Liangji Li1,2, Michelle Rozo1,2, Sibiao Yue1,2, Xiaobin Zheng2, Frederick J Tan2, Christoph Lepper3, Chen-Ming Fan4,5. 1. Department of Biology, Johns Hopkins University, Baltimore, MD, USA. 2. Department of Embryology, Carnegie Institution for Science, Baltimore, MD, USA. 3. Department of Physiology and Cell Biology, College of Medicine, Ohio State University, Columbus, OH, USA. 4. Department of Biology, Johns Hopkins University, Baltimore, MD, USA. fan@carnegiescience.edu. 5. Department of Embryology, Carnegie Institution for Science, Baltimore, MD, USA. fan@carnegiescience.edu.
Abstract
Muscle undergoes progressive weakening and regenerative dysfunction with age due in part to the functional decline of skeletal muscle stem cells (MuSCs). MuSCs are heterogeneous but whether their gene expression changes with age and the implication of such changes are unclear. Here we show that in mice, Growth arrest-specific gene 1 (Gas1) is expressed in a small subset of young MuSCs with its expression progressively increasing in larger fractions of MuSCs later in life. Over-expression of Gas1 in young MuSCs and inactivation of Gas1 in aged MuSCs support that Gas1 reduces the quiescence and self-renewal capacity of MuSCs. Gas1 reduces Ret signaling, which is required for MuSC quiescence and self-renewal. Indeed, we show that the Ret ligand, Glial Cell-Derived Neurotrophic Factor (GDNF), can counteract Gas1 by stimulating Ret signaling and enhancing MuSC self-renewal and regeneration, thus improving muscle function. We propose that strategies aimed to target this pathway can be exploited to improve the regenerative decline of muscle stem cells.
Muscle undergoes progressive weakening and regenerative dysfunction with age due in part to the functional decline of skeletal muscle stem cells (MuSCs). MuSCs are heterogeneous but whether their gene expression changes with age and the implication of such changes are unclear. Here we show that in mice, Growth arrest-specific gene 1 (Gas1) is expressed in a small subset of young MuSCs with its expression progressively increasing in larger fractions of MuSCs later in life. Over-expression of Gas1 in young MuSCs and inactivation of Gas1 in aged MuSCs support that Gas1 reduces the quiescence and self-renewal capacity of MuSCs. Gas1 reduces Ret signaling, which is required for MuSC quiescence and self-renewal. Indeed, we show that the Ret ligand, Glial Cell-Derived Neurotrophic Factor (GDNF), can counteract Gas1 by stimulating Ret signaling and enhancing MuSC self-renewal and regeneration, thus improving muscle function. We propose that strategies aimed to target this pathway can be exploited to improve the regenerative decline of muscle stem cells.
Heterogeneity of a stem cell population underlies a biological strategy to
generate functional diversity. Stem cell heterogeneity can originate from distinct
developmental origins, differential niche interactions, or dynamic epigenetic
states[1-3]. For the MuSCs/progenitors, cell-lineage
tracing in adult mice has identified two stem/progenitor cell origins marked by the
expression of Pax7 and Twist2[4,5]. While the
Twist2-lineage contributes
exclusively to type IIb/x myofibers[5], cell ablation studies conclude that the Pax7-expressing
(Pax7+) population is indispensable for general muscle
regeneration[6-9]. Adult MuSCs/progenitors have also
been characterized by various combinations of surface markers[10-12], and those with different marker combinations display different
myogenic properties in vitro and after engraftment[10]. In addition, MuSCs expressing high versus
low levels of a Pax7 reporter (Pax7:nGFP) are functionally distinct
in vitro and by serial transplantation[13]. These studies in juvenile and young adult mice demonstrate how
heterogeneity underlies functional and cell type diversity. How variable levels of
expression of a given gene within a cell population are governed to effect
differential function is of intrigue.During the aging process, MuSCs eventually decline in cell number and
function[14,15]. Cultured aged MuSCs, relative to the young,
have lower proliferation and self-renewal capacity, as well as higher propensity for
differentiation[16,17]. However, it is unknown whether or
how such decline is linked to changing heterogeneity in the stem cell population.
When assessed as a whole population, young and aged MuSCs show substantial
differences in gene expression and epigenetic state[18], reflecting a combined effect of
age-associated changes in systemic factors, local niche environment and cell
intrinsic properties. While this approach uncovers candidate MuSCs regulators based
on averaged differences in expression level, it does not distinguish whether the
difference is due to changes of gene expression levels in all cells or due to
changes in the fraction of cells with the same expression level, or both. If a
gene-specific MuSC sub-fraction exists, will the fraction change with age? Will such
a gene impact MuSC function with time? If so, what is the underlying mechanism?
Serendipitously, we answered these questions by studying the role of Growth
arrest-specific gene 1, Gas1, which encode a GPI-anchored plasma
membrane protein[19], in mouse
MuSCs. We find that Gas1-expressing (Gas1+) MuSC sub-population is
dynamic and increases with age. Evidence is provided that functional decline of
MuSCs is associated with Gas1 expression, in particular for their quiescence and
self-renewal. We further link Gas1 to repressed Ret signaling, which is needed for
robust MuSC function. Importantly, GDNF, a ligand for Ret, can counter the
repressive action of Gas1 and enhance MuSC’s regenerative function.
Results
Gas1 expression in the MuSC population changes with age
We had intended to explore a potential role for Gas1 in MuSC quiescence
for it is a G0 indicator and can inhibit S phase entry when over-expressed in
cell lines[20], and it was
documented to be expressed in quiescent MuSCs[21]. Surveying Gas1 expression using a LacZ
knock-in allele[22], we found
that β-Gal reporter is expressed in a small fraction of young
Pax7+ MuSCs, the fraction increases with age, and eventually
almost all aged MuSCs are β-Gal+(Fig. 1a; Supplementary Fig. 1a). The kinetics does not follow the timing of
MuSC quiescence or aging: At 2 month (m) of age when MuSCs are quiescent, only
~40% of them are β-Gal+ (Supplementary Fig. 1b–d), whereas at 6 –
12 m when MuSCs are robust for regeneration, ~80–90% of them are
already β-Gal+. We used fluorescent activated cell sorting
(FACS) to confirm Gas1+ versus Gas1– subpopulations
in young MuSCs, compared to mostly Gas1+ aged MuSCs; β-Gal
faithfully follows Gas1 expression (Supplementary Fig. 1e,f). The kinetics of
β-Gal+ (i.e. Gas1+) MuSCs may reflect a long
maturation process that continues into aged state.
Fig. 1 |
Gas1 associates with aging-like properties of MuSCs.
a, Percentages of β-Gal+Pax7+
in total Pax7+ MuSCs in
Gas1 TA muscles at
specified ages (n = 5). b, Experimental schemes for young (Yng)
control (Ctrl) and Gas1 pan-expression (Gas1EX); aged (Aged) Ctrl and Gas1
knock-out (Gas1KO) mice by
Pax7-directed, Tmx-induced
expression; + and – indicate with and without injury, respectively, to
the TA muscle. The R26 reporter
allele was included for cell marking. c, Averaged Pax7+
MuSCs per fiber for uninjured and injured muscle sections from Yng Ctrl and
Gas1EX mice as specified in (b) (n = 5). d, Averaged
MyoG+YFP+ cells per field (1.074 mm[2]) of Yng Ctrl and Gas1EX TA muscle
sections at 7 d post Tmx without injury (n = 5). e, Representative
images of TA muscle stained with H&E from Yng Ctrl and Gas1EX mice.
f, Averaged fiber size from data in (e) (n = 5).
g, Averaged Pax7+ MuSCs per fiber from uninjured and
injured muscles from Aged Ctrl and Gas1KO mice (n = 5). h,
Representative H&E stained images of TA muscle sections from Aged Ctrl and
Gas1KO mice. i, Averaged fiber sizes from data in (h)
(n = 5). j, Distribution of self-renewed
(Pax7+MyoD–), proliferating
(Pax7+MyoD+), and differentiated
(Pax7–MyoD+) fractions in single myofiber (SM)
cultures after 96 h; myogenic cells are lineage-marked by YFP (n = 3
experiments; ≥ 20 myofibers per condition). For simplicity, legend
labeling of negative marker (Pax7– or MyoD–)
is omitted. k, Normalized specific twitch force
(sPt) and specific maximum tetanic forces
(sPo) of specified groups (n = 7 for Yng Ctrl uninjured; n
= 8 for Yng Ctrl 1mpi, Yng Gas1EX 1mpi, Aged Gas1KO 1mpi; n = 12 for Aged Ctrl
uninjured; n = 6 for Aged Ctrl 1mpi). Data are mean ± s.d.; adjusted
P values are shown; by one-way ANOVA (a,
k); two-way ANOVA (c, f,
g, i, j) and unpaired two-tailed t
test (d). Scale bars, 150 μm (e,
h).
Gas1+ MuSCs have inferior function than Gas1–
MuSCs in vitro
If Gas1 expression merely reflects maturation timing without functional
consequences, Gas1+ and Gas1– MuSCs in young mice
should be functionally equivalent. To evaluate this, we isolated
β-Gal+ and β-Gal– MuSCs from 2 m
young mice, and found that the former displayed lower proliferation index and
higher propensity to differentiate in culture, compared to the latter (Supplementary Fig.
1g–j). Thus, Gas1 is negatively associated with MuSC function in vitro.
Yet, such association does not appear reflected in vivo as mature adults with
the majority of Gas1+ MuSC regenerate effectively. We therefore
postulate that extrinsic factors exist in vivo to counter or mask the inferior
properties of Gas1+ MuSCs revealed in vitro.
Gas1 negatively impacts MuSC and muscle regeneration
To test whether Gas1 plays an instructive role to MuSC
dysfunction in vivo, we designed experiments in young and aged contexts when
MuSCs are well known to be robust versus compromised, respectively. For forced
pan-expression of Gas1 in young MuSCs, we used a
Pax7
(Pax7)-driven, tamoxifen
(Tmx)-inducible strategy[7] for
pan-expression of a Gas1 transgene in young MuSCs; hereafter referred to as
Gas1EX (Fig. 1b; Supplementary Fig. 2a,b). MuSC activation and
loss were found (Fig. 1c; Supplementary Fig. 2c,d,f). Ectopic expression of the
differentiation marker MyoG was also observed (Fig. 1d; Supplementary Fig. 2e). We then injured the tibialis anterior (TA)
muscles of Gas1EX mice by cardiotoxin (CTX). Smaller regenerative myofibers were
observed, compared to the young control (Fig.
1e,f). Reduced Pax7+
cells in Gas1EX regenerates were also found (Fig.
1c; Supplementary
Fig. 2f). Thus, pan-expression of Gas1 in young MuSC population
results in breaking quiescence, cell loss, and defective regeneration. These
results indicate that forced Gas1 expression can drive MuSC dysfunction in young
mice, presumably by overriding extrinsic counteracting factors postulated
above.Given that Gas1 is expressed in almost all aged MuSCs, we next examined
whether inactivation of Gas1 in MuSCs would improve
regenerative function in aged mice. For this, we bred mice for Tmx-induced
deletion of Gas1 in Pax7+ MuSCs in aged mice;
hereafter referred to as Gas1KO (Fig. 1b;
Supplementary Fig.
2b). Inactivation of Gas1 in MuSCs helped to
increase MuSC pool size in aged mice under sedentary condition (Fig. 1g; Supplementary Fig. 2g) - though
still smaller than the MuSC pool size in the young. Compared to aged controls,
Gas1KO muscles showed better regeneration, i.e. larger regenerated muscle fibers
(Fig. 1h,i). Importantly, increased Pax7+ cells were found after
regeneration (Fig. 1g, Supplementary Fig. 2g), indicating
that MuSC self-renewal is improved in Gas1KO mice. Thus, without Gas1 function
in MuSCs, aged muscles regenerate better, indicating that Gas1 contributes to
their dysfunction.
The above in vivo data may be explained by changes in the number of
MuSCs in Gas1EX and Gas1KO models. To determine whether there is also an
intrinsic change in self-renewal, we analyzed myogenic cell fates ex vivo using
the single myofiber (SM) assay[23] in which MuSCs were associated with intact wild type
fibers. Aged Gas1KO MuSCs increased Pax7+MyoD–
self-renewed fraction, compared with aged controls (Fig. 1j; Supplementary Fig. 3a,b). Similar to aged
controls, young Gas1EX MuSCs generated a larger
Pax7–MyoD+ differentiation-committed fraction,
compared with young controls. These data corroborate with in vivo data and
support Gas1 causes a defect in MuSC self-renewal, distinct from its role in
muscle terminal differentiation studied in C2C12 cells[24].
Regenerated muscles of Gas1EX and Gas1KO have reduced force
We further assessed regenerated muscle strength in young Gas1EX and aged
Gas1KO mice by measuring single-twitch and tetanus forces in situ at 1 m post
injury (1 mpi; Supplementary
Fig. 3d). Correlating with histological data (Supplementary Fig. 3c), regenerated
young Gas1EX muscles showed marked diminution in both forces, relative to young
controls, whereas regenerated muscles of aged Gas1KO mice showed enhanced forces
relative to aged controls (Fig. 1k, Supplementary Fig.
3e).
Transcriptome and epigenome of Gas1EX and Gas1KO MuSCs
Given that reduced number and self-renewal capacity of MuSCs are
features of aging, we wondered whether Gas1 also leads to changes of biological
processes in MuSCs that are related to those particular aspects of aging. For
this, we performed RNA-seq of FACS-purified young, aged, young Gas1EX, and aged
Gas1KO MuSCs (Fig. 2; Supplementary Fig. 4); microarray
data were used to compare wild type young and aged MuSCs previously[19]. Multidimensional scaling
(MDS) segregates young and aged control MuSC transcriptomes (Fig. 2a), and differentially expressed (DE) genes
between aged and young control MuSCs provides aging-related gene sets.
Differential gene expression largely correlates with differential levels of
active chromatin mark H3K4me3 at gene promoters assessed by ChIP-seq (Fig. 2c), indicating that expression changes
occur at the level of transcription; an example for the Ret
locus is shown (Fig. 2d). Young Gas1EX and
aged Gas1KO MuSC transcriptomes are grouped away from the young and aged
controls, respectively, by MDS (Fig. 2a).
Ninety-three of 120 up-regulated genes and 131 of 158 down-regulated genes in
young Gas1EX MuSCs (compared to the young control) overlap with correspondingly
up- and down-regulated aging-related DE gene sets (Fig. 2b), revealing the similarity between young Gas1EX and aged
control MuSCs. When aged control is compared to aged Gas1KO, significant overlap
with aging-related DE gene sets in the same directions of change are noted,
supporting that Gas1KO transcriptome is of younger signature. Considering young
Gas1EX and aged Gas1KO MuSCs encounter niche environment and physiological
parameters differing from the aged and young control MuSCs, respectively, the
large overlaps by transcriptome comparison are remarkable. Gene set enrichment
analysis (GSEA) revealed a strong correlation between young Gas1EX and aged
control MuSCs, including enrichment of inflammatory response and cell cycle
genes (Fig. 2e). Categorizing DE genes
among the four data sets according to the hallmarks of aging[25] (Fig.
2f), we noted extracellular signaling, nutrient sensing, and cell
adhesion genes. Several genes implicated in systemic or MuSC aging are present,
e.g. IGF1[26] and Fibronectin
(Fn1)[27]. Gas1 has been
implicated in the Hedgehog (HH) pathway during embryogenesis[22], but no changes in HH downstream genes
were found. Shared molecular signatures between young Gas1EX and aged MuSCs
potentially inform players downstream of Gas1 that effect quiescence and
self-renewal defects observed in aged MuSC.
Fig. 2 |
Gas1 mouse models display age-associated molecular signatures of
MuSCs.
a, Multidimensional scaling (MDS) plot of transcriptomes of
Yng Ctrl, Aged Ctrl, Yng Gas1EX, and Aged Gas1KO MuSCs. b, Pie
charts for Yng Gas1EX versus Yng Ctrl and Aged Ctrl versus Aged Gas1KO summarize
up and down DE genes; aging-related genes in darker shades. Aging-related genes
were derived from comparison of Aged Ctrl versus Yng Ctrl. Data were derived
from mean of 3 biological replicates using data in a;
P < 10−5; hypergeometric test.
c, Volcano plots for association between changes in
transcription and promoter H3K4me3 mark in Aged and Yng Ctrl MuSCs, derived from
means of 3 RNA-seq and 2 ChIP-seq biological replicates. d,
Representative RNA-seq (left) and H3K4me3 ChIP-seq (right) tracks from Yng Ctrl
and Aged Ctrl MuSCs at the Ret locus, using data in a and
c (3 RNA-seq and 2 ChIP-seq biological replicates).
e, Enrichment for inflammation and cell cycle gene sets by GSEA
comparison of Yng Ctrl to Aged Ctrl (top) and Yng Ctrl to Yng Gas1EX MuSCs
(bottom). Data were derived from 3 RNA-seq biological replicates using data in
a. f, Aging hallmark categories for selected DE
genes in Aged Ctrl versus Yng Ctrl MuSCs. Log2FCs are indicated; up-regulated in
red and down-regulated in blue. DE genes in bold overlap with both Yng Gas1EX
versus Yng Ctrl and Aged Ctrl versus Aged Gas1KO comparisons. Genes not in bold
overlap with one of the above two comparisons.
Ret is downstream of Gas1 for MuSC quiescence and renewal
Among the DE genes, we were intrigued by reduced mRNA and H3K4me3 levels
of Ret in aged and young Gas1EX MuSCs (Fig. 2d, 3a) as
there are reported physical association between Ret and Gas1 in cultured cell
lines[25-27]. Ret encodes
a receptor tyrosine kinase (RTK) which is a common signaling component for glial
cell line-derived neurotrophic factor (GDNF) family of ligands, and plays many
roles in the nervous system, including in motor axons that effect muscle
contraction[28]. To
elucidate its role in MuSC, we first utilized an engineered conditional
Ret allele
(Ret) with a change in the
kinase domain that allows for specific binding and inhibition by the small
molecule 1NM-PP1[29]. We found
that 1NM-PP1 decreased renewal and increased differentiation of MuSCs ex vivo,
compared to mock-treatment controls (Fig.
3b); 1NM-PP1 showed no effect on MuSCs not carrying this
Ret allele (Supplementary Fig. 5a).
Regorafenib[30], a broad
RTK inhibitor that also targets Ret, yielded a similar result (Supplementary Fig. 5b). To examine
the role of Ret in MuSCs in vivo, we inactivated
Ret[29] in
young Pax7+ MuSCs (hereafter referred to as ‘RetKO’,
Fig 3c). RetKO mice showed a decline in
MuSC number without injury (Fig. 3d; Supplementary Fig. 5c).
After injury, RetKO mice were defective in regeneration as reflected by reduced
fiber size of repaired muscles (Fig. 3e;
Extended Data Fig.5d,e). Furthermore, both muscle
injury and SM assay revealed a reduction in renewed Pax7+ cells
(Fig. 3d, f; Supplementary
Fig. 5c). Thus, phenotypes of RetKO parallel those of Gas1EX (whose
MuSCs express low level of Ret), leading us to propose that
reduced Ret levels underlie Gas1EX phenotype.
Fig. 3 |
Ret is downstream of Gas1 and required for MuSC self-renewal.
a, RNA-seq (top) and H3K4me3 ChIP-seq (bottom) tracks from
Yng Ctrl versus Gas1EX MuSCs at the Ret locus, using data in
Fig. 2a and c (3 RNA-seq
and 2 ChIP-seq biological replicates). b, SMs isolated from Yng
Ret mice, cultured for
96 h with or without 1NM-PP1 (PP1, at specified concentrations), stained for
Pax7 and MyoD, and quantified for their distributions (n = 3 experiments;
≥ 20 myofibers per condition). c, Experimental schemes for
Yng Ctrl and RetKO mice; abbreviations same as in Fig. 1b. d, Averaged Pax7+ MuSCs per fiber
for uninjured and injured TA muscles from Yng Ctrl and RetKO mice (n = 5).
e, Averaged fiber size for uninjured and injured TA muscles
from Yng Ctrl and RetKO mice (n = 5). f, Yng Ctrl and RetKO SMs
cultured for 96 h, stained for Pax7 and MyoD, and quantified; myogenic cells are
lineage-marked by YFP (n = 3 experiments; ≥ 20 myofibers per condition).
Data are mean ± s.d.; adjusted P values are shown; by
two-way ANOVA (b, d, e, f).
Scale bars, 10 μm (e).
Gas1EX and RetKO models do not support muscle hypertrophy
We further evaluated Gas1EX and RetKO mouse models in the context of
compensatory hypertrophic growth of the Plantaris muscle after synergistic
ablation (SA) of Soleus and Gastrocnemius muscles[11,31] (Fig. 4a). As
expected, after SA, control animals showed significant increases in Plantaris
myofiber size and in myofibers with centrally located nuclei. However, the two
experimental models did not show obvious changes (Fig. 4b, c; Supplementary Fig. 6a). To
elucidate the underlying causes, we probed for Pax7 to assess stem cell pool
changes. Relative to controls, both mouse models showed decreased
Pax7+ MuSCs, with or without SA (Fig. 4d, e), consistent with
their loss in quiescence and compromised renewal after activation. Furthermore,
EdU+ myonuclei and Pax7+EdU+ SCs were found
to be increased in the Plantaris muscles after SA, but the increases are
considerably lower in the two models than in the control (Supplementary Fig. 6b, c). These data indicate
that compensatory responses were mounted in these two models, but insufficient
to cause a significant change in myofiber size. Accordingly, SA-operated
hindlimbs of the two models showed weaker grip-strength than those of control
mice (Fig. 4f). We note that the
requirement of MuSCs for Plantaris hypertrophy after SA has been
controversial[11,31]. Nevertheless, our SA and
CTX-injury results together support the negative role of Gas1 and positive role
of Ret in MuSCs for hypertrophic growth and regeneration, respectively.
Fig. 4 |
Gas1 and Ret signaling affects compensatory hypertrophic growth of the
Plantaris muscle after synergistic ablationn.
a, Experimental scheme for young (Yng) control (Ctrl), Gas1
pan-expression (Gas1EX), and Ret knock-out (RetKO) mice subjected to muscle
overload of Plantaris via synergistic ablation (SA) of Soleus and Gastrocnemius
muscle; + and – indicate with and without SA, respectively, to the
Plantaris muscle. EdU (5 μg/gram body weight) was injected daily for two
weeks until harvest. b, Plantaris muscles sections from Yng Ctrl,
Gas1EX and RetKO mice with or without muscle overload by SA, stained for
Dystrophin and DAPI. (n = 5). Asterisk, centrally located myonuclei.
c, Averaged fiber size from data in (b) (n = 5).
d, Pax7 and Laminin staining on Yng Ctrl, Gas1EX and RetKO
Plantaris muscles with or without muscle overload by SA. Arrows,
Pax7+ cells. e, Averaged Pax7+ MuSCs per
fiber for sham control and SA Plantaris muscle sections from Yng Ctrl, Gas1EX
and RetKO mice as in (d) (n = 5). f, Relative grip
strength of hindlimb (fold change compared with sham control) with muscle
overload by SA from Yng Ctrl, Gas1EX and RetKO mice (n = 5). Data are mean
± s.d.; adjusted P values are shown; by two-way ANOVA
(c, e) and one-way ANOVA (f). Scale
bars, 100 μm (b) and 50 μm (d).
Gas1 antagonizes Ret signaling in MuSC
Biochemical interaction between Gas1 and Ret is ill-defined and how Gas1
modulates Ret activity is controversial[32-34]. The
biological relevance of their interaction is also unclear. To establish a
relevance in the context of MuSC, we first determined if physical association
with Ret is necessary for Gas1 to impede MuSC self-renewal. We generated three
deletion mutants of Gas1 and found that its first cysteine-rich domain (domain
1) was essential for Ret binding by co-immunoprecipitation (Fig. 5a). Transient expression of Gas1 in young MuSCs
on the SM was sufficient to reduce self-renewal, whereas domain 1 deletion
mutant of Gas1 had no effect (Fig. 5b,
c). Therefore, Gas1’s ability to
reduce MuSC self-renewal depends on its Ret-interacting domain.
Fig. 5 |
Gas1 interaction with Ret is required for function in MuSCs.
a, Reciprocal co-IPs between 3xFLAG-tagged Ret and
VSV-G-tagged full-length and 3 domain-deleted Gas1s (diagrammed at bottom right)
expressed in HEK293T cells. Input lysates and FLAG-IPed and VSV-G-IPed fractions
are indicated. n = 3 independent experiments with similar results.
b-c, MuSCs on Yng WT SM transfected with Gas1, Gas1 domain
1-deleted mutant (GΔ1), or GPI-YFP (cultured for 96 h and stained for
Pax7 and MyoD (b), and quantified for their distribution
(c) (n = 3 experiments; ≥ 20 myofibers per condition).
VSV-G-tagged GPI-YFP served as a control. Data are mean ± s.d.; adjusted
P values are shown; by two-way ANOVA (c).
Scale bars, 10 μm (b).
To extend the above finding, we assayed for phosphorylation of RetY1062
(pRet) in various biological contexts. Approximately 40% of the young MuSCs were
pRet+. By contrast, most young Gas1EX and aged MuSCs are
pRet– (Fig. 6a; Supplementary Fig. 7).
Using the Proximal Ligation Assay (PLA), we detected co-localization of Gas1 and
Ret (as foci) in young and aged MuSCs, which correlated with Gas1 expression
(Fig. 6b, c). These results together are consistent with a model that Gas1
directly associates with Ret to suppress signaling in MuSCs.
Fig. 6 |
GDNF enhances MuSCs self-renewal and muscle regeneration in aged
mice.
a, Percentages of Pax7+pRet(Y1062)+
in total Pax7+ MuSCs on SMs isolated from Yng or Aged wild-type (WT)
or Gas1EX mice and cultured for 24 h with PBS or GDNF (20 ng/ml in PBS) (n = 3
experiments; ≥ 20 myofibers per condition). b,
Representative images of Gas1:Ret PLA signals (red foci) for MuSCs on Yng or
Aged SMs cultured for 24 h; Merge, PLA images merged with Pax7 (green) and DAPI
(blue). c, Gas1:Ret PLA foci number per MuSC in specified
conditions (n = 3 experiments; ≥ 20 myofibers per condition).
d, Representative images of Aged Ctrl MuSCs on SMs cultured for
96 h with PBS or GDNF (20 ng/ml in PBS) and stained for Pax7 and MyoD. Arrows,
Pax7+MyoD– cells; asterisks,
Pax7+MyoD+ cells; open arrowheads,
Pax7–MyoD+ cells. e, Myogenic
distribution for Yng and Aged groups using the assay in (d);
myogenic cells are lineage-marked by YFP (n = 3 experiments; ≥ 20
myofibers per condition). f, Representative images of Aged WT TA
muscles at 1 mpi after intramuscular injections of PBS or GDNF (500 ng; at 2, 4
and 14 dpi) and stained with H&E. g, Averaged fiber size from
data in f (n = 5). h, Stained sections from Aged WT TA
muscles treated with PBS or GDNF (500 ng; at 2, 4 dpi) at 14 dpi with CTX.
i, Averaged Pax7+Ki67– (quiescent)
MuSCs per field (1.074 mm[2])
from data in h (n = 5). j,k,
Representative traces of normalized sPt and sPo (j) and
quantifications (k) of Aged WT TA muscles treated with PBS or GDNF
at 1 mpi (n = 5). Data are mean ± s.d.; adjusted P
values are shown; by two-way ANOVA (a, e,
g), one-way ANOVA (c) and two-sided unpaired
t-test (i, k). Scale bars, 5 μm
(b), 25 μm (d), 150 μm (f)
and 50 μm (h).
GDNF reverses the repressive effect of Gas1 on Ret signaling
We next asked whether it is possible to reverse the negative effect of
Gas1 impinged on Ret. GDNF is a natural ligand for the Ret-GFRα1
dimer[28]. Among four
members of the GFRα family, GFRα1 is expressed the highest whereas
GFRα4 is not detected in MuSCs (our RNA-seq data). Application of GDNF to
MuSCs on SM isolated from young and aged mice resulted in a considerable
increase of the Pax7+MyoD– self-renewed fraction
(Fig. 6d, e). By contrast, Persephin (PSPN), a ligand for the Ret-GFRα4
dimer[28], had no effect
(Supplementary Fig.
8a). Consistently, GDNF increased the pRet+ fractions of
young and aged MuSCs (Fig. 6a). GDNF also
increased the pRet+ (Fig. 6a)
and Pax7+MyoD– fractions (Supplementary Fig. 8b) of young
Gas1EX MuSCs, indicating a reversal of Gas1-mediated inhibition of Ret.
Furthermore, GDNF reduced Gas1-Ret PLA foci in young and aged MuSCs (Fig. 6c). Thus, GDNF can stimulate Ret
signaling, reduced Gas1-Ret interaction, and reverse the inhibitory effect
imposed by Gas1, in MuSCs.The above results inspired us to test whether intramuscular injection of
GDNF could rescue the defects in the Gas1EX model. Indeed, we observed
improvements in regenerative myofiber size and muscle forces in GDNF-treated
young Gas1EX muscles (Supplementary Fig. 8c–g). As a control, young RetKO
failed to respond to GDNF treatment, both ex vivo and in vivo (Supplementary Fig. 9). Our proposal
that functional decline of MuSCs is associated with Gas1’s inhibitory
effect on Ret signaling makes the prediction that GDNF should also overcome
Gas1, stimulate Ret signaling, and enhance the function of MuSCs in naturally
aged mice. We were pleased to find that not only aged muscle regeneration and
regenerated muscle forces were improved by intramuscular GDNF injection (Fig. 6f,g,j,k,), but also the number of Pax7+ MuSCs
(Fig. 6h,i). While GDNF likely has other cell targets, our data collectively
support that it can act on aged MuSCs to reverse dampened Ret signaling
associated with Gas1 expression and improve regenerative function.
Discussion
Aged skeletal muscle is featured by decreased muscle mass, a chronic
physiological condition referred to as ‘sarcopenia’. Concomitantly,
MuSCs display age-associated decline in number and function for
regeneration[14,15,35].
While MuSC is essential for muscle regeneration, aging-associated sarcopenia appears
independent of MuSC[36]. Here we
provide evidence that Gas1 drives functional decline of MuSCs by reducing their
stemness in quiescence and during regeneration. Several observations indicate that
the role of Gas1 is masked in young and mature mice: 1) young Gas1+ MuSCs
are functionally interior to Gas1− MuSCs in vitro, but together
they regenerate muscle robustly in vivo; 2) The majority of MuSCs expresses Gas1 in
mature mice when muscle regeneration is still effective; 3) Yet, the negative role
of Gas1 can be revealed by over-expression in young MuSCs. We suggest that active
GDNF-Ret signaling is the ‘masking’ pathway that prevents Gas1 from
action in young and mature adults. In chronologically aged mice, Gas1’s
inhibitory role on quiescence and self-renewal becomes realized to reduce
Ret transcription and pRet levels, but reversible by GDNF.
Given the existing[32-34] and the data provided here for
these 3 components, we propose that mutually antagonistic but titratable
interactions between them explain why the aged-independent role of Gas1 for MuSC
renewal is revealed in an age-specific manner. Thus, MuSCs are
‘pre-marked’ by Gas1 expression gradually from youth to maturation,
for their destined functional decline in aging. As reduced renewal is part of MuSC
aging, the transcriptome changes driven by Gas1 most likely reflect this aspect of
functional decline. Gas1 over-expression also reduces Ret
transcription in the young, suggesting a feedforward mechanism from reducing Ret
signaling to reduced Ret transcription in MuSCs, as seen in aged
MuSCs. We cannot exclude that additional factors may contribute to masking Gas1
function in the adult, and that GDNF may target other cell types than MuSCs in the
regenerative process.Contrast to increased Wnt[37] and Tgfβ[38] systemically and FGF2 locally[16] as extrinsic aging influences on MuSCs,
reduced Ret signaling is driven by intrinsic expression of Gas1. These
well-documented aging factors for MuSCs appear active in Gas1KO model, hence their
transcriptome change towards the young is partial and their MuSC pool size is
smaller than that in the young – even though the regeneration is
substantially improved. It is worth noting that Ret is also important for motor axon
regeneration[39] and
synaptic maturation[40], whereas
GDNF expression is elevated in newly regenerated muscle fibers[41]. The shared usage of GDNF-Ret signaling by
MuSCs and motor axons during muscle regeneration signifies a coordinated biological
strategy for functional muscle restoration. Extending our findings, we devised a
proof of principle method to improve muscle regeneration by intramuscular delivery
of GDNF, a natural biological factor. This contrasts to most studies using
technically demanding in vitro manipulations to improve MuSCs, which are then
transplanted. Future studies and translation of our results to humans will be of
importance. Methods to manipulate endogenous levels of Gas1 and Ret in MuSCs, or
levels of GDNF produced by the muscle, may also be considered as therapeutic means
for improving muscle regeneration.
Methods
Mouse strains.
The Gas1mice[22],
Pax7cre-ERT2 (referred to as
Pax7 in legends;
B6;129-Pax7tm2.1(cre/ERT2)Fan/J)
mice[4], and
Gas1mice[42] have been described. The
R26YFP
(B6.129X1-Gt(ROSA)26Sortm1(EYFP)Cos/J)
mice[43] and
Retflox (STOCK Ret/J)
mice[29] were obtained
from the Jackson Laboratory (JAX). Whenever YFP was included for assay, the
R26YFP allele was included in the background for
Pax7+ MuSC lineage marking. The Gas1 conditional pan-expression
(Gas1EX) allele, R26CAG-Gas1, generated for this
work is detailed in Supplementary Fig.2a. The Pax7-GFP knock-in allele,
Pax7
Avi−2A-GFP will be described by C. Lepper in a separate study.
All the above mice are mixed background. C57BL/6 mice were used as wild-type
(WT) mice. For young versus aged comparisons, mice were used at 2–3 month
of age (young) or 18–24 month of age (aged). Both sexes were used for all
experiments except for next generation sequencing experiments, where female
animals were used. Animal experiments in this study were performed following the
ethical regulations by Office of Laboratory Animal Welfare (OLAW), and in
accordance with protocols approved by the Institutional Animal Care and Use
Committee (IACUC) of the Carnegie Institution for Science (Permit number
A3861–01).
Tamoxifen regimen, muscle injury, EdU and GDNF administration.
Mice were given tamoxifen (Tmx, 20 mg/ml in corn oil; Sigma) at 4 mg per
40 g body weight intraperitoneally for 5 consecutive days. For young groups,
unless noted otherwise, assays were conducted 1 m after Tmx regimen. For aged
groups, assays were conducted 18 m after Tmx regimen. For muscle injury,
experimental and corresponding control mice were anaesthetized with isoflurane,
their tibialis anterior (TA) muscle was injected with 50 μl of 10
μM cardiotoxin (CTX; Sigma) using an insulin syringe (U-100; Becton
Dickinson), and harvested at post injury (pi) time points (stipulated as
‘d’ for day and ‘m’, for month) stated in the text
and legends. For short-term daily in vivo proliferation,
5-ethynyl-2′-deoxyuridine (EdU; Life Technologies) was given by
intraperitoneal injection at 0.1 mg per 20 g bodyweight per injection and muscle
harvested as specified in legends. For in vivo GNDF treatment, TA muscles
received 2 × 10 μl GDNF (50 ng/μl in PBS, PeproTech) at 2
and 4 dpi and were harvested at 14 dpi. For TA muscles harvested at 1 mpi, an
extra dosage was administrated at 14 dpi. Phosphate buffered saline (PBS) was
used for mock-injection for control.
Muscle sample processing.
TA muscles (in CTX muscle injury assay) or Plantaris muscles (see
Synergist ablation below) were harvested, fixed for 10 min in ice cold 4%
paraformaldehyde (EMS) in PBS, sequentially changed through 10%, 20% and 30%
sucrose/PBS overnight, embedded in OCT, frozen in isopentane (Sigma)/liquid
nitrogen, and stored at –80 °C freezer until cryo-sectioning.
Cross-sections (10 μm) of the muscle mid-belly region were stained with
Haematoxylin and Eosin (H&E; Surgipath), or used for immunostaining and EdU
reactions (see below).
MuSC isolation by FACS and myoblast culture.
MuSCs were isolated following the previously described
protocol[44] with slight
modifications. Briefly, for MuSC preparation, skeletal muscles were dissected
and incubated in 0.2% Collagenase Type I (Sigma) in Ham’s F-10 Nutrient
Mix (F-10; Gibco) at 37 °C with gentle shaking for 1.5 h followed by
centrifugation and wash. Tissues were then incubated in 0.2% Dispase (Gibco) in
F-10 at 37 °C with gentle shaking for 0.5 h. Cells were then gone through
20-gauge needles for dissociation and filtered through 40 μm cell
strainer (VWR) and wash. For surface maker labeling, cell were incubated with
DAPI and fluorophore-conjugated antibodies against CD45, CD31, Sca-1 and Vcam,
at 4 °C for 0.5 h. After wash, cells were subjected to
fluorescence-activated cell sorting (FACS) using the ARIA III sorter (BD
Biosciences) and data were collected by BD FACSDiva software. Isolated
mononuclear MuSCs were collected in Trizol (Thermo Fisher Scientific) for
RNA-seq (see below), in F-10 with 10% horse serum (HS) for ChIP-seq (see below),
cytospun for immunostaining, or replaced to MuSC culture medium (20% Fetal
Bovine Serum (FBS), 5% HS, 1% Pen/Strep, 1% Glutamax (Gibco), 0.1% chick embryo
extract (MP biomedicals) in DMEM (Gibco)) for culture. They were plated on
Matrigel-coated dishes (Corning, 354248; 30 min at 37 °C), and cultured
at 37 °C in tissue culture incubators with 5% CO2. For live
detection of β-Gal activity, cells were subjected to reaction using in
vivo lacZ β-Galactosidase Intracellular Detection Kit (MarkerGene)
following the manufacturer’s guidelines and FACS isolated. For EdU
labeling, EdU (10 μM) was added to MuSC culture medium for 2.5 h before
harvesting for assay.
Single myofiber (SM) isolation, transfection, and culture.
SMs with associated MuSCs were isolated from extensor digitorum longus
(EDL) muscles[23] by 1.5 h
digestion in 0.2% Collagenase Type I in DMEM at 37 °C. The digested EDL
muscle was then transferred to petri dishes containing DMEM, 1% Pen/Strep, and
1% Glutamax for mechanical dissociation to release individual myofibers.
Isolated myofibers were subjected to direct fixation for immunostaining, or
transferred to serum-coated Petri dishes for culture (SM culture medium: 10%
FBS, 1% Pen/Strep, 1% Glutamax in DMEM). Pending on the assays, myofibers were
cultured for different lengths of time before fixation and downstream assays.
For pRet analysis and PLA assay (see below), myofibers were cultured for 24 h.
Phosphatase Inhibitor Cocktail Set II (Calbiochem) was used as directed during
fixation. For self-renewal assays with Pax7 and MyoD expression, 96 h cultures
were used. For SM transfection, isolated myofibers were transfected with
VSV-G-tagged full-length Gas1, Gas1-domain 1-truncation mutant, or
GPI-anchored-YFP using TransfeX (ATCC) at 1:3 DNA(μg):TransfeX(μl)
ratio. Twelve h after transfection, fresh SM culture medium was added and
myofibers were cultured for total of 96 h at 37 °C, 5% CO2 for
self-renewal assays. For Ret signaling inhibition, 1NM-PP1 (10 nM and 100 nM,
EMD Millipore) and Regorafenib (10 nM, Selleckchem) was added to SM culture
medium for samples from
Retmice and control
mice, respectively. GDNF (20 ng/ml; PeproTech) or PSPN (as specificity control,
20 ng/ml; ProSpec) was directly added to the culture. Medium was changed daily
with the same concentration of inhibitors or recombinant factors until
assay.
Immunostaining.
TA or Plantaris muscle sections, SMs or cytospun MuSCs were fixed for 10
min in 4% paraformaldehyde, permeabilized with 0.1% Triton-X-100 (Sigma)/PBS for
10 min at room temperature (RT), rinsed with wash buffer (0.05% Triton-X
100/PBS), treated with blocking buffer (10% Normal Goat Serum (Genetex) and
1× carbo-free blocking solution(Vector)) for 1 h, prior to incubation
with primary antibodies (see Supplementary Table) diluted in blocking buffer overnight at 4
°C. Samples were then washed with wash buffer and incubated with
appropriate Alexa-Fluor-conjugated secondary antibodies (1:1,000, Life
Technologies) and in blocking buffer for 1 h at RT. After wash and incubation
with 4′,6-diamidino-2-phenylindole (DAPI) at1 μg/ml for 5 min,
samples were mounted with Fluoromount-G (SouthernBiotech) and coverslip (VWR).
For EdU detection, the Click-iT reaction kit (Life Technologies) was used prior
to incubation in DAPI according to manufacturer’s recommendations.
Force measurement.
In situ force measurements of TA muscles were conducted as previously
described[45,46], and the data were analyzed using the
1300A Whole Animal System (Aurora Scientific) using ASI 610A Dynamic Muscle
Control v5.420 software. Mice were anaesthetized with isoflurane and placed on
isothermal stage. Intact TA muscles were dissected and constantly immersed in
Ringer’s solution (homemade). Single twitch or tetanic contractions were
elicited with electrical stimulations applied by two electrodes placed on either
side of the muscle. In all experiments 0.2 ms pulses at 10 V supramaximal
voltage were used. Muscle optimal length (Lo) that allows a maximum isometric
twitch force (Pt) was determined by a series of twitch
contractions with small variations of the muscle tension. To obtain maximum
isometric tetanic force (Po), muscles were stimulated for 300
ms at different frequencies from 50 to 200 Hz. A 1 min recovery period was
allowed between stimulations. Muscle wet weight and Lo were used to calculate
the cross-sectional area (CSA) of the TA muscle for normalization to obtain
specific isometric twitch force sPt (kN/mm2) and
sPo (kN/mm2).
RNA-seq and analysis.
For each condition, 30,000 of fresh isolated MuSCs by FACS were lysed in
Trizol reagent. RNA was isolated using the Direct-zol RNA Kit (Zymo). cDNA was
generated and amplified using TruSeq RNA Library Preparation Kit v2 (Illunima)
and amplified with ThruPLEX DNA-seq Kit (Rubicon). Sequencing was carried out on
an Illumina Nextseq-500 to generate single-ended 75 bp reads, which were aligned
to the mouse genome (mm9) using TopHat (v2.1.0). Expression measurement of each
gene was calculated from the resulting alignment bam file by HTseq against the
GENCODE annotation vm1. Differentially expressed genes were determined using
edgeR with FDR cutoff of 0.05. MDS-plots were also generated using the edgeR
package. GSEA[47] analysis was
performed using ranked fold change values with hallmark gene sets database
(h.all.v6.2.entrez.gmt).
ChIP-seq and analysis.
Low-input ChIP-seq for fresh isolated MuSCs by FACS was performed
following the previously described protocol[48] with slight modifications. In brief, for each
condition, 30,000 MuSCs were fixed with 1% formaldehyde/PBS for 10 min at RT,
before quenching the reaction with 1/20 volume of 2.5 M glycine for 5 min at
room temperature and mixing with ~5 × 108 DH5α
E.coli (as carrier). Cell lysis, chromatin isolation and
digestions were done using the EZ Nucleosomal DNA Prep Kit (Zymo) followed by
further chromatin shearing and releasing using Bioruptor Pico (Diagenode) with 6
cycles of 30 s on/off sonication. The immunoprecipitations were performed using
anti-H3K4me3 antibody (EMD Millipore, 07–473, 1:1,000) at 4 °C
overnight. The immunoprecipitated DNA was then bound to Protein G Dynabeads
(Thermo Fisher Scientific) for 2 h at 4 °C, followed by serial washes,
proteinase K digestion, and purification by DNA Clean & Concentrator kit
(Zymo). DNA libraries were prepared using ThruPLEX DNA-seq Kit (Rubicon) and
sequenced on an Illumina HiSeq 2000 machine to generate single-ended 75bp reads.
ChIP-seq reads were aligned to mouse genome (mm9) using Bowtie (version 1.1.2).
2 mismatches were allowed for the alignment and only uniquely mapped reads were
allowed (parameters -v 2 -m 1). Promoter correlations for H3K4me3 enrichments
are plotted as log2 of the average read density within 2 Kb up and downstream of
TSS. H3K4me3 peaks were called by MACS with p-value threshold
of 10−5.
Data repository.
All sequencing data has been deposited into the NCBI SRA database
(accession code: PRJNA494728).
Synergist ablation surgery.
Muscle overload of the Plantaris muscles was induced by surgical removal
of synergist muscles (Gastrocnemius and Soleus)[11,31]. Briefly, mice were anesthetized with IP injection of
Avertin (2.5% tribromoethanol) at a dosage of 20 μL/g of body weight.
Back of the lower hindlimb was incised to expose the synergist muscles. The
tendons of gastrocnemius and soleus muscles were cut following by the removal of
the distal portion (~ 50%) of these muscles, with the Plantaris muscle
intact. The incision was then sutured and the wound disinfected. Synergistic
ablations (SA) were performed unilaterally, and the mice were subjected to
muscle overload for two weeks. EdU (5 μg/gram body weight) were
intraperitoneal injected daily after the surgery until harvest.
Grip Strength.
Mice were held at the base of the tail over a base plate, in front of a
grasping grid of the GSM Grip-Strength Meter (Ugo Basile). The grip strength of
hindlimbs were measured via allowing the mice to grab the grid and pulling the
mice backward gently until release, using Ugo Basile DCA software. 5 trials of
peak force were recorded for each hindlimb and the average was used for
quantification. A 5 min interval for recovery was allowed between each trail.
Data are presented as relative fold change of mean grip strength of the operated
leg relative to that of sham control.
Proximity ligation assay (PLA).
PLA for Gas1 and Ret on MuSCs were performed with Duolink In Situ Red
kit (Sigma) following the manufacturer’s guidelines. In brief, SM were
fixed for 10 min in 4% paraformaldehyde, permeabilized with 0.1%
Triton-X-100/PBS for 10 min at RT, and blocked with Duolink Blocking Solution
for 2 h. Myofibers were then incubated with primary antibodies against Gas1
(goat, R&D, AF2644, 1:50) and Ret (rabbit, Alomone, ANT-025, 1:50) diluted
in Duolink Blocking Solution at 4 °C overnight. Omitting either primary
antibody resulted in no signal. PLA reactions were subsequently carried out
using Duolink PLA probes for goat and rabbit and Duolink In Situ Detection
Reagents Red. After washes, myofibers were stained for Pax7 using the
moncoloncal Ab (DSHB), followed by an Alex-488 anti-mouse IgG1 secondary
antibody (Invitrogen) and DAPI, and then mounted in ProLong Diamond Antifade
Mountant (Thermo Fisher Scientific). Quantification of PLA was performed by
counting PLA foci number per MuSC.
Co-immunoprecipitation.
HEK293T cells (Clontech, tested negative for mycoplasma contamination by
MycoProbe Mycoplasma Detection Kit (R&D Systems)) were transfected with
pcDNA3–3xFLAG-Ret and/or pAP-VSV-G-Gas1/Gas1-domain-truncated mutants by
lipofectamine2000 (Invitrogen) for 24 h according to manufacturer’s
guidelines. Cells were lysed in lysis buffer (50mM Tris pH 8.0, 150mM NaCl, 0.5%
Digitonin (Sigma), and protease inhibitors) for 1 h at RT. Cell lysates were
cleared by centrifugation, and subjected to immunoprecipition by either
anti-FLAG M2 Affinity Gel (Sigma) or anti-VSV-G Agarose Conjugate (Sigma) for 2
h at 4 °C. Affinity matrixes were washed and eluted in 2X SDS-PAGE sample
buffer for Western blotting using anti-FLAG (Sigma) and anti-VSV-G antibodies
(Invitrogen). Western results were obtained by Odyssey CLx Near-Infrared
Fluorescence Imaging System (Li-Cor) using Image Studio 5 software.
Microscopy and image processing.
Images of H&E stained muscle sections were captured from Nikon 800
microscope with 20× Plan Apo objectives and Canon EOS T3 camera using EOS
Utility image acquisition software. Fluorescent images of muscle sections and
single myofibers were either captured by Nikon’ Eclipse E800 microscope
equipped with 20×/0.50 Plan Fluor, 40×/0.75 Plan Fluor, and
100×/1.3 Plan Fluor oil objectives and Hamamatsu digital camera C11440
using MetaMorph Microscopy Automation and Image Analysis Software, or captured
by Leica SP5 confocal microscope equipped with 63×/1.4 Plan Apo oil
objective using Leica image acquisition software. Same exposure time was used
and images were processed and scored with blinding using ImageJ64. If necessary,
brightness and contrast were adjusted for an entire experimental image set. Cell
number, fiber diameter, fiber number, and fiber cross sectional area were
determined using ImageJ64.
Statistical analyses.
Quantitative values are expressed as the mean ± standard
deviation (s.d.). Statistical differences between two groups were determined by
t-test for two-tailed unpaired comparison (refer to legends of Figs. 1–4). Additional statistical tests are detailed in legends of Figs. 1–4. P < 0.05 was determined to be significant for all
experiments. All experiments have been done at least twice with the same
results. All statistical analyses were performed with Excel software or GraphPad
Prism software. For mouse experiments, no specific blinding method was used but
mice in each sample group were selected randomly. No statistical methods were
used to predetermine sample size. No animal has been excluded from analysis and
no randomization method has been applied in this study.
Reporting Summary.
Further information on research design is available in the Nature
Research Reporting Summary linked to this article.
Data availability
All data that support the findings of this study are available from the
corresponding authors upon request.
Authors: Sean M Buchanan; Feodor D Price; Alessandra Castiglioni; Amanda Wagner Gee; Joel Schneider; Mark N Matyas; Monica Hayhurst; Mohammadsharif Tabebordbar; Amy J Wagers; Lee L Rubin Journal: Skelet Muscle Date: 2020-10-09 Impact factor: 4.912
Authors: Jacqueline A Larouche; Mahir Mohiuddin; Jeongmoon J Choi; Peter J Ulintz; Paula Fraczek; Kaitlyn Sabin; Sethuramasundaram Pitchiaya; Sarah J Kurpiers; Jesus Castor-Macias; Wenxuan Liu; Robert Louis Hastings; Lemuel A Brown; James F Markworth; Kanishka De Silva; Benjamin Levi; Sofia D Merajver; Gregorio Valdez; Joe V Chakkalakal; Young C Jang; Susan V Brooks; Carlos A Aguilar Journal: Elife Date: 2021-07-29 Impact factor: 8.713