Abstract
A combinatorial code of identity transcription factors (iTFs) specifies the diversity of muscle types in Drosophila. We previously showed that two iTFs, Lms and Ap, play critical role in the identity of a subset of larval body wall muscles, the lateral transverse (LT) muscles. Intriguingly, a small portion of ap and lms mutants displays an increased number of LT muscles, a phenotype that recalls pathological split muscle fibers in human. However, genes acting downstream of Ap and Lms to prevent these aberrant muscle feature are not known. Here, we applied a cell type specific translational profiling (TRAP) to identify gene expression signatures underlying identity of muscle subsets including the LT muscles. We found that Gelsolin (Gel) and dCryAB, both encoding actin-interacting proteins, displayed LT muscle prevailing expression positively regulated by, the LT iTFs. Loss of dCryAB function resulted in LTs with irregular shape and occasional branched ends also observed in ap and lms mutant contexts. In contrast, enlarged and then split LTs with a greater number of myonuclei formed in Gel mutants while Gel gain of function resulted in unfused myoblasts, collectively indicating that Gel regulates LTs size and prevents splitting by limiting myoblast fusion. Thus, dCryAB and Gel act downstream of Lms and Ap and contribute to preventing LT muscle branching and splitting. Our findings offer first clues to still unknown mechanisms of pathological muscle splitting commonly detected in human dystrophic muscles and causing muscle weakness.
Subject terms: Developmental biology, Genetics
Introduction
Diversification of cell types is a fundamental process during the development of multicellular organisms and is essential in building functional organs. The muscle network in Drosophila embryos, composed of 30 muscle fibres per abdominal hemisegment, offers a tractable system for studying cell diversification. Despite common characteristics such as formation by myoblast fusion and the capacity to contract, each embryonic Drosophila muscle has a specific size, orientation, number of nuclei, attachment and innervation1. However, how these features are acquired at the muscle-specific level remains unclear, although it is generally accepted2,3 that the muscle founder cells (FCs), which are at the origin of muscle fibres, harbour all the information required for individual muscle identity. This information is thought to be provided by the combinatorial expression of identity genes encoding identity transcription factors (iTFs)4,5. They are all activated in subsets of muscle progenitors and/or FCs and share one important feature: their loss of function leads to the loss or aberrant properties of a muscle in which they are expressed1. Some identity genes such as lateral muscles scarcer (lms)6 show a restricted expression in lateral muscles only, whereas others, such as slouch (slou) display a broader expression pattern in ventral, lateral and dorsal domains7,8. Most Drosophila iTFs have their vertebrate counterparts, some of which (e.g. Org-1/TBX, Caup/IRX, Tup/ISL), play conserved roles during musculature specification in vertebrates9–11. Knowledge gained in Drosophila on iTFs and their downstream targets could thus cast light on how muscle diversification processes are regulated. It could also help to understand how aberrant muscle features such as branching and splitting are acquired. Whole genome approaches based on ChIP experiments have shown that iTFs directly regulate not only other identity genes, but also downstream regulators of muscle identity, the “realisator genes”12–14. We previously demonstrated that Eve, Lb and Slou iTFs regulate the number of fusion events by setting expression levels of genes that act as identity realisators in a muscle-specific manner13,15. However, the identification of “realisator genes” has so far been limited to only a few examples, owing to the technical challenges of detecting gene expression in specific muscle populations during embryogenesis.
To further analyse diversification processes and identify genes acting downstream of iTFs, we optimised translating ribosome affinity purification (TRAP)16 to small subsets of FCs and developing muscle precursors17. TRAP-purified mRNA profiling followed by bioinformatic analysis and generation of temporal transition profiles identified muscle subset-specific translatome signatures with Gelsolin (Gel) and dCryAB as new identity realisator genes controlling shape- and size-related properties of Lms-expressing muscles.
Intriguingly, dCryAB and Gel act downstream of Ap and Lms and their loss-of-function phenotypes recall dystrophic muscle branching/splitting in humans18.
Results
Translational profiling (TRAP) of muscle subsets identifies dCryAB and Gelsolin expressed predominantly in LT muscles
TRAP is based on the polysome capture of the GFP-tagged ribosomes with their associated mRNAs (Fig. 1A). Here we tagged polysomes with UAS-Rpl10A-GFP in two muscle subsets using Slou-GAL4 or Lms-GAL4 drivers (Fig. 1B) and in all embryonic muscles using Duf-GAL4. For each muscle subset, translational profiling was performed on embryos collected from three developmental time windows T1: 7–10 h AEL, T2: 10–13 h AEL and T3: 13–16 h AEL covering the main muscle development steps. To assess the specificity of TRAP-based muscle targeting, we analysed GO terms. We found that the up-regulated genes fitted muscle-related GOs while GO categories associated with the list of down-regulated genes were not related to muscle developmental processes (Fig. 1C). Gene expression profiling with total embryonic RNA (input fractions) as a reference was used to identify differential gene expression and perform spatial and temporal gene clustering. A significant portion of upregulated genes (FC > 2, p < 0.05) turned out to be common to the restricted muscle populations (Slou- and Lms-positive) and the overall (Duf-positive) population (dark colors in Fig. 1D). The percentage of specific transcripts (light colors) remained relatively constant until the latest time point where the proportion of Lms-specific transcripts increased slightly compared to Slou (29% versus 23% respectively ,Fig. 1D). This difference may be due to Lms-expressing muscles being less heterogeneous than Slou -positive ones and expressing specific set of genes for their terminal differentiation. Finally, to test muscle type-specific gene expression, we generated volcano plots (Fig. S1A,B) and observed that genes with previously characterised expression patterns in muscle subsets displayed expected up- or down-regulation. For example, in Lms-positive muscles, ap and lms gene transcripts were enriched, whereas slou and org1 transcripts, specific for Slou-positive muscles, were depleted (Fig. S1B). We also tested whether TRAP would detect “low expression” genes. To do so, we crossed our lists of enriched and depleted transcripts with modEncode datasets19 and found that more than 30% of up-regulated TRAP-ed genes entered the “low expression” modEncode category, whereas most depleted transcripts fitted the “high expression” modEncode category (Fig. S1C,D). TRAP-based translational profiling of muscle subsets was thus specific for the targeted muscle populations and sensitive enough to detect low transcript levels.
We then applied temporal transition profiling to identify clusters of genes showing similar dynamics of expression patterns, thus potentially under common upstream regulatory cues. We considered that this approach could be applied to TRAP datasets to identify novel muscle identity realisator genes acting downstream of iTFs15. The generated temporal transition heatmap for Slou- and Lms-positive muscles revealed clusters of genes with several expression behaviours (Fig. 1E).
Here we focused on gene clusters showing two contrasting transition behaviours, “down-down” (Cluster 1) and “up-up” (Cluster 2). Cluster 1 genes were characterised by enrichment of GOs associated with “chromatin binding” (Fig. 1F). Among Cluster 1 genes, we found twist and several Notch pathway-involved genes whose expression needs to be turned down while muscle differentiation progresses. By contrast, Cluster 2 showed a significant enrichment of several GO terms related to muscle development (Fig. 1F) including conserved genes encoding actin-binding proteins: CG34417/Smoothelin, flr/WDR1, CG18135/Gpcpd1, sals/SCAF1, Actn/ACTN2, Gel/GSN, TpnC41C/CALM1, dCryAB/l(2)efl/CRYAB (Fig. 1G). We found this sub-cluster of particular interest as it contains genes with similar biological functions and differential Lms- versus Slou- transition profiles. Among them, Gel and dCryAB with “up-up” transition profile in the Lms subpopulation (Fig. 1G) are both preferentially expressed in Lms-positive LT muscles (Fig. 1H). Drosophila Gel belongs to the conserved Gelsolin/Villin family of actin interactors20 with actin depolymerisation activity21,22. dCryAB codes for a small heat shock protein (sHSP) carrying an actin-binding domain and known to interact with cheerio/filamin23. Gel transcripts could be detected in LT muscle precursors from late stage 14 (Fig. 1H) but not earlier (Fig. S2A,A’,B,B’). Moreover, in late stage embryos Gel is prominently expressed in the visceral muscles and developing fat body (Fig. S2C,C’). dCryAB transcripts accumulate preferentially in LTs and in DT1 starting from early embryonic stage 15 (Fig. 1H) and at a lower levels in a larger population of lateral and ventral muscles including SBM and VT1 (Fig. 1H, Fig. 2A,A’). Similar to transcripts, both dCRyAB and Gel proteins are detected in LT myotubes with an accumulation at LT extremities and at sub-membrane areas (Fig. S3). LT muscle specification is under the control of identity gene Msh and downstream iTFs, Ap and Lms6. Gel and dCryAB LT expression (Fig. 2A–B) is dramatically reduced in lms (Fig. 2C–D) and in particular in lms/ap mutant embryos (Fig. 2E–F). Also, both dCryAB and Gel are ectopically activated by panmuscular Ap (Fig. 2G–J’) showing that LT iTFs positively regulate Gel and dCryAB (Fig. 2K).
dCryAB promotes regular shapes and prevents branching of growing LT muscles
To test whether dCryAB helps set LT muscle features, we generated null allele (dCryABHR) using CRISPR mutagenesis (Fig. 3A). dCryAB loss-of-function turned out to be homozygous lethal with mutants surviving until the late 3rd larval instar. Compared to wild-type, the late stage embryos devoid of dCryAB (Fig. 3B–D) showed dissociations between LT1 and LT2 and/or LT2 and LT3 muscles (32% of segments) and irregular growth of LTs (28% of segments). The partial dissociation of LTs was in several instances associated with the irregular LT shapes (Fig. 3B, C) and branched LT muscle extremities (8% of segments) (Fig. 3C, right panel). We also noted a reduced number of LTs in 6% of segments (Fig. 3D). Branched LT muscles are also occasionally detected in ap and lms mutant contexts (Fig. S4) indicating that dCryAB is involved in preventing LTs branching downstream of LT iTFs.
The irregular LT growth in dCryAB mutant embryos raised the question of whether dCryAB could impact on LT interactions with tendon cells and with motor neurons. By the end of embryonic stage 15, ß-PS integrin accumulates at the extremities of muscles and at the surface of their cognate attachment sites, promoting the formation of myotendinous junctions (MTJs). Accordingly, in wild type stage 15 embryos, ß-PS integrin labels ventral and dorsal ends of LTs (Fig. 3E–E”). However, in dCryAB mutants this ß-PS accumulation was hardly detected, suggesting impaired MTJs formation (Fig. 3F–F”). Because in late dCryAB mutant embryos we do not detect an LT muscle detachment phenotype, observed in the ß-PS loss-of-function context, we conclude that dCryAB mutation impairs but does not prevent ß-PS accumulation at LT MTJs. Consistent with this, in 2nd instar dCryAB mutant larvae, LTs, including those with branched ends, appear attached (Fig. 3G,H).
We then tested whether the LTs in dCryAB mutants were properly innervated. In wild type embryos, the dorsal branch of the SNa nerve innervating LTs defasciculates at the level of LT2 and grows dorsally within a gap between the ventral extremities of LT2 and LT3 (Fig. 3I–I”). In dCryAB mutants, most segments have wild type LT innervation, but in those with forked LT ends (essentially seen at the ventral extremity of LT2), the gap between LT2 and LT3 is filled, preventing defasciculation of SNa and LT innervation (Fig. 3J–J”).
Thus, by coordinating LT muscle growth, dCryAB ensures timely accumulation of ß-PS integrin and optimal LTs attachment. The capacity of dCryAB to control LT shapes and prevent their branching facilitates proper LT innervation.
Gel mutant embryos bear an increased number of LTs through fibre splitting
The CRISPR mutagenesis in the 5’ region of Gel resulted in two different null mutations, Gel9.3 and Gel9.8 (Fig. 4A), both leading to a premature stop codon. Because Gel9.3 and Gel9.8 exhibited similar molecular lesions, were homozygous viable, and showed equivalent LT muscle phenotypes (Fig. 4B), we chose one of them, Gel9.3, for further analyses.
Despite irregularity in LT growth (32% of segments) and some LT dissociation phenotypes (14% of segments), Gel mutants also showed an increased number of LT muscles (17% of segments) (Fig. 4B–D), a phenotype previously described (6) and detected in particular in ap mutants (Fig. S4B), however not observed in the dCryAB loss of function context (Fig. 3).
To follow formation of supplementary LTs in vivo, we recombined Gel9.3 with the Lms > LifeActinGFP (LAGFP) LT sensor line. We first confirmed that Gel9.3;Lms > LAGFP embryos form the supernumerary LTs, which become individualised with connectin-labeled cellular membranes (Fig. 4F,F’). We then performed time lapse experiments encompassing mid-embryogenesis on Lms > LAGFP (Fig. S5A, control) and on Gel9.3;Lms > LAGFP embryos in which splitting occurs (Fig. S5B). The example of splitting presented (Fig. 4E, Fig. S5B) concerns LT3 which grows asynchronously, expands and subdivides progressively into two fibres with separate extremities. This aberrant morphogenesis appears to have a functional impact, as at the beginning of larval life, the striated sarcomeric pattern of split LT muscles is severely impaired (Fig. 4G,G’), indicating that their contractility is compromised. Thus, the supernumerary LTs in Gel mutants arise from enlarged fibres that eventually split. Another, interesting feature is that split LTs extremities accumulate ßPS-integrin (Fig. 5A), suggesting that LT identity information ensuring choice of attachment sites is transmitted during splitting.
Gel controls LT muscle size by preventing excessive myoblast fusion
On performing time lapse experiments, we observed that splitting occurred during the developmental period in which muscle fibres grow by fusing with surrounding myoblasts, and that split LTs were enlarged compared to non-split neighbours (Fig. 4E). Our previous findings showing that muscle size depends on the number of fusion events15,24 thus raised the question of whether LT splitting could be associated with increased fusion. This appears to be the case since the LT-targeted increase in fusion by overexpressing Duf could lead to splitting (Fig. 5B,C). On the other hand we found that Gel is expressed in developing LT muscles but not in FCs (Fig. S2) and that the number of LT FCs in Gel mutants remains unchanged (Fig. 5D), suggesting that the supernumerary Gel-devoid LTs arise by an aberrant fusion-involving muscle morphogenesis.
Indeed, the number of Mef2-positive nuclei in LT1-LT4 at embryonic stage 16 was significantly higher in Gel mutants including the transheterozygous Gel9.3/Gel9.8 context compared to controls (Fig. 6A–D). We then sought to determine whether the LT-specific increase in fusion events observed in Gel mutants could impact on the fusion programs of neighbouring muscles. The number of myonuclei in immediate LT neighbours in the SBM and LO1 muscles (but not in more ventrally located VT1) was reduced, indicating that local availability of FCMs could impact on fusion programs (Fig. 6E,F). Muscle splitting observed in Gel mutants thus results from excessive fusion, with late fusion events that could be detected associated with LTs showing a split phenotype (Fig. 6B, right panel). The capacity of Gel to negatively regulate fusion was confirmed by the reduced number of myonuclei in LTs in which Gel was prematurely activated (Fig. 6D) and by the large number of unfused myoblasts seen in embryos with ectopic Gel expression in all muscles (Fig. 6G). Thus, we propose that Gel triggers fusion arrest in LTs. In Gel loss of function context LTs continue to grow by fusion and eventually split (Fig. 6H).
Discussion
TRAP was first developed to isolate polysome-associated mRNA from a subset of neurons in mice16 and was later adapted to other model organisms including Xenopus25, zebrafish26 and Drosophila17,27. Here we applied TRAP to determine the first translatomic signatures underlying diversification of muscle types, and we identified Gel and dCryAB as new LT muscle identity realisator genes. dCryAB contribute to preventing LTs branching, and Gel plays a role in LT muscle size control by limiting the number of fusion events. Consequently, supernumerary myonuclei are present in Gel-devoid LTs, which eventually split. Both splitting and branching are low penetrance phenotypes (17% and 8% of segments, respectively), indicating that Gel and dCryAB are not the sole identity realisators that prevent these aberrant growth-related LTs features.
Formation of branched muscle fibres has recently been reported as a result of adversely affected muscle identity28, and supernumerary LTs were also detected in ap and lms mutant embryos6. Here we report that split and branched muscles are occasionally detected in both LT iTF and Gel or dCryAB mutant embryos indicating that a muscle identity-dependent shape and size control system operates in developing muscles.
In humans, CryAB mutations are associated with desminopathies in which aberrant muscle fibres with branched morphology are frequently detected29. Gelsolin mutations cause amyloidosis, characterised by the toxic accumulation of protein aggregates, which can lead to an inclusion body myositis (IBM)-like phenotype with necrotic and centronuclear split fibres30,31.
Functional analyses of dCryAB and Gel in Drosophila embryos indicate that muscle fibres branch or split when the identity realisators for these muscle are not properly activated.
Reduced levels of ß-PS integrin at the extremities of dCryAB-devoid LTs suggests weak interactions with attachment sites and could explain observed LTs overgrowth and dual attachment of branched fibers. These dCryAB loss of function phenotypes could result from inappropriate actin cytoskeleton dynamics in growing LTs and/or affected function of cheerio/filamin, a direct dCryAB interactor23. The observation that dCryAB protein accumulates at sub-membrane areas and at LT myotube ends suggests it could contribute to preventing non-polarized, branched LT growth.
In advanced stages of muscular dystrophies, a large subset of muscle fibers shows longitudinal splitting, described already more than forty years ago (34). After chemical or physical injury, split fibers form also in undergoing regeneration wild type muscles (35) suggesting a link between myoblast fusion-involving regeneration (chronic in dystrophic context) and muscle splitting. However, despite critical impact on dystrophic muscle cytoarchitecture, on vulnerability to contraction-induced damage and on muscle weakening, mechanisms of muscle fibers splitting remain unexplored (36, 37).
Our finding in Drosophila that local increase in fusion occuring in Gel mutant embryos causes split fiber phenotype points to the excessive fusion as a prerequisit of splitting. Because Gel protein displays actin-severing properties and as we show here partially colocalises with actin in growing LTs, we speculate it could affect sub-membrane F-actin sheet and reduce the required for fusion myotube rigidity.
Materials and methods
Fly stocks
All D. melanogaster stocks and crosses were grown on standard medium at 25 °C. The following strains were used: apUGO35 (gift of J. Botas, Baylor, Houston, USA), lmss95 (gift of D. Müller, Universität Erlangen-Nürnberg, Germany), UAS-LifeAct-GFP (UAS-LAGFP) (Bloomington, 35,544) and UAS-Dumbfounded (UAS-Duf) (gift of M. Ruiz-Gomez, Spanish National Research Council, Spain). To generate the TRAP lines, the UAS-RpL10a-EGFP line was crossed with the Slou-Gal4 (gift of M. Frasch, Universität Erlangen-Nürnberg, Germany), Lms-Gal4 (Janelia Farm collection, 46,861) and Duf-Gal4 (gift of K. Vijayraghavan, TIFR, India) driver lines to specifically target polysomes in the respective muscle populations.
Generation of Gel and dCryAB knock-out lines by CRISPR-Cas9
The different gRNAs were designed using CRISPR optimal target finder32. To generate gel guide we used the pair of primers 5’-GTCGAGACCTCGACCGATGAGGC-3’ and 5’-AAACGCCTCATCGGTCGAGGTCTC-3’. The primers were annealed, digested by Bbs1 and cloned into pCFD3 plasmid (plasmid #49,410, Addgene) for Gel. For dCryAB a HDR-based CRISPR technology was applied. First, two guides targeting 5’-CTTGGACCAGCACTTCGGTC-3’ and 5’-GGAGGACAACGCCAAGAAGG-3’ sequences located in the 5’ and 3’ regions of the dCryAB gene, respectively, were designed and cloned by Gibson assembly into pCFD4 plasmid (#49,411). The homology arms HA1 of 1045 bp and HA2 of 1058 bp were amplified using the following pairs of primers:
Forward HA1: 5’-ATATCACCTGCATATTCGCAGCGACGTCATCTCTTTCGTCTG-3’.
Reverse HA1: 5’-ATATCACCTGCATATCTACAAGAGGCGCGAGGTGCGCATTG-3’.
Forward HA2 : 5’-ATATGCTCTTCATATAGGTGGAGACCTCCACCGCC-3’.
Reverse HA2 : 5’-ATATGCTCTTCAGACTTCGTCAGGTTCGGTTACTCCG-3’ into AarI and SapI cloning sites of donor pHD-DsRed plasmid (#51,434). Plasmids were injected into Nos-Cas9 embryos (BestGene).
To establish KO lines, molecular characterisation of target loci was performed as described33. Briefly, genomic DNA was extracted from individual larvae by crushing them in 20 μL QuickExtract solution (Cambio) and releasing the DNA in a thermomixer according to the supplier’s instructions. We used 1 μL (previously diluted five times) of the supernatant in 25 μL PCR reactions. PCR products were then sequenced by Sanger. Indels can be observed as regions with double peaks in heterozygous flies, corresponding to wild type and mutated allele respectively. In the case of dCryAB, homologous recombination events were recovered by selecting flies with red eye fluorescence.
RNA extraction and RT-qPCR
mRNA was extracted from Lms, Slou and Duf muscle populations using TRIzol reagent (Invitrogen) following the manufacturer’s instructions. RNA quality and quantity were then assessed using Agilent RNA 6000 Pico kit on Agilent 2100 Bioanalyzer (Agilent Technologies).
Microarray analysis
Agilent 8 × 60 K probe (60-mer) gene expression microarrays were used. We assessed the quality of triplicates using Pearson’s correlation test. Correlations for all conditions were 85% or higher. The microarray data were quantile–quantile normalised. Gene expression data from Slou-, Lms- and Duf-positive cells were compared to the whole embryo datasets to generate lists of genes differentially expressed, fold change ≥ 2, p < 0.05. GO Princeton software was used to assign GO classification. We then compared Lms- and Slou-positive cells to Duf-expressing cells to make two lists of differentially regulated muscle-specific genes, fold change ≥ 2, p < 0.05. We computed and compared GO biological processes from these two lists using an R package cluster profiler.
Temporal transition heatmap
Translational temporal profiles from Slou and Lms at the three time points were converted to “transition values” defined as log ratios between T2 and T1, T3 and T2. Transition values were considered as three discrete classes: upregulated (> 1), stable (between − 1 and 1), and downregulated (< 1). Thus expression profiles from Lms and Slou muscles, which contain three temporal windows, were converted into vectors of two transitions (Tr1, Tr2), which allow the determination of correct gene behaviour. For example, the profile “red-red” group genes whose RNA level increases between T1 and T2 (Tr1), and then continues to increase between T2 and T3 (Tr2).
In situ hybridisation and immunostaining
Embryos were dechorionated and fixed in 4% paraformaldehyde/heptane for all immunohistochemistry. Fluorescent in situ hybridisation with a TSA amplification system (Perkin-Elmer) and immunohistochemistry was as described previously13.To generate the RNA probe for Gel (primers used: 5’-5’AATCGACTCCGTGGTGACTC-3’ and 5’-GGGAGGCCAAAGATGAGCTGTC-3’) the corresponding DNA sequences were cloned by PCR in pCR II topo vector. The corresponding anti-sense RNAs were transcribed in vitro using T7 or SP6 RNA polymerase. For dCryAB, Gold collection clone GH01960 was used to generate RNA probes. For fluorescent staining, the following antibodies were used: rabbit anti-β3 tubulin (1:5000; R. Renkawitz-Pohl, Philipps University, Marburg, Germany), rat anti-actin (1:300, MAC 237; Babraham Bioscience Technologies), rabbit anti-Mef2 (Nguyen HT, 1:2000), rabbit anti-dCryAB (1:500)23, rabbit anti-Gel (1:20), M. Leptin, EMBL, Heidelberg, Germany), anti-GFP (1:1000 Developmental Studies Hybridoma Bank (DSHB)), mouse anti-Integrin βPS (1:200 DSHB) and mouse anti-connectin (1:200 DSHB). Cy3, Cy5, and 488 conjugated secondary antibodies were used (1:300; Jackson Immuno-Research). Embryos were mounted in anti-fade Fluoromount-G reagent (Southern Biotech). Labelled embryos were analysed using an Leica SP8 confocal microscope equipped with a HyD detector and a 40X objective. Images were processed with ImageJ.
TRAP experiment
RPL10aGFP-tagged embryos were collected, and messenger RNAs from the different muscle populations isolated as described17. Micro-array data generated in this study were deposited to GEO database : GSE137443: GSM4079386 to GSM4079439.
Live imaging
The Lms-Gal4; UAS-lifeActGFP (Lms>LAGFP) double transgenic line was generated and used for time lapse imaging of LT muscle formation in the gel mutant context. Image acquisition was performed on manually aligned living embryos at 21 °C using an inverted Leica SP8 confocal microscope. The time interval between acquisions was set to 3 min and the acquisition time was 3–4 h. Movies were generated and analysed using Imaris software (Bitplane).
Supplementary Information
Acknowledgements
This work was supported by AFM-Téléthon (MyoNeurAlp Strategic Program), Agence Nationale de la Recherche (Tefor Infrastructure Grant), ANR JC (Cardiac-SPE), Fondation pour la Recherche Médicale (Equipe FRM Award) and the iSITE CAP2025 Grant. We thank the staff of Genecore EMBL Heidelberg for their technical assistance.
Author contributions
B.B., Y.R., T.J., G.L., C.D., J.P.D. performed experiments, G.J. and K.J. designed experiments, analysed data and wrote the manuscript.
Competing interests
The authors declare no competing interests.
Footnotes
Publisher's note
Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
Contributor Information
Guillaume Junion, Email: guillaume.junion@uca.fr.
Krzysztof Jagla, Email: christophe.jagla@uca.fr.
Supplementary Information
The online version contains supplementary material available at 10.1038/s41598-021-92506-3.
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