利用Fe3O4@PDA@MOF-IDA和mM-TiO2@Cys富集及HPLC-MS蛋白质组学分析鉴定糖蛋白作为鼻咽癌候选生物标志物
Identification of glycoproteins as candidate biomarkers for nasopharyngeal carcinoma using Fe3O4@PDA@MOF-IDA and mM-TiO2@Cys enrichment and HPLC-MS proteomic analysis.
文献信息
| PMID | 42823934 |
|---|---|
| 原文 | 在 PubMed 查看原文 ↗ |
| 发表日期 | 2026 |
| 作者 | Linyan Tan |
| 作者单位 | Shanghai Key Laboratory of Functional Materials Chemistry, School of Chemistry and Molecular Engineering, East China University of Science and Technology, Shanghai, 200237, People's Republic of China. minbolan@ecust.edu.cn. |
| 期刊 | Analytical methods : advancing methods and applications |
| SCI 分区 | Q2 |
| IF | 3 |
| 研究类型 | 基础研究 · 基础／转化 |
| 所属专科 | 鼻咽癌 |
中文摘要
背景： 蛋白质生物标志物对疾病的早期诊断具有重要意义。然而，由于糖蛋白天然丰度低以及干扰物质的存在，在基于质谱的蛋白质组学中发现和验证新型生物标志物仍然具有挑战性。高效的糖肽富集策略能够从复杂生物样本中鉴定糖蛋白，从而为生物标志物的发现奠定基础。
方法： 本研究提出了简明的预处理方法和两类相关的数据处理方法，用于鉴定潜在的蛋白质生物标志物，利用通过不同材料设计策略获得的具有不同富集特异性的纳米材料进行糖肽富集。作为实施该方法的基础，合成了微孔结构纳米材料Fe3O4@PDA@MOF-IDA和介孔结构纳米材料mM-TiO2@Cys，以获取不同取向的全面蛋白质信息。
结果： 所合成的纳米材料均表现出优异的富集性能，包括高富集容量、显著的选择性和出色的空间限域能力。将获得的原始数据使用两个软件平台进行数据库搜索后，获得了相关蛋白质信息。通过分别应用两种数据处理方法分析来自两个软件平台的搜索结果，成功鉴定出2种糖蛋白作为鼻咽癌的新型潜在质量表达蛋白。
结论： 本研究提出的简明预处理方法和两类相关数据处理方法，结合具有不同富集特异性的纳米材料进行糖肽富集，能够有效鉴定鼻咽癌的潜在蛋白质生物标志物。
英文摘要
Protein biomarkers have great significance for the early diagnosis of diseases. However, the discovery and validation of novel biomarkers in mass spectrometry-based proteomics remain challenging due to the inherently low abundance of glycoproteins and the presence of interfering substances. Efficient glycopeptide enrichment strategies enable the identification of glycoproteins from complex biological samples, thereby laying the foundation for biomarker discovery. This research proposed concise pre-treatment and two types of associated data processing methods for identifying potential protein biomarkers, leveraging glycopeptide enrichment using nanomaterials with different enrichment specificities obtained through diverse material design strategies. As the foundation for implementing this method, the microporous structured nanomaterial Fe3O4@PDA@MOF-IDA and the mesoporous structured nanomaterial mM-TiO2@Cys are synthesized to acquire comprehensive protein information with varying orientation. The synthesized nanomaterials both demonstrate excellent enriching performances, including a high enrichment capacity, a spectacular selectivity, and an excellent spatial confinement ability. After the acquired raw data were subjected to database searches using two software platforms, relevant protein information was obtained. By applying two data processing methods to analyze the search results from the two software platforms, respectively, 2 glycoproteins were successfully identified as novel potential quality-expressed proteins for nasopharyngeal carcinoma.