Characterization and identification of the inhibitory domain of GDF-8 propeptide

蛋白质前体 氨基酸 生物化学 糖基化 融合蛋白 化学 抑制性突触后电位 肽序列 生物 重组DNA 基因 神经科学
作者
Man‐Shiow Jiang,Lifang Liang,Shusheng Wang,Tamara Ratovitski,James Holmstrom,Christopher Barker,Ronald L. Stotish
出处
期刊:Biochemical and Biophysical Research Communications [Elsevier BV]
卷期号:315 (3): 525-531 被引量:111
标识
DOI:10.1016/j.bbrc.2004.01.085
摘要

GDF-8 is a negative regulator of skeletal muscle mass. The mechanisms which regulate the biological activity of GDF-8 have not yet been elucidated. Analogous to the TGF-beta system, GDF-8 propeptide binds to and inhibits the activity of GDF-8. In these studies, we define the critical domain of the GDF-8 propeptide necessary for inhibitory activity. Two molecules of GDF-8 propeptide monomer inhibit the biological activity of one molecule of GDF-8 homodimer. Although the propeptide contains N-linked glycosylation when synthesized in mammalian cells, this glycosylation is not necessary for the inhibition of GDF-8. Taking advantage of the bacterial expression system, we express and purify GDF-8 propeptide which retains full inhibitory activity. To define the functional regions of the propeptide, we express a series of truncated GST-propeptide fusion proteins and examined their inhibitory activity. We observe that fusion proteins containing the C-terminal region (amino acid residues 99-266) are very stable, but do not exhibit inhibitory activity; while fusion proteins containing the N-terminal region (amino acid residues 42-115) are labile but contain essential inhibitory activity. The data suggest that the C-terminal region may play a role in the stability of the GDF-8 propeptide and that the inhibitory domain is located in the region between amino acids 42 and 115.
最长约 10秒,即可获得该文献文件

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
cc发布了新的文献求助10
1秒前
缓慢的不乐完成签到,获得积分10
2秒前
华仔应助11采纳,获得10
2秒前
3秒前
bkagyin应助yang采纳,获得10
4秒前
王十二完成签到 ,获得积分10
4秒前
xiang完成签到,获得积分10
5秒前
zxq123完成签到,获得积分10
6秒前
godblessyou发布了新的文献求助10
8秒前
8秒前
李晨源完成签到,获得积分10
11秒前
鹤川完成签到 ,获得积分10
11秒前
wang发布了新的文献求助30
12秒前
12秒前
贪玩的秋柔应助zhangwenkang采纳,获得10
12秒前
贪玩的秋柔应助zhangwenkang采纳,获得10
12秒前
怕黑夏天发布了新的文献求助10
15秒前
cc发布了新的文献求助10
16秒前
李小梅完成签到,获得积分10
16秒前
orixero应助娃哈哈采纳,获得10
17秒前
17秒前
ccc发布了新的文献求助10
17秒前
17秒前
18秒前
19秒前
19秒前
一只找论文的小云朵完成签到,获得积分10
19秒前
19秒前
ybh发布了新的文献求助10
20秒前
云那边的山完成签到,获得积分10
20秒前
ZOE发布了新的文献求助50
21秒前
divine_2025发布了新的文献求助10
22秒前
小马甲应助小宁采纳,获得10
22秒前
devin发布了新的文献求助10
23秒前
香蕉觅云应助godblessyou采纳,获得10
24秒前
小蘑菇应助LX采纳,获得10
24秒前
11发布了新的文献求助10
24秒前
24秒前
24秒前
科研通AI2S应助cc采纳,获得10
25秒前
高分求助中
Overcoming Stigma and Bias in Obesity Management 1200
Signals, Systems, and Signal Processing 610
Software that combines deep learning,3D reconstruction and CFD to analyze the state of carotid arteries from ultrasound imaging 500
Bounds for Statistical Estimation in Semiparametric Models 500
Forced degradation and stability indicating LC method for Letrozole: A stress testing guide 500
Ideology and Meaning-Making under the Putin Regime 450
Adhesion Science: Principles & Practice 400
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 工程类 有机化学 化学工程 生物化学 计算机科学 物理 内科学 复合材料 催化作用 物理化学 光电子学 电极 细胞生物学 基因 无机化学
热门帖子
关注 科研通微信公众号,转发送积分 6493201
求助须知:如何正确求助?哪些是违规求助? 8290657
关于积分的说明 17691570
捐赠科研通 5585361
什么是DOI,文献DOI怎么找? 2915586
邀请新用户注册赠送积分活动 1892651
关于科研通互助平台的介绍 1751038