Molecular Pharmacology Program, Sloan Kettering Institute, Memorial Sloan Kettering Cancer Center, New York 10065, USA.
Molecular Pharmacology Program, Sloan Kettering Institute, Memorial Sloan Kettering Cancer Center, New York 10065, USA; Physiology Biophysics and Systems Biology Program, Weill Cornell Medicine, New York 10065, USA.
J Proteomics. 2020 Sep 30;228:103921. doi: 10.1016/j.jprot.2020.103921. Epub 2020 Aug 3.
Characterization of MHC-bound peptides by mass spectrometry (MS) is an essential technique for immunologic studies. Many efforts have been made to quantify the number of MHC-presented ligands by MS and to define the limits of detection of a specific MHC ligand. However, these experiments are often complex and comparisons across different laboratories are challenging. Therefore, we compared and orthogonally validated quantitation of peptide:MHC complexes by radioimmunoassay and flow cytometry using TCR mimic antibodies in three model systems to establish a method to control the experimental input of peptide MHC:complexes for MS analysis. Following isolation of MHC-bound peptides we identified and quantified an MHC ligand of interest with high correlation to the initial input. We found that the diversity of the presented ligandome, as well as the peptide sequence itself affected the detection of the target peptide. Furthermore, results were applicable from these model systems to unmodified cell lines with a tight correlation between HLA-A02 complex input and the number of identified HLA-A02 ligands. Overall, this framework provides an easily accessible experimental setup that offers the opportunity to control the peptide:MHC input and in this way compare immunopeptidome experiments not only within but also between laboratories, independent of their experimental approach. SIGNIFICANCE: Although immunopeptidomics is an essential tool for the characterization of MHCbound peptides on the cell surface, there are no easily applicable established protocols available that allow comparison of immunopeptidome experiments across laboratories. Here, we demonstrate that controlling the peptide:MHC input for immunopurification and LC-MS/MS experiments by flow cytometry in pre-defined model systems allows the generation of qualitative and quantitative data that can easily be compared between investigators, independently of their methods for MHC ligand isolation for MS.
通过质谱(MS)对 MHC 结合肽进行表征是免疫研究的一项基本技术。已经做出了许多努力来通过 MS 定量 MHC 呈递的配体数量,并定义特定 MHC 配体的检测极限。然而,这些实验通常很复杂,并且不同实验室之间的比较具有挑战性。因此,我们比较并通过使用 TCR 模拟抗体在三个模型系统中正交验证了放射性免疫测定法和流式细胞术定量肽:MHC 复合物,以建立一种方法来控制用于 MS 分析的肽 MHC 复合物的实验输入。在分离 MHC 结合的肽之后,我们鉴定并定量了与初始输入具有高度相关性的感兴趣的 MHC 配体。我们发现,呈递的配体组的多样性以及肽序列本身会影响目标肽的检测。此外,这些结果可从这些模型系统应用于未经修饰的细胞系,HLA-A02 复合物输入与鉴定的 HLA-A02 配体数量之间存在紧密相关性。总体而言,该框架提供了一种易于访问的实验设置,提供了控制肽:MHC 输入的机会,并且以这种方式不仅可以在实验室内部,而且可以在实验室之间进行免疫肽组学实验的比较,而不受其实验方法的影响。意义:尽管免疫肽组学是表征细胞表面上 MHC 结合肽的重要工具,但目前尚无可应用的既定方案来允许跨实验室比较免疫肽组学实验。在这里,我们证明通过在预定义的模型系统中通过流式细胞术控制免疫纯化和 LC-MS/MS 实验的肽:MHC 输入,可以生成定性和定量数据,这些数据可以很容易地在研究人员之间进行比较,而与他们用于 MS 的 MHC 配体分离的方法无关。