Computational reconstruction of the human skeletal muscle secretome
Computational reconstruction of the human skeletal muscle secretome
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DOI：
10.1002/prot.20803
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发表时间：
2006-02-15
影响因子：
2.9
通讯作者：
Schiaffino, S
中科院分区：
文献类型：
--
作者：
Bortoluzzi, S;Scannapieco, P;Schiaffino, S
在多细胞生物中，分泌的。蛋白质在细胞间通讯中起关键的调节作用。骨骼肌分泌的蛋白质可以通过自分泌/旁分泌环局部作用于肌细胞和周围组织（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个正常人骨骼肌中表达的基因产物。通过筛选、信号肽预测、跨膜区识别和蛋白质注释分析等步骤，对脓毒症分泌蛋白进行鉴定。由此产生的推定骨骼肌分泌组由319种蛋白质组成，包括78种尚未表征的蛋白质。这是第一个通过计算分析产生的人类骨骼肌分泌蛋白。了解骨骼肌分泌的蛋白质可以刺激不同疾病的新疗法的发展，包括肌肉萎缩和营养不良。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是有用的。
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.