Department of Chemistry and Biochemistry, University of California, Los Angeles, Los Angeles, California, 90095.
UCLA-DOE Institute of Genomics and Proteomics, University of California, Los Angeles, Los Angeles, California, 90095.
Protein Sci. 2019 Aug;28(8):1513-1523. doi: 10.1002/pro.3662. Epub 2019 Jul 3.
Iron is a versatile metal cofactor that is used in a wide range of essential cellular processes. During infections, many bacterial pathogens acquire iron from human hemoglobin (Hb), which contains the majority of the body's total iron content in the form of heme (iron protoporphyrin IX). Clinically important Gram-positive bacterial pathogens scavenge heme using an array of secreted and cell-wall-associated receptors that contain NEAr-iron Transporter (NEAT) domains. Experimentally defining the Hb binding properties of NEAT domains has been challenging, limiting our understanding of their function in heme uptake. Here we show that solution-state NMR spectroscopy is a powerful tool to define the Hb binding properties of NEAT domains. The utility of this method is demonstrated using the NEAT domains from Bacillus anthracis and Listeria monocytogenes. Our results are compatible with the existence of at least two types of NEAT domains that are capable of interacting with either Hb or heme. These binding properties can be predicted from their primary sequences, with Hb- and heme-binding NEAT domains being distinguished by the presence of (F/Y)YH(Y/F) and S/YXXXY motifs, respectively. The results of this work should enable the functions of a wide range of NEAT domain containing proteins in pathogenic bacteria to be reliably predicted.
铁是一种用途广泛的金属辅因子,用于许多重要的细胞过程。在感染过程中,许多细菌病原体从人类血红蛋白(Hb)中获取铁,Hb 以血红素(铁原卟啉 IX)的形式包含体内总铁含量的大部分。临床上重要的革兰氏阳性细菌病原体使用一系列分泌和细胞壁相关的受体来掠夺血红素,这些受体包含近铁转运蛋白(NEAT)结构域。实验上定义 NEAT 结构域与 Hb 的结合特性具有挑战性,限制了我们对其在血红素摄取中的功能的理解。在这里,我们表明溶液态 NMR 光谱是定义 NEAT 结构域与 Hb 结合特性的有力工具。该方法的实用性通过炭疽杆菌和单核细胞增生李斯特菌的 NEAT 结构域得到了证明。我们的结果与至少两种类型的 NEAT 结构域能够与 Hb 或血红素相互作用的观点是一致的。这些结合特性可以从它们的一级序列中预测出来,与 Hb 结合的和与血红素结合的 NEAT 结构域分别由(F/Y)YH(Y/F)和 S/YXXXY 基序来区分。这项工作的结果应该能够可靠地预测致病性细菌中广泛存在的含 NEAT 结构域的蛋白质的功能。