Department of Chemistry and Biochemistry, Texas Tech University, Lubbock, TX, 79409-1061, USA.
Division of Chemistry and Biochemistry, Texas Woman's University, Denton, TX, 76204, USA.
Anal Bioanal Chem. 2024 Jul;416(18):4071-4082. doi: 10.1007/s00216-024-05352-3. Epub 2024 Jul 3.
The study of glycoproteomics presents a set of unique challenges, primarily due to the low abundance of glycopeptides and their intricate heterogeneity, which is specific to each site. Glycoproteins play a crucial role in numerous biological functions, including cell signaling, adhesion, and intercellular communication, and are increasingly recognized as vital markers in the diagnosis and study of various diseases. Consequently, a quantitative approach to glycopeptide research is essential. One effective strategy to address this need is the use of multiplex glycopeptide labeling. By harnessing the synergies of N metabolic labeling via the isotopic detection of amino sugars with glutamine (IDAWG) technique for glycan parts and tandem mass tag (TMT)pro labeling for peptide backbones, we have developed a method that allows for the accurate quantification and comparison of multiple samples simultaneously. The adoption of the liquid chromatography-synchronous precursor selection (LC-SPS-MS3) technique minimizes fragmentation interference, enhancing data reliability, as shown by a 97% TMT labeling efficiency. This method allows for detailed, high-throughput analysis of 32 diverse samples from 231BR cell lines, using both N and N glycopeptides at a 1:1 ratio. A key component of our methodology was the precise correction for isotope and TMTpro distortions, significantly improving quantification accuracy to less than 5% distortion. This breakthrough enhances the efficiency and accuracy of glycoproteomic studies, increasing our understanding of glycoproteins in health and disease. Its applicability to various cancer cell types sets a new standard in quantitative glycoproteomics, enabling deeper investigation into glycopeptide profiles.
糖蛋白质组学研究提出了一组独特的挑战,主要是由于糖肽的低丰度及其每个位点特有的复杂异质性。糖蛋白在许多生物功能中起着至关重要的作用,包括细胞信号转导、黏附和细胞间通讯,并且越来越被认为是各种疾病诊断和研究的重要标志物。因此,对糖肽进行定量研究是至关重要的。一种有效的策略是使用多重糖肽标记。通过利用 N 代谢标记通过同位素检测氨基糖与谷氨酰胺(IDAWG)技术进行聚糖部分和串联质量标签(TMT)pro 标记用于肽骨干,我们开发了一种方法,可以同时准确地定量和比较多个样本。采用液相色谱-同步前体选择(LC-SPS-MS3)技术最小化了片段干扰,提高了数据可靠性,TMT 标记效率达到 97%。该方法允许对 231BR 细胞系的 32 个不同样本进行详细、高通量的分析,同时使用 N 和 N 糖肽以 1:1 的比例进行分析。我们方法的一个关键组成部分是对同位素和 TMTpro 扭曲的精确校正,将定量准确性提高到小于 5%的扭曲。这一突破提高了糖蛋白质组学研究的效率和准确性,增加了我们对健康和疾病中糖蛋白的理解。它在各种癌细胞类型中的适用性为定量糖蛋白质组学设定了新的标准,使人们能够更深入地研究糖肽谱。