Skip to main content
eLife logoLink to eLife
. 2017 Aug 11;6:e27192. doi: 10.7554/eLife.27192

Extensive alternative splicing transitions during postnatal skeletal muscle development are required for calcium handling functions

Amy E Brinegar 1,2, Zheng Xia 1,3,, James Anthony Loehr 4, Wei Li 1,3, George Gerald Rodney 4, Thomas A Cooper 1,2,4,
Editor: Benjamin J Blencowe5
PMCID: PMC5577920  PMID: 28826478

Abstract

Postnatal development of skeletal muscle is a highly dynamic period of tissue remodeling. Here, we used RNA-seq to identify transcriptome changes from late embryonic to adult mouse muscle and demonstrate that alternative splicing developmental transitions impact muscle physiology. The first 2 weeks after birth are particularly dynamic for differential gene expression and alternative splicing transitions, and calcium-handling functions are significantly enriched among genes that undergo alternative splicing. We focused on the postnatal splicing transitions of the three calcineurin A genes, calcium-dependent phosphatases that regulate multiple aspects of muscle biology. Redirected splicing of calcineurin A to the fetal isoforms in adult muscle and in differentiated C2C12 slows the timing of muscle relaxation, promotes nuclear localization of calcineurin target Nfatc3, and/or affects expression of Nfatc transcription targets. The results demonstrate a previously unknown specificity of calcineurin isoforms as well as the broader impact of alternative splicing during muscle postnatal development.

Research organism: None

Introduction

There is a 50-fold increase in body weight during murine postnatal development, 50% of which is contributed by skeletal muscle (Allen et al., 1979). Skeletal muscle tissue undergoes dynamic remodeling after birth to transition to the functional requirements of adult tissue. While embryonic development of skeletal muscle and regeneration in adult skeletal muscle has been extensively studied, the physiological transitions of postnatal muscle are poorly understood (Aulehla and Pourquié, 2008; Braun and Gautel, 2011; Buckingham et al., 2003; Dubrulle and Pourquié, 2004). In rodents, as in humans, skeletal muscle at birth is immature with low functionality as illustrated by poor mobility of newborns. After a period of active proliferation of myogenic progenitor satellite cells and fusion to form myofibers during late embryonic development, myofiber number remains constant after birth. Postnatal skeletal muscle growth is primarily by myofiber hypertrophy and fusion of proliferating satellite cells that is limited to within the first few weeks after birth (Ontell et al., 1984; White et al., 2010). Satellite cells make up approximately 11% of muscle nuclei at postnatal day 14, but by week 17, the fraction of satellite cell nuclei drops to 3% (Ontell et al., 1984) reflecting their transition from contributing to myofiber growth to quiescent adult muscle stem cells (Relaix and Zammit, 2012). The tibialis anterior muscle cross-sectional area increases seven-fold from postnatal day 1 (PN1) to PN28 in mice with a concomitant five-fold increase in maximal isotonic force (Gokhin et al., 2008). Importantly, while the increased isotonic force is due primarily to increased muscle size, there is a six-fold increase in intrinsic mechanical function from PN1 to PN28 that is size-independent. The basis for the increased intrinsic function is not completely understood but correlates best with increased myofibril size, a transition of myosin heavy chain isoforms, and changes in metabolism and calcium handling (Gokhin et al., 2008). T-tubules and sarcoplasmic reticulum, the cellular structures required for excitation contraction coupling, rapidly mature within the first 3 weeks after birth (Franzini-Armstrong, 1991). The majority of skeletal muscles in mice switch from slow, type I fibers to fast, type II fibers (Agbulut et al., 2003). In addition to the differences in metabolism, fast and slow fibers have different cytosolic calcium concentrations of 30 nM and 50–60 nM, respectively (Gailly et al., 1993).

While changes in gene expression are well-established mediators of skeletal muscle hypertrophy and atrophy the role of different protein isoforms generated by alternative splicing in muscle physiology has not been extensively explored. We hypothesize that there is a substantial role for protein isoform transitions produced by coordinated alternative splicing in the transition to adult skeletal muscle physiology. Alternative splicing generates proteome diversity including isoforms with tissue specific or developmental stage-specific functions (Giudice et al., 2014; Kalsotra et al., 2008; Merkin et al., 2012). Ninety-five percent of human intron-containing genes are alternatively spliced; however, opinions differ with regard to the extent to which this huge diversity is regulated to provide a functional outcome (Tress et al., 2017; Pickrell et al., 2010; Gonzàlez-Porta et al., 2013). Several studies have shown that the majority of alternative splicing is not conserved; however, alternative exons that are tissue-specific or regulated during periods of physiological change show high levels of conservation of the variable protein segment, suggesting functional importance; functionality is further supported when the timing of the splicing transition is also conserved (Kalsotra et al., 2008; Barbosa-Morais et al., 2012; Ellis et al., 2012). For example, alternative splicing transitions during postnatal development of both brain and heart have been associated with functional consequences (Giudice et al., 2014; Dillman et al., 2013).

While a number of alternative splicing transitions during skeletal muscle postnatal development have been identified, little is known regarding the functional consequences (Azim et al., 2012; Buck et al., 2010; Grande et al., 2003; Lu et al., 2008; Ohsawa et al., 2011). Recent reports demonstrate functional consequences using knock out of alternative exons to force expression of specific isoforms of CaV1.1 or titin resulting in reduced contractile force and substantial histopathology, respectively (Sultana et al., 2016; Charton et al., 2016). Simultaneous reversion to fetal splicing patterns of four vesicular trafficking genes in adult mouse skeletal muscle demonstrated the requirement for the adult isoforms in myofiber structure and physiology (Giudice et al., 2016a). Reversion to fetal splicing patterns in skeletal muscle is a hallmark of myotonic dystrophy and results in altered function including myotonia due to failure to express the adult isoform of the CLCN1 mRNA (Mankodi et al., 2002; Charlet-B et al., 2002). The full extent to which alternative splicing contributes to normal postnatal muscle development remains unknown since its role has not been systematically examined on a genome-wide scale.

Among a large number of RNA-binding proteins that regulate alternative splicing, the Muscleblind-like (MBNL) and CUG-BP Elav-like family (CELF) families are the best characterized for regulating splicing transitions during postnatal development in heart and skeletal muscle (Giudice et al., 2014; Kalsotra et al., 2008; Lin et al., 2006). Disruption of MBNL and CELF RNA processing activities by the repeat containing RNAs expressed from microsatellite expansions cause the pathogenic effects in myotonic dystrophy (Lee and Cooper, 2009). MBNL and CELF families regulate separate as well as overlapping subsets of alterative splicing events and most often show antagonistic regulation of the shared splicing events (Kino et al., 2009; Wang et al., 2015).

We performed a systematic analysis of genome-wide gene expression and alternative splicing transitions in mouse gastrocnemius muscle by RNA-seq of five time points between embryonic day 18.5 (E18.5) and adult. The results show extensive regulation of both gene expression and alternative splicing that is particularly active within the first 2 weeks after birth. Of the transitions that occur between E18.5 and adult, 55% and 56% of genes that undergo alternative splicing or differential expression, respectively, occur between postnatal day 2 (PN2) and PN14. Interestingly, 58% of the splicing transitions that occur between PN2 and PN14 show little change before and after these time points identifying a subset of splicing transitions that are not contiguous with ongoing fetal transitions, but rather are limited to the first 2 weeks after birth. The genes that undergo differential gene expression and alternative splicing show minimal overlap suggesting independent mechanisms of transcriptional and post-transcriptional regulation. Differentially expressed genes were enriched for mitochondrial functions while genes that undergo alternative splicing transitions were enriched for calcium handling, cell-cell junction, and endocytosis. We show that more than 50% of the splicing transitions tested were conserved between mouse and human with regard to the direction and timing of the transition strongly suggesting functional significance. We used morpholino oligonucleotides to re-direct splicing of all three calcineurin A genes (Ppp3ca, Ppp3cb, and/or Ppp3cc) to the fetal isoforms in adult mouse flexor digitorum brevis (FDB) muscle and differentiated C2C12 myotubes. Ex vivo analysis of FDB muscle demonstrated an effect on contractile properties and calcium handling. Redirected splicing to the fetal isoforms of calcineurin A in differentiated C2C12 myotubes caused nuclear localization of Nfatc3. These results identify protein isoform transitions that occur during postnatal skeletal muscle development and demonstrate previously unknown isoform-specific functional requirements for activation of calcineurin A transcriptional targets.

Results

Transcriptome changes predominate within the first 2 weeks of postnatal skeletal muscle development

To identify changes in gene expression and alternative splicing during postnatal skeletal muscle development, we performed RNA-seq using RNA from gastrocnemius muscle at E18.5, PN2, PN14, 28, and adult (22 weeks) including a biological replicate for PN14. Males were used for all time points except E18.5 for which both male and female animals were used. We obtained >160 million 100 bp paired end reads per sample with at least 92% of reads mapping to the mouse genome (Table 1). The PN14 biological replicates revealed strong correlations for both gene expression and alternative splicing indicating high levels of reproducibility (r2 = 0.99 and 0.90, respectively, Figure 1A and B). Splicing transitions predicted by RNA-seq were validated by RT-PCR by comparing the change in percent spliced in (∆PSI) identified by RNA-seq and by RT-PCR between PN2 and PN28 (r2 = 0.80, Figure 1C–E). The overall results indicate that our RNA-seq data reflects the transcriptome changes occurring in vivo during postnatal skeletal muscle development.

Table 1. Mouse tissue samples used for RNA-seq.

Samples were pooled for E18.5 and PN2 to obtain sufficient quantities of RNA.

Sample Tissue Age Sex # of mice Mapped reads % mapped
E18.5 Gastrocnemius E18.5 M/F 21 377,538,308 93.00%
PN2 Gastrocnemius PN2 M 6 381,045,805 92.20%
PN14 Replicate #1 Gastrocnemius PN14 M 1 321,001,586 92.60%
PN14 Replicate #2 Gastrocnemius PN14 M 1 379,096,597 93.20%
PN28 Gastrocnemius PN28 M 1 377,248,209 93.30%
Adult Gastrocnemius 22 weeks M 1 381,729,569 93.50%

Figure 1. RNA-seq data is high quality and reproducible.

(A and B) Biological replicates for PN14 were compared to analyze variation in gene expression (A) and alternative splicing (B) using Cufflinks and MISO, respectively. (C) RT-PCR to quantitate splicing use primers that anneal to the constitutive exons flanking an alternative exon, displayed on the UCSC Genome Browser (above) to determine the percent spliced in (PSI). (D) RT-PCR splice products for alternative splicing events comparing PN2 to PN28. (E) Plot comparing PN2 to PN28 RNA-seq ΔPSI values and ΔPSI values obtained by RT-PCR.

Figure 1.

Figure 1—figure supplement 1. The vast majority of transcriptome changes observed in the RNA-seq data are from myofibers with a minimal contribution from satellite cells.

Figure 1—figure supplement 1.

Genes for activated satellite cells (Pax7, Myf5, Cdg15) had little or undetectable expression. In contrast, genes expressed in myofibers (Myog, Des, Myh4) are readily detected.

We identified 4417 genes showing differential expression (±2.0 fold change) and 721 events showing differential splicing (ΔPSI of ±15%) comparing E18.5 to adult skeletal muscle (samples from Table 1). For both gene expression and alternative splicing, the interval between PN2 and PN14 was the most dynamic time period with regard to the numbers of genes undergoing transitions. The analysis is affected by the differences in interval length between times points (E18.5 to PN2 vs. PN28 to adult) but even after correcting for differences in interval duration, the largest number of genes change expression between PN2 and PN14 (Figure 2—figure supplement 1A). From E18.5 to adult time points, 56% of differential gene expression changes occurred between PN2 and PN14 (3315 genes) while expression of 636 genes (11%) changed between PN14 and PN28, 481 genes (8%) changed in gene expression from E18.5 to PN2 and 1496 genes (25%) changed expression between PN28 and adult (Figure 2A).

Figure 2. Postnatal gene expression and alternative splicing transitions in mouse skeletal muscle are largely independent, temporally restricted and conserved.

(A) Genes with ≥2.0 fold increase or decrease in expression between E18.5-PN2, PN2-PN14, PN14-PN28 and PN28-Adult (Table 1). (B) Alternative splicing events with ΔPSI ≥± 15% between E18.5-PN2, PN2-PN14, PN14-PN28 and PN28-Adult. Decreased indicates more skipping of a splicing event during development, and increased indicates more inclusion of an alternative splicing event during development. (C) Heat map of alternative splicing transitions between four time intervals. Most gene expression and splicing transitions occur between PN2 and PN14. (D) Splicing patterns of events with 15% ΔPSI or greater between PN2 and PN14. (E) Venn diagram of genes with gene expression changes (2.0-fold or greater) compared to alternative splicing transitions (15% ΔPSI or greater) between PN2 and PN14. (F) Conservation of splicing transitions during mouse and human skeletal muscle development. The ∆PSI between PN2 to PN28 mouse gastrocnemius samples were compared to the ∆PSI between gestation week 22 to adult human skeletal muscle by RT-PCR. Events showing a 15% ΔPSI or greater in the same direction in mouse and human samples were scored as conserved (indicated by C).

Figure 2.

Figure 2—figure supplement 1. Most changes in gene expression occur before PN14.

Figure 2—figure supplement 1.

(A) Differential gene expression changes standardized to the number of days in the time interval. (B) Heat map of differential gene expression of genes (left) with alternative splicing (right) between four intervals. The gene list is aligned in the heat maps for differential expression and alternative splicing, the latter is reproduced from Figure 2C. Largest changes are denoted by the darkest colors of yellow (decreased) or blue (increased). White indicates unchanged.

The numbers of proliferating satellite cells decrease during early postnatal skeletal muscle development such that a portion of the transcriptome changes are likely to reflect changes in cell population rather than transitions within established myofibers. The RNA-seq data show that the expression of markers of activated satellite cells is relatively low even at PN2 while the changes in expression of myofiber markers (Myog, Des, and Myh4) are robust (Figure 1—figure supplement 1). These results are consistent with the contention that the dynamic transcriptome changes reflect transitions within established myofibers with minimal contributions from a changing satellite cell population.

To identify the timing of splicing transitions, we compared ΔPSIs of the four developmental intervals (Figure 2B, Table 1). Interestingly, 67% of the splicing events with a ΔPSI ≥ 15% undergo a transition during only one time interval (Figure 2C). Similar to differential gene expression, the interval between PN2 and PN14 has the largest number of splicing transitions. Of the 768 splicing events that occur between E18.5 and adult, 32% occur specifically between PN2 and PN14 while only 13% occur between E18.5 and PN2, 5% occur specifically between PN14 and PN28, and 16% occur specifically between PN28 and adult. These results indicate that there is enrichment for alternative splicing changes within the first 2 weeks after birth, 77% of which are cassette exons from PN2 to PN14 (Figure 2D).

While there are large numbers of transitions for both alternative splicing and gene expression between PN2 and PN14, there is little overlap in the genes that undergo these transitions. Of the genes that undergo alternative splicing transitions between PN2 and PN14, only 18% also showed differential gene expression indicating that the majority of alternative splicing changes are within genes that do not significantly change expression (Figure 2E). Of the 768 differential splicing events that change between E18.5 and adult, 31% do not exhibit differential gene expression between ED18.5 and adult and 58% of differential alternative splicing events are within genes that show differential expression in a different and single time interval (Figure 2—figure supplement 1B). This indicates that differential gene expression and alternative splicing are both dynamic throughout postnatal development, but affect different sets of genes or, interestingly, affect the same genes at different developmental periods. Since the majority of splicing changes are within open-reading frames (ORFs) (see below), for many genes there is a major impact on protein isoform transitions rather than a change in gene output.

To determine the level of conservation of validated splicing transitions, we performed RT-PCR using RNA from PN2 and PN28 mouse skeletal muscle and human skeletal muscle RNA from 22 weeks gestation and adult. The alternative splicing events selected to test for conservation in humans were enriched for cassette exons found in calcium-handling genes since this functional category was strongly enriched (see below). Alternative splicing events were considered to be conserved if both the mouse and human had a ΔPSI of 15% or greater in the same direction. Of the 17 splicing events tested, 11 (65%) underwent a transition that was conserved (Figure 2F). Since all 11 events involved cassette exons that inserted or removed in-frame peptides, the results suggest that the different protein isoforms that result from the alternative splicing transitions have conserved physiological functions.

In-frame alternative exons predominate in the ORF while out-of-frame alternative exons contain coding and untranslated regions

To determine the impact of alternative splicing on the protein isoforms expressed during postnatal development, we examined the distribution of cassette alternative exons within the spliced mRNAs and the effect of regulated splicing on the reading frame. For alternative exons with a ΔPSI of 15% or greater from PN2 to PN28 and in genes that contain at least three constitutive exons (223 exons), the relative position of the alternative exon along the length of mRNA was determined by dividing the exon number of the alternative exon by the total number of exons then multiplying by 100 to derive the exon order relative to the mRNA 5’ end (percent from the 5’ end). Alternative exons were also separated based on whether or not they are a multiple of three nucleotides since the latter change the reading frame. Alternative exons that are a multiple of three were predominantly found to maintain the ORF (129 exons of 135 considered) causing either an internal insertion or deletion of amino acids (Figure 3A and B). Six exons either created translation start or stop codons or altered the 5’ UTR. Alternative exons that are not a multiple of three (88 exons) were enriched near the 5’ or 3’ ends of the mRNA either exclusively within the UTRs (22 exons) or affecting the ORF to produce alternative N- or C-termini (66 exons) (Figure 3C and D). Therefore, the majority of alternative splicing transitions produce fetal and adult protein isoforms differing by internal peptide segments. Less common, but still prevalent, are transitions that produce different N- or C-termini. The least common are alternative exons that affect untranslated regions without affecting the reading frame.

Figure 3. Distribution of cassette alternative exons within mRNAs.

Figure 3.

The graphs display the number of genes and the relative position of the alternative cassette exon from the 5’ end of the spliced mRNA. The relative exon position is expressed as the percent of the total number of exons. The alternative exons analyzed (223 exons) have a ΔPSI of 15% or greater from PN2 to PN28 and contain at least three constitutive exons. (A) In-frame alternative exons that maintain the reading frame. Colors indicate whether the alternative exon contains a translational stop codon (red), start codon (green), only 3’ UTR sequence (yellow), only 5’ UTR sequence (blue), or if the exon is within the open reading frame (gray). (B) Representation of potential protein-coding consequences of in-frame alternative exons. (C) Out of frame alternative exons that shift the reading frame. (D) Representation of potential protein-coding consequences of alternative exons that are a non-multiple of three.

Genes that undergo postnatal splicing transitions during skeletal muscle development are enriched for calcium handling functions

Ingenuity analysis of genes that undergo changes in gene expression and alternative splicing between PN2 and PN28 identified essentially non-overlapping functional categories (Figure 4). Specifically, genes that undergo differential expression were enriched for associations with mitochondrial function while alternative splicing transitions were enriched for genes associated with calcium handling, endocytosis, and cell junction categories (Figure 4A and B). Although calcium-related categories included 90 genes for both gene expression and alternative splicing (75 for gene expression, 21 for alternative splicing), only six genes were found to have significant expression and splicing changes. Table 2 lists the calcium handling genes that undergo ∆PSI ≥ 15 point change in alternative splicing between PN2 and PN28. Calcium handling is critical to striated muscle contractility and homeostasis and our results indicate that a large fraction of calcium handling genes undergo splicing transitions that affect the coding potential of these genes (Table 2 and Figure 5). These results suggest an important role for alternative splicing transitions from fetal to adult isoforms in calcium handling genes during postnatal skeletal muscle development.

Figure 4. Gene ontology analysis for differential gene expression and alternative splicing.

Figure 4.

Ingenuity analysis was performed for both gene expression and alternative splicing, with a significance cut-off of –log(1.3). (A) Ingenuity analysis for gene expression differences between PN2 and PN28 (2-fold cut-off). The top 30 GO terms are displayed. For significant GO terms not shown, none of the highlighted, colored terms were present. (B) Ingenuity analysis for alternative splicing for genes with a 15% ΔPSI or greater between PN2 and PN28. All significant GO terms are shown.

Table 2. Calcium handling genes with alternative splicing transitions during skeletal muscle development.

Listed are calcium-handling genes from the GO analysis (Figure 3). The ΔPSI from PN2 to PN28 are displayed along with the size of alternative exon, effect on the reading frame, the relative location of the exon, and predicted protein-coding consequence.

Gene symbol Gene ΔPSI Size of exon (bp) In frame? Alt. exon position Effect on coding
Atp2a1 ATPase, Ca ++ transporting, cardiac muscle, fast twitch 97 42 Y 22 of 23 C-term.
Atp2a3 ATPase, Ca ++ transporting, ubiquitous 20 73 N 21 of 22 C-term.
Atp2b3 ATPase, Ca ++ transporting, plasma membrane −42 154 N 21 of 22 C-term.
Cacna1s Calcium channel, voltage-dependent, L type, alpha 1S subunit 50 57 Y 29 of 44 Insertion
Cacna2d1 Calcium channel, voltage-dependent, alpha 2/delta subunit 1 53 57 Y 19 of 39 Insertion
Calu Calumenin −27 194 Y three of 7 Mutually exclusive
Camk2b Calcium/calmodulin-dependent protein kinase II beta 62 129 Y 13 of 17 Insertion
Camk2d Calcium/calmodulin-dependent protein kinase II delta 34 89 N 19 of 20 C-term.
Camsap1 Calmodulin regulated spectrin-associated protein 1 25 33 Y five of 18 Insertion
Cask Calcium/calmodulin-dependent serine protein kinase −44 69 Y 14 of 21 Deletion
Chrne Cholinergic receptor, nicotinic, epsilon (muscle) −18 107 N 5 of 12 Change of a.a.
Kcnn1 Potassium intermediate/small conductance calcium-activated channel, subfamily N, member 1 −35 111 Y 6 of 10 Deletion
Mef2d Myocyte enhancer factor 2D −31 138 Y 4 of 12 Mutually exclusive
Nfatc3 Nuclear factor of activated T-cells, cytoplasmic, calcineruin-dependent 3 20 104 N 10 of 11 C-term.
Ppp3ca Protein phosphatase 3, catalytic subunit, alpha isozyme (calcineurin Aα) 30 30 Y 13 of 14 Insertion
Ppp3cb Protein phosphatase 3, catalytic subunit, beta isozyme (calcineurin Aβ) 25 27 Y 11 of 15 Insertion
Ppp3cb Protein phosphatase 3, catalytic subunit, beta isozyme (calcineurin Aβ) 16 30 Y 14 of 15 Insertion
Ppp3cc Protein phosphatase 3, catalytic subunit, gamma isozyme (calcineurin Aγ) 49 27 Y 11 of 15 Insertion
Ryr1 Ryanodine receptor 1 (skeletal) 39 18 Y 83 of 106 Insertion
Tnnt3 Troponin T type 3 (skeletal, fast) 22 41 Y 16 of 17 Mutually exclusive
Trdn Triadin 18 60 Y 9 of 36 Insertion

Figure 5. Calcium handling genes that undergo alternative splicing transitions in postnatal skeletal muscle development.

Figure 5.

Diagram of calcium handling genes that are expressed in skeletal muscle. Genes with 15% or greater ΔPSI from PN2 to PN28 are underlined and include members of several calcium channels: NCX (sodium calcium exchanger), PMCA (plasma membrane Ca2+-ATPase), SERCA (sarco/endoplasmic reticulum Ca2+-ATPase), and RYR (ryanodine receptor); triadin (Trdn) which associates with Ryr1, junctin (Asph) and FKBP12 (Fkbp1a). Signaling cascades that are affected by alternative splicing include Ca2+/camodulin (CaM)-dependent calcineurin (CaN) and calmodulin-dependent protein kinase II (CamkII) along with the downstream transcription factor NFATC. NFATC and transcription factors (TFs) regulated by CamkII activate genes for hypertrophy and fiber type specification.

CELF and MBNL proteins regulate distinct sets of calcium handling genes

CELF and MBNL proteins are involved in alternative splicing transitions during normal developmental and in skeletal muscle disease (Giudice et al., 2014; Kalsotra et al., 2008; Lin et al., 2006; Konieczny et al., 2014; Dasgupta and Ladd, 2012). Of the six Celf paralogs and three Mbnl paralogs in mice, Celf1, Celf2, Mbnl1, and Mbnl2 are expressed in postnatal and adult skeletal muscle and therefore comprise the totality of CELF and MBNL activities during postnatal development. Western blot analysis of protein expression during postnatal development of gastrocnemius muscle demonstrated that Celf1, Celf2, and Mbnl2 protein levels decrease dramatically between PN7 and PN14 (Figure 6A). Mbnl1 protein expression is also reduced after PN7. Published results indicate that Mbnl1 undergoes translocation to the nucleus during mouse postnatal skeletal muscle development (Lin et al., 2006) that is likely to increase its effects on its splicing targets. The dramatic changes in expression of CELF and MBNL proteins during the first 2 weeks after birth show a strong correlation with a particularly dynamic period of splicing change and differential protein expression of these two families of splicing regulators.

Figure 6. Postnatal down-regulation of CELF and MBNL alternative splicing regulators promote splicing transitions of calcium handling genes.

(A) Western blot of Celf1, Celf2, Mbnl1, and Mbnl2 during gastrocnemius postnatal development. **All E18.5 samples are from hindlimb (HL) except Celf1 blot which is E18.5 gastrocnemius. Ponceau S and α sarcomeric actinin serve as loading markers. (B) Comparing PSI of control mice (MDAFrtTA + dox) and human CELF1 overexpressing mice (MDAFrtTA/TRECUGBP1 + dox) (C57BL6/DBA;FVB). (C) Comparing PSI of wild type and Mbnl1 KO mice, Mbnl1ΔE3/ΔE3 (FVB). Single asterisk (*) denotes p<0.05 using student T-test, n = 3 mice per group. Displayed are mean with SD bars.

Figure 6.

Figure 6—figure supplement 1. CELF1 overexpression and Mbnl1 KO effect on calcium-handling splicing.

Figure 6—figure supplement 1.

(A) Western blots of hCELF1 overexpressing mice compared to controls (MDAFrtTA/TRECUGBP1 + dox and MDAFrtTA +dox) and Mbnl1 KO mice (Mbnl1+/+, Mbnl1ΔE3/+, and Mbnl1ΔE3/ΔE3) validating protein level changes. (B) Heat map of ΔPSI between PN2 and PN28 in wild type FVB gastrocnemius; between control mice (MDAFrtTA +dox) and hCELF1 overexpressing adult mice (MDAFrtTA/TRECUGBP1 + dox) (C57BL6/DBA;FVB) quadriceps; and between adult Mbnl1+/+ and Mbnl1ΔE3/ΔE3 (FVB) quadriceps.

To determine whether changes in Celf1 and Mbnl1 protein levels affect postnatally regulated alternative exons, we analyzed splicing of genes with postnatal splicing transitions in mouse skeletal muscle from our previously published skeletal muscle-specific tetracycline-inducible transgenic mice induced to overexpress human (h)CELF1 in adult animals (MDAFrtTA/TRECUGBP1 + dox vs. control MDAFrtTA +dox) and from adult Mbnl1 knock out mice (Mbnl1ΔE3/ΔE3 vs. control Mbnl1+/+) (Figure 6B–C and Figure 6—figure supplement 1) (Ward et al., 2010; Kanadia et al., 2003). hCELF1 protein expression in induced bitransgenic gastrocnemius muscle was approximately 8-fold above endogenous levels as previously published (Ward et al., 2010) and Mbnl1 protein was not detected in Mbnl1ΔE3/ΔE3 gastrocnemius used for RNA isolation (Figure 6—figure supplement 1A). Overexpression of hCELF1 and loss of Mbnl1 produced six and nine significant splicing changes, respectively (15 genes affected of the 18 tested). The 15 splicing events affected by either hCELF1 overexpression or loss of Mbnl1 reverted toward the splicing pattern observed in fetal muscle (Figure 6—figure supplement 1B) consistent with a response to a loss of CELF1 and a gain of MBNL1 activity during postnatal development. Only two genes, Prkca and Ppp3cc responded to both gain of hCELF1 and loss of endogenous Mbnl1. These results indicate that CELF and MBNL proteins are important contributors to regulated splicing within genes involved in calcium handling during postnatal skeletal muscle development.

All three calcineurin A genes undergo fetal to adult protein isoform transitions during postnatal development

To determine the functional consequences of postnatal splicing transitions, we focused on the calcineurin A genes (Ppp3ca, Ppp3cb, and Ppp3c). Calcineurin is a calcium sensitive phosphatase affecting fiber type in skeletal muscle by dephosphorylating Nuclear Factor of Activated T-cells component (NFATC) proteins leading to NFATC nuclear translocation and NFATC-mediated transcriptional activation of a select subset of genes. It is a heterodimer containing a catalytic subunit, calcineurin A, and regulatory subunit, calcineurin B. All three calcineurin A paralogs expressed in skeletal muscle show postnatal splicing transitions with a ΔPSI of at least 15% (Table 2, Figure 5, and Figure 7A) while the two calcineurin B genes do not (data not shown). The functional consequences for the calcineurin A splicing events have not been characterized.

Figure 7. Calcineurin A splicing during PN development in different tissues.

(A) UCSC Genome Browser displays of calcineurin A alternative exons (Ppp3ca ex13, Ppp3cb ex10a, Ppp3cb ex13, and Ppp3cc ex10a) side-by-side with RT-PCR of RNA from PN2 and PN28. (B) RT-PCR comparing inclusion of calcineurin A alternative exons in diverse adult tissues (BioChain tissue array mRNA).

Figure 7.

Figure 7—figure supplement 1. Alignment of calcineurin A alternative exons.

Figure 7—figure supplement 1.

(A) The protein sequences of the three mouse calcineurin A paralogs are aligned. (B) Diagrams aligning calcineurin A mRNAs and proteins showing relative positions of known protein domains and alternatively spliced regions. (C) RT-PCR of calcineurin A exons during postnatal development of muscle groups with differing fiber type contributions: gastrocnemius (blue), soleus (purple), and flexor digitorum brevis (yellow). Gastrocnemius contains 6%, soleus contains 37%, and FDB contains 13% slow fiber type (type I)(Katz et al., 2010; Close, 1972). N = 3 adult mice or three pooled litters for PN9. Displayed are mean with SD bars.

Ppp3cb and Ppp3cc each have a homologous 27 base pair alternative exon 10a with in-frame insertions encoding peptide segments with low-sequence identity (Figure 7—figure supplement 1A). Ppp3ca does not have a protein sequence equivalent to exon 10a. Ppp3ca and Ppp3cb each have an alternatively spliced 30 base pair exon 13 encoding nearly identical amino acid sequences (Figure 7—figure supplement 1A). Exon 13 for Ppp3cc is constitutively included and encodes a peptide sequence that is 40% and 50% identical to Ppp3ca and Ppp3cb, respectively (Figure 7—figure supplement 1A). All four alternative exons have increased inclusion during postnatal development. In addition, exons 10a of Ppp3cb and Ppp3cc are included specifically in adult skeletal muscle while exons 13 of Ppp3ca and Ppp3cb are included in other adult tissues including heart, testis, and brain (Figure 7B).

Calcineurin A contains a calcineurin B binding domain, calmodulin binding domain, phosphatase domain, and an auto-inhibitory domain (Al-Shanti and Stewart, 2009). Alternative exons 10a of Ppp3cb and Ppp3cc are adjacent to and upstream of the calmodulin-binding domain, and exons 13 of Ppp3ca and Ppp3cb are adjacent to and upstream of the auto-inhibitory domain (Figure 7—figure supplement 1B). These positions suggest a potential effect on the functions of these domains. In addition, the conservation of the postnatal transitions between mouse and human suggests that the isoform transition is functionally relevant to tissue remodeling during the fetal to adult transition (Figure 2F). Inclusion of calcineurin A alternative exons during postnatal development is not strongly affected by fiber type since the splicing transitions are similar between gastrocnemius and soleus muscles, which have different proportions of fast and slow fiber muscles (Figure 7—figure supplement 1C).

Re-directed calcineurin A splicing reveals an isoform-specific effect on Nfatc3 activation

To determine the specific effects of calcineurin A redirected splicing on downstream signaling, we used the mouse C2C12 myogenic cell line. C2C12 cells transition from proliferative myoblasts to fused myotubes upon withdrawal of growth factors. Differentiating C2C12 cultures reproduce the developmental inclusion of exons 13 of Ppp3cb and Ppp3ca but not Ppp3cc and only weak inclusion of exons 10a of Ppp3cb and Ppp3cc (Figure 8—figure supplement 1A). We used morpholino antisense oligonucleotides (ASO) to redirect splicing of exons 13 of Ppp3cb and Ppp3ca through C2C12 differentiation (Figure 8A). Immunofluorescence staining was then used to determine the effects on NFATC family members that are expressed in differentiated myotubes. Nfatc3 protein showed significantly increased nuclear localization in myotubes with calcineurin A redirected splicing while Nfatc1 localization was unchanged (Figure 8B, Figure 8—figure supplement 1B). Nfatc2 mRNA levels are very low in differentiated C2C12 based on our RNA-seq analysis (Singh et al., 2014) and immunofluorescence staining showed no clear change in signal from myotube nuclei (Figure 8B, Figure 8—figure supplement 1B). The Nfatc3 immunofluorescence signal was validated by knockdown in C2C12 myotubes (Figure 8—figure supplement 1C). These results demonstrate that expression of the endogenous fetal isoforms of Ppp3ca and Ppp3cc is sufficient to activate translocation of one of the three Nfatc proteins, Nfatc3.

Figure 8. Redirected calcineurin A splicing in differentiated C2C12 myotubes.

(A) RT-PCR of redirected splicing of calcineurin A events in differentiated C2C12 cells. Two of the four calcineurin A splicing events are present in C2C12. For calcineurin A ASO, 9 μM Ppp3ca ex13 3’ss and 15 μM Ppp3cb ex13 5’ss morphlinos were delivered, and for control ASO, 24 μM standard control morpholino were delivered. (B) Immunofluorescence of Nfatc3 in differentiated C2C12 after morpholino delivery. (C) mRNA levels of Nfatc targets after knockdown of Nfatc3 in differentiated C2C12 cells. Relative mRNA levels are standardized to Mrps7 mRNA levels; single asterisk (*) denotes p<0.05 significance by student T-test, n = 3 biological replicates. Displayed are mean with SD bars.

Figure 8.

Figure 8—figure supplement 1. Analysis of calcineurin A splicing during C2C12 differentiaion, Nfatc1 and Nfatc2 protein localization in C2C12, and validation of Nfatc3 antibody.

Figure 8—figure supplement 1.

(A) PSI for calcineurin A splicing events from undifferentiated (U) and days in after differentiation media was added days 1 through 4 (D1, D2, D3, D4). (B) Localization of Nfatc1 and Nfatc2 by immunofluorescence in differentiated C2C12 with ASOs. (C) Knockdown of Nfatc3 using silencer siRNAs to confirm signal of Nfatc3 antibody.
Figure 8—figure supplement 2. Sequences for antisense morpholinos and primers.

Figure 8—figure supplement 2.

(A) Morpholino sequences used for redirected splicing. (B) Primers used for splicing, genotyping, and mRNA levels.

To determine the physiological impact of the calcineurin A splicing transitions in adult skeletal muscle, we used ASOs delivered into the FDB foot pad muscle to redirect all four calcineurin A exons to the fetal splicing pattern of exon skipping. This approach allows testing the functions of specific endogenous protein isoforms without changing the overall expression level. We found that the efficiency of redirected splicing remains high for at least 4 weeks and 3 weeks provides sufficient time for the muscle to recover from the ASO delivery procedure (Giudice et al., 2016a). Three weeks after delivery of redirecting ASOs or non-targeting control ASOs, redirected splicing was assayed by RT-PCR and all four exons were found to have undergone a nearly complete switch to the fetal pattern while non-targeting ASOs had no effect (Figure 9A and B). Four non-targeted developmental splicing events were assayed (Atp2a1, Cacna1s, Prkca, Ppp1r12b) and none showed significant differences following ASO injection, demonstrating the absence of non-specific effects (Figure 9B).

Figure 9. Redirected calcineurin A splicing in adult FDB muscle.

(A) Confirmation of redirected splicing in adult FDB muscle by RT-PCR. ASO morpholinos were administered to the FDB muscle (Figure 8—figure supplement 2). (B) RT-PCR of targeted (calcineurin A) and control (Atp2a1, Cacna1s, Prkca, and Ppp1r12b) splicing events. Single asterisk (*) denotes p<0.05, *** denotes p<0.001, and n.s. denotes no statistical difference by student T-test, n = 4 mice per group. Displayed are mean with SD bars. (C) Force and calcium analysis after twitch stimulus. Peak force and half relaxation time were measured for force and peak calcium for calcium. Single asterisk (*) denotes p<0.05 significance by student T-test, n = 3–4 mice per group. Displayed are mean with SD bars. (D) Force and calcium analysis after tetanus stimuli. Peak force and half relaxation time were measured for force and peak calcium for calcium. Single asterisk (*) denotes p<0.05 significance by student T-test, n = 3–4 mice per group. Displayed are mean with SD bars. (E) Relative mRNA levels of mRNAs from Nfatc target genes in FDB muscle by RT-PCR. Single asterisk (*) denotes p<0.05 and marked are transcriptional targets nearing significance by student T-test, n = 3 mice per group. Displayed are mean with SD bars.

Figure 9.

Figure 9—figure supplement 1. Not significant (by student T-test) time to peak of force and calcium for control ASO and calcineurin A ASOs, n = 3–4 mice per group.

Figure 9—figure supplement 1.

Displayed are mean with SD bars.

To assess physiological changes from redirected calcineurin A splicing, we measured parameters of force generation and calcium handling in FDB muscle bundles three weeks after ASO delivery. Redirected splicing resulted in a significant prolongation of twitch half relaxation time and a strong trend toward increased peak twitch force and peak calcium, although these changes did not reach statistical significance (Figure 9C). There was no difference in twitch time to peak force or calcium for a twitch (Figure 9—figure supplement 1). Following peak tetanic stimulation (150 Hz), we also found a significant prolongation of the half relaxation time and a trend toward increased tetanic peak force and peak calcium (Figure 9D) (see Discussion).

To determine whether expression of the fetal calcineurin A isoforms in adult FDB muscle affected Nfatc transcriptional activity, we assayed expression of known Nfatc-targeted genes. Myh1 showed a significant change while Myh4, and Myh8 genes showed a trend that did not yh1, Myh4, and Myh8 genes. Knock down of Nfatc3 in C2C12 resulted in decreased Myh8 mRNA levels and a trend toward reduced Myh1 mRNA expression (Figure 8C). Since these genes are up-regulated in response to redirected calcineurin splicing in FDB muscle and down-regulated upon loss of NFATC3 activity in C2C12 cultures, these results strongly suggest that the fetal isoforms of at least Ppp3ca and Ppp3cb have intrinsically higher phosphatase activity than the adult isoforms, resulting in Nfat3 nuclear localization and subsequent Nfatc3 transcriptional changes iB\xBDse activity than the adult isoforms, resulting in Nfat3 nuclear localization and subsequent Nfatc3 transcriptional changes in skeletal muscle producing a prolonged relaxation time. These results also identify Nfatc3 as the family member that is likely to be primarily responsive to the fetal isoforms.

Discussion

Our analysis of postnatal skeletal muscle development indicates that both transcriptional and post-transcriptional changes, particularly alternative splicing, are highly dynamic and particularly during the first 2 weeks after birth. Seventy-nine percent of genes that undergo postnatal splicing transitions do not show significant changes in gene expression within the same time interval indicating a separation of regulated splicing and the regulation of mRNA steady state levels. That different gene sets are regulated at the level of splicing and mRNA levels has been found during other periods of physiological change including T cell activation, muscle differentiation and heart development (Giudice et al., 2014; Ip et al., 2007; Singh et al., 2014; Trapnell et al., 2010). These results support a mechanism of regulation that involves transitions of fetal to adult protein isoforms rather than a change in total gene output for a relatively large subset of genes. Genes regulated by differential expression or alternative splicing were enriched for different functional categories: mitochondrial function for differentially expressed genes and calcium handling, endocytosis, and cell junctions for genes that undergo alternative splicing transitions. The results for alternative splicing during postnatal skeletal muscle development are similar to postnatal heart development in which vesicular trafficking genes were enriched among those regulated by alternative splicing (Giudice et al., 2014; Kalsotra et al., 2008).

Calcium regulates signal transduction, muscle contraction, and cellular homeostasis. Our results indicate that calcium channels, calcium-dependent phosphatases, and calcium-dependent kinases are alternatively spliced soon after birth. Several calcium handling genes have been established as alternatively spliced such as Serca1 (Atp2a1) and the ryanodine receptor 1 (Ryr1) while most, such as calcineurin A, have not been characterized (Kimura et al., 2007; Kimura et al., 2009; Periasamy and Kalyanasundaram, 2007). We show that all three calcineurin A genes (Ppp3ca, Ppp3cb and Ppp3cc) undergo fetal to adult protein isoform transitions within the first 2 weeks after birth. Redirected splicing to the fetal patterns demonstrate that the fetal protein isoforms do not fulfill the functional requirements of adult skeletal muscle tissue in that both a significant increase in time to relaxation and a physiologically sizable, although not statistically significant, increase in peak force and calcium. Calcium activates muscle contraction and the peak isometric force is dictated by the peak amplitude of the calcium transient. Therefore, the increased peak calcium upon redirected splicing would lead to the observed increase in peak isometric force. We propose that the mechanisms of altered adult muscle function are due at least in part to altered regulation of Nfatc proteins by calcineurin A. We show that redirected splicing of Ppp3ca and Ppp3cb pre-mRNA in differentiated C2C12 myotubes leads to nuclear localization of Nfatc3, two of the three Nfatc proteins expressed in these cultures. Our results are consistent with previous results showing that calcineurin overexpression in C2C12 causes nuclear localization of Nfatc3 (Delling et al., 2000). Calcineurin-dependent nuclear localization of Nfatc activates slow-fiber-specific genes (Delling et al., 2000; Chin et al., 1998; Liu et al., 2001). We found that redirected splicing of the three calcineurin genes upregulated Myh1 in FDB muscle and knock down of Nfatc3 in differentiated C2C12 cultures resulted in down-regulation of Myh1. Two sequences similar to the predicted NFATC consensus site are found in the promoter of MyHC IIx (Chin et al., 1998). and our results are consistent with up regulation of Myh1 by increased Nfatc activity. Overall, however, redirected calcineurin splicing had a modest effect on Nfat transcription targets in vivo. A possible explanation is that NFATC proteins do not act alone but rather regulate transcription in combination with multiple factors. We forced expression of the endogenous calcineurin fetal isoforms in an otherwise adult transcriptional environment and it is likely that co-regulators and other factors required for full NFATC activity are either not expressed or are not in the appropriate active state. Overall, our results support a model in which the fetal calcineurin isoforms have higher intrinsic phosphatase activity on NFATC3 thereby promoting its activation.

Protein segments encoded by conserved tissue specific alternative exons are enriched for disordered domains more likely to affect protein-protein interactions and contain post-translation modification (PTM) sites (Ellis et al., 2012; Buljan et al., 2012). Affecting protein-protein interactions or PTMs could be a means by which calcineurin splicing events affect calcineurin activity or stability. The alternative exons could affect the ability of calcineurin A to be regulated by calmodulin or through auto-inhibition. A splice variant, calcineurin Aβ1, has a C-terminal truncation so that the auto-inhibitory domain is missing. Overexpression of this splice variant improved cardiac function in mice (Felkin et al., 2011; Gómez-Salinero et al., 2016). Calcineurin Aβ1 was not abundant in our RNA-seq analysis of skeletal muscle development, but it does give insight to functional consequences of an alternative isoform.

We also investigated the mechanisms that regulate a subset of the dramatic splicing transitions during postnatal development. We identified abrupt changes in CELF and MBNL protein levels during postnatal skeletal muscle development that temporally correlate with the splicing transitions that occur by PN14. We used hCELF1 overexpressing and Mbnl1 knockout mice to show that 72% of the calcium handling genes tested that exhibit alternative splicing transitions respond to these proteins and are likely regulated by the natural transitions in CELF and MBNL activity that occur during postnatal development. Investigations using Celf1-/- mice identified a network of CELF1-dependent splicing that correlate with heart defects in early postnatal development (Giudice et al., 2016b). CELF1 is also likely to be important for muscle regeneration as CELF1 protein increases after muscle injury and Celf1 splicing targets revert to fetal splicing patterns (Orengo et al., 2011). MBNL proteins negatively regulate embryonic stem cell-like patterns of alternative splicing, and overexpression of MBNL1 in embryonic stem cells produces a differentiation-like cell alternative splicing pattern (Han et al., 2013). Although MBNL1 and MBNL2 protein levels decrease postnatally, the activity of at least MBNL1 is proposed to increase due to nuclear localization during postnatal development (Lin et al., 2006). While we have identified splicing events that respond to changes in CELF1 and MBNL1 protein abundance, these events are not necessarily direct targets for these two RNA-binding proteins. In addition the responsiveness of these splicing events to Celf1 and Mbnl1 does not rule out regulation by other RNA-binding proteins.

A growing number of global RNA-seq analyses are revealing the extent to which conserved alternative splicing transitions are critical for tissue function (Giudice et al., 2014; Singh et al., 2014; Buljan et al., 2012; Kroeze et al., 2017; Vernia et al., 2016). In this work, we identify the dynamic transcriptome changes during skeletal muscle postnatal development and demonstrate the functional significance for the calcineurin A splicing transitions. The results demonstrate the importance of understanding the functional differences between fetal and adult protein isoforms and the contribution of these proteins to tissue remodeling to adult function.

Materials and methods

Animals

Skeletal muscle tissues were isolated from FVB wild type, MDAFrtTA/TRECUGBP1, and Mbnl1ΔE3/ΔE3 mice. We followed NIH guidelines for use and care of laboratory animals approved by Baylor College of Medicine Institutional Animal Care and Use Committee.

Skeletal muscle isolation and RNA extraction

Animals were anesthetized and euthanized either by decapitation (neonatal) or cervical dislocation (older than PN10), and gastrocnemius muscles were removed. Sex determination for animals PN7 and younger was confirmed by PCR using primers to Actin and Sry genes (sequences in Figure 8—figure supplement 2). Tissue samples were flash frozen with liquid nitrogen. Total RNA was prepared using the RNeasy fibrous tissue mini kit (Qiagen).

RNA-seq

Illumina TruSeq protocols were used to prepare libraries using total RNA (2 ug) from gastrocnemius of E18.5, PN2, PN14, PN28, and 22-week (adult) animals. The cDNA was created using the fragmented 3’-poly(A)-selected portion of total RNA and random primers. To generate the libraries, the blunt ended fragments of cDNA were attached to adenosine to the 3’-end and ligated with unique adapters to the ends. The ligated products were amplified by PCR for 15 cycles. Libraries were quantified and fragment size assessed by the NanoDrop spectrophotometer and Agilent Bioanalyzer, respectively. The libraries were amplified by qPCR to determine the concentration of adapter-ligated fragments using a Bio-Rad iCycler iQ Real-Time PCR Detection System and a KAPA Library Quant Kit. The library (11 pM) was loaded onto a flow cell and amplified by bridge amplification using Illumina cBot equipment. On a HiSeq Sequencing system, a paired-end 100-cycle run was used to sequence the flow cell.

Computational processing and bioinformatics of RNA-seq data

For the RNA-seq alignment, paired-end RNA-seq reads were aligned to the mouse genome (mm9) using TopHat 2.0.5 (Trapnell et al., 2009). For the differential gene expression analysis, RSEM was used to count the number of fragments mapped into RefSeq gene models, and edgeR was used to call differentially expressed genes with a false discovery rate less than 0.05 (RSEM: accurate transcript quantification from RNA-Seq data with or without a reference genome) (Trapnell et al., 2010; Robinson et al., 2010). Gene expression was quantified by FPKM. For differential alternative splicing analysis, isoform levels (PSI) and Bayes factors (BI) were measured by MISO (Katz et al., 2010) with ∆PSI >= 0.1 and BI >= 10. For both differential gene expression and alternative splicing analysis, data were analyzed through the use of QIAGEN’s Ingenuity Pathway Analysis (IPA, QIAGEN Redwood City, www.qiagen.com/ingenuity).

Alternative splicing validations and human conservation by RT-PCR

Human skeletal muscle RNA samples were obtained for fetal 22 week (BioChain [R1244171-50]) and adult (Clontech [636534]). Various adult mouse tissue total RNA samples (muscle, heart, uterus, testis, liver, kidney, and brain) were obtained from BioChain. For mouse and human RNAs, 2.5 ug of RNA was used for reverse transcription (RT). RT was performed by High Capacity cDNA RT Kit (Applied Biosystem) followed by PCR (GoTaq DNA Polymerase, Promega). RT-PCR products were separated by 6% PAGE. PCR reactions involved: 95°C for 3 min, 25–30 cycles of 95°C for 45 s, 55°C for 45 s, 72°C for 45 s, and 72°C for 5 min. RNA-seq data was used identify alternatively splicing regions and primers (Sigma) that anneal to the constitutive flanking exons were designed. Primers are listed in Figure 8—figure supplement 2. Ethidium bromide-stained RT-PCR bands were quantified by Kodak Gel logic 2000 and Carestream Software. PSI values were calculated by densitometry using the equation: PSI = 100 X [Inclusion band/(Inclusion band +Skipping band)]. RT-PCRs were repeated by at least two technical replicates.

Western blotting

FVB wild-type gastrocnemius tissues were lysed in HEPES-sucrose buffer (10 mM HEPES pH 7.4, 0.32 M sucrose, 1 mM EDTA and protease inhibitors) using Bullet blender (Next Advance) and SDS (final concentration of 1%) was added before sonication (3 min at 75 V for 30 s on and 30 s off). The samples were centrifuged for 10 min at 12,000 rpm at 4°C. Supernatants were transferred to new tubes, and samples were diluted in loading buffer (100 mM Tris-HCl pH 6.8, 4% SDS, 0.2% bromophenol blue, 20% glycerol, 200 mM β-mercaptoethanol) then boiled for 3 min. Pierce Compat-able BCA protein assay kit (Thermo Scientific) was used to quantify protein concentration after the addition of loading buffer. For each sample 40 μg of protein was loaded into a 10% SDS-PAGE gel. Proteins were transferred to membranes and blocked with 5% milk/0.1% Tween-PBS buffer for 1 hr, washed, and incubated overnight at 4°C with 5% milk/Tween-PBS buffer diluted primary antibodies: mouse monoclonal anti-CELF1 clone 3B1 (1:1000), CELF2 (Santa Cruz Biotechnology [sc-47731]−1:1000), Mbnl1 (LifeSpan Biosciences [LS-C30810]−1:1000), Mbnl2 (Santa Cruz Biotechnology [sc-136167]−1:1000), rabbit polyclonal anti-sarcomeric α-actinin (Abcam #ab72592-1:2,000). CELF1 and CELF2 monoclonal antibodies were conjugated to HRP using Abnova Peroxidase Labeling Kit – NH2. Non-conjugated primary antibodies were incubated the following day for 1 hr at room temperature with secondary antibodies: goat anti-mouse IgG light chain-specific HRP conjugated (Jackson Immunoresearch [#115-035-174]−1:10000) and goat anti-rabbit IgG HRP conjugated (Invitrogen, [#621234]−1:5000). Super Signal West Pico Chemilumiescent Substrate kit (Thermo Scientific) was used for developing.

ASO injection in vivo

Animal protocols were approved by IACUC at Baylor College of Medicine. FVB wild-type adult mice were anesthetized by isoflurane in a chamber and moved to a nose cone for injections. First, the FDB muscle was pretreated with hyaluronidase (0.5 mg/ml, 10 μl) injected subcutaneously. After 2 hr, morpholino ASOs (80 μg Ppp3ca ex13 3’ss, 20 μg Ppp3cb ex10a 3’ss, 20 μg Ppp3cb ex13 5’ss, and 80 μg Ppp3cc ex 10a 3’ss or 200 μg of standard control, 15 μl) (Gene-Tools, sequence in Figure 8—figure supplement 2) were injected followed by electroporation. Electroporation parameters were 150 V, 20 s duration, no delay, 1 Hz, train 0.5, and duration 400. Mice were assayed for splicing redirection by RT-PCR and other downstream assays 3 weeks after injection.

In vitro calcium and force assays

FDB lateral and medial muscle bundles were dissected away leaving the central muscle bundle and tendon. The central muscle bundle tendon was attached to a fixed hook and the other to a force transducer. The muscle was placed in physiological saline solution, continuously gassed with 95% O2/5% CO2 at 25°C, and loaded with 5 µM Fura 4 F AM (Invitrogen). After 30 min, samples were rinsed with fresh solution and then allowed to de-esterify for 30 min. The optimal muscle length (Lo) and voltage (Vmax) were adjusted to induce maximum twitch force. Twitch and tetanic force were measured at 1 and 150 Hz with pulse and train durations of 0.5 and 250 ms, respectively. Fura 4 F AM excitation (360/380 nm) and emission (510 nm) were monitored simultaneously with force-frequency characteristics. After stimulation, muscle length was measured and fiber bundles were trimmed of excess muscle and connective tissue, blotted dry, and weighed. Muscle weight and Lo were used to estimate cross sectional area and to calculate absolute forces expressed as N/cm2 (Close, 1972). To determine intracellular calcium changes during FDB stimulation, the 360/380 nm ratio was calculated.

Cell culture

C2C12 cells were maintained in DMEM with 10% FBS in six-well tissue culture plates. To differentiate cells, cultures were grown to 100% confluency, and media was changed to DMEM with 2% horse serum. To redirect splicing in C2C12, 9–15 μM morpholinos were delivered by Endo-Porter (Gene-Tools) at 50% confluency. Morpholinos and Endo-Porter were added to differentiation media after cells reached 100% confluency. Differentiated C2C12 myotubes were collected at day 4. For one biological replicate, three separate wells of control ASO and calcineurin ASOs (total of six wells) were collected for downstream experiments. Cell culture experiments were performed in at least three biological replicates.

Immunofluorescence

Undifferentiated or differentiated C2C12 cells were grown in six-well tissue culture plates containing glass coverslips. Cells were fixed with 4% paraformaldehyde in PBS for 15 min at room temperature. Fixed cells were washed with PBS 2x and permeabilized using 0.2% triton-X in PBS for 10 min. Cells were then blocked in 5% BSA in PBS at room temperature for 1 hr and incubated overnight in primary antibody in 5% BSA in PBS at 4°C. The cells were washed 3x with PBS followed by Alexa Fluor-conjugated secondary antibody incubation for 1 hr, washed 3x with PBS, DAPI stained for 5 min, and washed 3x with PBS. Deconvolution microscopy was performed by GE Healthcare Inverted Deconvolution/Image Restoration Microscope.

Statistics

For statistical analysis, at least three samples were pooled together to determine average and variance. Error bars represent the standard deviation, and student T-test was used determine significant with p>0.05. With sample size indicated in figure legends, it was confirmed experimental sample size gave at least power of 0.80 with an α of 0.05. Biological replicates refer to individual mice or separate wells for cell culture. Technical replicates refer to RT-PCR replicates from the same cDNA or RNA.

Acknowledgements

We thank Jimena Giudice (UNC) for her advice on RNA-seq analysis and FDB electroporation, Joshua Sharpe (BCM) for help on comparing alternative splicing between human and mice by RT-PCR, Kathleen Manning (BCM) for help with RNA-seq analysis, and Charles Thornton for Mbnl1ΔE3/ΔE3 mice. This project was supported by the Genomic and RNA Profiling Core at BCM and the expert assistance of the core director, Dr. Lisa D White, Ph.D. The Integrated Microscopy Core at BCM also supported this project with funding from NIH (NCI-CA125123, NIDDK-56338-13/15), Cancer Prevention Research Institute of Texas (RP150578), and John S Dunn Gulf Coast Consortium for Chemical Genomics.

Funding Statement

The funders had no role in study design, data collection and interpretation, or the decision to submit the work for publication.

Contributor Information

Thomas A Cooper, Email: tcooper@bcm.edu.

Benjamin J Blencowe, University of Toronto, Canada.

Funding Information

This paper was supported by the following grants:

  • National Institutes of Health R01AR045653 to Thomas A Cooper.

  • Muscular Dystrophy Association RG4205 to Thomas A Cooper.

  • National Institutes of Health R01HL045565 to Thomas A Cooper.

  • National Institutes of Health R01AR060733 to Thomas A Cooper.

  • National Institutes of Health T32 HL007676 to James Anthony Loehr.

  • National Institutes of Health R01HG007538 to Wei Li.

  • National Institutes of Health R01CA193466 to Wei Li.

  • National Institutes of Health R01AR061370 to George Gerald Rodney.

Additional information

Competing interests

No competing interests declared.

Author contributions

Conceptualization, Data curation, Formal analysis, Validation, Investigation, Visualization, Methodology, Writing—original draft, Project administration, Writing—review and editing.

Data curation, Software, Formal analysis, Writing—review and editing.

Data curation, Formal analysis, Methodology, Writing—review and editing.

Supervision, Writing—review and editing.

Formal analysis, Supervision, Writing—review and editing.

Conceptualization, Formal analysis, Supervision, Funding acquisition, Writing—original draft, Project administration.

Ethics

Animal experimentation: All animals were handled following the NIH Guidelines for Use and Care of Laboratory Animals that were approved by the Institutional Animal Care and Use Committee (IACUC) at Baylor College of Medicine, protocol AN-1682).

Additional files

Transparent reporting form
DOI: 10.7554/eLife.27192.020

Major datasets

The following dataset was generated:

Amy E Brinegar, author; Zheng Xia, author; Wei Li, author; Thomas A Cooper, author. Differentially modulated transcriptomes of mouse skeletal muscle (gastrocnemius) during postnatal development. 2017 https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE108402 Publicly available at NCBIGene Expression Omnibus (accession no: GSE108402)

References

  1. Agbulut O, Noirez P, Beaumont F, Butler-Browne G. Myosin heavy chain isoforms in postnatal muscle development of mice. Biology of the Cell. 2003;95:399–406. doi: 10.1016/S0248-4900(03)00087-X. [DOI] [PubMed] [Google Scholar]
  2. Al-Shanti N, Stewart CE. Ca2+/calmodulin-dependent transcriptional pathways: potential mediators of skeletal muscle growth and development. Biological reviews of the Cambridge Philosophical Society. 2009;84:637–652. doi: 10.1111/j.1469-185X.2009.00090.x. [DOI] [PubMed] [Google Scholar]
  3. Allen RE, Merkel RA, Young RB. Cellular aspects of muscle growth: myogenic cell proliferation. Journal of Animal Science. 1979;49:115–127. doi: 10.2527/jas1979.491115x. [DOI] [PubMed] [Google Scholar]
  4. Aulehla A, Pourquié O. Oscillating signaling pathways during embryonic development. Current Opinion in Cell Biology. 2008;20:632–637. doi: 10.1016/j.ceb.2008.09.002. [DOI] [PubMed] [Google Scholar]
  5. Azim S, Banday AR, Sarwar T, Tabish M. Alternatively spliced variants of gamma-subunit of muscle-type acetylcholine receptor in fetal and adult skeletal muscle of mouse. Cellular and Molecular Neurobiology. 2012;32:957–963. doi: 10.1007/s10571-012-9838-y. [DOI] [PMC free article] [PubMed] [Google Scholar]
  6. Barbosa-Morais NL, Irimia M, Pan Q, Xiong HY, Gueroussov S, Lee LJ, Slobodeniuc V, Kutter C, Watt S, Colak R, Kim T, Misquitta-Ali CM, Wilson MD, Kim PM, Odom DT, Frey BJ, Blencowe BJ. The evolutionary landscape of alternative splicing in vertebrate species. Science. 2012;338:1587–1593. doi: 10.1126/science.1230612. [DOI] [PubMed] [Google Scholar]
  7. Braun T, Gautel M. Transcriptional mechanisms regulating skeletal muscle differentiation, growth and homeostasis. Nature Reviews Molecular Cell Biology. 2011;12:349–361. doi: 10.1038/nrm3118. [DOI] [PubMed] [Google Scholar]
  8. Buck D, Hudson BD, Ottenheijm CA, Labeit S, Granzier H. Differential splicing of the large sarcomeric protein nebulin during skeletal muscle development. Journal of Structural Biology. 2010;170:325–333. doi: 10.1016/j.jsb.2010.02.014. [DOI] [PMC free article] [PubMed] [Google Scholar]
  9. Buckingham M, Bajard L, Chang T, Daubas P, Hadchouel J, Meilhac S, Montarras D, Rocancourt D, Relaix F. The formation of skeletal muscle: from somite to limb. Journal of Anatomy. 2003;202:59–68. doi: 10.1046/j.1469-7580.2003.00139.x. [DOI] [PMC free article] [PubMed] [Google Scholar]
  10. Buljan M, Chalancon G, Eustermann S, Wagner GP, Fuxreiter M, Bateman A, Babu MM. Tissue-specific splicing of disordered segments that embed binding motifs rewires protein interaction networks. Molecular Cell. 2012;46:871–883. doi: 10.1016/j.molcel.2012.05.039. [DOI] [PMC free article] [PubMed] [Google Scholar]
  11. Charlet-B N, Savkur RS, Singh G, Philips AV, Grice EA, Cooper TA. Loss of the muscle-specific chloride channel in type 1 myotonic dystrophy due to misregulated alternative splicing. Molecular Cell. 2002;10:45–53. doi: 10.1016/S1097-2765(02)00572-5. [DOI] [PubMed] [Google Scholar]
  12. Charton K, Suel L, Henriques SF, Moussu JP, Bovolenta M, Taillepierre M, Becker C, Lipson K, Richard I. Exploiting the CRISPR/Cas9 system to study alternative splicing in vivo: application to titin. Human Molecular Genetics. 2016;25:ddw280. doi: 10.1093/hmg/ddw280. [DOI] [PubMed] [Google Scholar]
  13. Chin ER, Olson EN, Richardson JA, Yang Q, Humphries C, Shelton JM, Wu H, Zhu W, Bassel-Duby R, Williams RS. A calcineurin-dependent transcriptional pathway controls skeletal muscle fiber type. Genes & Development. 1998;12:2499–2509. doi: 10.1101/gad.12.16.2499. [DOI] [PMC free article] [PubMed] [Google Scholar]
  14. Close RI. Dynamic properties of mammalian skeletal muscles. Physiological reviews. 1972;52:129–197. doi: 10.1152/physrev.1972.52.1.129. [DOI] [PubMed] [Google Scholar]
  15. Dasgupta T, Ladd AN. The importance of CELF control: molecular and biological roles of the CUG-BP, Elav-like family of RNA-binding proteins. Wiley Interdisciplinary Reviews: RNA. 2012;3:104–121. doi: 10.1002/wrna.107. [DOI] [PMC free article] [PubMed] [Google Scholar]
  16. Delling U, Tureckova J, Lim HW, De Windt LJ, Rotwein P, Molkentin JD. A calcineurin-NFATc3-dependent pathway regulates skeletal muscle differentiation and slow myosin heavy-chain expression. Molecular and Cellular Biology. 2000;20:6600–6611. doi: 10.1128/MCB.20.17.6600-6611.2000. [DOI] [PMC free article] [PubMed] [Google Scholar]
  17. Dillman AA, Hauser DN, Gibbs JR, Nalls MA, McCoy MK, Rudenko IN, Galter D, Cookson MR. mRNA expression, splicing and editing in the embryonic and adult mouse cerebral cortex. Nature Neuroscience. 2013;16:499–506. doi: 10.1038/nn.3332. [DOI] [PMC free article] [PubMed] [Google Scholar]
  18. Dubrulle J, Pourquié O. Coupling segmentation to axis formation. Development. 2004;131:5783–5793. doi: 10.1242/dev.01519. [DOI] [PubMed] [Google Scholar]
  19. Ellis JD, Barrios-Rodiles M, Colak R, Irimia M, Kim T, Calarco JA, Wang X, Pan Q, O'Hanlon D, Kim PM, Wrana JL, Blencowe BJ. Tissue-specific alternative splicing remodels protein-protein interaction networks. Molecular Cell. 2012;46:884–892. doi: 10.1016/j.molcel.2012.05.037. [DOI] [PubMed] [Google Scholar]
  20. Felkin LE, Narita T, Germack R, Shintani Y, Takahashi K, Sarathchandra P, López-Olañeta MM, Gómez-Salinero JM, Suzuki K, Barton PJ, Rosenthal N, Lara-Pezzi E. Calcineurin splicing variant calcineurin Aβ1 improves cardiac function after myocardial infarction without inducing hypertrophy. Circulation. 2011;123:2838–2847. doi: 10.1161/CIRCULATIONAHA.110.012211. [DOI] [PubMed] [Google Scholar]
  21. Franzini-Armstrong C. Simultaneous maturation of transverse tubules and sarcoplasmic reticulum during muscle differentiation in the mouse. Developmental Biology. 1991;146:353–363. doi: 10.1016/0012-1606(91)90237-W. [DOI] [PubMed] [Google Scholar]
  22. Gailly P, Boland B, Himpens B, Casteels R, Gillis JM. Critical evaluation of cytosolic calcium determination in resting muscle fibres from normal and dystrophic (mdx) mice. Cell Calcium. 1993;14:473–483. doi: 10.1016/0143-4160(93)90006-R. [DOI] [PubMed] [Google Scholar]
  23. Giudice J, Xia Z, Wang ET, Scavuzzo MA, Ward AJ, Kalsotra A, Wang W, Wehrens XH, Burge CB, Li W, Cooper TA. Alternative splicing regulates vesicular trafficking genes in cardiomyocytes during postnatal heart development. Nature Communications. 2014;5:3603. doi: 10.1038/ncomms4603. [DOI] [PMC free article] [PubMed] [Google Scholar]
  24. Giudice J, Loehr JA, Rodney GG, Cooper TA. Alternative Splicing of Four Trafficking Genes Regulates Myofiber Structure and Skeletal Muscle Physiology. Cell Reports. 2016a;17:1923–1933. doi: 10.1016/j.celrep.2016.10.072. [DOI] [PMC free article] [PubMed] [Google Scholar]
  25. Giudice J, Xia Z, Li W, Cooper TA. Neonatal cardiac dysfunction and transcriptome changes caused by the absence of Celf1. Scientific Reports. 2016b;6:35550. doi: 10.1038/srep35550. [DOI] [PMC free article] [PubMed] [Google Scholar]
  26. Gokhin DS, Ward SR, Bremner SN, Lieber RL. Quantitative analysis of neonatal skeletal muscle functional improvement in the mouse. Journal of Experimental Biology. 2008;211:837–843. doi: 10.1242/jeb.014340. [DOI] [PubMed] [Google Scholar]
  27. Gonzàlez-Porta M, Frankish A, Rung J, Harrow J, Brazma A. Transcriptome analysis of human tissues and cell lines reveals one dominant transcript per gene. Genome Biology. 2013;14:R70. doi: 10.1186/gb-2013-14-7-r70. [DOI] [PMC free article] [PubMed] [Google Scholar]
  28. Grande M, Suàrez E, Vicente R, Cantó C, Coma M, Tamkun MM, Zorzano A, Gumà A, Felipe A. Voltage-dependent K+ channel beta subunits in muscle: differential regulation during postnatal development and myogenesis. Journal of cellular physiology. 2003;195:187–193. doi: 10.1002/jcp.10203. [DOI] [PubMed] [Google Scholar]
  29. Gómez-Salinero JM, López-Olañeta MM, Ortiz-Sánchez P, Larrasa-Alonso J, Gatto A, Felkin LE, Barton PJ, Navarro-Lérida I, Ángel Del Pozo M, García-Pavía P, Sundararaman B, Giovinazo G, Yeo GW, Lara-Pezzi E. The Calcineurin Variant CnAβ1 Controls Mouse Embryonic Stem Cell Differentiation by Directing mTORC2 Membrane Localization and Activation. Cell Chemical Biology. 2016;23:1372–1382. doi: 10.1016/j.chembiol.2016.09.010. [DOI] [PubMed] [Google Scholar]
  30. Han H, Irimia M, Ross PJ, Sung HK, Alipanahi B, David L, Golipour A, Gabut M, Michael IP, Nachman EN, Wang E, Trcka D, Thompson T, O'Hanlon D, Slobodeniuc V, Barbosa-Morais NL, Burge CB, Moffat J, Frey BJ, Nagy A, Ellis J, Wrana JL, Blencowe BJ. MBNL proteins repress ES-cell-specific alternative splicing and reprogramming. Nature. 2013;498:241–245. doi: 10.1038/nature12270. [DOI] [PMC free article] [PubMed] [Google Scholar]
  31. Ip JY, Tong A, Pan Q, Topp JD, Blencowe BJ, Lynch KW. Global analysis of alternative splicing during T-cell activation. RNA. 2007;13:563–572. doi: 10.1261/rna.457207. [DOI] [PMC free article] [PubMed] [Google Scholar]
  32. Kalsotra A, Xiao X, Ward AJ, Castle JC, Johnson JM, Burge CB, Cooper TA. A postnatal switch of CELF and MBNL proteins reprograms alternative splicing in the developing heart. PNAS. 2008;105:20333–20338. doi: 10.1073/pnas.0809045105. [DOI] [PMC free article] [PubMed] [Google Scholar]
  33. Kanadia RN, Johnstone KA, Mankodi A, Lungu C, Thornton CA, Esson D, Timmers AM, Hauswirth WW, Swanson MS. A muscleblind knockout model for myotonic dystrophy. Science. 2003;302:1978–1980. doi: 10.1126/science.1088583. [DOI] [PubMed] [Google Scholar]
  34. Katz Y, Wang ET, Airoldi EM, Burge CB. Analysis and design of RNA sequencing experiments for identifying isoform regulation. Nature Methods. 2010;7:1009–1015. doi: 10.1038/nmeth.1528. [DOI] [PMC free article] [PubMed] [Google Scholar]
  35. Kimura T, Pace SM, Wei L, Beard NA, Dirksen RT, Dulhunty AF. A variably spliced region in the type 1 ryanodine receptor may participate in an inter-domain interaction. Biochemical Journal. 2007;401:317–324. doi: 10.1042/BJ20060686. [DOI] [PMC free article] [PubMed] [Google Scholar]
  36. Kimura T, Lueck JD, Harvey PJ, Pace SM, Ikemoto N, Casarotto MG, Dirksen RT, Dulhunty AF. Alternative splicing of RyR1 alters the efficacy of skeletal EC coupling. Cell Calcium. 2009;45:264–274. doi: 10.1016/j.ceca.2008.11.005. [DOI] [PMC free article] [PubMed] [Google Scholar]
  37. Kino Y, Washizu C, Oma Y, Onishi H, Nezu Y, Sasagawa N, Nukina N, Ishiura S. MBNL and CELF proteins regulate alternative splicing of the skeletal muscle chloride channel CLCN1. Nucleic Acids Research. 2009;37:6477–6490. doi: 10.1093/nar/gkp681. [DOI] [PMC free article] [PubMed] [Google Scholar]
  38. Konieczny P, Stepniak-Konieczna E, Sobczak K. MBNL proteins and their target RNAs, interaction and splicing regulation. Nucleic Acids Research. 2014;42:10873–10887. doi: 10.1093/nar/gku767. [DOI] [PMC free article] [PubMed] [Google Scholar]
  39. Kroeze Y, Oti M, van Beusekom E, Cooijmans RH, van Bokhoven H, Kolk SM, Homberg JR, Zhou H. Transcriptome Analysis Identifies Multifaceted Regulatory Mechanisms Dictating a Genetic Switch from Neuronal Network Establishment to Maintenance During Postnatal Prefrontal Cortex Development. Cerebral Cortex. 2017 doi: 10.1093/cercor/bhw407. [DOI] [PubMed] [Google Scholar]
  40. Lee JE, Cooper TA. Pathogenic mechanisms of myotonic dystrophy. Biochemical Society Transactions. 2009;37:1281–1286. doi: 10.1042/BST0371281. [DOI] [PMC free article] [PubMed] [Google Scholar]
  41. Lin X, Miller JW, Mankodi A, Kanadia RN, Yuan Y, Moxley RT, Swanson MS, Thornton CA. Failure of MBNL1-dependent post-natal splicing transitions in myotonic dystrophy. Human Molecular Genetics. 2006;15:2087–2097. doi: 10.1093/hmg/ddl132. [DOI] [PubMed] [Google Scholar]
  42. Liu Y, Cseresnyés Z, Randall WR, Schneider MF. Activity-dependent nuclear translocation and intranuclear distribution of NFATc in adult skeletal muscle fibers. The Journal of Cell Biology. 2001;155:27–40. doi: 10.1083/jcb.200103020. [DOI] [PMC free article] [PubMed] [Google Scholar]
  43. Lu S, Borst DE, Horowits R. Expression and alternative splicing of N-RAP during mouse skeletal muscle development. Cell Motility and the Cytoskeleton. 2008;65:945–954. doi: 10.1002/cm.20317. [DOI] [PMC free article] [PubMed] [Google Scholar]
  44. Mankodi A, Takahashi MP, Jiang H, Beck CL, Bowers WJ, Moxley RT, Cannon SC, Thornton CA. Expanded CUG repeats trigger aberrant splicing of ClC-1 chloride channel pre-mRNA and hyperexcitability of skeletal muscle in myotonic dystrophy. Molecular Cell. 2002;10:35–44. doi: 10.1016/S1097-2765(02)00563-4. [DOI] [PubMed] [Google Scholar]
  45. Merkin J, Russell C, Chen P, Burge CB. Evolutionary dynamics of gene and isoform regulation in Mammalian tissues. Science. 2012;338:1593–1599. doi: 10.1126/science.1228186. [DOI] [PMC free article] [PubMed] [Google Scholar]
  46. Ohsawa N, Koebis M, Suo S, Nishino I, Ishiura S. Alternative splicing of PDLIM3/ALP, for α-actinin-associated LIM protein 3, is aberrant in persons with myotonic dystrophy. Biochemical and Biophysical Research Communications. 2011;409:64–69. doi: 10.1016/j.bbrc.2011.04.106. [DOI] [PubMed] [Google Scholar]
  47. Ontell M, Feng KC, Klueber K, Dunn RF, Taylor F. Myosatellite cells, growth, and regeneration in murine dystrophic muscle: a quantitative study. The Anatomical Record. 1984;208:159–174. doi: 10.1002/ar.1092080203. [DOI] [PubMed] [Google Scholar]
  48. Orengo JP, Ward AJ, Cooper TA. Alternative splicing dysregulation secondary to skeletal muscle regeneration. Annals of Neurology. 2011;69:681–690. doi: 10.1002/ana.22278. [DOI] [PMC free article] [PubMed] [Google Scholar]
  49. Periasamy M, Kalyanasundaram A. SERCA pump isoforms: their role in calcium transport and disease. Muscle & Nerve. 2007;35:430–442. doi: 10.1002/mus.20745. [DOI] [PubMed] [Google Scholar]
  50. Pickrell JK, Pai AA, Gilad Y, Pritchard JK. Noisy splicing drives mRNA isoform diversity in human cells. PLoS Genetics. 2010;6:e1001236. doi: 10.1371/journal.pgen.1001236. [DOI] [PMC free article] [PubMed] [Google Scholar]
  51. Relaix F, Zammit PS. Satellite cells are essential for skeletal muscle regeneration: the cell on the edge returns centre stage. Development. 2012;139:2845–2856. doi: 10.1242/dev.069088. [DOI] [PubMed] [Google Scholar]
  52. Robinson MD, McCarthy DJ, Smyth GK. edgeR: a Bioconductor package for differential expression analysis of digital gene expression data. Bioinformatics. 2010;26:139–140. doi: 10.1093/bioinformatics/btp616. [DOI] [PMC free article] [PubMed] [Google Scholar]
  53. Singh RK, Xia Z, Bland CS, Kalsotra A, Scavuzzo MA, Curk T, Ule J, Li W, Cooper TA. Rbfox2-coordinated alternative splicing of Mef2d and Rock2 controls myoblast fusion during myogenesis. Molecular Cell. 2014;55:592–603. doi: 10.1016/j.molcel.2014.06.035. [DOI] [PMC free article] [PubMed] [Google Scholar]
  54. Sultana N, Dienes B, Benedetti A, Tuluc P, Szentesi P, Sztretye M, Rainer J, Hess MW, Schwarzer C, Obermair GJ, Csernoch L, Flucher BE. Restricting calcium currents is required for correct fiber type specification in skeletal muscle. Development. 2016;143:1547–1559. doi: 10.1242/dev.129676. [DOI] [PMC free article] [PubMed] [Google Scholar]
  55. Trapnell C, Pachter L, Salzberg SL. TopHat: discovering splice junctions with RNA-Seq. Bioinformatics. 2009;25:1105–1111. doi: 10.1093/bioinformatics/btp120. [DOI] [PMC free article] [PubMed] [Google Scholar]
  56. Trapnell C, Williams BA, Pertea G, Mortazavi A, Kwan G, van Baren MJ, Salzberg SL, Wold BJ, Pachter L. Transcript assembly and quantification by RNA-Seq reveals unannotated transcripts and isoform switching during cell differentiation. Nature Biotechnology. 2010;28:511–515. doi: 10.1038/nbt.1621. [DOI] [PMC free article] [PubMed] [Google Scholar]
  57. Tress ML, Abascal F, Valencia A. Alternative Splicing May Not Be the Key to Proteome Complexity. Trends in Biochemical Sciences. 2017;42:98–110. doi: 10.1016/j.tibs.2016.08.008. [DOI] [PMC free article] [PubMed] [Google Scholar]
  58. Vernia S, Edwards YJ, Han MS, Cavanagh-Kyros J, Barrett T, Kim JK, Davis RJ. An alternative splicing program promotes adipose tissue thermogenesis. eLife. 2016;5:1986. doi: 10.7554/eLife.17672. [DOI] [PMC free article] [PubMed] [Google Scholar]
  59. Wang ET, Ward AJ, Cherone JM, Giudice J, Wang TT, Treacy DJ, Lambert NJ, Freese P, Saxena T, Cooper TA, Burge CB. Antagonistic regulation of mRNA expression and splicing by CELF and MBNL proteins. Genome Research. 2015;25:858–871. doi: 10.1101/gr.184390.114. [DOI] [PMC free article] [PubMed] [Google Scholar]
  60. Ward AJ, Rimer M, Killian JM, Dowling JJ, Cooper TA. CUGBP1 overexpression in mouse skeletal muscle reproduces features of myotonic dystrophy type 1. Human Molecular Genetics. 2010;19:3614–3622. doi: 10.1093/hmg/ddq277. [DOI] [PMC free article] [PubMed] [Google Scholar]
  61. White RB, Biérinx AS, Gnocchi VF, Zammit PS. Dynamics of muscle fibre growth during postnatal mouse development. BMC Developmental Biology. 2010;10:21. doi: 10.1186/1471-213X-10-21. [DOI] [PMC free article] [PubMed] [Google Scholar]

Decision letter

Editor: Benjamin J Blencowe1

In the interests of transparency, eLife includes the editorial decision letter and accompanying author responses. A lightly edited version of the letter sent to the authors after peer review is shown, indicating the most substantive concerns; minor comments are not usually included.

Thank you for submitting your article "Extensive alternative splicing transitions during postnatal skeletal muscle development are required for Ca2+ handling" for consideration by eLife. Your article has been reviewed by three peer reviewers, and the evaluation has been overseen by a Reviewing Editor and James Manley as the Senior Editor. The reviewers have opted to remain anonymous.

The reviewers have discussed the reviews with one another and the Reviewing Editor has drafted this decision to help you prepare a revised submission.

In this study, the authors investigate transcriptomic changes that accompany post-natal muscle development. Using RNA-seq to profile five developmental stages, the authors identify large numbers of gene expression and alternative splicing changes that accompany muscle development. In both instances, the most pronounced changes occur during the first two weeks after birth. Similar to what has been demonstrated for other developmental processes, the authors show that the events that change at the level of expression and splicing are largely non-overlapping and affect distinct GO categories. Interestingly, alternative splicing appears to target multiple genes involved in calcium handling. To assess the implications for muscle function, the authors focus their attention on four alternative exons located in three calcineurin A genes (Ppp3ca, Ppp3cb, and Ppp3cc). The authors show that reverting calcineurin A splicing to fetal-like patterns using antisense oligos leads to changes in Nfatc cellular localization in C2C12 cells. They conclude that the corresponding transcriptional changes are responsible for the altered FDB muscle relaxation times they observe in mice.

Understanding the functional consequences of developmental splicing changes is of considerable interest. Given the central role of calcium in muscle function, the concentration of splicing events in diverse calcium-handling genes identified in this study may thus critically affect muscle function through a variety of mechanisms. The authors provide initial evidence suggesting that alternative splicing in calcineurin impacts Nfatc localization and thus, transcription of Nfatc-target genes. The authors are asked to further support these conclusions, as well as to address additional concerns listed below, prior to publication.

Essential revisions:

1) The authors conclusions are based on bringing together results from two separate experiments performed in two independent systems: they observe changes in Nfatc localization in C2C12 cells following splicing reversion of two calcineurin exons and they observe changes in Nfatc-dependent gene expression in mice following splicing reversion of all four calcineurin exons. Although the effects on Nfatc3 localization in Figure 8b appear dramatic, the quantification indicates that the increase in the nuclear fraction of Nfatc2 and Nfatc3 following ASO treatment is only ~2 and 3%, respectively. It is unclear if these changes are sufficient to impact Nfatc-dependent gene expression. As such, it is recommended that the authors test expression of Nfatc targets specifically in this system to determine whether these changes are sufficient. Also, while the 10a exons do not change during C2C12 differentiation, it is possible that forcing their skipping in this system in addition to exons 13 would increase the magnitude of the observed effect. The complementary experiment would be to assay Nfatc localization in mice treated with ASOs.

2) While the authors conclude that alternative splicing leads to changes in Nfatc-dependent transcription in mice, they report significant transcriptional changes in only one Nfatc-target gene (MyHC IIx) of 9 genes tested. The authors do not provide an explanation for why they think only one Nfatc gene is affected. It is recommended that they determine whether the observed change is Nfatc-dependent by repeating the experiment in the context of Nfatc knockdown (perhaps more feasible in C2C12 cells).

3) The role of CELF and MBNL proteins in the P2-P14 alternative splicing changes should be clarified. The correlation between expression of CELF1, CELF2, MBNL1 and MBNL2 and the identified splicing changes could be explained better. Figure 6A indicates that the levels of these RBPs decrease sharply after P7 and remain low into the adulthood. In Figure 2, what are the ages of mice used for P2-P14 samples? Are these samples from several mice? If the data are divided further into P2-P7 vs. P8-P14, are bigger splicing differences observed? In Figure 2B, the data could be better explained, at least in legends. What are the events shown in the bottom part, changes observed in multiple stages? Also, what is the fraction of the alternative splicing events shown in Figure 2B for P2-P14 (top half of the diagram) that have binding sites of CELF and MBNL in their pre-mRNAs? What about Figure 6B? The question is whether these RBPs are directly involved in regulating the splicing events. There are also two concerns regarding data shown in Figure 6. First, what is the rationale of decreasing MBNL1, as its level also decreases after P7? Second, the protein levels of the over-expression and gene deletion experiments should be shown in this study. The authors cited their own paper for the over-expression study and a paper on gene deletion from the Swanson laboratory. It is important to know the protein levels in the experiments in the current study. Is calcineurin a target of CELF or MBNL? Are there binding sites for these proteins?

eLife. 2017 Aug 11;6:e27192. doi: 10.7554/eLife.27192.025

Author response


Essential revisions:

1) The authors conclusions are based on bringing together results from two separate experiments performed in two independent systems: they observe changes in Nfatc localization in C2C12 cells following splicing reversion of two calcineurin exons and they observe changes in Nfatc-dependent gene expression in mice following splicing reversion of all four calcineurin exons. Although the effects on Nfatc3 localization in Figure 8b appear dramatic, the quantification indicates that the increase in the nuclear fraction of Nfatc2 and Nfatc3 following ASO treatment is only ~2 and 3%, respectively.

We agree that the quantitation in Figure 8 seems to under represent the strong change in nuclear accumulation of Nfatc3 that is quite apparent visually and indicated a change in Nfatc2 nuclear localization that is not visually apparent. Given the discrepancy between the clear shift of Nfatc3 compared to Nfatc2, we re-evaluated the details of the experiment and conclude that we do not have sufficient confidence in the microscopy quantitation to present it for publication. Nfatc2 and Nfatc3 localization was quantified comparing nuclear to cytoplasmic signals in five to six randomly selected images. The analysis was of all nuclei in the field including multinucleated myotubes (the cells of interest) and residual undifferentiated mononucleated cells. This raises one issue of background from non-differentiated cells. The Nfatc3 antibody was validated by siRNA knock down (Figure 8—figure supplement 1) so we are confident of the Nfatc3 reagent. Our RNA-seq data [Mol. Cell 55, 592–603 (2014)] shows that Nfatc2 mRNA levels are very low in our C2C12 cultures and our RNA-seq data also shows that Nfatc1 is 2.7 times lower than Nfatc3. Therefore, it is very likely that Nfatc3 is by far the major Nfatc isoform expressed in our differentiated C2C12 cultures and its nuclear localization is strongly affected by redirected splicing of the calcineurin splicing events. We have therefore focused on the clear shift to nuclear accumulation of Nfatc3 presented in Figure 8B.

It is unclear if these changes are sufficient to impact Nfatc-dependent gene expression. As such, it is recommended that the authors test expression of Nfatc targets specifically in this system to determine whether these changes are sufficient.

The same suggestion to assay Nfatc targets after a Nfatc knock down was also raised below in point #2 and we agree that this is an important test. We performed knocked down of Nfatc3 in differentiated C2C12 cultures followed by analysis of Nfatc transcriptional targets to “determine whether the observed change is Nfatc-dependent” as suggested in point #2. We focused on MyHC IIx, MyHC IIb, and MyHC fetal as Nfatc targets in C2C12 since the mRNA levels of these genes were significantly affected or trended toward significant change in response to ASO redirected splicing in mouse FDB muscle (Figure 9C). Nfatc3 knock down showed a significant down regulation of MyHC fetal mRNA levels and trending down regulation of MyHC IIx (p = 0.11). These new results are now presented in Figure 8C.

To summarize, we saw down regulation of MyHC IIx (trending) and MyHC fetal (significant) in Nfatc3 knock down in C2C12 (Figure 8C) and we saw up regulation of MyHC IIx (significant) and MyHC fetal (trending) when calcineurin splicing is redirected in FDB muscle (Figure 9E). Therefore, our in vivo and in vitro results are wholly consistent with a model in which redirected calcineurin splicing results in activation and nuclear localization of Nfatc (Figure 8B) correlating with increased expression of Nfatc targets.

Also, while the 10a exons do not change during C2C12 differentiation, it is possible that forcing their skipping in this system in addition to exons 13 would increase the magnitude of the observed effect.

Of the three calcineurin genes, Ppp3ca does not have an alternative exon 10a and the level of inclusion of exons 10a in Ppp3cb and Ppp3cc remain low in differentiated cultures compared to exon 13 (RT-PCR analysis for splicing of these exons is now presented in Figure 8—figure supplement 1 as suggested by reviewers, below). While there could be a small effect of forcing exon skipping of exon 10a in Ppp3cb and Ppp3cc in C2C12, we felt that this would not substantially add to the dramatic effect of Nfatc3 nuclear localization shown in Figure 8B.

The complementary experiment would be to assay Nfatc localization in mice treated with ASOs.

While this result would add another connection between in vitro and in vivo experimental systems, we were unable to perform the experiment due to technical and timing issues. However, our new results show that knock down of Nfatc3 in differentiated C2C12 cultures affects the same targets that are affected by redirected splicing in mouse FDB muscle. The specificity of the result is worth highlighting: redirected splicing of only 4 exons in 3 endogenous calcineurin genes in muscle tissue correlates with increased expression of two Nfatc target genes in the tissue. These same genes are also down regulated by knock down of Nfatc3 in differentiated C2C12 cultures. Furthermore, redirected splicing of calcineurin genes in C2C12 produces nuclear localization of Nfatc3 consistent with the observed up-regulation of the Nfatc targets in FDB muscle in which calcineurin splicing is redirected. We believe that these results strongly support the role for Nfatc activation in response to calcineurin splicing both in the vivo and in vitro experimental systems.

2) While the authors conclude that alternative splicing leads to changes in Nfatc-dependent transcription in mice, they report significant transcriptional changes in only one Nfatc-target gene (MyHC IIx) of 9 genes tested. The authors do not provide an explanation for why they think only one Nfatc gene is affected.

One explanation for the low number of Nfatc transcription targets affected is the fact that Nfatc transcription factors function in combination with multiple factors. We forced expression of the endogenous calcineurin fetal isoforms in an otherwise adult transcriptional environment and it is likely that co-regulators and other factors required for full Nfatc activity are either not expressed or are not in the appropriate active state. We have briefly mentioned this point in the Discussion.

It is recommended that they determine whether the observed change is Nfatc-dependent by repeating the experiment in the context of Nfatc knockdown (perhaps more feasible in C2C12 cells).

As discussed above, we have performed this experiment and the results have strengthened our conclusions. We thank the reviewer for the suggestion.

3) The role of CELF and MBNL proteins in the P2-P14 alternative splicing changes should be clarified. The correlation between expression of CELF1, CELF2, MBNL1 and MBNL2 and the identified splicing changes could be explained better.

Thank you for pointing out the lack of clarity. We reworded the section and also found that we had cited the wrong supplementary figure that likely added to the confusion.

Figure 6A indicates that the levels of these RBPs decrease sharply after P7 and remain low into the adulthood. In Figure 2, what are the ages of mice used for P2-P14 samples? Are these samples from several mice? If the data are divided further into P2-P7 vs. P8-P14, are bigger splicing differences observed?

In Figure 2, the samples designated as P2-P14, for example, means that RNA-seq data from one time point (PN2) was compared to RNA-seq data from a second time point (PN14) so each RNA-seq sample is from one time point and not a pool of different time points. The details for the numbers and genders of mice used for each time point are presented in Table 1 and the text and Figure legend now makes this designation clear and clarifies that the RNA-seq data in Figure 2 is from samples shown in Table 1. Analysis was not further divided to compare PN2 to PN7 and PN7 to PN14 since there was not a PN7 time point used for RNA-seq.

In Figure 2B, the data could be better explained, at least in legends. What are the events shown in the bottom part, changes observed in multiple stages?

In panels A, B and C of Figure 2, the designation E18.5 to PN2 or PN2 to PN14, as examples, refers to comparisons of RNA-seq data collected at two different time points (e.g., 18.5, PN2, PN14, PN28 and adult). This designation does not reflect pooled samples of different stages. We have clarified this in the figure legend and in the description of the data in the text.

Also, what is the fraction of the alternative splicing events shown in Figure 2B for P2-P14 (top half of the diagram) that have binding sites of CELF and MBNL in their pre-mRNAs? What about Figure 6B? The question is whether these RBPs are directly involved in regulating the splicing events.

We analyzed CLIP data for CELF1 and MBNL1 from mouse skeletal muscle and differentiated C2C12 [Cell 150, 710–724 (2012), Genome Res. 25, 858–871 (2015)]. We analyzed CLIP data for CELF1 from adult mouse skeletal muscle and for MBNL1 from differentiated C2C12 cultures since the MBNL1 data from C2C12 was much better than from muscle. We searched for CELF1 and MBNL1 binding sites within 100, 500, 1000, 1500, and 2000nt of the regulated exons in Figure 2B (203 cassette exons that change at least ∆PSI 20 percentage points between PN2 and PN14). We found that of the 203 cassette exons, 39 and 52 exons were enriched for local CELF1 or MBNL1 binding sites, respectively within 1000 nt of the exon.

With regards to 18 genes listed in Figure 6B, two of the six genes significantly responsive to CELF1 were associated with CELF1 CLIP tags and three of the nine genes responsive to loss of Mbnl1 were associated with Mbnl1 CLIP tags. There were also several genes that contained CELF1 and/or MBNL1 CLIP tags that were not responsive to either protein.

While it is gratifying that there is enrichment for CLIP tags for both CELF1 and MBNL1 among postnatally regulated cassette exons, we feel this does not substantially add to the manuscript. The data is consistent with the proposal that, analyzed as a group, a subset of exons that transition during postnatal development are direct targets but it is difficult to go beyond this general statement without direct functional validation of individual genes. In particular, with regards to the 18 genes listed in Figure 6B, the general lack of correlation between binding sites and responsiveness is fraught with possible false positives and false negatives and might not be truly reflective of direct versus indirect effects. We have included this CLIP data for the reviewers in our response as excel file (CLIP_CELF1_MBNL1.xlsx) showing the number and positions of CLIP tags. Which of the splicing events that respond to changes in CELF or MBNL activities are direct targets is certainly of interest, but the main point for us is that there are substantial changes in the activities of the CELF and MBNL families during postnatal muscle development and there are resultant splicing consequences that have the potential to impact tissue physiology.

There are also two concerns regarding data shown in Figure 6. First, what is the rationale of decreasing MBNL1, as its level also decreases after P7?

Immunofluorescence results in mouse skeletal muscle from Charles Thornton’s lab showed that Mbnl1 translocates from the cytoplasm to the nucleus after birth [Lin, X. et al., 2006]. Therefore, while we show reduced Mbnl1 protein expression in adult compared to early postnatal muscle, Mbnl1 nuclear activity is likely to increase postnatally. In addition, Mbnl1 protein is low but readily detectable in adult and furthermore loss of Mbnl1 in the Mbnl1 knock out line used for our molecular analysis has phenotypes produced by splicing abnormalities including myotonia due to failure to express the adult splicing pattern of the muscle specific chloride gene. Therefore, the level of Mbnl1 in adult muscle is functionally relevant.

Second, the protein levels of the over-expression and gene deletion experiments should be shown in this study. The authors cited their own paper for the over-expression study and a paper on gene deletion from the Swanson laboratory. It is important to know the protein levels in the experiments in the current study.

As requested by the reviewer, we have included western blots showing the level of CELF1 protein overexpression in induced transgenic compared to control muscle in Figure 6—figure supplement 1A. The protein extracts for the western blots are from the same tissues from which RNA was extracted for the RT-PCR results shown in Figure 6. This figure also includes western blots for Mbnl1 that did not detect protein in the homozygous knock out animals. As previously demonstrated by our lab [Hum. Mol. Genet. 19, 3614–3622 (2010)], CELF1 was overexpressed approximately 8-fold in animals induced using the same conditions as was used for our studies and is shown in Figure 6—figure supplement 1A.

Is calcineurin a target of CELF or MBNL? Are there binding sites for these proteins?

All three calcineurin genes responded to CELF1 overexpression and only Ppp3cc responded to loss of Mbnl1 (Figure 6B). The CLIP analysis noted above found CELF1 CLIP tags near the exons 13 of Ppp3cb and Ppp3ca. While Ppp3cb exon 13 showed a trend in response to CELF1 overexpression the change did not reach statistical significance. Ppp3ca had one MBNL1 CLIP tag within 500 nucleotides of exon 13 that did not respond to Mbnl1 knock out. Therefore, there is not a strong correlation between binding detected by CLIP analysis in adult muscle and responsiveness of calcineurin splicing. However, as noted above, CLIP analysis is informative for a survey of a large number of genes but requires additional analyses when investigating the question of direct regulation for individual genes. We conclude that the results are too preliminary to rule out direct regulation.

Associated Data

    This section collects any data citations, data availability statements, or supplementary materials included in this article.

    Supplementary Materials

    Transparent reporting form
    DOI: 10.7554/eLife.27192.020

    Articles from eLife are provided here courtesy of eLife Sciences Publications, Ltd

    RESOURCES