Tehver Riina, Thirumalai D
Biophysics Program, Institute for Physical Science and Technology, University of Maryland, College Park, MD 20742, USA.
J Mol Biol. 2008 Apr 4;377(4):1279-95. doi: 10.1016/j.jmb.2008.01.059. Epub 2008 Jan 31.
The bacterial chaperonin GroEL and the co-chaperonin GroES assist in the folding of a number of structurally unrelated substrate proteins (SPs). In the absence of chaperonins, SP folds by the kinetic partitioning mechanism (KPM), according to which a fraction of unfolded molecules reaches the native state directly, while the remaining fraction gets trapped in a potentially aggregation-prone misfolded state. During the catalytic reaction cycle, GroEL undergoes a series of allosteric transitions (T<-->R-->R"-->T) triggered by SP capture, ATP binding and hydrolysis, and GroES binding. We developed a general kinetic model that takes into account the coupling between the rates of the allosteric transitions and the folding and aggregation of the SP. Our model, in which the GroEL allosteric rates and SP-dependent folding and aggregation rates are independently varied without prior assumption, quantitatively fits the GroEL concentration-dependent data on the yield of native ribulose bisphosphate carboxylase/oxygenase (Rubisco) as a function of time. The extracted kinetic parameters for the GroEL reaction cycle are consistent with the available values from independent experiments. In addition, we also obtained physically reasonable parameters for the kinetic steps in the reaction cycle that are difficult to measure. If experimental values for GroEL allosteric rates are used, the time-dependent changes in native-state yield at eight GroEL concentrations can be quantitatively fit using only three SP-dependent parameters. The model predicts that the differences in the efficiencies (as measured by yields of the native state) of GroEL, single-ring mutant (SR1), and variants of SR1, in the rescue of mitochondrial malate dehydrogenase, citrate synthase, and Rubisco, are related to the large variations in the allosteric transition rates. We also show that GroEL/S mutants that efficiently fold one SP at the expense of all others are due to a decrease in the rate of a key step in the reaction cycle, which implies that wild-type GroEL has evolved as a compromise between generality and specificity. We predict that, under maximum loading conditions and saturating ATP concentration, the efficiency of GroEL (using parameters for Rubisco) depends predominantly on the rate of R-->R" transition, while the equilibrium constant of the T<-->R has a small effect only. Both under sub- and superstoichiometric GroEL concentrations, enhanced efficiency is achieved by rapid turnover of the reaction cycle, which is in accord with the predictions of the iterative annealing mechanism. The effects are most dramatic at substoichiometric conditions (most relevant for in vivo situations) when SP aggregation can outcompete capture of SP by chaperonins.
细菌伴侣蛋白GroEL和共伴侣蛋白GroES协助多种结构不相关的底物蛋白(SPs)进行折叠。在没有伴侣蛋白的情况下,SP通过动力学分配机制(KPM)进行折叠,根据该机制,一部分未折叠分子直接达到天然状态,而其余部分则被困在可能易于聚集的错误折叠状态。在催化反应循环中,GroEL会经历一系列由SP捕获、ATP结合与水解以及GroES结合引发的变构转变(T<-->R-->R"-->T)。我们开发了一个通用动力学模型,该模型考虑了变构转变速率与SP折叠和聚集之间的耦合。在我们的模型中,GroEL变构速率以及与SP相关的折叠和聚集速率可独立变化而无需事先假设,该模型定量拟合了天然核酮糖二磷酸羧化酶/加氧酶(Rubisco)产量随时间变化的、与GroEL浓度相关的数据。从GroEL反应循环中提取的动力学参数与独立实验得到的可用值一致。此外,我们还获得了反应循环中难以测量的动力学步骤的合理物理参数。如果使用GroEL变构速率的实验值,仅用三个与SP相关参数就可以定量拟合八个GroEL浓度下天然状态产量随时间的变化。该模型预测,GroEL、单环突变体(SR1)以及SR1变体在挽救线粒体苹果酸脱氢酶、柠檬酸合酶和Rubisco方面的效率差异(以天然状态产量衡量)与变构转变速率的巨大变化有关。我们还表明,以牺牲其他所有SP为代价而高效折叠一种SP的GroEL/S突变体,是由于反应循环中一个关键步骤的速率降低,这意味着野生型GroEL是在通用性和特异性之间达成了一种平衡而进化而来的。我们预测,在最大负载条件和饱和ATP浓度下,GroEL(使用Rubisco的参数)的效率主要取决于R-->R"转变的速率,而T<-->R的平衡常数仅有很小的影响。在亚化学计量和超化学计量GroEL浓度下,通过反应循环的快速周转都能提高效率,这与迭代退火机制的预测相符。当SP聚集能够超过伴侣蛋白对SP的捕获时,这些效应在亚化学计量条件下(与体内情况最相关)最为显著。