Bortoluzzi Stefania, Scannapieco Paolo, Cestaro Alessandro, Danieli Gian Antonio, Schiaffino Stefano
Department of Biology, University of Padova, Italy.
Proteins. 2006 Mar 15;62(3):776-92. doi: 10.1002/prot.20803.
In multicellular organisms, secreted proteins play pivotal regulatory roles in intercellular communication. Proteins secreted by skeletal muscle can act locally on muscle cells through autocrine/paracrine loops and on surrounding tissues such as muscle blood vessels, or they can be released into the blood stream, thus producing systemic effects. By a computational approach, we have screened 6255 products of genes expressed in normal human skeletal muscle. Putatively secreted proteins were identified by sequential steps of sieving, through prediction of signal peptide, recognition of transmembrane regions, and analysis of protein annotation. The resulting putative skeletal muscle secretome consists of 319 proteins, including 78 still uncharacterized proteins. This is the first human skeletal muscle secretome produced by computational analysis. Knowledge of proteins secreted by skeletal muscle could stimulate development of novel treatments for different diseases, including muscle atrophy and dystrophy. In addition, better knowledge of the secretion process in skeletal muscle can be useful for future gene therapy approaches.
在多细胞生物中，分泌蛋白在细胞间通讯中发挥着关键的调节作用。骨骼肌分泌的蛋白质可通过自分泌/旁分泌环在局部作用于肌肉细胞，并作用于周围组织，如肌肉血管，或者它们可以释放到血流中，从而产生全身效应。通过计算方法，我们筛选了6255个在正常人类骨骼肌中表达的基因产物。通过连续的筛选步骤，即预测信号肽、识别跨膜区域和分析蛋白质注释，鉴定出了可能分泌的蛋白质。由此产生的推定骨骼肌分泌蛋白组由319种蛋白质组成，其中包括78种尚未鉴定的蛋白质。这是通过计算分析产生的首个人类骨骼肌分泌蛋白组。了解骨骼肌分泌的蛋白质可能会促进针对不同疾病（包括肌肉萎缩和营养不良）的新疗法的开发。此外，更好地了解骨骼肌中的分泌过程对于未来的基因治疗方法可能会有所帮助。
