Shen Yue, Parks Jerry M, Smith Jeremy C
UT-ORNL Graduate School of Genome Science and Technology, University of Tennessee, Knoxville, TN.
Biosciences Division, Oak Ridge National Laboratory, Oak Ridge, TN; and.
J Immunol. 2023 Jan 1;210(1):103-114. doi: 10.4049/jimmunol.2200685.
HLA class I proteins, a critical component in adaptive immunity, bind and present intracellular Ags to CD8+ T cells. The extreme polymorphism of HLA genes and associated peptide binding specificities leads to challenges in various endeavors, including neoantigen vaccine development, disease association studies, and HLA typing. Supertype classification, defined by clustering functionally similar HLA alleles, has proven helpful in reducing the complexity of distinguishing alleles. However, determining supertypes via experiments is impractical, and current in silico classification methods exhibit limitations in stability and functional relevance. In this study, by incorporating three-dimensional structures we present a method for classifying HLA class I molecules with improved breadth, accuracy, stability, and flexibility. Critical for these advances is our finding that structural similarity highly correlates with peptide binding specificity. The new classification should be broadly useful in peptide-based vaccine development and HLA-disease association studies.
HLA I类蛋白是适应性免疫的关键组成部分,它能结合细胞内抗原并将其呈递给CD8+ T细胞。HLA基因的极端多态性以及相关的肽结合特异性给包括新抗原疫苗开发、疾病关联研究和HLA分型在内的各种工作带来了挑战。通过对功能相似的HLA等位基因进行聚类来定义的超型分类,已被证明有助于降低区分等位基因的复杂性。然而,通过实验确定超型是不切实际的,并且当前的计算机分类方法在稳定性和功能相关性方面存在局限性。在本研究中,通过纳入三维结构,我们提出了一种对HLA I类分子进行分类的方法,该方法在广度、准确性、稳定性和灵活性方面都有所提高。这些进展的关键在于我们发现结构相似性与肽结合特异性高度相关。这种新的分类在基于肽的疫苗开发和HLA-疾病关联研究中应该具有广泛的用途。