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Limb-girdle muscular dystrophy type 2A (LGMD2A) is a genetic disease that is caused by mutations in the calpain 3 gene (CAPN3), which encodes the skeletal muscle–specific calpain, calpain 3 (also known as p94). However, the precise mechanism by which p94 functions in the pathogenesis of this disease remains unclear. Here, using p94 knockin mice (termed herein p94KI mice) in which endogenous p94 was replaced with a proteolytically inactive but structurally intact p94:C129S mutant protein, we have demonstrated that stretch-dependent p94 distribution in sarcomeres plays a crucial role in the pathogenesis of LGMD2A. The p94KI mice developed a progressive muscular dystrophy, which was exacerbated by exercise. The exercise-induced muscle degeneration in p94KI mice was associated with an inefficient redistribution of p94:C129S in stretched sarcomeres. Furthermore, the p94KI mice showed impaired adaptation to physical stress, which was accompanied by compromised upregulation of muscle ankyrin-repeat protein-2 and hsp upon exercise. These findings indicate that the stretch-induced dynamic redistribution of p94 is dependent on its protease activity and essential to protect muscle from degeneration, particularly under conditions of physical stress. Furthermore, our data provide direct evidence that loss of p94 protease activity can result in LGMD2A and molecular insight into how this could occur.
Limb-girdle muscular dystrophy (LGMD) is a genetically heterogeneous group of disorders involving progressive muscle weakness and atrophy of the truncal and proximal limb muscles, elevated serum creatine kinase (CK) levels, and dystrophic changes visible in muscle biopsy sections (1–4). To date, 452 distinct pathogenic mutations of the CAPN3 gene, which encodes p94/calpain 3, have been found in LGMD2A patients (5, 6). p94 is a member of the calpain family, which consists of Ca2+-requiring intracellular cysteine proteases that cleave their substrates at a few specific sites to modulate the substrate’s function (7, 8). The mutations of the p94-encoding CAPN3 gene are distributed along the entire length of the gene product and include missense, nonsense, frame-shift, and deletion mutations (3, 6, 9–11). These findings, as well as p94 Tg (12) and KO mouse studies (13, 14), indicate that p94 plays an essential role(s) in skeletal muscle. However, the precise mechanism by which the diverse p94 mutations contribute to the LGMD2A pathology is still largely unknown.
In myofibrils, p94 directly interacts with connectin/titin at the M-line and N2A regions (15), where multiple protein complexes that use connectin/titin as a scaffold form. These complexes are thought to associate with myofibrillar signal–transduction systems (16). In the N2A region of connectin/titin, a binding site for muscle ankyrin repeat proteins (MARPs), which are stress-response transcriptional regulator proteins, overlaps with that for p94, and MARP2/Ankrd2 is proteolyzed by p94 with the structural aid of connectin/titin, which may modulate stress-dependent signal transduction (17, 18). Our previous in vitro study demonstrated that p94 shifts its location from the M-line to the N2A region when the sarcomere is extended, suggesting that p94 functions as a sarcomere-length sensor in cooperation with connectin/titin (19) to mediate signal transduction in response to external stress.
Here, we hypothesized that the p94 protease activity is essential for the signal-transduction pathway by which muscles adapt to physical stress, the perturbation of which leads to LGMD2A. To test this hypothesis, we generated p94:C129S knockin (p94KI) mice that express a protease-inactive p94 mutant in place of WT p94. The p94KI mice, in contrast to conventional KO (p94KO) mice, express a p94:C129S protein with an intact structure under the control of the endogenous p94 promoter. The p94KI mice showed MD phenotypes, which were exacerbated by exercise. Importantly, our results showed that the p94 protease activity contributed to the dynamic change in the distribution of p94 in myocytes in response to sarcomere conditions and its loss impaired a stress-response pathway involving MARPs and hsp. Thus, our p94KI mouse enabled us to assess the loss of p94 protease function in skeletal muscle without superimposing potential structural defects and provided evidence linking the dysfunction of p94 with the LGMD2A pathological mechanism.
To address the role of p94 in LGMD2A pathogenesis, we created mice that expressed p94:C129S in place of WT p94 (Supplemental Figure 1; supplemental material available online with this article; doi: 10.1172/JCI40658DS1). The resultant p94KI mice were fertile, with a normal lifespan. However, the skeletal muscles (tibialis anterior [TA] and soleus) of the p94KI mice showed typical MD symptoms, such as split myofibers and centrally located nuclei, and this pathology was exacerbated with age (Figure (Figure1,1, A–J). The proportion of centrally nucleated myofibers (CNM) in both the TA and soleus of p94KI mice was significantly higher than in WT mice (Figure (Figure1,1, K and L). The average myofiber cross-sectional areas (CSArs) in the soleus muscles of WT and p94KI mice at more than 90 weeks of age were 1,542 μm2 and 1,342 μm2, respectively, which were significantly different (P < 0.01) (Figure (Figure1M).1M). The serum CK level, another typical marker for MD indicative of muscle membrane damage, was not significantly different between the p94KI and WT mice, demonstrating that no significant membrane damage occurred in the p94KI mice (Figure (Figure1N).1N). The ultrastructure of the p94KI mouse muscle was also normal and not markedly different from that of WT mice (Figure (Figure1,1, O and P). Thus, the p94KI mice had a gradually progressive MD phenotype that worsened with age without severe sarcolemmal disruption. In contrast, both human patients with CAPN3-null mutations and p94KO mice show a more severe MD phenotype (9, 10, 13, 14). This difference in disease severity between these cases of MD and that seen in the p94KI mice suggests that p94 has functions other than its role in proteolysis that are involved in MD pathology.
In humans, eccentric exercise has been shown to cause p94 autolysis (20). This observation suggests that the p94 protease activity plays a role in the adaptive response of muscles to exercise. Therefore, we next investigated whether exercise affects MD pathogenesis in p94KI mice. We subjected p94KI and WT mice to downhill treadmill running and assessed the biochemical and pathological changes in their skeletal muscles. Immunoblot analysis revealed that p94 underwent proteolysis during exercise (Figure (Figure2,2, A and B) and that its distribution shifted from the precipitate (Ppt; myofibril) to the supernatant (Sup; cytosol) fraction in WT but not in p94KI mice during exercise (Supplemental Figure 2). The degeneration of myofibers due to membrane disruption, as revealed by the incorporation of Evans blue dye (EBD), was clearly observed in the exercised p94KI (p94KI-ex) mice but was barely detectable in the exercised WT (WT-ex) mice (Figure (Figure2,2, C–N). EBD-containing myofibers were observed among all the CSAr classes in the p94KI-ex muscle, indicating that membrane disruption was not exacerbated in particular classes of muscle fibers (Supplemental Figure 3). Consistent with these findings, the serum CK level in the p94KI-ex mice was significantly higher than in the WT-ex or unexercised p94KI mice (Figure (Figure2O).2O). The proportion of CNMs was also significantly increased in the p94KI but not WT mice 10 days after exercise (Figure (Figure2,2, P and Q). These results clearly indicate that the p94 protease activity is required to protect myofibers from undergoing degeneration under exercise-induced stress.
Skeletal muscles have the ability to self repair rapidly in response to injury or disease (21). After exercise, the damaged muscles in the p94KI mice began to regenerate (Supplemental Figure 4). The infiltration of mononuclear cells into the injured muscle was observed on postexercise days 1–3, and regenerating thin myofibers were observed on postexercise day 10, although these myofibers were heterogeneous, with the appearance of dystrophic degeneration. These results suggested that a lack of p94 proteolytic activity does not affect the regenerative potential of satellite cells.
To understand the molecular mechanisms by which p94 protects muscles, we analyzed the intracellular behavior of p94. We previously demonstrated that p94 has a stretch-dependent distribution (19) and that it associates physically and functionally with sarcomeric proteins, including connectin/titin and MARP2 (17). We therefore compared the dynamic behavior of p94 in WT and p94KI mouse myocytes using fluorescence recovery after photobleaching (FRAP) with GFP-tagged WT p94 and p94:C129S (GFP-p94WT and GFP-p94CS) expressed in primary cultured myotubes from WT and p94KI mice. The GFP signals for both GFP-p94WT and GFP-p94CS were predominantly detected at the M-line of connectin/titin (ref. 19 and Figure Figure3,3, A and B). The FRAP experiments revealed that the GFP-p94WT proteins at the M-line were dynamically mobile, with a recovery t1/2 of 66.5 s (Figure (Figure3C).3C). This turnover rate was nearly as rapid as that of the α-actinin fast mobile fraction (t1/2 = 61 ± 11 s) (22). Notably, GFP-p94CS showed a significantly longer recovery t1/2 (129 s) than GFP-p94WT (Figure (Figure3C;3C; Supplemental Figures 5 and 6). These results indicated that p94 is dynamically located in the strictly organized sarcomere and that its mobility rate is fine tuned by its protease activity.
Many myofibril-associated proteins that display a dynamic distribution within myofibers are mechanically sensitive and are thought to play an important role in the adaptive response to mechanical perturbation (23). Therefore, we further investigated the dynamic behavior of p94 in response to mechanical loading. We previously reported that the myofibrillar localization of exogenously expressed p94 shifts from the M-line to the N2A region of connectin/titin during sarcomeric stretch, using cultured myocytes (19). Consistent with this result, we found that p94 was predominantly located at the N2A region of stretched sarcomeres in both WT and p94KI mice (Figure (Figure3,3, D–O). Importantly, the M/N2A ratio of p94 became smaller as the sarcomeres stretched (Figure (Figure3P).3P). This means that as the sarcomeres extend, p94 tends to accumulate in the N2A region. These results indicate that the amount of p94 that dynamically redistributes from the M-line to the N2A region can quantitatively reflect the exercise load of myofibers. Importantly, in p94KI mice, the accumulation of p94 in the N2A region during sarcomeric extension took significantly longer than in WT, indicating that the p94 protease activity is required for p94’s rapid dynamic redistribution in response to mechanical loading.
What is the significance of the p94 redistribution from the M-line to the N2A region in LGMD2A pathogenesis? Given the importance of the connectin/titin N2A region as a scaffold for various signaling molecules (18, 24), we hypothesized that the exercise-dependent redistribution of p94 regulates signaling molecules at the N2A region, inducing an adaptive response to protect muscles from exercise-induced degeneration. To test this hypothesis, we focused on MARP2/ANKRD2, since MARP2 interacts directly with connectin/titin at the N2A region (15, 25), where it competes with p94 (17). In addition, MARP2’s expression is sensitive to muscle conditions (26, 27), and it modulates transcription factors such as YB1, PML, and p53 by binding them (28). Consistent with these reports, we observed that the MARP2 protein was increased in WT-ex mice compared with WT mice (Figure (Figure4,4, A and B; Supplemental Figure 7). In contrast, the p94KI-ex mice showed a significant decrease in MARP2 in comparison with all the other types of mice. This impairment in MARP2 induction upon exercise was also confirmed by immunohistochemical analysis (Figure (Figure4,4, C–N; Supplemental Figure 8). MARP2-positive nuclei were found in WT, p94KI, WT-ex, and p94KI-ex mice as 2.3%, 1.3%, 14%, and 4.8% of the total nuclei, respectively. These were confirmed to be myonuclei and did not originate from satellite cells (Supplemental Figure 9). These results suggested the important notion that the p94 protease activity is required for MARP2 induction in response to exercise.
Next, we determined whether the MARP2 induction upon exercise has a role in preventing muscle degeneration. WT and p94KI mice, into which EBD was injected before exercise, were subjected to downhill running on a treadmill and sacrificed immediately after the exercise. In the WT-ex mice, EBD was incorporated into several myofibers in which MARP2 expression was induced, although not all the MARP2-positive myofibers were positive for EBD (Figure (Figure5,5, A–C). Even in the EBD-positive myofibers, the localization of dysferlin was normal (Figure (Figure5,5, G–I), indicating that the sarcolemma was not markedly disrupted, as previously reported (29, 30). In contrast to the WT-ex mice, in the p94KI-ex mice, the myofibers that were positive for EBD showed weaker MARP2 signals and abnormal dysferlin localization (Figure (Figure5,5, D–F and J–L). These results indicated that the exercise provoked plasma membrane disruption and myofiber degeneration in the p94KI mice.
To further examine pathophysiological alterations in p94KI mice, we analyzed their proteomes using TA muscles from WT, WT-ex, p94KI, or p94KI-ex mice with the iTRAQ/LC-MALDI systems. Among 660 proteins identified, 44 were upregulated (p94KI/WT > 1.2) and 18 were downregulated (WT/p94KI > 1.2) in p94KI mice compared with WT (Supplemental Figure 10). DNA microarray analysis showed that mRNA levels of these proteins were unchanged with a few exceptions (Supplemental Figure 10 and Supplemental Table 1), indicating that these changes were largely at the protein level. Surprisingly, the amounts of all of proteins upregulated in p94KI were increased (or unchanged), and not decreased, in WT-ex mice compared with WT with only one exception; in contrast, proteins downregulated in p94KI were decreased (or unchanged) in WT-ex (compare p94KI/WT and WT-ex/WT in Supplemental Figure 10). This synchronicity strongly suggests that molecular conditions in the cytosol of cells that have been altered by p94:C129S mutation are nearly identical to those in the WT-ex mice. To reveal the underlying molecular mechanisms, we classified the expression profiles as indicated in Table Table11 by focusing on proteins that responded to exercise differentially in WT and p94KI mice, i.e., categories [WT↑ and p94KI → or ↓] and [WT↓ and p94KI↑ or →] in Table Table1. 1.
These categories correspond to proteins that are up- or downregulated by exercise in WT mice but that failed to be altered in p94KI mice. Notably, MARP2 and –10 of the 13 identified hsp-related molecules (including 6 small hsp [sHSP], important for muscle cell homeostasis; ref. 19) were included in category [WT↑ and p94KI → or ↓]. MARP2 data is consistent with the above Western blot analysis. Other proteins in category [WT↑ and p94KI → or ↓] included hexokinase 2, a rate-limiting enzyme for glycolysis, factors involved in protein translation, and proteasome subunits, which may contribute to the turnover of muscle cells (see Supplemental Figure 10 legend). These results suggest that p94 protease activity regulates the levels of the proteins in categories [WT↑ and p94KI → or ↓] and [WT↓ and p94KI↑ or →] with exercise.
Altogether, our results support the idea that p94 plays an important role in MD pathogenesis, particularly in the exercise-mediated exacerbation of MD, through its dynamic spatial configuration–dependent regulation of MARP2 expression and protein-level upregulation of hsp.
Using p94KI mice, here we present the first direct and conclusive evidence that the loss of p94 protease activity causes LGMD2A, which is aggravated by age or exercise. We showed that in myocytes, the loss of p94 protease activity causes (a) a slow exchange rate of p94 molecules at the M-line, (b) sluggish accumulation of p94 at the N2A region in response to sarcomeric extension, and (c) impaired upregulation of MARP2 and hsp levels in response to physical stress. Our results support the idea that p94 protease activity plays a key role in the pathogenesis of LGMD2A.
Consistent with our previous in vitro observations (19), p94 changed its in vivo location from the M-line to the N2A region as sarcomeres lengthened, indicating that it undergoes a sarcomere-length–dependent redistribution in vivo. Importantly, the swiftness of p94’s redistribution was dependent on its protease activity. Furthermore, our FRAP study showed that the M-line/cytosol exchange rate (recovery t1/2) of the p94:C129S molecules was approximately twice as slow as that of WT p94. These findings indicate that p94 responds to the physical stress of myocytes and that the mobility of p94 is regulated/facilitated by its protease activity.
How is p94’s protease activity involved in the regulation of mobility? It should be noted that p94’s protease activity is involved in both substrate degradation and autolysis. The activation of p94 causes a limited processing of p94 itself (autoprocessing), resulting in a conformationally altered molecule that is still proteolytically competent (25, 31–33). In fact, the proteolytic activity–dependent autoprocessing of p94 is detectable in exercised muscles as a faster migrating fragment of ca. 60 kDa (see Figure Figure2A).2A). Therefore, the protease activity–dependent conformational changes in p94 might be important for p94’s proper dynamics within the sarcomere.
MARP2 is thought to be involved in stress-response pathways in skeletal muscles (17, 26, 28, 34, 35). The importance of MARP2’s induction for membrane repair is also supported by recent studies showing that MARP2-overexpressing muscle cells express elevated levels of genes for muscle repair systems, among others (36). Thus, the failure of MARP2 induction in p94KI-ex mice probably compromises the muscle’s adaptation to physical stress. We previously showed that p94 competes with MARP2 for binding to the N2A region and that WT p94 is better able to abrogate the MARP2-N2A interaction than p94:C129S (17). Therefore, it is conceivable that the stretch-induced dynamic redistribution of p94 from the M-line to the N2A region modulates the dissociation of MARP2 from connectin/titin and the subsequent translocation of MARP2 to the nucleus to transmit signals of mechanical perturbation and that this process is compromised in p94KI mice (Figure (Figure6).6). In other words, the loss of p94 protease activity may disrupt a MARP2-mediated stress-response pathway, resulting in muscle degeneration. This notion is also supported by the observations that exercise induces p94 proteolytic activity and the upregulated transcription of MARP2 in human skeletal muscles (20, 27) and that p94 is mislocalized in LGMD2A patients (37).
We noted a striking similarity in the proteomic profiles of muscle cytosol in p94KI and WT-ex mice, including upregulation of hsp, likely indicating that the skeletal muscle of p94KI mice is in a permanent stress state like that caused by eccentric exercise in WT mice. Conversely, the very mild symptoms of p94KI mice can be ascribed to the upregulation of hsp. Upon exercise, since p94 translocates to the cytosol, the relative amounts of p94 in the M-line decrease. Indeed, our iTRAQ experiments detected an approximately 1.2- to 1.6-fold increase in myomesin 1 and 2, the major proteins in the M-line, in WT-ex and p94KI mice, suggesting that p94 is one of the proteases responsible for myomesin degradation. In the cytosol, muscle type CK (CK-M) is a candidate target for p94 proteolysis since CK-M decreases with exercise in WT mice, but does not significantly change in p94KI mice. On the other hand, in WT mice, exercise upregulated proteins involved in protein turnover, e.g., ubiquitin-related molecules (UbcH7, Nedd8), proteasome subunits (PSMA4, C2, D7), and proteins related to translation (S36mt, EF-Tu, eEF-1γ, RSK-1). This can be explained by the change in p94 localization and/or by hypothesizing that its degrading protease or proteases are downregulated by p94. Some of these proteins (proteasome subunits, EF-Tu, and eEF-1γ) are not upregulated or are even downregulated in p94KI-ex mice, suggesting that they are under the control of p94 protease activity.
Although CK levels are elevated in LGMD2A patients with a CAPN3-null mutation, in p94KO mice, and in patients with other MDs (3, 11, 13), our p94KI mice did not exhibit an elevated CK value when unexercised. Similarly, some LGMD2A patients that express an apparently normal-sized p94 protein with missense mutations, such as P359L, show almost normal CK values (38). Considering that P359L, which is adjacent to one of the active-site residues (N358), is likely to impair the p94 protease activity, these findings suggest that a novel function of p94, not its protease activity, is involved in the maintenance of the sarcolemma. Further studies will be required to elucidate this function, which may be facilitated by comparing the p94KI mice with the p94KO mice.
Previous studies have demonstrated that the protein dynamics of the highly organized sarcomere are important for the sarcomere’s structural integrity (39). Given that p94KI-ex showed an exacerbated MD phenotype, we suggest that the decreased ability of inactive p94 to swiftly change its distribution in response to physical stress results in a delayed or inadequate adaptive response of the myocytes to physical stress, which contributes to MD pathogenesis. Thus, it is plausible that p94 functions as a sensor that detects physical stress through stretch-dependent autoprocessing. Since skeletal muscles are exceptionally adaptable to a variety of stimuli (exercise, denervation, starvation, hypoxia, invasive surgery, trauma, etc.), they must require cellular machinery for the qualitative and quantitative sensing of these stimuli. In this context, p94 is an excellent candidate as a sensor for the intensity of physical stress. Our results demonstrating the importance of spatiotemporally regulated p94 behavior in the protective response of skeletal muscles provide what we believe are novel and important insights into the complex pathogenesis of LGMD2A as well as ideas for the development of future therapeutic strategies. In addition, our observations may be important for understanding how physical stress in skeletal muscles is connected to adaptive cellular responses, although the precise molecular mechanisms should be further investigated.
All procedures using experimental animals were approved by the Experimental Animal Care and Use Committee of Rinshoken, and the animals were treated according to the committee’s guidelines. C57BL/6 mice were purchased from Nihon CLEA Inc. Cre-recombinase–expressing Tg-mice were provided by the Jackson Laboratory.
The missense C129S mutation and a neomycin-resistance gene (neoR) flanked by loxP sequences were introduced into exon 3 and intron 3, respectively, of the Capn3 gene in mouse ES cells by electrotransfection of the targeting vector (Supplemental Figure 1A). The recombinant ES cells were used for blastocyst injection to produce germline-transmitting chimeric mice. F1 heterozygotes with the proper recombination were crossed with Tg mice expressing Cre recombinase in their germline cells. The resultant mice were confirmed by Southern blot analysis to have the C129S mutation without neoR and were backcrossed with C57BL/6J mice for more than 8 generations (see Supplemental Figure 1 for details).
An exercise protocol was designed as previously reported (40) with slight modification. Briefly, WT and p94KI mice (15 to 18 weeks old) were made to run on motor-driven treadmills (MK-680S; Muromachi Inc.). The running program was as follows: (16° decline, 18 m/min × 20 min) × 3 sets with 3-minute intervals between each set. Muscle and blood samples were taken immediately after the exercise unless otherwise stated. For the EBD assay, 2% EBD in PBS was injected intravenously immediately after exercise (10 μl/g body weight) (41), and the mice were sacrificed the next day. Since this protocol showed almost no EBD-stained myofibers in WT mice, in another set of experiments, EBD was preinjected before exercise, and the mice were sacrificed immediately afterwards. The dissected muscles were immediately frozen in liquid nitrogen–cooled isopentane.
For the serum CK measurement, blood was taken from the heart under anesthesia. To prevent nonspecific increases in the CK value, a single blood draw per sample was used for quantification. Serum CK was measured by SRL Inc.
H&E staining and immunochemical labeling were performed as previously reported (42). Fluorescence was observed on a laser-scanning confocal microscope (Zeiss LSM510). The images were manipulated with LSM imaging software. The number of myofibers and CNM were counted in H&E-stained sections. The CSArs of myofibers were measured with AlphaEaseFC Software ver. 3.1.2 (Alpha InnoTech Corp.). Western blot analysis was performed as previously described (19). Skeletal muscles were lysed with TED buffer (10 mM Tris/Cl [pH 7.5], 1 mM EDTA, 1 mM DTT). The Sup and Ppt fractions were prepared by centrifugation at 23,000 g for 20 minutes. The intensity of the bands was normalized to that of the CBB-stained actin or Mhc band. The primary Abs used in this study are listed in Supplemental Table 2.
After staining with the anti-pNS Ab, which detects p94 (43), the average signal intensities of p94 in the M and N2A zones were quantified with Photoshop CS2 (Adobe). The p94 signal ratio in a single sarcomere was calculated as the ratio of the p94 signal density in M to the p94 signal density in N2A. Each value was plotted on a scatter graph in relation to the sarcomeric length, which was measured as the distance between the centers of adjacent s-α-actinin–positive Z-lines with LSM imaging software. The total number of sarcomeres counted was 195 for WT and 188 for p94KI.
EDL muscles were fixed with 2% glutaraldehyde, postfixed with 1% OsO4, and embedded in Epon. Ultrathin sections were stained with uranyl acetate and examined using a JEM 1200EX transmission electron microscope (JEOL).
The preparation of mouse skeletal muscle primary culture cells and transfection were carried out as previously described (19). The cDNAs for full-length human p94 and its protease-inactive form p94:C129S were cloned into the pEGFP vector (Clontech). Five days after switching to differentiation medium, myocytes transfected with an expression vector encoding a WT p94-EGFP fusion protein, p94:C129S-EGFP fusion protein, or EGFP (pEGFP mock vector) were subjected to FRAP analysis with an LSM510 confocal microscope. The regions of interest were bleached for 30 seconds using LSM software. For control experiments using pEGFP, 30 seconds of photobleaching reduced the EGFP signal by only about 50%, because of the rapid mobility of the EGFP molecules (see Supplemental Figure 5). The FRAP process was recorded using LSM software. For the FRAP experiments using p94-fused EGFP, the relative EGFP intensity was calculated as the ratio of EGFP intensity at each time point to the intensity before bleaching and the t1/2 for recovery was calculated as reported previously (22). Ten fibers each were quantified for WT p94 and p94:C129S.
To calculate the mobile fraction (M1, M2, . . . ) and recovery t1/2, first, the value of the initial photobleached image (t = 0) was subtracted from each subsequent image, and the results were normalized by setting the prebleach intensity to 1 and the intensity of the initial photobleached image (t = 0) to 0. A curve-fitting method was used to extract M1 and t1/2 from the FRAP curve, as previously reported (22). MS-Excel was used to fit the data to the following exponential equation: r = M1(1 – exp[–k1t]), where R is the relative recovery of the fluorescence intensity of the bleached area at time t, and M1 is the mobile fraction of the exponential process with rate constant k1. t1/2 was calculated as t1/2 = 0.69315/k1. Note that this equation fit the data well, and a dual exponential fit did not improve the fit.
Buffer (0.5 M triethylammonium bicarbonate, 0.1% SDS) soluble fractions of TA muscles were prepared from unexercised WT and p94KI mice and WT-ex and p94KI-ex mice immediately after exercise. Each sample (45 μg of protein) was a mixture of equal amounts of protein from 3 individual mice and labeled with iTRAQ–114 (WT), –115 (p94KI), –116 (WT-ex), or –117 (p94KI-ex) reagents according to the manufacturer’s instructions (ABI). The samples were subjected to fractionation (1,440 spots) using a DiNa LC system with HiQ-Sil-SCX, HiQ-Sil-C18-3, and a MALDI-plate spotter (KYA Tech) as described previously (44). Spotted fractions were analyzed by MALDI-TOF mass spectrometry (ABI 4800), and proteins were identified using ProteinPilot 2.0 (ABI) and Swiss-Prot Database. ProteinPilot 2.0 software detected 4,965 distinct peptides for 660 proteins from 14,660 MS/MS spectra (confidence > 0.7). See Supplemental Figure 10 for details.
Poly(A)+ RNA was isolated from TA muscles of WT and p94KI (2 for each). DNA microarray analysis was performed using an Affymetrix DNA chip U74A according to the manufacturer’s instructions and as previously described (18).
Statistical analyses were performed by the 2-tailed Student’s t test to determine statistical significance. P (exact significance) < 0.05 was considered statistically significant. As for statistical significance of k (= 0.69315/t1/2) described in Figure Figure3,3, C and P, several independent analyses were done (see Supplemental Figure 6 for details). Error bars denote SEM. Calculations were performed using Origin 8 Pro (OriginLab Corp.), MS Excel (Microsoft Corp.), and/or “R” program package (45).
We are grateful to all the members of the Calpain Project (Rinshoken), the Laboratory of Biological Function, and the Laboratory of Molecular Structure and Function (The University of Tokyo) for valuable support and discussions. We thank Choji Taya and Hiromichi Yonekawa of Rinshoken for their excellent advice on mouse manipulation and maintenance and Motoya Katsuki of the National Institute for Basic Biology for assistance in the initial stages of this study. We dedicate this paper to the memory of Koichi Suzuki, who passed away on April 20, 2010. We will always be grateful for his generous and humble mentorship of all of us. This work was supported in part by MEXT.KAKENHI (18076007 to H. Sorimachi; 22770139 to Y. Ono), JSPS.KAKENHI (18700392, 20500369 to K. Ojima; 19658057, 20370055 to H. Sorimachi), by a research grant (20B-13) for nervous and mental disorders from the Ministry of Health, Labor and Welfare, Japan (to H. Sorimachi), by a Takeda Science Foundation research grant (to H. Sorimachi), an NIH grant (062881 to H. Granzier), and the Deutsche Forschungsgemeinschaft (to S. Labeit).
Conflict of interest: The authors have declared that no conflict of interest exists.
Citation for this article: J Clin Invest. 2010;120(8):2672–2683. doi:10.1172/JCI40658.
Koichi Suzuki is deceased.