Impact of Static Myoblast Loading on Protein Secretion Linked to Tenocyte Migration.

IF 3.8 2区 生物学 Q1 BIOCHEMICAL RESEARCH METHODS
Junhong Li, Xin Zhou, Jialin Chen, Shaochun Zhu, Andre Mateus, Pernilla Eliasson, Paul J Kingham, Ludvig J Backman
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Abstract

Exercise has been shown to promote wound healing, including tendon repair. Myokines released from the exercised muscles are believed to play a significant role in this process. In our previous study, we used an in vitro coculture and loading model to demonstrate that 2% static loading of myoblasts increased the migration and proliferation of cocultured tenocytes─two crucial aspects of wound healing. IGF-1, released from myoblasts in response to 2% static loading, was identified as a contributor to the increased proliferation. However, the factors responsible for the enhanced migration remained unknown. In the current study, we subjected myoblasts in single culture conditions to 2, 5, and 10% static loading and performed proteomic analysis of the cell supernatants. Gene Ontology (GO) analysis revealed that 2% static loading induced the secretion of NBL1, C5, and EFEMP1, which is associated with cell migration and motility. Further investigation by adding exogenous recombinant proteins to human tenocytes showed that NBL1 increased tenocyte migration but not proliferation. This effect was not observed with treatments using C5 and EFEMP1.

静态肌母细胞负载对与小细胞迁移相关的蛋白质分泌的影响。
运动已被证明可以促进伤口愈合,包括肌腱修复。从运动肌肉中释放的肌因子被认为在这一过程中起着重要作用。在我们之前的研究中,我们使用体外共培养和负载模型来证明2%的肌母细胞静态负载增加了共培养的肌腱细胞的迁移和增殖,这是伤口愈合的两个关键方面。IGF-1在2%静态负荷下从成肌细胞释放,被认为是增殖增加的一个因素。然而,造成人口迁移增加的因素仍然未知。在目前的研究中,我们在单一培养条件下对成肌细胞进行2、5和10%的静态负载,并对细胞上清进行蛋白质组学分析。基因本体(Gene Ontology, GO)分析显示,2%的静态负载诱导NBL1、C5和EFEMP1的分泌,与细胞迁移和运动有关。通过将外源性重组蛋白添加到人腱细胞中进一步研究表明,NBL1增加了腱细胞的迁移,但没有增加增殖。使用C5和EFEMP1治疗没有观察到这种效果。
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来源期刊
Journal of Proteome Research
Journal of Proteome Research 生物-生化研究方法
CiteScore
9.00
自引率
4.50%
发文量
251
审稿时长
3 months
期刊介绍: Journal of Proteome Research publishes content encompassing all aspects of global protein analysis and function, including the dynamic aspects of genomics, spatio-temporal proteomics, metabonomics and metabolomics, clinical and agricultural proteomics, as well as advances in methodology including bioinformatics. The theme and emphasis is on a multidisciplinary approach to the life sciences through the synergy between the different types of "omics".
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