Laura Cobos-Figueroa, Javier Robles-Parrado, Elisenda Alari-Pahissa, Begoña Galocha, Carmen Mir, Ana Pintor-Poveda, Eilon Barnea, Arie Admon, Pilar Lauzurica, Elena Lorente
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引用次数: 0
Abstract
The human major histocompatibility complex class I (HLA-I) gene HLA-B*27 is the main risk factor for the rheumatic disease ankylosing spondylitis (AS) through an unknown mechanism. However, in African populations, where B*27 is rare, the B*14:03 allotype is strongly associated with AS, while B*14:02, which only differs from B*14:03 at one residue (L156R), is not associated with the disease. Here, we have used large-scale mass spectrometry-based peptide sequencing to analyze the peptidomes of HLA-B*14:03, HLA-B*14:02, and HLA-B*27:05, obtaining more than 2000 peptide ligands for each molecule. Remarkably, we found 1011 ligands shared by the AS-associated HLA-B*27:05 and -B*14:03 alleles and not by the non-AS-associated B*14:02 allele. Surprisingly, although B*14:03 and B*27:05 differ by 15 amino acids in their peptide binding domain, they show a large overlap of their ligands (64 and 43% respectively), while B*14:03 and B*14:02, which differ by only one residue, show a lower degree of overlap (33-35%). B*14:03 peptide repertoire most resembles that of B*27:05 at the P1, P2, and P5 positions of the peptides, and differs most at the C-terminal position, where B*14:03 is more restrictive than B*27:05. We have modeled how the change at residue 156 of the two B*14 alleles could have a long-range indirect effect on residues P1, P2, and P5 of the peptide ligands, explaining the different amino acid distribution observed between the two B*14 subtypes at those positions. Most of the 1011 specific ligands of B*14:03 and B*27:05 presented R/K/A/G at P1, R at P2, and L/F at the C-terminal position. Of these 1,011 peptides, 10 have been previously identified as presented by the three HLA-B*27 subtypes most strongly associated with AS and are absent in non-associated subtypes, while four peptides from the HLA 169-181 region-previously implicated in the autoimmune pathogenesis of AS-were also identified, suggesting that differential peptide binding may influence disease development. In summary, our results show that the two AS-associated allotypes B*14:03 and B*27:05, but not the non-AS-associated allotype B*14:02, share very similar peptide repertoires and binding characteristics, supporting specific common peptide ligands of HLA-B*27:05 and B*14:03 as a mechanism to explain the development of ankylosing spondylitis.
人主要组织相容性复合体I类(HLA-I)基因HLA-B*27是风湿性疾病强直性脊柱炎(AS)的主要危险因素,其机制尚不清楚。然而,在B*27稀少的非洲人群中,B*14:03等位型与AS强烈相关,而B*14:02仅在一个残基(L156R)上与B*14:03不同,与该疾病无关。在这里,我们使用基于大规模质谱的肽段测序分析了HLA-B*14:03、HLA-B*14:02和HLA-B*27:05的肽段,为每个分子获得了2000多个肽配体。值得注意的是,我们发现与as相关的HLA-B*27:05和-B*14:03等位基因共有1011个配体,而非与as相关的B*14:02等位基因没有。令人惊讶的是,虽然B*14:03和B*27:05的肽结合区域相差15个氨基酸,但它们的配体重叠程度较大(分别为64%和43%),而B*14:03和B*14:02仅相差一个残基,重叠程度较低(33-35%)。B*14:03肽库在肽的P1, P2和P5位置与B*27:05最相似,而在c端位置差异最大,B*14:03比B*27:05更具限制性。我们建立了两个B*14等位基因残基156的变化如何对肽配体残基P1、P2和P5产生长期间接影响的模型,解释了在这些位置观察到的两个B*14亚型之间不同的氨基酸分布。B*14:03和B*27:05的1011个特异配体在P1、P2和c端位置均呈现R/K/A/G和L/F。在这1011个多肽中,有10个先前被鉴定为与as最密切相关的3种HLA- b *27亚型,而在非相关亚型中不存在,而来自HLA 169-181区域的4个多肽先前也被鉴定为与as的自身免疫发病机制有关,这表明差异肽结合可能影响疾病的发展。总之,我们的研究结果表明,两种as相关的同种异体B*14:03和B*27:05,而非as相关的同种异体B*14:02,具有非常相似的肽库和结合特征,支持HLA-B*27:05和B*14:03的特定共同肽配体作为解释强直性脊柱炎发展的机制。
期刊介绍:
The mission of MCP is to foster the development and applications of proteomics in both basic and translational research. MCP will publish manuscripts that report significant new biological or clinical discoveries underpinned by proteomic observations across all kingdoms of life. Manuscripts must define the biological roles played by the proteins investigated or their mechanisms of action.
The journal also emphasizes articles that describe innovative new computational methods and technological advancements that will enable future discoveries. Manuscripts describing such approaches do not have to include a solution to a biological problem, but must demonstrate that the technology works as described, is reproducible and is appropriate to uncover yet unknown protein/proteome function or properties using relevant model systems or publicly available data.
Scope:
-Fundamental studies in biology, including integrative "omics" studies, that provide mechanistic insights
-Novel experimental and computational technologies
-Proteogenomic data integration and analysis that enable greater understanding of physiology and disease processes
-Pathway and network analyses of signaling that focus on the roles of post-translational modifications
-Studies of proteome dynamics and quality controls, and their roles in disease
-Studies of evolutionary processes effecting proteome dynamics, quality and regulation
-Chemical proteomics, including mechanisms of drug action
-Proteomics of the immune system and antigen presentation/recognition
-Microbiome proteomics, host-microbe and host-pathogen interactions, and their roles in health and disease
-Clinical and translational studies of human diseases
-Metabolomics to understand functional connections between genes, proteins and phenotypes