Exploring the Potential Mechanisms of Melilotus officinalis (L.) Pall. in Chronic Muscle Repair Patterns Using Single Cell Receptor-Ligand Marker Analysis and Molecular Dynamics Simulations.
Yisheng ChenZhiwen LuoJinrong LinBeijie QiYaying SunFangqi LiChenyang GuoWeiwei LinXueran KangXinyi HeQian WangShiyi ChenJiwu ChenPublished in: Disease markers (2022)
Information regarding the function of Melilotus officinalis (L.) Pall. in skeletal muscles is still unknown. In this study, we explored the possible regulatory targets of M. (L.) Pall. that affects the repair patterns in chronic muscle injury. We analyzed the potential target genes and chemical composition of M. (L.) Pall. and constructed a "drug-component-disease target genes" network analysis. Five active ingredients and 87 corresponding targets were obtained. Muscle-tendon junction (MTJ) cells were used to perform receptor-ligand marker analysis using the CellphoneDB algorithm. Targets of M. (L.) Pall. were screened further for the cellular ligand-receptor protein action on MTJs. Enrichment analysis suggests that those protein-associated ligand receptors may be associated with a range of intercellular signaling pathways. Molecular docking validation was then performed. Five proteins (CCL2, VEGFA, MMP2, MET, and EGFR) may be regulated by the active ingredient luteolin and scoparone. Finally, molecular dynamics simulations revealed that luteolin can stably target binding to MMP2. M. (L.) Pall. influences skeletal muscle repair patterns by affecting the fibroblast interactions in the muscle-tendon junctions through the active ingredients luteolin and scoparone.
Keyphrases
- molecular dynamics simulations
- molecular docking
- skeletal muscle
- single cell
- network analysis
- induced apoptosis
- binding protein
- signaling pathway
- small cell lung cancer
- insulin resistance
- genome wide
- tyrosine kinase
- wastewater treatment
- machine learning
- drug induced
- gene expression
- epidermal growth factor receptor
- rna seq
- cell cycle arrest
- healthcare
- cell proliferation
- metabolic syndrome
- liver injury
- transcription factor
- dna methylation
- health information
- rotator cuff
- amino acid
- human health
- protein protein
- single molecule
- cell death
- small molecule
- adipose tissue
- bioinformatics analysis
- social media
- essential oil
- genome wide analysis