Inhibitory and stimulatory micropeptides preferentially bind to different conformations of the cardiac calcium pump

Journal of Biological Chemistry(2022)

引用 10|浏览7
暂无评分
摘要
The ATP-dependent ion pump sarco/endoplasmic reticulum Ca-ATPase (SERCA) sequesters Ca in the endoplasmic reticulum to establish a reservoir for cell signaling. Because of its central importance in physiology, the activity of this transporter is tightly controlled via direct interactions with tissue-specific regulatory micropeptides that tune SERCA function to match changing physiological conditions. In the heart, the micropeptide phospholamban (PLB) inhibits SERCA, while dwarf open reading frame (DWORF) stimulates SERCA. These competing interactions determine cardiac performance by modulating the amplitude of Ca signals that drive the contraction/relaxation cycle. We hypothesized that the functions of these peptides may relate to their reciprocal preferences for SERCA binding; SERCA binds PLB more avidly at low cytoplasmic [Ca] but binds DWORF better when [Ca] is high. In the present study, we demonstrated this opposing Ca sensitivity is due to preferential binding of DWORF and PLB to different intermediate states that SERCA samples during the Ca transport cycle. We show PLB binds best to the SERCA E1-ATP state, which prevails at low [Ca]. In contrast, DWORF binds most avidly to E1P and E2P states that are more populated when Ca is elevated. Moreover, FRET microscopy revealed dynamic shifts in SERCA-micropeptide binding equilibria during cellular Ca elevations. A computational model showed that DWORF exaggerates changes in PLB-SERCA binding during the cardiac cycle. These results suggest a mechanistic basis for inhibitory versus stimulatory micropeptide function, as well as a new role for DWORF as a modulator of dynamic oscillations of PLB-SERCA regulatory interactions.
更多
查看译文
关键词
binding kinetics,Bowditch effect,calcium signaling,calcium transporter,conformational selection,force–frequency relationship,membrane protein–protein interactions,micropeptides,physiological model,transport ATPase
AI 理解论文
溯源树
样例
生成溯源树,研究论文发展脉络
Chat Paper
正在生成论文摘要