Institute of Translational Proteomics, Biochemical/Pharmacological Centre, Philipps University, Marburg, Germany; Core Facility Translational Proteomics, Biochemical/Pharmacological Centre, Philipps University, Marburg, Germany.
Institute of Pharmacology, Biochemical/Pharmacological Centre, Philipps University, Marburg, Germany.
Mol Cell Proteomics. 2024 Sep;23(9):100830. doi: 10.1016/j.mcpro.2024.100830. Epub 2024 Aug 13.
The study of the cellular secretome using proteomic techniques continues to capture the attention of the research community across a broad range of topics in biomedical research. Due to their untargeted nature, independence from the model system used, historically superior depth of analysis, as well as comparative affordability, mass spectrometry-based approaches traditionally dominate such analyses. More recently, however, affinity-based proteomic assays have massively gained in analytical depth, which together with their high sensitivity, dynamic range coverage as well as high throughput capabilities render them exquisitely suited to secretome analysis. In this review, we revisit the analytical challenges implied by secretomics and provide an overview of affinity-based proteomic platforms currently available for such analyses, using the study of the tumor secretome as an example for basic and translational research.
使用蛋白质组学技术研究细胞分泌组继续吸引着生物医学研究领域内广泛课题的研究人员的关注。由于其非靶向性、与所使用的模型系统无关、历史上更优越的分析深度以及相对的经济实惠性，基于质谱的方法传统上主导着此类分析。然而，最近，基于亲和性的蛋白质组学分析在分析深度上取得了巨大进展，其高灵敏度、动态范围覆盖以及高通量能力使其非常适合于分泌组分析。在这篇综述中，我们重新审视了分泌组学所涉及的分析挑战，并概述了目前可用于此类分析的基于亲和性的蛋白质组学平台，以肿瘤分泌组的研究为例，探讨了基础研究和转化研究。
