Hoxa9-targeted developmental pathways. Together, these data delineate an altered epigenetic stress response in activated SCs from aged mice, which limits SC function and muscle regeneration by Hoxa9-dependent activation of developmental pathways.
Keywords: Skeletal muscle, satellite cell, regeneration, stem cells, aging, Hox genes, development, histone modifications, chromatin systems biology
Age-dependent decline in the number and function of Pax7+ SCs impair the regenerative capacity of skeletal muscle2,4,9 and pathways that contribute to this process2–6 include several genes and pathways that regulate embryonic development10–13. Despite these parallels the function of the master regulators of development, Hox genes, has not been determined in SC aging. An analysis of freshly isolated, in vivo activated SCs from young adult and aged mice (Extended Data Fig. 1a–e) revealed a specific upregulation of Hoxa9 in SCs from aged mice, both on mRNA (Fig. 1a, Extended Data Fig. 2a,b) and protein level (Fig. 1b,c). Similar results were obtained by immunofluorescence staining of SCs (Extended Data Fig. 2c) and myofiber-associated SCs (Fig. 1d,e, Extended Data Fig. 2d) that were activated in culture (Extended Data Fig. 1f,g).
Aging reduces the proliferative and self-renewal capacity of SCs in wildtype mice (Hoxa9+/+, Extended Data Fig. 3; ref. 2,9,14,15). Homozygous deletion of Hoxa9 (Hoxa9−/−) did not affect the colony forming capacity of SCs from young adult mice but ameliorated aging-associated impairment in colony formation of single cell-sorted SCs in culture (Fig. 2a). Hoxa9 deletion also increased the self-renewal of myofiber-associated SCs from aged mice in culture but had no effect on SCs from young adult mice under these conditions (Extended Data Fig. 4a–c). Similar results were obtained by siRNA-mediated knockdown of Hoxa9 in myofiber-associated SC cultures derived from aged mice (Extended Data Fig. 4d–h). The number of SCs decreases in resting tibialis anterior (TA) muscle of aging wildtype mice, which was not affected by Hoxa9 gene status (Extended Data Fig. 5a). However, homozygous deletion or siRNA-mediated knockdown of Hoxa9 increased the total number of Pax7+ SCs (Fig. 2b) and improved myofiber regeneration in injured muscle of aged mice almost to the levels in young adult mice (Fig. 2c, Extended Data Fig. 5b–f), albeit without affecting overall SC proliferation rates 7 days after muscle injury (Extended Data Fig. 5g,h). Hoxa9 gene deletion also improved the cell-autonomous, in vivo regenerative capacity of transplanted SCs derived from aged donor mice but did not affect the capacity of SCs derived from young adult donors (Fig. 2d,e, Extended Data Fig. 6a). Similarly, Hoxa9 downregulation by shRNA infection rescued the regenerative capacity and the engraftment of transplanted SCs derived from aged mice almost to the level of SCs from young adult mice (Extended Data Fig. 6b–h). When transduced at similar infection efficiency (Extended Data Fig. 6i), Hoxa9 shRNA compared to scrambled shRNA improved the self-renewal of serially transplanted SCs from aged mice in primary recipients (Fig. 2f, Extended Data Fig. 6j) as well as the regenerative capacity of 500 re-isolated SCs from primary donors that were transplanted for a second round into the injured TA muscle of secondary recipients (Fig. 2g, Extended Data Fig. 6k). Together, these results demonstrate that the induction of Hoxa9 limits SC self-renewal and muscle regeneration in aged mice and that the deletion of Hoxa9 is sufficient to revert these aging-associated deficiencies.
The expression of Hoxa9 in development and leukemia is actively maintained by Mll1-dependent tri-methylation at lysine 4 of histone 3 (H3K4me3)16–18. Chromatin immunoprecipitation (ChIP) revealed that H3K4me3 is strongly enriched at the promoter and first exon of Hoxa9 in activated SCs from aged compared to young adult mice, which was not detected to the same extent for other HoxA genes (Fig. 3a, Extended Data Fig. 7a). ChIPs for Mll1 and Wdr5 (a scaffold protein of the Mll1 complex) revealed increased recruitment of these factors to the HoxA cluster with Wdr5 enrichment being defined to the Hoxa9 locus (Fig. 3b,c). Although no changes were observed for Mll1, both H3K4me3 and Wdr5 showed significantly increased expression in nuclei of myofiber-associated SCs from aged vs. young adult mice upon activation (Extended Data Fig. 7b–e). Of note, knockdown of either Mll1 or Wdr5 reduced H3K4me3 levels as well as Mll1 recruitment to the Hoxa9 locus and ameliorated Hoxa9 induction in activated myofiber-associated SCs from aged mice (Fig. 3d,e, Extended Data Fig. 7f–i). Similar results were obtained by treatment of aged myofiber-associated SCs with OICR-9429, an inhibitor of the Mll1-Wdr5 interaction19 (Extended Data Fig. 7j,k). Moreover, both Mll1 knockdown or OICR-9429 treatment increased the self-renewal and lowered the myogenic commitment of myofiber-associated SCs from aged mice (Extended Data Fig. 7l–q) resulting in increased SC numbers in cultures of purified SCs or myofibers derived from aged mice (Extended Data Fig. 7r,s). Importantly, Mll1 inhibition by either stable shRNA knockdown (Extended Data Fig. 7t) or OICR-9429 treatment improved the regenerative capacity of SCs from aged mice when transplanted into injured muscle of recipient mice (Fig. 3f–h). Taken together, these experiments demonstrate that the Mll1 complex contributes to Hoxa9 induction in activated SCs from aged mice resulting in impairment in SC function and muscle regeneration. Pax7 expression was downregulated in activated SCs of aged mice (Extended Data Fig. 7u–w) and did not correlate with Hoxa9 expression (Extended Data Fig. 7x,y), indicating that Mll1-dependent regulation of Pax7 target genes20 was not involved in the Mll1-dependent induction of Hoxa9 in activated SCs from aged mice.
Next, a global analysis of histone post-translational modifications was carried out on freshly isolated SCs harvested before muscle injury (quiescent state) or two, three and five days after in vivo SC activation mediated by muscle injury (Fig. 4a,b, Extended Data Fig. 8a). Using a recently developed mass spectrometry-based proteomic strategy21, 46 histone H3 and H4 lysine acetylation and methylation motifs were quantified. Quiescent SCs from aged mice compared to young adult mice showed elevated levels of repressive marks (H3K9me2 and H3K27me3; Extended Data Fig. 8a; consistent with ref. 22) and lower amounts of histone modifications typically enriched on active genes (e.g. various H4 acetylation motifs, H3K14ac, H3K18ac, H3K36me2; Extended Data Fig. 8a). A time-dependent shift towards a heterochromatic state occurred during SC activation in young adult mice, while activation in aged SCs generated the opposite response (Fig. 4a,b). While selective active marks such as H3 and H4 acetylation motifs declined in SCs from young adult mice during activation, there was a substantial increase of these marks in aged SCs (Fig. 4a–c). On the other hand, repressive marks (e.g. H3K27me3) decreased in SCs from aged mice but remained stable in SCs from young adult mice (Fig. 4a,b,d). The observed shift of the chromatin towards a more permissive state upon activation appeared to also affect the HoxA cluster as this locus displayed an increased chromatin decompaction upon activation in aged mice but not in young adult mice (Fig. 4e–g).
To analyze the functional contribution of different types of chromatin modifications in activated SCs from aging mice a set of genetic and pharmacologic experiments was conducted. The expression of key enzymes involved in chromatin modifications was similar in activated SCs from young adult and aged mice (Extended Data Fig. 8b). However, knockdown of the acetyltransferases MOF, CBP or PCAF improved the proliferative capacity of SCs from aged mice in bulk culture, whereas knockdown of histone deacetylases led to a reduction (Fig. 4h). Furthermore, knockdown of the H3K27 demethylases UTX, UTY or Kdm7a promoted the proliferation of aged SCs, which was instead inhibited by knockdown of the PRC2 complex members SUZ12 and Ezh2 (Fig. 4i), the primary protein complex responsible for H3K27me3. Multi-acetylation motifs, as observed in activated SC from aged mice (Fig. 4b,c), are preferred binding sites for bromodomain-containing proteins23. Eight of 11 non-toxic bromodomain inhibitors available from the Structural Genomics Consortium exhibited positive effects on the proliferative capacity of SCs from aged mice (Extended Data Fig. 8c,d, p=4.2×10−4). Targeting major classes of chromatin modifiers by a selected set of siRNAs (Supplementary Table 1) revealed a significant inverse correlation (r = −0.612) between siRNA-mediated changes in Hoxa9 protein expression and the proliferative capacity of SCs from aged mice, with no such effects observed in SCs from young adult mice (Fig. 4j,k). Similarly, siRNAs against MOF and UTX as well as bromodomain inhibitors led to significant decreases of Hoxa9 protein level in activated myofiber-associated SCs from aged mice (Extended Data Fig. 8e–g). In summary, activated SCs from aged mice exhibit site-specific and global aberrations in the epigenetic stress response resulting in Hoxa9 activation and profound negative effects on SC function, which are ameliorated by targeting the respective enzymes underlying these alterations.
By analyzing the downstream effects of Hoxa9 induction through lentiviral-mediated Hoxa9 overexpression, we found a strong reduction in the colony forming and proliferative capacity of SCs from young adult mice (Extended Data Fig. 9a–c). The overexpression of other Hox genes exerted similar effects (Extended Data Fig. 9d) but the results on Hoxa9 are likely of highest relevance for physiological aging since only Hoxa9 was upregulated in activated SCs from aged mice (Fig. 1). The impaired myogenic capacity of SCs in response to Hoxa9 overexpression was associated with increased rates of apoptosis and decreased cell proliferation (Extended Data Fig. 9e–h). Furthermore, Hoxa9 induction associated with the suppression of several cell cycle regulators and induction of cell cycle inhibitors and senescence-inducing genes (Extended Data Fig. 9i) as well as with elevated staining for senescence-associated β-galactosidase (Extended Data Fig. 9j–k). Microarray expression analysis of Hoxa9 overexpressing SCs compared to controls revealed that among the top 12 pathways regulated by Hoxa9 were several major developmental pathways that have previously been shown to impair SC function and muscle regeneration in the context of aging (Fig. 5a, Extended Data Fig. 9l–o; ref. 2,3,5,6,9,24,25). ChIP analysis of putative Hoxa9 binding sites (Supplementary Table 1) in Hoxa9 overexpressing primary myoblasts indicated that a high number of these genes are likely direct targets of Hoxa9 (Extended Data Fig. 9p; cumulative p-value over tested genes: p=1×10−7). Hoxa9 strongly induced downstream targets of the Wnt-, TGFß- and JAK/STAT pathways, but targeted activation of each one of these pathways alone only led to slight changes in the expression of target genes of the other two pathways (Extended Data Fig. 9q–s) suggesting that Hoxa9 acts as a central hub required for the parallel induction of these pathways in aged SCs. Of note, inhibition of STAT3, BMP4 or ß-Catenin by shRNAs as well as pharmacological inhibition of these pathways was sufficient to improve the myogenic colony forming capacity of SCs overexpressing Hoxa9 (Fig. 5b, Extended Data Fig. 10a,b). In line with previous results, knockdown of STAT3 also increased the total number and lowered early differentiation of myofiber-associated SCs from aged mice, and in addition, increased the regenerative capacity of transplanted SCs from aged mice to a similar extend as Hoxa9 knockdown (Extended Data Fig. 10c–g).
Differentially expressed genes were determined using RNA-sequencing data of freshly isolated, in vivo activated SCs from young adult and aged wildtype mice as well as from aged Hoxa9−/− mice. There was a highly significant overlap between genes induced by Hoxa9 overexpression in SCs from young adult mice with those genes that were dysregulated in in vivo activated SCs from aged compared to young adult mice (p=2.2×10−19, Extended Data Fig. 10h). Pathways that are currently known to be associated with SC aging were again among the highest ranked pathways differentially expressed in activated SCs from aged compared to young adult mice including MAPK-, TGFß-, Wnt- and JAK/STAT-signaling (Fig. 5c). Of note, Hoxa9 deletion completely abrogated the separate clustering of gene expression profiles of activated SCs from aged compared to young adult mice (Fig. 5d–e). Comparing transcriptomes of activated SC from aged Hoxa9+/+ to aged Hoxa9−/− mice re-established the separate clustering (Fig. 5f) characterized by enrichment of the same set of developmental pathways that associate with SC aging in wildtype mice (Fig. 5g, compare to Fig. 5c).
Taken together, the current study provides experimental evidence that an aberrant epigenetic stress response impairs the functionality of SCs from aged mice by Hoxa9-dependent activation of developmental signals (Extended Data Fig. 10i). Importantly, a proof of concept is provided that key enzymes that promote global and site-specific alterations in the epigenetic stress response of aged SCs are druggable and that the inhibition of these targets leads to improvement in SC function and muscle regeneration during aging. These findings provide experimental support for the recent hypothesis that a “shadowed” dysregulation of developmental pathways represents a driving force of stem cell and tissue aging26,27.
METHODS
Data reporting
No statistical methods were used to estimate sample size. No randomization was used. No animals were excluded. The evaluator was blinded to the identity of the specific sample as much as the nature of the experiment allowed it.
Mice
We purchased female young adult C57/BL6j mice (3–4 months) and aged C57/BL6J mice (22–28 months) from Janvier (Wildtype mice). Female and male Hoxa9−/− mice have been described28 and were obtained together with age- and gender-matched littermate controls from Kay L. Medina (Mayo Clinic, Rochester, USA). Mice were housed in a pathogen-free environment and fed with a standard diet ad libitum. Animal experiments are approved by the Landesamt für Verbraucherschutz Abteilung Gesundheitlicher und technischer Verbraucherschutz (Germany) under Reg.-Nr. 03-006/13, 03-012/13 and 03-007/15.
Muscle injury
Mice were anaesthetized using isoflurane in air and oxygen through a nose cone. For SC activation, muscles were injured by injecting a total volume of 50 μl of 1.2% BaCl2 (Sigma) into approximately 20 sites in the hindlimb muscles. For regeneration and transplantation experiments, tibialis anterior (TA) muscle of the right leg was injected with 50 μl Cardiotoxin (10 μM, Sigma).
Satellite cell isolation and FACS
Muscles from hindlimbs from young adult or aged mice were dissected and collected in PBS on ice. Muscles were rinsed with PBS, minced with scissors and incubated in DMEM with Collagenase (0.2%, Biochrom) for 90 min at 37°C and 70 rpm. Digested muscles were washed with PBS/10% FBS, triturated and incubated in Collagenase (0.0125%) and Dispase (0.4%, Life Technologies) for 30 min at 37°C and 100 rpm. The muscle slurry was diluted with PBS/10% FBS, filtered through 100 μm cell strainers and spun down at 500 g for 5 min. Cell pellets were resuspended in FACS buffer (HBSS/2% FBS) and filtered through 40 μm cell strainers and pelleted at 500 g for 5 min. Pellets were resuspended in FACS buffer and stained with anti-mouse CD45 PE conjugate (30-F11, eBioscience), anti-mouse CD11b PE conjugate (M1/70, eBioscience), anti-mouse Sca-1 PE conjugate (D7, BioLegend), anti-mouse CD31 PE/Cy7 conjugate (390, BioLegend) and anti-mouse α7-Integrin Alexa Fluor 647 conjugate (R2F2, AbLab) for 20 min at 4°C on a rotating wheel. Cells were washed with FACS buffer. Live cells were identified as calcein blue positive (1:1,000, Invitrogen) and propidium iodide negative (PI, 1 μg/ml, BD Biosciences). SCs were identified as CD45−Sca-1−CD11b−CD31−α7-Integrin+. Cell sorting was performed on a FACSAriaIII with Diva Software (BD).
Culture of SCs
SCs and SC-derived primary myoblasts were cultured at 37°C, 5% CO2, 3% O2 and 95% humidity in growth medium on collagen/laminin coated tissue culture plates for the indicated time periods. Growth medium was comprised of F10 (Life Technologies) with 20% Horse serum (GE), 1% Penicillin/Streptomycin (Life Technologies) and 5 ng/ml bFGF (Sigma). For coating, tissue culture plates were incubated with 1 mg/ml collagen (Sigma) and 10 mg/ml laminin (Life Technologies) in ddH2O for at least 1 h at 37°C and allowed to air-dry. For passaging or FACS analysis, cultured cells were incubated with 0.5 % trypsin/PBS for 3 min at 37°C and collected in FACS buffer. Treatment of SCs with Noggin (Prepotech) or DKK1 (Prepotech) was done at 100 ng/ml concentration. SCs and SC-derived primary myoblasts were treated with 1 μM of chemical probes provided by the Structural Genomics Consortium (SGC, http://www.thesgc.org/chemical-probes/epigenetics)29,30. OICR-9429 and Bromodomain Inhibitors were originally described in 19,31–39.
Clonal myogenesis assay
Freshly isolated SCs from young adult and aged mice were sorted in growth medium in 96-well plates using the automated cell deposition unit (ACDU) of the FACSAriaIII. After 5d, wells containing myogenic colonies were counted by brightfield microscopy. For clonal analysis of lentivirus transduced SCs, infected (EGFP+ and/or BFP+) live (DAPI−) cells were as one cell per well in growth medium and wells containing myogenic colonies were counted by fluorescence microscopy (Axio Observer, Zeiss) after 5d. A colony was defined by the presence of at least two cells.
Alamar blue assay
SCs or SC-derived primary myoblasts were seeded at 500 cells per well in growth medium into 96-well plates. After 4d of culture, the viability was measured by adding Alamar Blue (Life Technologies) as 10% of the sample volume. Cells were incubated for 2h at 37°C and fluorescence intensity was measured at an excitation/emission wavelength of 560/590 nm.
BrdU assay
SCs were incubated with 5 μM BrdU (Sigma) in growth medium for 2h. Cells were fixed with 4% PFA, permeabilized with 0.5% Triton X-100 and incubated with 2N HCl/PBS for 30 min at RT. Incorporated BrdU was detected using anti-BrdU (347580, BD Biosciences) and Alexa-594 fluorochrome (Life Technologies) for 1h at RT. Nuclei were counterstained with DAPI/PBS.
TUNEL assay
TUNEL assay was performed using the In Situ Cell Death Detection Kit, Texas Red (Roche) according to the manufacturer’s instructions.
Senescence-associated ß-Galactosidase assay
SCs were fixed in 4% PFA and stained with staining solution (5 mM potassium ferricyanide, 5 mM potassium ferrocyanide, 2 mM MgCl2, 150 mM NaCl, 1 mg/ml X-Gal) in citrate/sodium-phosphate buffer (pH 6) overnight at 37°C. Statining solution was removed by rinsing several times with PBS.
Myofiber isolation and culture
Individual myofibers were isolated from the extensor digitorum longus (EDL) muscle as described previously40,41. Isolated myofibers were cultured in DMEM containing 20% FBS and 1% chicken embryo extract (Biomol) in dishes coated with Horse Serum. Freshly isolated fibers or fibers cultured for 24–34h and 72h were fixed with 2% PFA and subjected to immunofluorescence analysis. Clusters of SCs were counted on at least 10–15 fibers per replicate. A cluster was defined by the presence of at least three adjacent cells. For quantification of immunofluorescence staining of myofiber-associated quiescent and activated SCs, at least 20 fibers were analyzed per replicate. Treatment of myofiber-associated SCs with chemical probes provided by the Structural Genomics Consortium (SGC) was done 4h after isolation at 1 μM concentration.
siRNA transfection
Transfection of SCs was performed in a reverse manner: SCs were seeded in growth medium into individual wells of a 384-well plate pre-filled with transfection mix. For floating cultures of single myofibers, transfections were performed 4h after isolation in myofiber culture medium. Transfections were done using Lipofectamin RNAiMAX (Life Technologies) according to manufacturer’s instructions. For gene knockdown either Silencer Select siRNAs (Life Technologies) or ON-TARGETplus siRNA SMART-pools (Dharmacon) were used. Respective Silencer Select or ON-TARGETplus SMART-pool non-targeting siRNA were used as negative control. siRNA sequences are found in Supplementary Table 1. Transfection efficiency was monitored using a Cy3-labeled control siRNA (Life Technologies). After transfection, FACS-sorted SCs or myofiber-associated SCs were cultured for the indicated time periods and fixed in 2 % PFA/PBS. In vivo knockdown experiments were performed as described earlier41. siRNA sequences were modified to the Accell self-delivering format (Dharmacon) and 100 μg Accell siRNA were injected into TA muscles 2d after CTX injury. In vivo knockdown was evaluated from SCs isolated from injected TA 3d post transfection. Transfected muscles were harvested 5d after siRNA injection, frozen in 10% sucrose/O.C.T. in liquid nitrogen and stored at −80°C.
Lentivirus production and transduction
Lentivirus was produced in Lenti-X cells (Clonetech) after co-transfection of 15 μg shRNA plasmid, 10 μg psPAX2 helper plasmid and 5 μg pMD2.G according to standard procedures42. Virus was concentrated by centrifugation for 2.5h at 25,000 rpm and 4°C, and virus pellet was resuspended in sterile PBS. Lentiviral transduction was carried out in growth medium supplemented with 8 μg/ml Polybrene (Sigma).
Plasmids
cDNA was inserted into the SF-LV-cDNA-EGFP plasmid43. Primers used for cloning of individual Hox cDNAs are listed in Supplementary Table 1. shRNA was inserted into the SF-LV-shRNA-EGFP plasmid using mir30 primers (Supplementary Table 1). shRNA sequences are listed in Supplementary Table 1.
Satellite cell transplantation
SCs were FACS purified and transduced with a lentivirus on Retronectin (Takara) coated 48-well plates4. After 8–10h, SCs were harvested by resuspension and washed several times with FACS buffer. For each engraftment, 10,000 SCs were resuspended in 0.9% NaCl and immediately transplanted into TA muscles of adult immunosuppressed mice that had been injured with CTX 2d before. Immunosuppression with FK506 (5 mg/kg body weight, Sigma) was started at the day of injury using osmotic pumps (model 2004, Alzet) and maintained throughout the entire time of engraftment. Engrafted muscles were harvested 3 weeks after transplantation and fixed in 4% PFA for 30 min at RT followed by incubation in 30% sucrose/PBS overnight at 4°C. Fixed muscles were frozen in 10% sucrose/O.C.T. in liquid nitrogen, stored at −80°C.
Immunohistochemistry
Cryosections of 10 μm were cut from frozen muscle using the Microm HM 550. Cryosections were rinsed once with PBS and fixed in 2% PFA in PBS for 5 min at RT. Sections were rinsed three times for 5 min with PBS, permeabilized with 0.5 % Triton X-100/0.1 M Glycine in PBS for 5 min at RT followed again by rinsing them three times with PBS. Sections were blocked in PBS supplemented with 5 % Horse serum and 1:40 Mouse on mouse blocking reagent (Vector labs) for 1 h at RT. Incubation with primary antibodies was carried out overnight at 4°C. The next day, sections were rinsed three times with PBS followed by incubation with secondary antibodies for 1 h at RT. Sections were rinsed again with PBS and nuclei were counterstained with 1:1,000 DAPI/PBS before mounting with Permaflour (Thermo Scientific). Slides were stored at 4°C until analysis. The following primary antibodies were used: 1:1,000 chicken anti-GFP (ab6556, AbCam), 1:1,000 rabbit anti-Laminin (L9393, Sigma), 1:200 rabbit anti-Ki67 (ab15580, AbCam), undiluted mouse anti-Pax7 (DSHB). The following secondary antibodies were used at 1:1,000 concentration: anti-chicken IgG Alexa-Fluor 488, anti-rabbit IgG Alexa-Fluor 488, anti-mouse IgG1 Alexa-Fluor 594 (Life Technologies).
Immunofluorescence
Freshly isolated SCs were allowed to settle on poly-L-lysine coated diagnostic microscope slides for 30 min at RT. All cells and myofibers were fixed with 2% PFA/PBS, permeabilized with 0.5% Triton X-100/PBS and blocked with 10 % Horse Serum/PBS for 1h at RT. Cells and fibers were stained with primary antibodies in blocking solution overnight at 4°C. Samples were washed three times with PBS and incubated with secondary antibodies for 1h at RT. Nuclei were counterstained with DAPI/PBS. Cultured cells were kept in PBS; freshly isolated SCs and myofibers were mounted with Permaflour. The following primary antibodies were used: undiluted mouse anti-Pax7 (DSHB), 1:300 rabbit anti-Hoxa9 (07-178, Millipore), 1:500 mouse anti-MLL1 (05-765, Millipore), 1:500 rabbit anti-WDR5 (A302-429A, Bethyl Laboratories), 1:300 rabbit anti-H3K4me3 (C15410003-50, Diagenode), 1:200 rabbit anti-MyoD (sc-304, Santa Cruz). The following secondary antibodies were used at 1:1,000 concentration: anti-rabbit IgG Alexa-Fluor 488, anti-mouse IgG Alexa-Fluor 594, anti-mouse IgG1 Alexa-Fluor 594 (Life Technologies).
Fluorescence in situ hybridization (FISH)
Chromatin compaction FISH was done as described previously44. DNA of the 3′- and 5′ probe (Fosmid clones WIBR1-1312N03 and WIBR1-2209G09, CHORI) was labeled with digoxigenin or biotin by nick-translation (Roche). 100 ng of probe DNA was used per slide, together with 5 μg mouse CotI DNA (Life Technologies) and 5 μg sssDNA (Ambion). 5,000 freshly sorted SCs were allowed to settle on poly-L-lysine coated diagnostic microscope slides for 30 min at RT and were fixed with 2% PFA/PBS for 5 min. After washing three times with PBS, slides were incubated with 0.1M HCl for 5 min and permeabilized with 0.5% Triton in 0.5% Saponin/PBS for 10 min before freeze-thaw in 20% glycerol/PBS. Denaturation was performed in 50% formamide, 1% Tween-20 and 10% Dextran Sulfate/2× SSC for 5 min at 75°C before applying the hybridization cocktail. Probes were hybridized overnight at 37°C in a humified chamber. Slides were rinsed three times with 2× SSC, blocked with 2% BSA in 0.1% Tween-20/PBS for 1h at RT, and hybridized probes were visualized with anti-Digoxigenin-Rhodamine (S7165, Millipore) and Streptavidin-Cy2 (016-220-084, IR USA) for 30 min at RT. Nuclei were counterstained with DAPI.
Digital image acquisition and processing
Immunofluorescence images of muscle sections, myofibers and freshly isolated SCs were acquired using the upright microscope Axio Imager (Zeiss) with 10×, 20× and 100× objectives and a monochrome camera. Brightfield and immunofluorescence images of cultured SCs were captured using the microscope Axio Observer (Zeiss) with 5×, 10× and 20× objectives and a monochrome camera. Image acquisition and processing was performed using the ZEN 2012 software (Zeiss). Brightness and contrast adjustments were applied to the entire image before the region of interest was selected. For the analysis of muscle sections, several images covering the whole area of the section were acquired in a rasterized manner and assembled in Photoshop CS6 (Adobe) to obtain an image of the entire section. Images were analyzed using Image J software. The number of Pax7+ cells in regeneration experiments was normalized to the area of the entire muscle section. Corrected total cell fluorescence (CTCF) was determined for each SC using the calculation:
Integrated Density − (Area of selected cell × Mean fluorescence of background readings)45.
RNA isolation and Reverse Transcription
Total RNA was isolated from freshly FACS-isolated or cultured SCs by using the MagMAX 96 total RNA Isolation Kit (Ambion) according to the manufacturer’s protocol. The GoScript Reverse Transcription System (Promega) was used for cDNA synthesis from total RNA according to manufacturer’s instructions.
Chromatin-Immunoprecipitation (ChIP)
5×104–1×105 cells were crosslinked in 1% formaldehyde (Thermo Scientific) for 10 min. Crosslinking was quenched with Glycine and cells were washed two times with ice cold PBS. For ChIP of H3K4me3 cells were lysed in Lysis-Buffer (1% SDS, 10mM EDTA, 50mM Tris-HCl pH 8.1, 1× Roche cOmplete Protease Inhibitor) and chromatin was sonicated in Snap Cap microTUBEs using Covaris M220 sonicator to a fragment size of 150 to 300 bp. Chromatin was cleared for 10 min at 17,000 g and 1/10th of chromatin was removed as input fraction. Chromatin was immunoprecipitated overnight with 20 μl Protein A/G bead mix (1:1, Dynabeads®, Invitrogen) pre-coupled with 1 μg antibody (C15410003-50, Diagenode) in ChIP-dilution buffer (0.01% SDS, 1.1% Triton X-100, 1.2mM EDTA, 167mM NaCl, 16.7mM Tris-HCl pH 8.1, 1× Roche Complete Protease Inhibitor). Beads were washed 3 times with Low-Salt buffer (0.1% SDS, 1% Triton X-100, 2mM EDTA, 150mM NaCl, Tris-HCl pH 8.1) and three times with LiCl buffer (350mM LiCl, 1% IPEGAL CA630, 1% deoxycholic acid, 1mM EDTA, 10mM Tris-HCl pH 8.1). For ChIP of Mll1, Wdr5 or HA-tagged Hoxa9 cells were resuspended in Sonication buffer (0.1% SDS, 1% Triton X-100, 0.1% Na-deoxycholate, 1 mM EDTA, 140 mM NaCl, 50 mM Hepes pH 7.9), incubated on ice for 10 min and sonicated to a fragment size of 300 to 600 bp as described above. Chromatin was cleared for 10 min at 17,000 g and unspecific binding was absorbed with 5 μl of Protein G beads for 1 h. 1/10th (Mll1/Wdr5) or 1/20th (HA-tag) of chromatin was removed as input fraction. Chromatin was immunoprecipitated overnight with 2 μg of antibody (Mll1: A300-086A, Wdr5: A302-429A, Bethyl Laboratories; HA-tag: ab9110, Abcam). Chromatin-antibody complexes were captured with 20 μl Protein A/G bead mix (1:1, Dynabeads®, Invitrogen) for 2 h. Beads were washed two times with Sonication buffer, two times with NaCl buffer (0.1% SDS, 1% Triton X-100, 0.1% Na-deoxycholate, 1 mM EDTA, 500 mM NaCl, 50 mM Hepes pH 7.9), two times with LiCl buffer and one time with TE buffer. Decrosslinking and elution was performed in 50 μl Decrosslinking buffer (1% SDS, 100mM NaHCO3, 250mM NaCl) for 4h at 65°C with continuous shaking and subsequent Proteinase K treatment for 1h at 45°C. DNA was purified using Agencourt AMPure XP beads (Beckman Coulter) with a beads:sample ratio of 1.8 or MinElute PCR Purification Kit according to manufacturer’s protocols.
Quantitative Real-Time PCR
Quantitative Real-Time PCR (qRT-PCR) was performed with an ABI 7500 Real-Time PCR System (Applied Biosystems) in technical duplicates from the indicated number of biological replicates. The qRT-PCR was carried out in a volume of 12 μl using the Absolute qPCR Rox Mix (Thermo Scientific) and the Universal Probe Library (Roche). Primer and probe sets for the detection of single genes are listed in Table S4. GAPDH was detected with Rodent GAPDH Control Reagents (Applied Biosystems). Relative expression values were calculated using the ΔCt method.
ΔCt = Ct [gene of interest] − Ct [GAPDH]
Relative expression = 2(−ΔCt).
qRT-PCR analysis of ChIP samples was performed using SYBR Green Supermix (Biorad) in a final reaction volume of 10 μl and 0.75 μM final primer concentration. Primers are listed in Table S1. HA-tag ChIP signals were calculated as % of the input fraction. The ΔΔCt Method was used to calculate fold enrichment of a genomic locus over the ChIP specific background control (Actb intergenic region for H3K4me3 or gene dessert for Mll1 and Wdr5), both normalized to the signal in the input fraction:
ΔCt [normalized to Input] = (Ct [ChIP] – (Ct [Input] – Log2 (Input Dilution Factor))).
ΔΔCt = ΔCt [region of choice normalized to Input] – ΔCt [control region normalized to Input].
Fold enrichment = 2(−ΔΔCt).
Nanostring analysis
Pellets of freshly isolated SCs were lysed with 3 μl RLT buffer (QIAGEN) and subjected to Nanostring analysis according to manufacturer’s instructions using a custom-made Hox gene nCounter Elements™ TagSet (Nanostring Technologies). Relative expression to the housekeeping genes GAPDH, Hydroxymethylbilane synthase (HMBS) and RNA polymerase II subunit A (Polr2a) was calculated using nSolver Software (v2.0) after background correction and normalization to hybridized probe signals.
Proteomic analysis of histone modifications
Preparation of histones for mass spectrometry, data acquisition and analysis was essentially performed as described in 21 with modifications described below. In brief, histones were isolated by acid extraction, derivatised by d6-acetic anhydride (CD3CO, Aldrich) and digested with sequencing-grade trypsin (Promega) over night at a trypsin:protein ratio of 1:20. To acetylate free peptide N-termini, trypsinised histones were derivatised again for 45 minutes at 37°C using 1:20 v/v d6-acetic anhydride (CD3CO, Aldrich) in 50 mM ammonium bicarbonate buffered to pH 8 by ammonium hydroxide solution. After derivatization, peptides were evaporated in a speed-vac at 37°C to near dryness, resuspended in 50 μl of 0.1 formic acid and purified by a StageTip protocol using two discs of C18 followed by one disc of activated carbon (3M Empore). After StageTip purification, the samples were evaporated in a speed-vac to near dryness, resuspended in 20 μl of 0.1% formic acid and stored at −20°C until mass spectrometry acquisition. The histone samples were separated on a reversed-phase liquid chromatography column (75-μm, New Objective) that was packed in-house with a 15-cm stationary phase (ReproSil-Pur C18-AQ, 1.9 μm). The column was connected to a nano-flow HPLC (EASY-nLC 1000; Thermo Scientific) and peptides were electrosprayed in a Q Exactive mass spectrometer (Thermo Fisher Scientific, Waltham, MA, USA). Buffer A was composed of 0.1 % formic acid in HPLC-grade water and buffer B was 0.1 % formic acid in ACN. Peptides were eluted in a linear gradient with a flow rate of 300 nl per minute, starting at 3% B and ramping to 35% in 52 minutes, followed by an increase to 50% B in 4 minutes, followed by an increase to 98% in 4 minutes and then holding at 98% B for another 6 minutes. MS was operated in a combined shotgun-PRM mode targeting positional isomers. Ion chromatograms were extracted with Thermo Xcalibur and Skyline and data summarization and statistical analysis was performed in Excel and R. Relative abundances were calculated from the raw signal reads, according to the formulas described in 21 without further normalisations.
Microarray and bioinformatics analysis
Gene expression analysis was performed using the Mouse GE 8×60K Microarray Kit (Agilent Technologies, Design ID 028005). 100 ng total RNA isolated from SCs were used for the labeling. Samples were labeled with the Low Input Quick Amp Labeling Kit (Agilent Technologies) according to the manufacturer’s instructions. Slides were scanned using a microarray scanner (Agilent Technologies). Expression data were extracted using the Feature Extraction software (Agilent Technologies). Preprocessing of expression data was performed according to Agilent’s standard workflow. Using 5 quality flags (gIsPosAndSignif, gIsFeatNonUnifOL, gIsWellAboveBG, gIsSaturated, and gIsFeatPopnOL) from the Feature Extraction software output, probes were labeled as detected, not detected, or compromised. Gene expression levels were background corrected, and signals for duplicated probes were summarized by geometric mean of non-compromised probes. After log2 transformation, a percentile shift normalization at the 75% level and a baseline shift to the median baseline of all probes was performed. All computations were performed using the R statistical software framework (http://www.R-project.org). Differentially expressed genes were calculated by the shrinkage T-statistic46 and controlled for multiple testing by maintaining a FDR < 0.0547.
RNA-sequencing analysis
Sequencing reads were filtered out for low quality sequences and trimmed of low quality bases by using FASTX-Toolkit (http://hannonlab.cshl.edu/fastx_toolkit/). Mapping to mm9 genome was performed by using TopHat software48. Gene quantification was performed by using HT-Seq and differentially expressed genes (DEGs) were estimated by using DESEQ249,50 within the R statistical software framework (http://www.R-project.org) with p<0.01. Pearson correlation heatmaps were generated by using custom R scripts by selecting genes having more than 10 read counts in all the samples of at least one condition and an interquartile range (IQR) > 0.5. Significance of overlapping DEGs was calculated by normal approximation of hypergeometric probability.
Identification of Hoxa9 binding sites
Transcription start and end sites of putative Hoxa9 target genes were collected from the UCSC Genome Browser51 with mm8 track. Sequences in gene body regions (from transcription start to end sites), promoter regions (−2/+1 kb relative to transcription start sites), and distal intergenic regions (−50/+50 kb relative to transcription start sites) of 26 genes were prepared for identification of Hoxa9 binding sites. These sequences were aligned based on the previously reported consensus motifs for Hoxa9-Meis1-Pbx1 (ATGATTTATGGC)52 and Meis1 (TGTC)53. Putative Hoxa9 binding sites were aligned when they contained either no mismatch or one mismatch, and Meis1 motifs were aligned with no mismatch allowed. Hoxa9 binding sites with at least one Meis1 binding site within 300 bp on the same DNA strand were selected for further analysis. Identified Hoxa9 binding sites are listed in Table S5.
Statistics
If not stated otherwise, results are presented as mean with standard error (s.e.m.) from the number of samples indicated in the figure legends. Two groups were compared by two-sided student’s t-test or two-sided Mann-Whitney U-test. For multiple comparisons a two-way analysis of variance (ANOVA) was performed using a FDR < 0.5 to correct for multiple comparisons. Statistical significance was set at *, p<0.05; **, p<0.01; ***, p<0.001; ****, p<0.0001; with ns, not significant. Statistical analysis was done using GraphPad Prism 6 software and R (v3.3.1).
Extended Data
Supplementary Material
Acknowledgments
We thank Y. Morita and A. Illing for providing guidance regarding FACS analysis. We are thankful to the FLI Core Facilities Functional Genomics (T. Kroll, A. Ploubidou) and DNA Sequencing (M. Groth) for their services. We express our thanks to M. Burkhalter, T. Sperka and A. Illing for constructive discussions and suggestions. We are grateful to B. Wollscheid and S. Goetze for providing support for proteomic measurements. We thank V. Sakk and M. Kettering for mouse husbandry as well as S. Eichwald, K. Tramm and A. Abou Seif for experimental assistance. We are grateful to M. Kessel, M. Kyba, G. Sauvageau and D. Wellik for sharing plasmids with Hox cDNAs. We thank the Structural Genomics Consortium and S. Ackloo for providing access to the epigenetic probe library. We further thank M. Cerletti for providing protocols on SC isolation and E. Perdiguero for advice on infection of SCs prior to transplantation. Work on this project in KLR’s laboratory was supported by the DGF (RU-745/10, RU-745/12), the ERC (2012-AdG 323136), the state of Thuringia, and intramural funds from the Leibniz association. J.V.M. was supported by a grant from the DFG (MA-3975/2-1). C.F. acknowledges support by the DFG (FE-1544/1-1) and EMBO (long-term postdoctoral fellowship ALTF 55-2015). R.A. was supported by the ERC (AdvGr 670821 (Proteomics 4D)). The funding for the Hoxa9−/− mice to K.L.M. was provided by a grant of the NIH (HL096108). R.R. was supported by a grant from the NIH (R01GM106056). This work was further supported by grants to H.A.K. from the DFG (SFB 1074 project Z1), the BMBF (Gerontosys II, Forschungskern SyStaR, project ID 0315894A), and the European Community’s Seventh Framework Programme 390 (FP7/2007-2013, grant agreement n◦602783).
Footnotes
AUTHOR CONTRIBUTIONS
S.S. designed and performed the majority of experiments, analyzed data, interpreted results and wrote the manuscript. F.B. designed and performed ChIP and FISH experiments, analyzed data, interpreted results and wrote the manuscript. C.F. and R.A. designed and performed LC-MS experiments, analyzed data, interpreted results and wrote the manuscript. A.H.B., U.K., H.H., C.S.V. and M.S. performed individual experiments and analyzed data. A.L. performed microarray experiment. D.B.L. provided support and suggestions for ChIP experiments. K.L.M. provided Hoxa9−/− mice. J.M.K. and H.A.K. performed microarray and pathway analysis, analyzed putative Hoxa9 binding sites and provided support for statistical analysis. B.X. and R.R. conducted analysis of putative Hoxa9 binding sites. F.N. analyzed RNA-sequencing data and performed correlation analysis. J.V.M. and S.T. conceived the project, designed and performed experiments, interpreted results and wrote the manuscript. K.L.R. conceived the project, designed experiments, interpreted results and wrote the manuscript.
DATA AVAILABILITY STATEMENT
Microarray and RNA-sequencing data that support the findings of this study have been deposited in GEO with the accession code GSE87812. Further data that support the findings of this study are available from the corresponding authors upon reasonable request. Source data for Figures and Extended Data Figures are provided with the paper.
The authors declare no conflict of interest.
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