Department of Chemical Sciences, Tata Institute of Fundamental Research, Homi Bhabha Road, Colaba, Mumbai 400005, India.
J Magn Reson. 2010 May;204(1):111-7. doi: 10.1016/j.jmr.2010.02.013. Epub 2010 Feb 20.
HNN has proven to be an extremely valuable experiment for rapid and unambiguous backbone (H(N), (15)N) assignment in ((13)C, (15)N) labeled proteins. However, low sensitivity of the experiment is often a limiting factor, especially when the transverse relaxation times (T(2)) are short. We show here that BEST modification Schanda et al. (2006) [2] increases the sensitivity per unit time by more than a factor of 2.0 and thus substantially increases the speed of data collection; good 3D data can be collected in 8-10h. Next, we present a simple method for amino-acid type identification based on simple 2D versions of the HNN experiment, labeled here as 2D-(HN)NH. Each of these experiments which produce anchor points for Gly, Ala, Ser/Thr residues, can be recorded in less than an hour. These enable rapid data acquisition, rapid analysis, and consequently rapid assignment of backbone (H(N), (15)N) resonances. The 2D-(HN)NH experiment does not involve aliphatic/aromatic protons and hence can be applied to deuterated protein samples as well, which is an additional advantage. The experiments have been demonstrated with human ubiquitin (76 aa) and acetic-acid denatured HIV-1 protease (99 aa), as representatives of folded and unfolded protein systems, respectively.
HNN 已被证明是一种非常有价值的实验方法,可用于快速且明确地对 ((13)C, (15)N) 标记蛋白质中的 backbone (H(N), (15)N) 进行分配。然而,该实验的灵敏度通常是一个限制因素,特别是当横向弛豫时间 (T(2)) 较短时。我们在此展示,Schanda 等人的 BEST 修饰 (2006) [2] 可使灵敏度在单位时间内提高 2.0 倍以上,从而大大提高数据采集速度;可以在 8-10 小时内收集到良好的 3D 数据。接下来,我们提出了一种基于 HNN 实验的简单 2D 版本的氨基酸类型鉴定方法,这里标记为 2D-(HN)NH。这些实验中的每一个都可以产生 Gly、Ala、Ser/Thr 残基的锚点,每个实验都可以在不到一个小时的时间内完成。这些方法能够实现快速的数据采集、快速的分析,从而快速地对 backbone (H(N), (15)N) 共振进行分配。2D-(HN)NH 实验不涉及脂肪族/芳香族质子,因此也可以应用于氘代蛋白质样品,这是另一个优点。该实验已经在人源泛素(76 个氨基酸)和醋酸变性的 HIV-1 蛋白酶(99 个氨基酸)上得到了验证,分别代表折叠和未折叠蛋白质体系。