| Literature DB >> 34811940 |
Junyu Yan1,2,3, Yalan Yang1,2,3, Xinhao Fan1,2,3, Guoming Liang3, Zishuai Wang1,2,3, Jiju Li1,2,3, Liyuan Wang1,2,3, Yun Chen1,2,3, Adeyinka Abiola Adetula1,2,3, Yijie Tang1,2,3, Kui Li1,2,3, Dazhi Wang4, Zhonglin Tang1,2,3,5,6.
Abstract
BACKGROUND: Circular RNAs (circRNAs) represent a novel class of non-coding RNAs formed by a covalently closed loop and play crucial roles in many biological processes. Several circRNAs associated with myogenesis have been reported. However, the dynamic expression, function, and mechanism of circRNAs during myogenesis and skeletal muscle development are largely unknown.Entities:
Keywords: Development; Feedback loop; Regeneration; Skeletal muscle; circFgfr2; circRNA
Mesh:
Substances:
Year: 2021 PMID: 34811940 PMCID: PMC8818660 DOI: 10.1002/jcsm.12859
Source DB: PubMed Journal: J Cachexia Sarcopenia Muscle ISSN: 2190-5991 Impact factor: 12.910
Figure 1Identification and characteristics of circRNAs in pig skeletal muscle. (A) Pipeline for the identification of novel circRNAs. (B) Validation of the circularity of circRNAs. RT–PCR to detect circRNAs was performed on mock‐treated and RNase R‐treated RNA using divergent primers. Linear GAPDH mRNA was used as a negative control. (C) Distribution of circRNAs in different genomic regions. (D) Venn diagram showing the overlap between circRNAs that we identified and pig circRNAs deposited in the circAltas database. (E) The exon number distribution of identified circRNAs. (F) The length distribution of identified circRNAs. (G) Average read coverage of DNA methylation across gene bodies and the 2 kb regions flanking the BSJ sites of circRNAs at the E33 stage.
Figure 2Dynamic expression of circRNAs during pig skeletal muscle development. (A) The number of detected circRNAs during each developmental stage. (B) PCA plot showing the global view of dynamic circRNA expression during skeletal muscle development, coloured according to developmental stage. The 3382 circRNAs that were expressed in at least 80% of samples were used for PCA analysis. (C) Heatmap showing the expression pattern of differentially expressed circRNAs (DECs) during skeletal muscle development. (D) Comparison of the transcript length between DECs and non‐DECs. (E) Comparison of the exon number between DECs and non‐DECs. (F) Dendrogram from WGCNA co‐expression network analysis of skeletal muscle samples. Modules of co‐expressed genes were assigned a colour and number (M1–M12). (G–I) GO enrichment analysis of the host genes of DECs in the M2 (G), M3 (H), and M6 (I) modules. The top 10 biological processes reported by DAVID 6.8 are shown.
Figure 3circFgfr2 is highly conserved and a candidate regulator of skeletal muscle development. (A) Volcano plot presents the differentially expressed circRNAs (|log2 fold change| > 1 and FDR < 0.05) in differentiated C2C12 myotubes (DM) as compared with myoblasts (GM). (B) Validation of up‐regulated circRNAs in DM by RT‐qPCR. (C) The BSJ of circFgfr2 was identified using a divergent primer and sequenced by Sanger sequencing. (D) RT–PCR analysis of circFgfr2 and linear Fgfr2 mRNAs on mock‐treated and RNase R‐treated RNA. (E–G) RT‐qPCR analysis of the expression of circFgfr2 during postnatal development in TA muscles from C57BL/6 mice (E), during C2C12 cell differentiation (F), and during CTX‐induced regeneration (G). (H) The expression level of circFgfr2 in different fibre types. The expression level was normalized to 18s‐ribosomal RNA. N = 3–5 in each group. (I) Determination of circFgfr2 localization by subcellular fractionation. The error bars depict the mean ± SD of samples from three to five individuals. **P < 0.01 and ***P < 0.001. (J and K) An RNA‐FISH assay was performed to determine circFgfr2 subcellular localization in C2C12 myoblasts (J) and TA muscles (K). Blue indicates nuclei stained with DAPI; red indicates the RNA probe that recognizes circFgfr2.The scale of (J) is 20 μm; (K) is 100 μm.
Figure 4circFgfr2 represses myoblast proliferation and promotes myoblast differentiation and muscle regeneration. (A) EdU assay to assess cell proliferation after transfection with the circFgfr2‐overexpression vector (circFgfr2‐OV) and negative control (circFgfr2‐NC) in proliferating mouse primary myoblasts. Cell proliferation indices were assessed after treatment with EdU and counted using ImageJ. EdU staining (red) for positive cells; DAPI staining (blue) for cell nuclei. (B) Cell proliferation was assessed using the CCK‐8 assay after transfection with circFgfr2‐OV or circFgfr2‐NC vectors in proliferating mouse primary myoblasts. (C and D) The expression of proliferation and cell cycle markers was quantitated by RT‐qPCR (C) and western blotting (D) in proliferating mouse primary myoblasts. (E and F) The cell cycle was analysed using flow cytometry after transfection with circFgfr2‐OV and their negative controls in proliferating mouse primary myoblasts. The error bars depict the mean ± SD of samples from three individuals. (G and H) Following transfection of the circFgfr2‐OV and their negative controls (circFgfr2‐NC), the expression levels of myogenic differentiation markers MyoD, myogenin, and MyHC1 mRNA were detected by RT‐qPCR (G) and western blotting (H) in mouse primary myoblasts that differentiated after 4 days. (I) Immunofluorescence microscopy analysis of expression of MyHC1 after transfection with circFgfr2‐OV and circFgfr2‐NC in mouse primary myoblasts that differentiated after 4 days in vitro. The scale bars represent 100 μm. (J) The number of nuclei per myotube was counted after transfection with circFgfr2‐OV and circFgfr2‐NC in mouse primary myoblasts that differentiated after 4 days. (K) Injection scheme for AAV‐circFgfr2‐OV or AAV‐circFgfr2‐NC into CTX‐injured muscles. N = 5 per group. (L) RT‐qPCR analysis of the expression of Myf5, myogenin, MyHC1, and MyoD in AAV‐circFgfr2‐OV and AAV‐circFgfr2‐NC TA muscles on day 5 post‐injury. Data are presented as the mean ± SEM. (M) Western blotting of the expression of myogenin and MyHC1 in AAV‐circFgfr2‐OV and AAV‐circFgfr2‐NC TA muscles on day 5 post‐injury. (N) Immunostaining (left) and H&E staining (right) for desmin (red) and laminin (green) in AAV‐circFgfr2‐OV and AAV‐circFgfr2‐NC TA muscles on day 5 post‐injury (scale bar: 100 μm). (O) Average area of the cross‐sections of regenerating fibres on day 5 post‐CTX injury. N = 5 per group. The error bars depict the mean ± SD of samples from three to five replicates. *P < 0.05 and **P < 0.01.
Figure 5circFgfr2 acts as a ceRNA to promote Map3k20 expression by sponging miR‐133 family members. (A) Ratio of Firefly to Renilla luciferase activity following co‐transfection with each of 16 miRNA mimics and luciferase reporters containing all circFgfr2 sequences. (B and C) Ratio of Firefly to Renilla luciferase activity following co‐transfection with psicheck‐circFgfr2‐wt/psicheck‐circFgfr2‐mut and miR‐133 mimics/miR‐NC. (D) The effects of miR‐133 mimics on the expression level of circFgfr2 in C2C12 myoblasts indicated by RT‐qPCR. (E) RT‐qPCR showing the expression levels of miR‐133 family members following transfection with circFgfr2‐OV. (F) Fold enrichment of miR‐133 and circFgfr2 quantitated by RT‐qPCR after the RIP assay with the Ago2 antibody. IgG was used as a negative control for immunoprecipitation, and a sequence snippet from Fgfr2 intron 1 was used as a negative‐control region. (G) Effect of miR‐133 mimics or their negative control on circFgfr2‐OV inhibition of cell proliferation in C2C12 myoblasts by the CCK‐8 assay. (H) Effect of miR‐133 inhibitors and their negative control on si‐circFgfr2‐1 promotion of cell proliferation in C2C12 myoblasts by the CCK‐8 assay. (I) Schematic illustration of the predicted binding sites for miR‐133 family members in the 3′UTR of Map3k20. (J) HEK293T cells were co‐transfected with Map3k20 3′UTR or 3′UTR‐mut constructs and the miR‐133 family mimics. Data were normalized to the Renilla luciferase activity. (K) Heatmap showing the relative expression of circFgfr2, Map3k20, and miR‐133 in TA muscles during regeneration after CTX injury. The expression levels of these genes were determined by RT‐qPCR. The expression correlation between any two genes were calculated by Pearson correlation coefficient and was shown on the right. (L) An RNA‐FISH assay was performed to determine miR‐133, Map3k20, and circFgfr2 subcellular localization in proliferating C2C12 myoblasts. Scale bar, 20 μm. (M and N) RT‐qPCR (M) and western blotting (N) of Map3k20 expression in proliferating C2C12 myoblasts transfected with miR‐133 mimics or circFgfr2‐OV and their negative controls. (O) The expression levels of Map3k20 and MyHC1 proteins in C2C12 myoblasts co‐transfected with miR‐133 mimics and/or the Map3k20‐overexpression vector were higher than those in C2C12 myoblasts transfected with miR‐133 mimics alone as shown by western blotting. The error bars depict the mean ± SD of samples from three to five measurements. *P < 0.05, **P < 0.01, ***P < 0.001.
Figure 6Bulk and single‐cell RNA‐seq reveal that circFgfr2 regulates the activity of the JNK/MAPK signalling pathway. (A) Volcano plot presents the differentially expressed mRNAs (|log2 fold change| > 1 and FDR < 0.05) in circFgfr2‐overexpressing C2C12 myoblasts as compared with their negative controls. (B) Heatmap analysis visualized the expression changes of genes in the MAPK signalling pathway following overexpression of circFgfr2. (C) Validation of differentially expressed mRNAs using RT‐qPCR. The error bars depict the mean ± SD of samples from three individuals. **P < 0.01 and ***P < 0.001. (D and E) Western blotting showing the expression of genes in the JNK/MAPK pathway following overexpression of circFgfr2 during the proliferation (D) and differentiation (E) stages. (F) Graph‐based clustering of FACS‐isolated single cells identifies distinct clusters corresponding to different skeletal muscle regeneration cell populations. (G) Expression pattern of MyoD, Myh4, Myf5, and Pax7 in skeletal muscle regeneration cell clusters. (H) The expression pattern of JNK pathway‐related genes in skeletal muscle regeneration cell clusters.
Figure 7G3bp1 and Klf4 are upstream regulators of circFgfr2. (A) Enriched TF‐binding motif Klf4 in the Fgfr2 promoter. (B) Schematic illustration of the sequences of three putative binding regions of Klf4 in the Fgfr2 promoter are shown. (C) The relative luciferase activities were detected in HEK293T cells co‐transfected with luciferase reporter plasmids containing binding sites for the promoter sequence and overexpression plasmids of Klf4. HEK293T cells co‐transfected with empty pGL3‐Basic vector and empty pcDNA3.1 vector were used as negative controls. Firefly luciferase activity was normalized to Renilla luciferase activity. (D) The expression levels of Fgfr2 and circFgfr2 were detected in C2C12 myoblasts transfected with Klf4‐overexpression plasmids by RT‐qPCR. (E) ChIP‐qPCR was performed to determine which putative Klf4 binding site the Fgfr2 promoter was bound in C2C12 myoblasts. IgG was used as a negative control for immunoprecipitation, and a sequence snippet from Fgfr2 intron 1 was used as a negative‐control region. The error bars depict the mean ± SD of samples from three individuals. (F) Schematic diagram illustrating how the mechanism of circFgfr2 mediation by G3bp1 modulates skeletal muscle development via the miR‐133/Map3k20/JNK/MAPK/Klf4/circFgfr2 auto‐regulatory feedback loop. (G) The putative binding sites of G3bp1 in the upstream and downstream regions of circFgfr2 pre‐mRNA were predicted. (H) RT‐qPCR analysis of the expression of circFgfr2 following overexpression of G3bp1. (I) RIP confirmed that G3bp1 could directly bind to Fgfr2 pre‐mRNA in C2C12 myoblasts. IgG was used as a negative control for immunoprecipitation, and a sequence snippet from Fgfr2 intron 1 was used as a negative‐control region. (J) The expression levels of myogenic differentiation markers (MyoD, myogenin, and MyHC1) following co‐transfection of the G3bp1‐overexpression vector and/or circFgfr2‐OV were lower than those following transfection with circFgfr2‐OV alone, as shown by western blotting. In (C)–(E), (H), and (I), the error bars depict the mean ± SD of three replicates. *P < 0.05, **P < 0.01, ***P < 0.001.