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Article

Integrative Transcriptomic and Proteomic Analysis Reveals CaMK4-Mediated Regulation of Proliferation in Goat Skeletal Muscle Satellite Cells

by
He Cong
1,
Lu Xu
1,
Yaolong Liu
1,
Zixuan Wang
1,
Tao Ren
1,
Pengcheng Ruan
1,
Haoyuan Zhang
1,
Chengli Liu
1,
Yanguo Han
1,
Pengfei Hu
2,
Yan Zeng
1,
Simone Ceccobelli
3,* and
Guangxin E
1,*
1
College of Animal Science and Technology, Southwest University, Chongqing 400715, China
2
Institute of Antler Science and Product Technology, Changchun Sci-Tech University, Changchun 130022, China
3
Department of Agricultural, Food and Environmental Sciences, Università Politecnica Delle Marche, Via Brecce Bianche 10, 60131 Ancona, Italy
*
Authors to whom correspondence should be addressed.
Animals 2025, 15(21), 3083; https://doi.org/10.3390/ani15213083
Submission received: 25 September 2025 / Revised: 17 October 2025 / Accepted: 21 October 2025 / Published: 24 October 2025
(This article belongs to the Special Issue Genetics and Breeding for Enhancing Production Traits in Ruminants)
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Simple Summary

Calcium/calmodulin-dependent protein kinase IV (CaMK4) is involved in a variety of biological processes in skeletal muscle satellite cells (MuSCs). In this study, we found that CaMK4 has a inhibitory effect on the proliferation of MuSCs in goats, and clarified that CaMK4 overexpression or knockdown significantly regulates a series of candidate genes related to muscle development and cell proliferation in goats at both the transcriptional and protein levels, which provides new mechanistic insights into genetic regulation of muscle development in goats.

Abstract

CaMK4, a calcium/calmodulin-dependent protein kinase, is an important mediator of cellular signal transduction, yet its role in the regulation of skeletal muscle satellite cells (MuSCs) in goats has remained unclear. In this study, CaMK4 overexpression and knockdown models were established, and integrated transcriptomic and proteomic analyses were performed to systematically elucidate its regulatory network. CaMK4 overexpression altered key pathways associated with cell proliferation and muscle development, including cAMP, PI3K-Akt, and actin cytoskeleton regulation, while proteomic data highlighted calcium signaling and JAK-STAT pathways. Conversely, CaMK4 knockdown enhanced MuSC proliferation by upregulating cell cycle-related genes and proteins. Integrated analyses further identified that Galectin-9 (LGALS9), Collagen triple helix repeat containing-1 (CTHRC1), Hyaluronan Synthase 1 (HAS1), and L-Threonine Dehydrogenase (TDH) may serve as potential key nodes regulating cell cycle, apoptosis, and metabolic control. This suggests a regulatory role for CaMK4. Collectively, these findings provide a mechanistic framework for understanding CaMK4 function in ruminant muscle development and may offer insights for improving goat muscle growth, meat quality traits, and production efficiency.

1. Introduction

Meat-type goats are a globally important economic livestock species, providing high-quality animal protein crucial for food security and nutritional supply worldwide. With the continuous growth of the global population and improvement of living standards, meat consumption has steadily increased. Goat meat, characterized by low fat and high protein content, has become a preferred healthy meat option, leading to a significant rise in demand. Particularly in developing countries, the goat industry has become an indispensable component of agricultural economies, contributing positively to rural development and farmers’ income growth [1,2]. In recent years, the rapid increase in global goat meat production highlights its critical role in meeting human meat-food demand. However, ensuring a stable supply not only requires expanding breeding scale but more importantly depends on understanding the genetic basis of key genes influencing meat production traits. This knowledge will underpin future genetic breeding strategies aimed at developing efficient and sustainable meat-producing livestock and pastoral industries.
Meat production in goats directly affects farming efficiency and industry sustainability. Skeletal muscle, the main meat component, is influenced by muscle fiber number and diameter, which determine muscle size and growth rate, while intramuscular fat affects flavor and metabolism [3,4]. Studies show a positive correlation between fiber diameter and muscle growth from birth to nine months, promoting rapid development [5,6]. Thus, understanding the molecular regulation of skeletal muscle is vital for improving meat yield and quality.
Muscle satellite cells (MuSCs) are the primary stem cell population responsible for adult skeletal muscle regeneration and growth. They reside between the muscle fiber sarcolemma and the extracellular matrix (ECM), comprising approximately 2% to 10% of total skeletal muscle cells, and exhibit high heterogeneity [7,8,9]. MuSCs provide new cellular sources for muscle fibers through proliferation and differentiation, directly influencing muscle repair and growth. Animal model studies demonstrate that depletion of MuSCs leads to loss of muscle regenerative capacity, underscoring their essential role in muscle development [10,11,12]. Therefore, regulating MuSC proliferation and differentiation is critical for enhancing skeletal muscle growth rate and quality.
Calcium ions (Ca2+), as vital intracellular second messengers, play central roles in regulating diverse cellular functions, particularly in muscle cell signaling and functional maintenance. The calcium/calmodulin-dependent protein kinases (CaMKs) family acts as key effectors of Ca2+ signaling pathways, modulating cell cycle progression, metabolism, and gene expression [13,14]. CaMK4 has garnered attention for its potential role in skeletal muscle development. Predominantly expressed in the brain, immune, and reproductive tissues, CaMK4 activity is regulated by the calcium/calmodulin complex and phosphorylates nuclear transcription factors such as the cAMP response element-binding protein (CREB), thereby controlling gene transcription [15,16,17]. During muscle development, studies have revealed that the CaMK4 gene interacts with transcription factors or proteins in multiple muscle development-related signaling pathways [18]. In muscle tissue, CaMK4 is involved not only in regulating cell proliferation but also closely linked to glucose metabolism, modulating insulin signaling to maintain energy homeostasis in muscle fibers [19,20]. Another study on mouse skeletal muscle revealed that overexpression of CaMK4 significantly promotes mitochondrial biogenesis and fiber type conversion from fast-twitch to slow-twitch fibers, while simultaneously upregulating PGC-1α expression [21]. Although CaMK4 is well studied in human and rodent systems, its role in ruminant muscle biology remains unexplored, hindering a comprehensive understanding of its regulatory role in muscle growth.
Multi-omics integration has helped reveal differentiation trajectories of muscle stem cells, such as satellite cells, during development and regeneration. For instance, integrating single-cell transcriptomic and spatial transcriptomic data have identified rare transitional progenitor states that are crucial for muscle regeneration [22]. Furthermore, combining epigenomic data (e.g., ATAC-Seq) with transcriptomics help elucidate how gene regulatory networks drive myogenesis [23].
Therefore, we used goat MuSCs as a model to systematically investigate the regulatory role of CaMK4 in MuSCs proliferation using transcriptomic and proteomic approaches. CaMK4 overexpression and knockdown models were established to assess its impact on cell proliferation and to identify key regulatory pathways and molecular networks. This study aims to fill the knowledge gap regarding the role of CaMK4 in muscle development in ruminants, providing potential molecular insights and targets for muscle development research to enhance meat goat production.

2. Materials and Methods

2.1. Isolation, Culture, and Identification of Skeletal Muscle Satellite Cells

All animal procedures in this study conducted in strict accordance with the Guidelines for the Ethical Review of Laboratory Animal Welfare (GB/T 35892-2018) and were approved by the Southwest University Animal Ethics Committee (Approval No. IACUC-20240723-01, 25 July 2024). Fresh longissimus dorsi muscle tissue was collected from a healthy 1-month-old Dazu black goat, sourced from the Experimental Goat Farm of Southwest University (29°49′ N, 106°25′ E). Muscle satellite cells (MuSCs) were isolated using mechanical mincing combined with enzymatic digestion. Cells were purified by differential adhesion and cultured in complete DMEM medium supplemented with 10% fetal bovine serum and 1% penicillin-streptomycin at 37 °C under 5% CO2.
The purity and identity of MuSCs were verified by immunofluorescence staining using a PAX7 Polyclonal antibody (Proteintech, 20570-1-AP, Chicago, IL, USA), with nuclei counterstained by DAPI (Solarbio, Beijing, China). Nuclei appeared blue, while Pax7-positive cells showed green nuclear localization, confirming the MuSCs phenotype. Fluorescence images were captured using an inverted fluorescence microscope (Leica, Wetzlar, Germany).

2.2. Construction of CaMK4 Overexpression Lentiviral Vector and CaMK4-Targeted shRNA Interference Plasmid

To investigate the role of CaMK4 in muscle satellite cells (MuSCs), a CaMK4 overexpression lentiviral vector and CaMK4-targeting shRNA plasmid were constructed. The CaMK4 overexpression vector (HBLV-g-CAMK4-3XFLAG-ZsGreen-PURO) and CAMK4-targeted shRNA plasmid (pHBLV-U6-MCS-CMV-ZsGreen-PGK-PURO) were custom synthesized by Hanheng Biotechnology Co., Ltd. (Shanghai, China). Transfect cells at 50–70% confluence and observe fluorescence after 72 h of incubation. After transfection, total RNA was extracted using TRIzol reagent (Invitrogen, Carlsbad, CA, USA) according to the manufacturer’s instructions, and reverse-transcribed into cDNA using the PrimeScript RT reagent kit (Takara, Kyoto, Japan). Quantitative real-time PCR was performed with TB Green® Premix Ex Taq™ II (Tli RNaseH Plus) (Takara, Japan) on a CFX96 Real-Time PCR Detection System (Bio-Rad, Hercules, CA, USA). GAPDH was used as the internal control, and relative gene expression was calculated using the 2−ΔΔCt method. Primer sequences are listed in Supplementary Table S2 and were synthesized by Tianyihuiyuan Biotechnology Co., Ltd. (Wuhan, China).

2.3. Evaluation of CaMK4-Mediated Effects on Muscle Satellite Cell Proliferation and Cell Cycle Dynamics

To systematically investigate the role of CaMK4 in goat muscle satellite cells (MuSCs), two treatment groups (four total groups) were established: CaMK4 overexpression group (LV_OE_C) and its empty vector negative control (LV_NC_C); CaMK4 knockdown group (LV_KD_S) and its corresponding empty vector control (LV_NC_S), each with three biological replicates, to ensure repeatability.
Cell Viability Assay (CCK-8): MuSCs were seeded in 96-well plates at a density of approximately 1 × 104 cells/well. CCK-8 working solution (Solarbio, Beijing, China) was added at 24 h, 48 h and 72 h after transfection, and incubated for 2 h. Absorbance at 450 nm was measured using the Multiskan FC microplate reader (Thermo Fisher Scientific, Waltham, MA, USA) to assess changes in cell viability.
DNA Synthesis Assay (EdU): DNA synthesis was evaluated using the Cell-Light™ EdU Apollo®488 Stain Kit (Ribobio, C10371-3, Shanghai, China). Following 24-h transfection incubation, remove the virus-containing medium and add fresh complete medium. Continue culturing until 48 h, cells were incubated with 50 μM EdU solution for 3 h, followed by fixation, permeabilization, and staining according to the manufacturer’s protocol. Fluorescence images were captured with a fluorescence microscope (Leica, Germany), and the percentage of EdU-positive cells was quantified. Non-transfected cells served as negative controls to assess background signal and treatment effects on proliferation. Image analysis, including cell counting and signal intensity quantification, was performed using ImageJ(1.54j) software (National Institutes of Health, Bethesda, MD, USA), incorporating multi-channel image merging and EdU-positive cell percentage.
Cell Cycle Analysis: Transfected MuSCs were fixed overnight in 70% methanol, washed with PBS, and stained with FxCycle™ PI/RNase staining solution (Invitrogen, USA) for 15 min at room temperature in the dark. Cell cycle distribution (G0/G1, S, and G2/M phases) was analyzed by flow cytometry (BD FACSCanto II, Franklin Lakes, NJ, USA), and data were processed using FlowJo(v11) software (Stanford University, Palo Alto, CA, USA).

2.4. Transcriptomic Profiling Reveals CaMK4-Mediated Transcriptional Regulation in Goat Muscle Satellite Cells

To systematically investigate the transcriptional regulatory role of CaMK4 in goat muscle satellite cells (MuSCs), this experiment established two treatment groups consistent with cellular function: LV_OE_C and LV_NC_C; LV_KD_S and LV_NC_S. Each group included four biological replicates to ensure reproducibility of the experimental results.
Following cell transfection, total RNA was extracted for subsequent transcriptome sequencing. Libraries were prepared using the NEBNext® Ultra™ RNA Library Prep Kit (New England Biolabs, Ipswich, MA, USA) and sequenced on the Illumina NovaSeq 6000 platform with paired-end reads. Raw sequencing data were quality-controlled using fastp(0.18.0) to remove adapter contamination and low-quality reads [24], yielding high-quality clean reads. Clean reads were aligned to the goat reference genome (Capra hircus ARS1) using HISAT2(v2.1.0) [25]. Transcript assembly was performed with StringTie(v1.3.4) based on alignment results [26]. Gene expression levels were quantified using RSEM(1.2.19) [27], generating read count matrices. Differentially expressed genes (DEGs) were identified using the DESeq2(v1.20.0) package [28] with thresholds of |log2(Fold Change)| > log2(1.5) and p-value < 0.05. Functional enrichment analyses for Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathways were conducted via the MetaboAnalyst 6.0 online platform (https://www.metaboanalyst.ca, accessed on 13 February 2025). Bonferroni correction was applied to p-value to reduce the false-positive rate. Terms with adjusted p-value < 0.05 were considered significant enrichment signals among differentially expressed genes.
To validate the transcriptomic results, several significantly regulated genes from both CaMK4 overexpression and knockdown groups were randomly selected for RT-qPCR verification (e.g., C1QTNF3, NR4A3 and CCDC80). Primer sequences are provided in Supplementary Table S2.

2.5. Proteomic Profiling and Functional Analysis of CaMK4-Mediated Effects in Muscle Satellite Cells Using DIA Mass Spectrometry

Cell samples for proteomic analysis were prepared and grouped as described in Section 2.4. After transfection, collect cells by centrifugation, rapidly frozen in liquid nitrogen, and ground thoroughly. Lysis buffer was added for complete protein extraction. Samples were heated at 95 °C and 1000 rpm for 10 min, cooled, then digested with trypsin buffer at 37 °C and 500 rpm for 2 h. The digestion reaction was terminated, and peptides were purified using the iST kit (PreOmics, Germany). All samples were analyzed using the Orbitrap Lumos mass spectrometer (Thermo Fisher Scientific, MA, USA) connected to the EASY-nLC 1200 system via DIA (Data Independent Acquisition) technology for proteomics analysis. Raw data quality control was conducted with QuiC(v5) software(Biognosys, Zurich, Switzerland) [29] to ensure data integrity and reproducibility. Subsequently, DIA data were quantitatively analyzed with Spectronaut Pulsar(v17) software(Biognosys, Zurich, Switzerland) [30] based on a Data-Dependent Acquisition (DDA) spectral library. Only identifications with a false discovery rate (FDR) ≤ 1% at both protein and peptide levels were retained for further analysis. Differential expression was assessed using fold change (|FC| > 1.2) and p < 0.05. Functional annotation of differentially expressed proteins (DEPs) was performed using GO and KEGG databases. Bonferroni correction was applied to p-value to reduce the false-positive rate. Terms with adjusted p-value < 0.05 were considered significant enrichment signals among differentially expressed proteins.

2.6. Joint Multi-Omics Analysis Identifies Critical CaMK4-Regulated Genes and Pathways in Muscle Satellite Cells

To comprehensively integrate transcriptomic and proteomic expression changes and identify key downstream targets and functional pathways regulated by CaMK4, we performed joint analysis of transcriptome and proteome data from CaMK4 overexpression and knockdown groups. DEGs and DEPs with significant changes in both overexpression and knockdown conditions were extracted for intersection analysis. Venn diagrams were generated using the online tool (https://www.omicshare.com/, accessed on 15 February 2025) to identify intersecting genes exhibiting significant alterations at both transcriptional and protein levels, termed interacted candidate genes (ICGs). Subsequently, GO functional annotation and KEGG pathway enrichment analyses were conducted on the ICGs.

2.7. Statistical Analysis of Experimental Data

All key experiments, including RT-qPCR, CCK-8, EdU assay, and cell cycle analysis, were performed with at least three independent biological replicates (n ≥ 3). Data are presented as the mean ± standard deviation (mean ± SD). Graphs and statistical analyses were generated using GraphPad Prism 9.0 (GraphPad Software, San Diego, CA, USA). Two-group comparisons were conducted using two-tailed unpaired Student’s t-test, with p < 0.05 considered statistically significant.

3. Results

3.1. Successful Construction of CaMK4 Overexpression and Knockdown Models

Two hours after isolation and purification, goat skeletal muscle satellite cells (MuSCs) slowly adhered to the culture dish, exhibiting a typical elongated spindle shape (Figure 1A). Immunofluorescence detection showed that the positivity rate for PAX7 expression approached 100%, indicating that the purity of the isolated cells met the requirements for subsequent experiments (Figure 1B). After constructing the CaMK4 overexpression plasmid and the CaMK4-shrNA interference plasmid, through a Polybrene concentration gradient experiment, 4 μg/mL was determined to be the optimal transfectant concentration, balancing transfection efficiency and cell viability (Figure 1C). Subsequently, lentiviral MOI gradient experiments showed that under MOI = 100 (overexpression group) and MOI = 80 (knockdown group) conditions, the cells exhibited the highest fluorescence intensity and normal morphology (Figure 1D). RT-qPCR detection further confirmed the significant transfection efficiency of both groups, ensuring the reliability of subsequent experimental data (Figure 1E).

3.2. CaMK4 Inhibits the Proliferation of Goat MuSCs

The results of CCK-8 cell viability assay (Figure 1F) indicated that the cell viability in the overexpression group decreased significantly over time (24, 48 and 72 h, p < 0.01), while that in the knockdown group showed a significant increase, suggesting that CaMK4 was involved in inhibiting the proliferation process of MuSCs. As time increased, the survival rate for the overexpressed group decreased from 88.5% to 81.2% and then to 64.7%, while the survival rate for the control group increased from 100% to 109% and then to 118%. The EdU experiment verified the inhibitory effect of CaMK4 on the proliferation of MuSCs (Figure 1G,H): overexpression of CaMK4 significantly reduced the proportion of EdU-positive cells (1.45 times, p < 0.01), while it significantly increased in the knockdown group (1.17 times, p < 0.01). RT-qPCR analysis (Figure 1I) showed that the expressions of cell proliferation-related genes CCND2, CDKN1C and PCNA in the CaMK4 overexpression group were significantly down-regulated (p < 0.05), while in the knockdown group, they showed a significant up-regulated trend. Flow cytometry analysis (Figure 1J) indicated that overexpression of CaMK4 caused the cell cycle of MuSCs to arrest at the G0/G1 phase, from 88.1% to 96.7%, further supporting its function of inhibiting cell proliferation.

3.3. Study on the Transcriptional Regulatory Mechanisms of CaMK4 Overexpression

In this study, total cellular RNA was extracted from eight samples of LV_OE_CT and LV_NC_CT for transcriptomic sequencing. A total of 350 genes that exhibited significant DEGs were identified (Figure 2A), including 64 up-regulated genes and 286 down-regulated genes.
KEGG enrichment analysis (Figure 2B) revealed that a significant number of genes were enriched in the cAMP signaling pathway (e.g., PDE4B, VAV1, and EDN1), the regulation of the actin cytoskeleton (e.g., PFN2, MYL11, and FGF7), and the PI3K-Akt signaling pathway (e.g., TNR, NR4A1, and FGF7). These pathways have been associated with cell proliferation and muscle development. GO enrichment analysis (Figure 2B) demonstrated that a substantial proportion of entries were associated with DNA-binding transcription activator activity (e.g., NR4A1, HOXD3, and MYBL1), fibroblast growth factor receptor binding (e.g., FLRT2 and FGF7), DNA binding (e.g., NR4A1, MYBL1, and HOXD3), and growth factor activity (e.g., GDF9, FGF7, and JAG2), among other biological functions related to cell proliferation. Furthermore, there are some GO entries related to signaling, such as signaling receptor activator activity (e.g., GDF9, FLRT2, and CXCL5) and ligand-gated calcium channel activity (e.g., TRPA1 and RYR1). In summary, overexpression of CaMK4 leads to a significant downregulation of the transcription activator MYBL1 and the developmental regulator HOXD3.

3.4. Study on the Proteomic Regulatory Mechanisms of CaMK4 Overexpression

Among the 8 protein samples from LV_OE_CP and LV_NC_CP after CaMK4 gene overexpression treatment, 446 DEPs were identified (Figure 2C), including 227 proteins that were upregulated and 219 proteins that were downregulated. KEGG enrichment analysis revealed (Figure 2D) that pathways including steroid hormone biosynthesis (e.g., COMT, PGFS, and HSD11B1), calcium signaling pathway (e.g., TNNC2, CA1, and CA5B), and JAK-STAT signaling pathway (e.g., JAK2, GFAP, and CCND2). Additionally, we found that the PCNA was enriched in signaling pathways related to cell proliferation and muscle development, such as DNA replication, mismatch repair, and cell cycle. GO enrichment analysis (Figure 2D) revealed numerous entries related to biological processes associated with DNA synthesis, such as DNA N-glycosylase activity (e.g., TDG and PCNA), histone binding (e.g., NCAPG2, JAK2, and APBB1), and MutLalpha complex binding (e.g., WRN and PCNA). Additionally, we found that the ACTN2 is enriched in GO entries related to cation binding, metal ion binding, ion binding, and calcium ion binding. In summary, CaMK4 overexpression significantly reduces the protein abundance of molecules associated with cell proliferation and muscle development.

3.5. Study on the Transcriptional Regulatory Mechanisms of CaMK4 Knockdown

In this study, total cellular RNA was extracted from eight samples of LV_KD_ST and LV_NC_ST for transcriptomic sequencing. A total of 2525 DEGs were identified (Figure 2E), including 664 that were upregulated and 1861 that were downregulated. KEGG enrichment analysis (Figure 2F) revealed that many genes were significantly enriched in the cell cycle (e.g., E2F2, CCND2, and TTK), DNA replication (e.g., FEN1, MCM5, and PCNA), focal adhesion (e.g., CCND2, MYL11, and PDGFRA), and the regulation of the actin cytoskeleton (e.g., CCND2, MYL11, and PDGFRA). These pathways are related to muscle function and cell proliferation. GO enrichment analysis (Figure 2F) showed that a large number of entries related to muscle cell growth and development were significantly enriched, such as cytoskeletal protein binding (e.g., SRPX2, L1CAM, and LYST), actin binding (e.g., CACNB2, MYO16, and KIF18A), and tubulin binding (e.g., NDC80, KIF23, and PRC1). Notably, a large number of genes are enriched in GO entries related to cell proliferation, including binding (e.g., SRPX2, GEM, and GSTM1), DNA-binding transcription factor activity (e.g., TBX1, FOXD1, and FOSB), transcription regulatory region nucleic acid binding (e.g., DACH1, TBX1, and CCAR1), and protein binding (e.g., SRPX2, GSTM1, and CCND2). In summary, CaMK4 knockdown significantly enhanced the expression of multiple genes associated with cell cycle regulation and cytoskeletal remodeling.

3.6. Study on the Proteomic Regulatory Mechanisms of CaMK4 Knockdown

Among the 8 protein samples from LV_KD_SP and LV_NC_SP after CaMK4 gene knockdown treatment, 1707 DEPs were screened (Figure 2G), of which 656 proteins were upregulated and 1051 proteins were downregulated. KEGG enrichment analysis revealed (Figure 2H) that DEPs were significantly enriched in ECM-receptor interaction (e.g., COL6A1, COL2A1, and LAMB2), DNA replication (e.g., RFC2, FEN1, and MCM5), focal adhesion (e.g., MYL11, LAMB2, and COL6A1), PI3K-Akt signaling pathway (e.g., JAK2, LAMB2, and COL6A1), and cardiac muscle contraction (e.g., TPM4, ACTC1, and ATP1B3), among other cell proliferation and muscle contraction-related signaling pathways. GO enrichment analysis (Figure 2H) showed that GO terms significantly related to cell proliferation, including RNA binding (e.g., TRA2B, SNRPD3, and FMR1), nucleic acid binding (e.g., TRA2B, PUS1, and SUGP2), and growth factor binding (e.g., VASN, NRP1, and COL2A1). In summary, CaMK4 knockdown significantly increased the abundance of proteins associated with interactions with focal adhesions and the extracellular matrix (ECM).

3.7. Combined Analysis of CaMK4 Overexpression and Knockdown Transcriptomics and Proteomics

Based on the results of transcriptional and protein differential analysis following CaMK4 gene overexpression treatment, this study identified a total of 26 intersecting ICGs (e.g., CA1, HAS1, CaMK4, and ECHDC2) (Figure 3A). KEGG enrichment analysis results showed (Figure 3B) that CA1 and TDH genes were enriched in metabolic pathways, nitrogen metabolism, and glycine, serine, and threonine metabolism, which are signaling pathways related to metabolic processes. GO enrichment analysis results (Figure 3C) show that a large number of genes (e.g., TGFBI, C3, and TDH) are enriched in GO terms related to molecular function regulators, binding, and protein binding.
Animals 15 03083 g003
Figure 3. CaMK4 overexpression and knockdown transcription-proteomics combined analysis. (A) Nine-quadrant plot of differential analysis of mRNAs and proteins after CaMK4 overexpression. (B) KEGG pathway analysis of differentially expressed mRNAs and proteins after CaMK4 overexpression. (C) GO term analysis of differentially expressed mRNAs and proteins after CaMK4 overexpression. (D) Nine-quadrant plot of differential analysis of mRNAs and proteins after CaMK4 knockdown. (E) KEGG pathway analysis of differentially expressed mRNAs and proteins after CaMK4 knockdown. (F) GO term analysis of differentially expressed mRNAs and proteins after CaMK4 knockdown. (G) RT-qPCR validation of differentially expressed genes after CaMK4 overexpression and knockdown (* p < 0.05, ** p < 0.01, *** p < 0.001, **** p < 0.0001). (H) Venn diagram of DEGs and DEPs across the four comparisons. (I) Expression levels of the four intersecting genes and CaMK4 from transcriptome sequencing data (*** p < 0.001, **** p < 0.0001).
Figure 3. CaMK4 overexpression and knockdown transcription-proteomics combined analysis. (A) Nine-quadrant plot of differential analysis of mRNAs and proteins after CaMK4 overexpression. (B) KEGG pathway analysis of differentially expressed mRNAs and proteins after CaMK4 overexpression. (C) GO term analysis of differentially expressed mRNAs and proteins after CaMK4 overexpression. (D) Nine-quadrant plot of differential analysis of mRNAs and proteins after CaMK4 knockdown. (E) KEGG pathway analysis of differentially expressed mRNAs and proteins after CaMK4 knockdown. (F) GO term analysis of differentially expressed mRNAs and proteins after CaMK4 knockdown. (G) RT-qPCR validation of differentially expressed genes after CaMK4 overexpression and knockdown (* p < 0.05, ** p < 0.01, *** p < 0.001, **** p < 0.0001). (H) Venn diagram of DEGs and DEPs across the four comparisons. (I) Expression levels of the four intersecting genes and CaMK4 from transcriptome sequencing data (*** p < 0.001, **** p < 0.0001).
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Based on the results of transcriptional and protein differential analysis following CaMK4 gene knockdown treatment, this study identified 377 intersecting ICGs (e.g., OAS1, ALDH1A1, MYH7, and CXADR) (Figure 3D). KEGG enrichment analysis results showed (Figure 3E) that the cell cycle (e.g., PPIF, NFKB1, and DDIT3), spliceosome (e.g., NFKB1, HSP90B1, and TGFBR2), P53 signaling pathway (e.g., NFKB1, ARF6, and ABL2), and calcium signaling pathway (e.g., MYL11, ITGA6, and MYLK), which are highly associated with cell proliferation processes, were significantly enriched. Notably, a large number of downregulated genes (e.g., NFKB1, CSF1, and MAP2K1) were enriched in the cell cycle and P53 signaling pathways. Additionally, pathways related to muscle tissue development, such as Regulation of actin cytoskeleton (e.g., PPIF, NFKB1, and ABL2) and Focal adhesion (e.g., NFKB1, CTSK, and DDIT3). GO enrichment analysis results (Figure 3F) showed that nucleic acid binding (e.g., L1CAM, MYLK, and CNN1), and protein binding (e.g., L1CAM, MYLK, and CNN1) were the most significantly enriched.
RT-qPCR results (Figure 3G) showed that the expression trends of the selected DEGs were consistent with the sequencing data, indicating that the transcription data analysis results in this part of the study were reliable. Further analysis of the 26 overlapping ICGs between the CaMK4 gene overexpression group and the 377 overlapping ICGs in the CaMK4 gene knockdown group revealed that four genes remained overlapping after the two groups were further intersected: LGALS9, CTHRC1, HAS1, and TDH (Figure 3H). Notably, HAS1 and TDH were upregulated at both the mRNA and protein levels in the CaMK4 gene overexpression group, while they were downregulated in the CaMK4 gene knockdown group (Figure 3I).

4. Discussion

This study systematically revealed the important role of the CaMK4 gene in regulating the proliferation of goat MuSCs. The results showed that CaMK4 overexpression significantly inhibited MuSCs proliferation, as evidenced by decreased expression levels of the proliferation marker genes PCNA, CCND2, and CDKN1C; conversely, CaMK4 knockdown upregulated the expression of these genes, thereby promoting cell proliferation. This trend aligns with the critical role of PCNA in DNA synthesis [31,32] and the functional roles of CCND2 and CDKN1C in regulating cell cycle progression [33,34]. Further cell cycle analysis revealed that CaMK4 overexpression led to cell accumulation in the G0/G1 phase, accompanied by a decrease in the proportion of cells in the S phase, suggesting that it inhibits cell proliferation by blocking the G1/S phase transition. Combining the known functional characteristics of calmodulin- dependent kinase in regulating cell cycle progression [35]. This study reveals that the CaMK4-mediated cell cycle arrest is an important mechanism limiting MuSCs proliferation, providing new theoretical basis for further understanding the molecular regulatory network of muscle growth and regeneration.
Additionally, it is important to emphasize that CaMK4 exhibits significant functional heterogeneity across different cell types and species. For example, in human promyelocytic leukemia cells [36], mouse pancreatic β cells [37], and bone marrow hematopoietic stem cells [38], CaMK4 exhibits an inhibitory effect on proliferation; whereas in mouse Tfh cells [39], renal cystic epithelial cells [40], and liver cancer cells [41], it promotes proliferation. This discrepancy may stem from variations in the cellular microenvironment, species specificity, and the activation status of upstream signaling pathways (such as MAPK/Bcl-2), suggesting that the regulatory mechanism of CaMK4 in goat MuSCs has unique cell type-dependent characteristics.
Furthermore, as an important member of the calcium/calmodulin-dependent kinase family, CaMK4 plays multiple roles in muscle development and functional regulation. It not only regulates skeletal muscle glucose metabolism and insulin gene expression but also promotes mitochondrial biogenesis and balances muscle energy metabolism [42,43]. At the molecular level, CaMK4 enhances the transcriptional activity of MEF2 by phosphorylating histone deacetylase 5 (HDAC5), thereby releasing the inhibitory complex formed between HDAC5 and the muscle-specific transcription factor MEF2. This promotes muscle gene expression and muscle cell differentiation [44,45,46]. This molecular mechanism provides a solid molecular basis for CaMK4 regulation of muscle cell fate.
The transcriptomic and proteomic results of this study further reveal that CaMK4 overexpression exerts a synergistic inhibitory effect on multiple signaling pathways associated with cell proliferation and muscle development. Specifically, CaMK4 overexpression leads to a significant downregulation of the transcription activator MYBL1 and the developmental regulator HOXD3. Previous studies have shown that MYBL1, as a potent transcription activator, promotes cell proliferation and signal transduction in various cell types [47,48], while miR-145-3p inhibition of MYBL1 expression reduces MuSCs proliferation and mitochondrial function, highlighting its central role in proliferation regulation [49]. Similarly, high expression of HOXD3 during development promotes cell proliferation, and its knockdown is associated with increased apoptosis [50]. Therefore, the synchronous downregulation of both suggests that CaMK4 may weaken the proliferative potential of MuSCs by inhibiting the activity of key transcription factors at the transcriptional regulation level.
At the proteomic level, CaMK4 overexpression significantly reduces the protein abundance of JAK2, ACTN2, and PCNA, which are associated with cell proliferation and muscle development. The JAK2 tyrosine kinase-mediated JAK2/STAT3 signaling pathway plays a key role in muscle cell proliferation and atrophy regulation [51,52], and its inhibition can induce muscle cell apoptosis [53]. ACTN2, as a skeletal muscle-specific actin structural protein, is closely associated with muscle weakness and muscle development abnormalities [54,55]. PCNA is an essential factor for cells to transition from the G1 phase to the S phase, participating in DNA replication and repair, and is also upregulated as a proliferation marker during muscle repair [56,57]. The significant downregulation of these proteins not only indicates that CaMK4 exerts multi-level inhibition on MuSCs proliferation but also suggests that it may impair muscle tissue regeneration capacity after injury.
More importantly, joint analysis revealed that TGFBI was significantly upregulated at both the transcriptomic and proteomic levels, while C3 was simultaneously downregulated. TGFBI is a potent inhibitory factor in skeletal muscle development, acting by blocking the PI3K/Akt/mTOR signaling pathway to inhibit muscle cell proliferation and differentiation [58,59]. In contrast, C3 participates in muscle remodeling by promoting the differentiation of myoblasts (including satellite cells) during muscle regeneration, and its downregulation suggests that the differentiation process may be impaired [60].
In contrast to the inhibitory effects of CaMK4 overexpression, further analysis revealed that CaMK4 knockdown significantly enhanced the expression of multiple genes associated with cell cycle regulation and cytoskeletal remodeling, such as GSTM1 and CCND2. GSTM1, as a key molecule involved in oxidative stress metabolism, can influence cell activity and cycle progression by regulating the NF-κB and STAT3 signaling pathways [61,62]. CCND2, on the other hand, promotes G1/S phase transition, thereby directly enhancing cell proliferation capacity [63,64].
At the proteomic level, CaMK4 knockdown significantly increased the abundance of proteins associated with interactions with focal adhesions and the extracellular matrix (ECM), such as laminin beta 2 (LAMB2) and type VI collagen alpha 1 (COL6A1). As is well known, focal adhesions are the core structural and signaling hubs connecting the cytoskeleton to the ECM, maintaining cell morphology while participating in signaling regulation [65,66]. LAMB2 activates cyclin D1 to promote entry into the S phase [67], while COL6A1, as an essential ECM component for MuSCs self-renewal and muscle regeneration, is critical for muscle tissue stability [68,69].
Further joint analysis of transcriptomic and proteomic data revealed that myosin light chain kinase (MYLK) and calmodulin subtype 1 (CNN1) were significantly upregulated at both the transcriptional and protein levels. As a member of the CAMKs family, MYLK enhances skeletal muscle sensitivity to Ca2+ and mechanical performance by regulating the phosphorylation level of myosin light chain [70,71]. Although CNN1 is traditionally considered a smooth muscle marker protein, it also exhibits detectable expression levels in skeletal muscle, with functions closely associated with muscle cell proliferation and contraction. Previous studies have shown that CNN1 knockdown inhibits the proliferation and differentiation of MuSCs [72,73]. Notably, a large number of downregulated genes (e.g., NFKB1, CSF1, and MAP2K1) are enriched in the cell cycle and p53 signaling pathways. In the classic p53-p21-RB axis, p53 can upregulate p21 expression by activating CDKN1A, thereby synergistically inhibiting the transcription of cell cycle genes with the RB-E2F complex, leading to G1 phase arrest and blocking the activation of S phase genes [74]. This study found that CDKN1A gene expression was downregulated, suggesting that CaMK4 knockdown promotes cell proliferation by inhibiting the p53 signaling pathway. These data support the notion that CaMK4 knockdown promotes the growth and development of MuSCs through skeletal structure regulation.
Additionally, this study found that CaMK4 showed significant positive correlations with L-threonine dehydrogenase (TDH) and hyaluronan synthase 1 (HAS1) at both the transcriptional and protein levels. TDH, as the rate-limiting enzyme in mitochondrial threonine metabolism, mediates the conversion of threonine into glycine and acetyl-CoA, thereby linking energy metabolism and the tricarboxylic acid cycle [75]. In embryonic stem cells, TDH has been shown to regulate cellular activity and proliferation status; its inhibition induces autophagy and leads to proliferation arrest [76,77]. Meanwhile, HAS1 participates in the synthesis of hyaluronic acid (HA), a major component of the extracellular matrix (ECM). HA promotes the migration and proliferation of MuSCs during tissue development, injury repair, and muscle regeneration [78]. Although the HA synthesis rate of HAS1 is lower than that of HAS2, its peak expression during early muscle differentiation suggests a potential role in regulating initial muscle development [79,80]. HAS1 is significantly upregulated during muscle hypertrophy. Studies indicate that following Achilles tendon resection-induced plantar muscle hypertrophy in rats, both HAS1 gene expression and hyaluronic acid (HA) synthesis are markedly increased [81]. Overall, these results suggest that CaMK4 participates in the co-regulation network of the metabolic microenvironment of MuSCs by regulating the TDH-mediated metabolic pathway and the ECM microenvironment regulated by HAS1. This influences the proliferation and function of MuSCs.
This study reveals the potential role of CaMK4 in the proliferation of goat muscle-derived stem cells (MuSCs) and its underlying molecular mechanisms. These findings may provide new insights into goat muscle development and positively impact the production of high-quality meat goats. Additionally, they offer a reference for identifying candidate genes for cross-species genetic marker selection in subsequent domestic animal breeding programs. However, this study still has some limitations. First, the experiments were based primarily on in vitro systems and lacked in vivo validation. Second, the precise signaling pathways and upstream regulatory factors remain unclear. Future studies could combine gene editing with animal models to elucidate the biological functions of CaMK4 further and utilize single-cell omics technologies to explore its dynamic roles in different muscle cell populations and microenvironments. This research would reveal the fine-tuned regulatory mechanisms of CaMK4 and provide important theoretical foundations for improving meat performance in ruminants and for preventing and treating muscle-related diseases.

5. Conclusions

This study clearly demonstrated that CaMK4 acts as a negative regulator of goat MuSC proliferation by suppressing key genes and proteins involved in cell cycle progression, cytoskeletal organization, and muscle development. Knockdown of CaMK4 promoted cell adhesion- and ECM-related pathways, as well as metabolic processes such as threonine metabolism, thereby enhancing skeletal muscle growth potential. By integrating transcriptomic and proteomic data, we established a molecular framework for CaMK4-mediated regulation in muscle development. These findings may not only advance our understanding of muscle growth mechanisms in ruminants but also offer new insights for improving meat quality and production efficiency. Future work will combine gene editing with animal models to further elucidate specific signaling pathways and upstream regulatory factors.

Supplementary Materials

The following supporting information can be downloaded at: https://www.mdpi.com/article/10.3390/ani15213083/s1. Table S1: The viral vector siRNA sequences and shRNA sequence information; Table S2: Primer sequences for cell proliferation and transcriptome validation genes; Table S3: Transcriptomic DEGs upon CaMK4 overexpression in goat MUSCs; Table S4: GO enrichment analysis of transcriptomic DEGs upon CaMK4 overexpression in goat MUSCs; Table S5: KEGG enrichment analysis of transcriptomic DEGs upon CaMK4 overexpression in goat MUSCs; Table S6: Proteomic DEPs upon CaMK4 overexpression in goat MUSCs; Table S7: GO enrichment analysis of proteomic DEPs upon CaMK4 overexpression in goat MUSCs; Table S8: KEGG enrichment analysis of proteomic DEPs upon CaMK4 overexpression in goat MUSCs; Table S9: Transcriptomic DEGs upon CaMK4 knockdown in goat MUSCs; Table S10: GO enrichment analysis of transcriptomic DEGs upon CaMK4 knockdown in goat MUSCs; Table S11: KEGG enrichment analysis of transcriptomic DEGs upon CaMK4 knockdown in goat MUSCs; Table S12: Proteomic DEPs upon CaMK4 knockdown in goat MUSCs; Table S13: GO enrichment analysis of proteomic DEPs upon CaMK4 knockdown in goat MUSCs; Table S14: KEGG enrichment analysis of proteomic DEPs upon CaMK4 knockdown in goat MUSCs; Table S15: GO enrichment analysis of DEGs from joint transcriptomic and proteomic analysis upon CaMK4 overexpression in goat MUSCs; Table S16: KEGG enrichment analysis of DEGs from joint transcriptomic and proteomic analysis upon CaMK4 overexpression in goat MUSCs; Table S17: KEGG enrichment analysis of DEGs from joint transcriptomic and proteomic analysis upon CaMK4 knockdown in goat MUSCs; Table S18: GO enrichment analysis of DEGs from joint transcriptomic and proteomic analysis upon CaMK4 knockdown in goat MUSCs.

Author Contributions

Conceptualization, G.E.; methodology, T.R., H.Z., C.L., Y.H., P.H. and Y.Z.; software, T.R., P.R. and H.Z.; validation, Y.L. and Z.W.; formal analysis, H.C., Y.L. and Z.W.; investigation, H.C., L.X., Z.W., P.R. and C.L.; resources, H.Z.; data curation, L.X.; writing—original draft, H.C. and L.X.; writing—review & editing, S.C. and G.E.; visualization, Y.L., T.R., P.R. and C.L.; supervision, Y.H., P.H., Y.Z. and S.C.; project administration, G.E.; funding acquisition, G.E. All authors have read and agreed to the published version of the manuscript.

Funding

This work was supported by the National Natural Science Foundation of China (32272834); Fundamental Research Funds for the Central University (SWU-XDJH202301); the Strategic Cooperation Foundation of Chongqing Municipal People’s Government and Chinese Academy of Agricultural Science.

Institutional Review Board Statement

This study was approved by the Institutional Animal Care and Use Committee (IACUC) of Southwest University (Permit No. IACUC-20240723-01).

Informed Consent Statement

The Dazu Black Goat originates from the Experimental Goat Farm of Southwest University(29°49′ N, 106°25′ E).

Data Availability Statement

The bulk RNA-seq data generated from study are available from SRA database (PRJNA1228310: SRR32638629-44). The proteome sequencing data generated in this study can be obtained from the iProX database (PXD067535).

Conflicts of Interest

The authors declare no conflicts of interest.

References

  1. Wang, J.J.; Li, Z.D.; Zheng, L.Q.; Zhang, T.; Shen, W.; Lei, C.Z. Genome-wide detection of selective signals for fecundity traits in goats (Capra hircus). Gene 2022, 818, 146221. [Google Scholar] [CrossRef]
  2. Wang, J.; Fu, Y.; Su, T.; Wang, Y.; Soladoye, O.P.; Huang, Y.; Zhao, Z.; Zhao, Y.; Wu, W. A Role of Multi-Omics Technologies in Sheep and Goat Meats: Progress and Way Ahead. Foods 2023, 12, 4069. [Google Scholar] [CrossRef]
  3. Lipina, C.; Hundal, H.S. Lipid modulation of skeletal muscle mass and function. J. Cachexia Sarcopenia Muscle 2017, 8, 190–201. [Google Scholar] [CrossRef]
  4. Ma, M.; Cai, B.; Kong, S.; Zhou, Z.; Zhang, J.; Zhang, X.; Nie, Q. PPARGC1A Is a Moderator of Skeletal Muscle Development Regulated by miR-193b-3p. Int. J. Mol. Sci. 2022, 23, 9575. [Google Scholar] [CrossRef]
  5. Han, H.; Wang, X.; Li, W.; Liu, J.; Fan, Y.; Zhang, H.; Yang, J.; Gao, Y.; Liu, Y. Identification and Characterization of lncRNAs Expression Profile Related to Goat Skeletal Muscle at Different Development Stages. Animals 2022, 12, 2683. [Google Scholar] [CrossRef] [PubMed]
  6. Hawke, T.J.; Garry, D.J. Myogenic satellite cells: Physiology to molecular biology. J. Appl. Physiol. 2001, 91, 534–551. [Google Scholar] [CrossRef] [PubMed]
  7. Peng, J.; Han, L.; Liu, B.; Song, J.; Wang, Y.; Wang, K.; Guo, Q.; Liu, X.; Li, Y.; Zhang, J.; et al. Gli1 marks a sentinel muscle stem cell population for muscle regeneration. Nat. Commun. 2023, 14, 6993. [Google Scholar] [CrossRef]
  8. Brun, C.E.; Sincennes, M.C.; Lin, A.Y.T.; Hall, D.; Jarassier, W.; Feige, P.; Le Grand, F.; Rudnicki, M.A. GLI3 regulates muscle stem cell entry into G(Alert) and self-renewal. Nat. Commun. 2022, 13, 3961. [Google Scholar] [CrossRef] [PubMed]
  9. Dumont, N.A.; Wang, Y.X.; Rudnicki, M.A. Intrinsic and extrinsic mechanisms regulating satellite cell function. Development 2015, 142, 1572–1581. [Google Scholar] [CrossRef]
  10. Murphy, M.M.; Lawson, J.A.; Mathew, S.J.; Hutcheson, D.A.; Kardon, G. Satellite cells, connective tissue fibroblasts and their interactions are crucial for muscle regeneration. Development 2011, 138, 3625–3637. [Google Scholar] [CrossRef]
  11. Li, W.; Chen, M.; Zhang, L. Muscle Stem Cell Microenvironment and Functions in Muscle Regeneration. Biomolecules 2025, 15, 765. [Google Scholar] [CrossRef] [PubMed]
  12. Gopal Krishnan, P.D.; Lee, W.X.; Goh, K.Y.; Choy, S.M.; Turqueza, L.R.R.; Lim, Z.H.; Tang, H.-W. Transcriptional regulation of autophagy in skeletal muscle stem cells. Dis. Models Mech. 2025, 18, DMM052007. [Google Scholar] [CrossRef] [PubMed]
  13. Chow, F.A.; Anderson, K.A.; Noeldner, P.K.; Means, A.R. The autonomous activity of calcium/calmodulin-dependent protein kinase IV is required for its role in transcription. J. Biol. Chem. 2005, 280, 20530–20538. [Google Scholar] [CrossRef]
  14. Kaiser, J.; Risteska, A.; Muller, A.G.; Sun, H.; Lei, B.; Nay, K.; Means, A.R.; Cousin, M.A.; Drewry, D.H.; Oakhill, J.S.; et al. Convergence on CaMK4: A Key Modulator of Autism-Associated Signaling Pathways in Neurons. Biol. Psychiatry 2025, 97, 439–449. [Google Scholar] [CrossRef]
  15. Feliciano, D.M.; Edelman, A.M. Repression of Ca2+/calmodulin-dependent protein kinase IV signaling accelerates retinoic acid-induced differentiation of human neuroblastoma cells. J. Biol. Chem. 2009, 284, 26466–26481. [Google Scholar] [CrossRef]
  16. Li, L.; Li, L.; Shao, Y.; Du, R.; Li, L.; Shi, X.; Bai, Y. Calcium/calmodulin dependent protein kinase IV in trophoblast cells under insulin resistance: Functional and metabolomic analyses. Mol. Med. 2023, 29, 82. [Google Scholar] [CrossRef]
  17. Racioppi, L.; Means, A.R. Calcium/calmodulin-dependent kinase IV in immune and inflammatory responses: Novel routes for an ancient traveller. Trends Immunol. 2008, 29, 600–607. [Google Scholar] [CrossRef]
  18. Ito, T.; Young, M.J.; Li, R.; Jain, S.; Wernitznig, A.; Krill-Burger, J.M.; Lemke, C.T.; Monducci, D.; Rodriguez, D.J.; Chang, L.; et al. Paralog knockout profiling identifies DUSP4 and DUSP6 as a digenic dependence in MAPK pathway-driven cancers. Nat. Genet. 2021, 53, 1664–1672. [Google Scholar] [CrossRef] [PubMed]
  19. Arnould, T.; Vankoningsloo, S.; Renard, P.; Houbion, A.; Ninane, N.; Demazy, C.; Remacle, J.; Raes, M. CREB activation induced by mitochondrial dysfunction is a new signaling pathway that impairs cell proliferation. EMBO J. 2002, 21, 53–63. [Google Scholar] [CrossRef]
  20. Buljan, M.; Ciuffa, R.; van Drogen, A.; Vichalkovski, A.; Mehnert, M.; Rosenberger, G.; Lee, S.; Varjosalo, M.; Pernas, L.E.; Spegg, V.; et al. Kinase Interaction Network Expands Functional and Disease Roles of Human Kinases. Mol. Cell 2020, 79, 504–520.e509. [Google Scholar] [CrossRef]
  21. Akimoto, T.; Ribar, T.J.; Williams, R.S.; Yan, Z. Skeletal muscle adaptation in response to voluntary running in Ca2+/calmodulin-dependent protein kinase IV-deficient mice. Am. J. Physiol.-Cell Physiol. 2004, 287, C1311–C1319. [Google Scholar] [CrossRef]
  22. McKellar, D.W.; Walter, L.D.; Song, L.T.; Mantri, M.; Wang, M.F.Z.; De Vlaminck, I.; Cosgrove, B.D. Large-scale integration of single-cell transcriptomic data captures transitional progenitor states in mouse skeletal muscle regeneration. Commun. Biol. 2021, 4, 1280. [Google Scholar] [CrossRef]
  23. Welch, N.; Singh, S.S.; Kumar, A.; Dhruba, S.R.; Mishra, S.; Sekar, J.; Bellar, A.; Attaway, A.H.; Chelluboyina, A.; Willard, B.B.; et al. Integrated multiomics analysis identifies molecular landscape perturbations during hyperammonemia in skeletal muscle and myotubes. J. Biol. Chem. 2021, 297, 101023. [Google Scholar] [CrossRef] [PubMed]
  24. Chen, S.; Zhou, Y.; Chen, Y.; Gu, J. fastp: An ultra-fast all-in-one FASTQ preprocessor. Bioinformatics 2018, 34, i884–i890. [Google Scholar] [CrossRef] [PubMed]
  25. Kim, D.; Langmead, B.; Salzberg, S.L. HISAT: A fast spliced aligner with low memory requirements. Nat. Methods 2015, 12, 357–360. [Google Scholar] [CrossRef] [PubMed]
  26. Pertea, M.; Pertea, G.M.; Antonescu, C.M.; Chang, T.C.; Mendell, J.T.; Salzberg, S.L. StringTie enables improved reconstruction of a transcriptome from RNA-seq reads. Nat. Biotechnol. 2015, 33, 290–295. [Google Scholar] [CrossRef]
  27. Li, B.; Dewey, C.N. RSEM: Accurate transcript quantification from RNA-Seq data with or without a reference genome. BMC Bioinform. 2011, 12, 323. [Google Scholar] [CrossRef]
  28. Love, M.I.; Huber, W.; Anders, S. Moderated estimation of fold change and dispersion for RNA-seq data with DESeq2. Genome Biol. 2014, 15, 550. [Google Scholar] [CrossRef]
  29. Shen, J.; Pagala, V.R.; Breuer, A.M.; Peng, J.; Bin, M.; Wang, X. Spectral Library Search Improves Assignment of TMT Labeled MS/MS Spectra. J. Proteome Res. 2018, 17, 3325–3331. [Google Scholar] [CrossRef]
  30. Kim, Y.J.; Chambers, A.G.; Cecchi, F.; Hembrough, T. Targeted data-independent acquisition for mass spectrometric detection of RAS mutations in formalin-fixed, paraffin-embedded tumor biopsies. J. Proteom. 2018, 189, 91–96. [Google Scholar] [CrossRef]
  31. Wang, S.C. PCNA: A silent housekeeper or a potential therapeutic target? Trends Pharmacol. Sci. 2014, 35, 178–186. [Google Scholar] [CrossRef]
  32. Wen, B.; Zheng, H.X.; Heng, J.H.; Tang, Q.; Deng, D.X.; Zhang, Z.D.; Liao, L.D.; Xu, L.Y.; Li, E.M. Chromatin assembly factor 1 subunit A promotes TLS pathway by recruiting E3 ubiquitin ligase RAD18 in cancer cells. Cell Death Dis. 2025, 16, 147. [Google Scholar] [CrossRef]
  33. Mademtzoglou, D.; Asakura, Y.; Borok, M.J.; Alonso-Martin, S.; Mourikis, P.; Kodaka, Y.; Mohan, A.; Asakura, A.; Relaix, F. Cellular localization of the cell cycle inhibitor Cdkn1c controls growth arrest of adult skeletal muscle stem cells. eLife 2018, 7, e33337. [Google Scholar] [CrossRef]
  34. Zhou, D.; Wang, Y.; Yang, R.; Wang, F.; Zhao, Z.; Wang, X.; Xie, L.; Tian, X.; Wang, G.; Li, B.; et al. The MyoD1 Promoted Muscle Differentiation and Generation by Activating CCND2 in Guanling Cattle. Animals 2022, 12, 2571. [Google Scholar] [CrossRef]
  35. Skelding, K.A.; Rostas, J.A.; Verrills, N.M. Controlling the cell cycle: The role of calcium/calmodulin-stimulated protein kinases I and II. Cell Cycle 2011, 10, 631–639. [Google Scholar] [CrossRef]
  36. Chen, W.W.; Liu, D.B.; Xiao, H.X.; Zhou, L.J.; Qu, J. Identification of differentially expressed genes induced by aberrant methylation in acute myeloid leukemia using integrated bioinformatics analyses. Oncol. Lett. 2022, 24, 383. [Google Scholar] [CrossRef]
  37. Liu, B.; Barbosa-Sampaio, H.; Jones, P.M.; Persaud, S.J.; Muller, D.S. The CaMK4/CREB/IRS-2 cascade stimulates proliferation and inhibits apoptosis of β-cells. PLoS ONE 2012, 7, e45711. [Google Scholar] [CrossRef]
  38. Kitsos, C.M.; Sankar, U.; Illario, M.; Colomer-Font, J.M.; Duncan, A.W.; Ribar, T.J.; Reya, T.; Means, A.R. Calmodulin-dependent protein kinase IV regulates hematopoietic stem cell maintenance. J. Biol. Chem. 2005, 280, 33101–33108. [Google Scholar] [CrossRef] [PubMed]
  39. Scherlinger, M.; Li, H.; Pan, W.; Li, W.; Karino, K.; Vichos, T.; Boulougoura, A.; Yoshida, N.; Tsokos, M.G.; Tsokos, G.C. CaMK4 controls follicular helper T cell expansion and function during normal and autoimmune T-dependent B cell responses. Nat. Commun. 2024, 15, 840. [Google Scholar] [CrossRef] [PubMed]
  40. Zhang, Y.; Daniel, E.A.; Metcalf, J.; Dai, Y.; Reif, G.A.; Wallace, D.P. CaMK4 overexpression in polycystic kidney disease promotes mTOR-mediated cell proliferation. J. Mol. Cell Biol. 2022, 14, mjac050. [Google Scholar] [CrossRef] [PubMed]
  41. Li, Z.; Lu, J.; Zeng, G.; Pang, J.; Zheng, X.; Feng, J.; Zhang, J. MiR-129-5p inhibits liver cancer growth by targeting calcium calmodulin-dependent protein kinase IV (CAMK4). Cell Death Dis. 2019, 10, 789. [Google Scholar] [CrossRef]
  42. Liu, J.; Li, Y.; Gao, N.; Ji, J.; He, Q. Calcium/calmodulin-dependent protein kinase IV regulates vascular autophagy and insulin signaling through Akt/mTOR/CREB pathway in ob/ob mice. J. Physiol. Biochem. 2022, 78, 199–211. [Google Scholar] [CrossRef]
  43. Lee, H.Y.; Gattu, A.K.; Camporez, J.P.; Kanda, S.; Guigni, B.; Kahn, M.; Zhang, D.; Galbo, T.; Birkenfeld, A.L.; Jornayvaz, F.R.; et al. Muscle-specific activation of Ca(2+)/calmodulin-dependent protein kinase IV increases whole-body insulin action in mice. Diabetologia 2014, 57, 1232–1241. [Google Scholar] [CrossRef]
  44. Workman, J.L.; Kingston, R.E. Alteration of nucleosome structure as a mechanism of transcriptional regulation. Annu. Rev. Biochem. 1998, 67, 545–579. [Google Scholar] [CrossRef]
  45. Wu, H.; Naya, F.J.; McKinsey, T.A.; Mercer, B.; Shelton, J.M.; Chin, E.R.; Simard, A.R.; Michel, R.N.; Bassel-Duby, R.; Olson, E.N.; et al. MEF2 responds to multiple calcium-regulated signals in the control of skeletal muscle fiber type. EMBO J. 2000, 19, 1963–1973. [Google Scholar] [CrossRef]
  46. Lu, J.; McKinsey, T.A.; Zhang, C.L.; Olson, E.N. Regulation of skeletal myogenesis by association of the MEF2 transcription factor with class II histone deacetylases. Mol. Cell 2000, 6, 233–244. [Google Scholar] [CrossRef]
  47. Suh, Y.Y.; Lee, K.; Shim, Y.M.; Phi, J.H.; Park, C.K.; Kim, S.K.; Choi, S.H.; Yun, H.; Park, S.H. MYB/MYBL1::QKI fusion-positive diffuse glioma. J. Neuropathol. Exp. Neurol. 2023, 82, 250–260. [Google Scholar] [CrossRef] [PubMed]
  48. Golay, J.; Broccoli, V.; Lamorte, G.; Bifulco, C.; Parravicini, C.; Pizzey, A.; Thomas, N.S.; Delia, D.; Ferrauti, P.; Vitolo, D.; et al. The A-Myb transcription factor is a marker of centroblasts in vivo. J. Immunol. 1998, 160, 2786–2793. [Google Scholar] [CrossRef] [PubMed]
  49. Odame, E.; Li, L.; Nabilla, J.A.; Cai, H.; Xiao, M.; Ye, J.; Chen, Y.; Kyei, B.; Dai, D.; Zhan, S.; et al. miR-145-3p Inhibits MuSCs Proliferation and Mitochondria Mass via Targeting MYBL1 in Jianzhou Big-Eared Goats. Int. J. Mol. Sci. 2023, 24, 8341. [Google Scholar] [CrossRef]
  50. Chen, F.; Sun, G.; Peng, J. RNAi-mediated HOXD3 knockdown inhibits growth in human RKO cells. Oncol. Rep. 2016, 36, 1793–1798. [Google Scholar] [CrossRef] [PubMed]
  51. Vijayakrishnan, L.; Venkataramanan, R.; Gulati, P. Treating inflammation with the Janus kinase inhibitor CP-690,550. Trends Pharmacol. Sci. 2011, 32, 25–34. [Google Scholar] [CrossRef]
  52. Yao, B.; Li, L.; Guan, X.; Zhu, J.; Liu, Q.; Qu, B.; Ding, H. Endurance Training Inhibits the JAK2/STAT3 Pathway to Alleviate Sarcopenia. Physiol. Res. 2024, 73, 295–304. [Google Scholar] [CrossRef] [PubMed]
  53. Song, Z.W.; Jin, C.L.; Ye, M.; Gao, C.Q.; Yan, H.C.; Wang, X.Q. Lysine inhibits apoptosis in satellite cells to govern skeletal muscle growth via the JAK2-STAT3 pathway. Food Funct. 2020, 11, 3941–3951. [Google Scholar] [CrossRef]
  54. Murphy, A.C.; Young, P.W. The actinin family of actin cross-linking proteins—A genetic perspective. Cell Biosci. 2015, 5, 49. [Google Scholar] [CrossRef]
  55. Gupta, V.; Discenza, M.; Guyon, J.R.; Kunkel, L.M.; Beggs, A.H. α-Actinin-2 deficiency results in sarcomeric defects in zebrafish that cannot be rescued by α-actinin-3 revealing functional differences between sarcomeric isoforms. FASEB J. 2012, 26, 1892–1908. [Google Scholar] [CrossRef]
  56. Cokus, S.; Rose, S.; Haynor, D.; Grønbech-Jensen, N.; Pellegrini, M. Modelling the network of cell cycle transcription factors in the yeast Saccharomyces cerevisiae. BMC Bioinform. 2006, 7, 381. [Google Scholar] [CrossRef]
  57. Dragu, A.; Schnürer, S.; Surmann-Schmitt, C.; von der Mark, K.; Stürzl, M.; Unglaub, F.; Wolf, M.B.; Leffler, M.; Beier, J.P.; Kneser, U.; et al. Gene expression analysis of ischaemia and reperfusion in human microsurgical free muscle tissue transfer. J. Cell. Mol. Med. 2011, 15, 983–993. [Google Scholar] [CrossRef]
  58. Wen, G.; Hong, M.; Li, B.; Liao, W.; Cheng, S.K.; Hu, B.; Calaf, G.M.; Lu, P.; Partridge, M.A.; Tong, J.; et al. Transforming growth factor-β-induced protein (TGFBI) suppresses mesothelioma progression through the Akt/mTOR pathway. Int. J. Oncol. 2011, 39, 1001–1009. [Google Scholar] [CrossRef] [PubMed]
  59. Li, Y.; Xu, Z.; Li, H.; Xiong, Y.; Zuo, B. Differential transcriptional analysis between red and white skeletal muscle of Chinese Meishan pigs. Int. J. Biol. Sci. 2010, 6, 350–360. [Google Scholar] [CrossRef]
  60. Nakamura, M.; Imaoka, M.; Sakai, K.; Kubo, T.; Imai, R.; Hida, M.; Tazaki, F.; Orui, J.; Inoue, T.; Takeda, M. Complement component C3 is associated with body composition parameters and sarcopenia in community-dwelling older adults: A cross-sectional study in Japan. BMC Geriatr. 2024, 24, 102. [Google Scholar] [CrossRef] [PubMed]
  61. Yang, Y.; Parsons, K.K.; Chi, L.; Malakauskas, S.M.; Le, T.H. Glutathione S-transferase-micro1 regulates vascular smooth muscle cell proliferation, migration, and oxidative stress. Hypertension 2009, 54, 1360–1368. [Google Scholar] [CrossRef] [PubMed]
  62. Huang, Y.C.; Lai, J.C.; Peng, P.H.; Wei, K.C.; Wu, K.J. Chromatin accessibility analysis identifies GSTM1 as a prognostic marker in human glioblastoma patients. Clin. Epigenetics 2021, 13, 201. [Google Scholar] [CrossRef]
  63. Hassink, R.J.; Pasumarthi, K.B.; Nakajima, H.; Rubart, M.; Soonpaa, M.H.; de la Rivière, A.B.; Doevendans, P.A.; Field, L.J. Cardiomyocyte cell cycle activation improves cardiac function after myocardial infarction. Cardiovasc. Res. 2008, 78, 18–25. [Google Scholar] [CrossRef]
  64. Zhu, W.; Zhao, M.; Mattapally, S.; Chen, S.; Zhang, J. CCND2 Overexpression Enhances the Regenerative Potency of Human Induced Pluripotent Stem Cell-Derived Cardiomyocytes: Remuscularization of Injured Ventricle. Circ. Res. 2018, 122, 88–96. [Google Scholar] [CrossRef]
  65. Chen, S.; He, T.; Zhong, Y.; Chen, M.; Yao, Q.; Chen, D.; Shao, Z.; Xiao, G. Roles of focal adhesion proteins in skeleton and diseases. Acta Pharm. Sin. B 2023, 13, 998–1013. [Google Scholar] [CrossRef]
  66. Narayanan, N.; Calve, S. Extracellular matrix at the muscle—Tendon interface: Functional roles, techniques to explore and implications for regenerative medicine. Connect. Tissue Res. 2021, 62, 53–71. [Google Scholar] [CrossRef]
  67. Cheng, N.; Xiong, Y.; Zhang, W.; Wu, X.; Sun, Z.; Zhang, L.; Wu, H.; Tang, Y.; Peng, Y. Astrocytes promote the proliferation of oligodendrocyte precursor cells through connexin 47-mediated LAMB2 secretion in exosomes. Mol. Biol. Rep. 2022, 49, 7263–7273. [Google Scholar] [CrossRef]
  68. Braghetta, P.; Ferrari, A.; Fabbro, C.; Bizzotto, D.; Volpin, D.; Bonaldo, P.; Bressan, G.M. An enhancer required for transcription of the Col6a1 gene in muscle connective tissue is induced by signals released from muscle cells. Exp. Cell Res. 2008, 314, 3508–3518. [Google Scholar] [CrossRef] [PubMed]
  69. Urciuolo, A.; Quarta, M.; Morbidoni, V.; Gattazzo, F.; Molon, S.; Grumati, P.; Montemurro, F.; Tedesco, F.S.; Blaauw, B.; Cossu, G.; et al. Collagen VI regulates satellite cell self-renewal and muscle regeneration. Nat. Commun. 2013, 4, 1964. [Google Scholar] [CrossRef] [PubMed]
  70. Stull, J.T.; Kamm, K.E.; Vandenboom, R. Myosin light chain kinase and the role of myosin light chain phosphorylation in skeletal muscle. Arch. Biochem. Biophys. 2011, 510, 120–128. [Google Scholar] [CrossRef]
  71. Temmerman, K.; Simon, B.; Wilmanns, M. Structural and functional diversity in the activity and regulation of DAPK-related protein kinases. FEBS J. 2013, 280, 5533–5550. [Google Scholar] [CrossRef]
  72. Lake, J.A.; Dekkers, J.C.M.; Abasht, B. Genetic basis and identification of candidate genes for wooden breast and white striping in commercial broiler chickens. Sci. Rep. 2021, 11, 6785. [Google Scholar] [CrossRef]
  73. Velleman, S.G.; Coy, C.S.; Abasht, B. Research Note: Chicken breast muscle satellite cell function: Effect of expression of CNN1 and PHRF1. Poult. Sci. 2024, 103, 103781. [Google Scholar] [CrossRef]
  74. Engeland, K. Cell cycle regulation: p53-p21-RB signaling. Cell Death Differ. 2022, 29, 946–960. [Google Scholar] [CrossRef]
  75. Dale, R.A. Catabolism of threonine in mammals by coupling of L-threonine 3-dehydrogenase with 2-amino-3-oxobutyrate-CoA ligase. Biochim. Biophys. Acta 1978, 544, 496–503. [Google Scholar] [CrossRef]
  76. Wang, J.; Alexander, P.; McKnight, S.L. Metabolic specialization of mouse embryonic stem cells. Cold Spring Harb. Symp. Quant. Biol. 2011, 76, 183–193. [Google Scholar] [CrossRef]
  77. Donato, V.; Bonora, M.; Simoneschi, D.; Sartini, D.; Kudo, Y.; Saraf, A.; Florens, L.; Washburn, M.P.; Stadtfeld, M.; Pinton, P.; et al. The TDH-GCN5L1-Fbxo15-KBP axis limits mitochondrial biogenesis in mouse embryonic stem cells. Nat. Cell Biol. 2017, 19, 341–351. [Google Scholar] [CrossRef] [PubMed]
  78. Elson, H.F.; Ingwall, J.S. The cell substratum modulates skeletal muscle differentiation. J. Supramol. Struct. 1980, 14, 313–328. [Google Scholar] [CrossRef]
  79. Hunt, L.C.; Gorman, C.; Kintakas, C.; McCulloch, D.R.; Mackie, E.J.; White, J.D. Hyaluronan synthesis and myogenesis: A requirement for hyaluronan synthesis during myogenic differentiation independent of pericellular matrix formation. J. Biol. Chem. 2013, 288, 13006–13021. [Google Scholar] [CrossRef] [PubMed]
  80. Parnigoni, A.; Caon, I.; Moretto, P.; Viola, M.; Karousou, E.; Passi, A.; Vigetti, D. The role of the multifaceted long non-coding RNAs: A nuclear-cytosolic interplay to regulate hyaluronan metabolism. Matrix Biol. Plus 2021, 11, 100060. [Google Scholar] [CrossRef] [PubMed]
  81. Calve, S.; Isaac, J.; Gumucio, J.P.; Mendias, C.L. Hyaluronic acid, HAS1, and HAS2 are significantly upregulated during muscle hypertrophy. Am. J. Physiol. Cell Physiol. 2012, 303, C577–C588. [Google Scholar] [CrossRef] [PubMed]
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Figure 1. MuSCs activity, proliferation, and cycle detection. (A) Goat skeletal muscle satellite cells cultured. (B) Identification of goat MuSCs by immunofluorescence. Red fluorescence indicates PAX7 immunostaining, and blue indicates the nucleus. (C) Cell viability of MuSCs treated with gradient concentrations of polybrene (* p < 0.05, ns p > 0.05). (D) Detection of lentiviral transfection efficiency with gradient concentrations for CaMK4 overexpression and knockdown. (E) Relative mRNA level of CaMK4 after overexpression and knockdown treatments (* p < 0.05, **** p < 0.0001). (F) Cell activity of MuSCs measured by CCK-8 assay at different time points after CaMK4 overexpression and knockdown (n = 3, *** p < 0.001, **** p < 0.0001, ns p > 0.05). (G) EdU assay detecting the proportion of proliferating MuSCs after CaMK4 overexpression and knockdown. (H) Proportion of EDU-positive cells after CaMK4 overexpression and knockdown (n = 3, *** p < 0.001). (I) Relative mRNA levels of proliferation marker genes after CaMK4 gene overexpression and knockdown (* p < 0.05, ** p < 0.01). (J) Cell cycle analysis by flow cytometry after CaMK4 overexpression and knockdown (n = 3, * p < 0.05, **** p < 0.0001).
Figure 1. MuSCs activity, proliferation, and cycle detection. (A) Goat skeletal muscle satellite cells cultured. (B) Identification of goat MuSCs by immunofluorescence. Red fluorescence indicates PAX7 immunostaining, and blue indicates the nucleus. (C) Cell viability of MuSCs treated with gradient concentrations of polybrene (* p < 0.05, ns p > 0.05). (D) Detection of lentiviral transfection efficiency with gradient concentrations for CaMK4 overexpression and knockdown. (E) Relative mRNA level of CaMK4 after overexpression and knockdown treatments (* p < 0.05, **** p < 0.0001). (F) Cell activity of MuSCs measured by CCK-8 assay at different time points after CaMK4 overexpression and knockdown (n = 3, *** p < 0.001, **** p < 0.0001, ns p > 0.05). (G) EdU assay detecting the proportion of proliferating MuSCs after CaMK4 overexpression and knockdown. (H) Proportion of EDU-positive cells after CaMK4 overexpression and knockdown (n = 3, *** p < 0.001). (I) Relative mRNA levels of proliferation marker genes after CaMK4 gene overexpression and knockdown (* p < 0.05, ** p < 0.01). (J) Cell cycle analysis by flow cytometry after CaMK4 overexpression and knockdown (n = 3, * p < 0.05, **** p < 0.0001).
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Figure 2. Research on the regulatory mechanisms of CaMK4 overexpression, knockdown transcriptomics, and proteomics. (A) Differentially expressed genes after CaMK4 overexpression. (B) KEGG pathway and GO term enrichment analysis of differentially expressed genes following CaMK4 overexpression. (C) Differentially expressed proteins after CaMK4 overexpression. (D) KEGG pathway and GO term enrichment analysis of differentially expressed proteins after CaMK4 overexpression. (E) Differentially expressed genes after CaMK4 knockdown. (F) KEGG pathway and GO term enrichment analysis of differentially expressed genes following CaMK4 knockdown. (G) Differentially expressed proteins after CaMK4 knockdown. (H) KEGG pathway and GO term enrichment analysis of differentially expressed proteins after CaMK4 knockdown.
Figure 2. Research on the regulatory mechanisms of CaMK4 overexpression, knockdown transcriptomics, and proteomics. (A) Differentially expressed genes after CaMK4 overexpression. (B) KEGG pathway and GO term enrichment analysis of differentially expressed genes following CaMK4 overexpression. (C) Differentially expressed proteins after CaMK4 overexpression. (D) KEGG pathway and GO term enrichment analysis of differentially expressed proteins after CaMK4 overexpression. (E) Differentially expressed genes after CaMK4 knockdown. (F) KEGG pathway and GO term enrichment analysis of differentially expressed genes following CaMK4 knockdown. (G) Differentially expressed proteins after CaMK4 knockdown. (H) KEGG pathway and GO term enrichment analysis of differentially expressed proteins after CaMK4 knockdown.
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MDPI and ACS Style

Cong, H.; Xu, L.; Liu, Y.; Wang, Z.; Ren, T.; Ruan, P.; Zhang, H.; Liu, C.; Han, Y.; Hu, P.; et al. Integrative Transcriptomic and Proteomic Analysis Reveals CaMK4-Mediated Regulation of Proliferation in Goat Skeletal Muscle Satellite Cells. Animals 2025, 15, 3083. https://doi.org/10.3390/ani15213083

AMA Style

Cong H, Xu L, Liu Y, Wang Z, Ren T, Ruan P, Zhang H, Liu C, Han Y, Hu P, et al. Integrative Transcriptomic and Proteomic Analysis Reveals CaMK4-Mediated Regulation of Proliferation in Goat Skeletal Muscle Satellite Cells. Animals. 2025; 15(21):3083. https://doi.org/10.3390/ani15213083

Chicago/Turabian Style

Cong, He, Lu Xu, Yaolong Liu, Zixuan Wang, Tao Ren, Pengcheng Ruan, Haoyuan Zhang, Chengli Liu, Yanguo Han, Pengfei Hu, and et al. 2025. "Integrative Transcriptomic and Proteomic Analysis Reveals CaMK4-Mediated Regulation of Proliferation in Goat Skeletal Muscle Satellite Cells" Animals 15, no. 21: 3083. https://doi.org/10.3390/ani15213083

APA Style

Cong, H., Xu, L., Liu, Y., Wang, Z., Ren, T., Ruan, P., Zhang, H., Liu, C., Han, Y., Hu, P., Zeng, Y., Ceccobelli, S., & E, G. (2025). Integrative Transcriptomic and Proteomic Analysis Reveals CaMK4-Mediated Regulation of Proliferation in Goat Skeletal Muscle Satellite Cells. Animals, 15(21), 3083. https://doi.org/10.3390/ani15213083

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