Li Yongshu, Tam Winnie Wailing, Yu Yuanyuan, Zhuo Zhenjian, Xue Zhichao, Tsang Chiman, Qiao Xiaoting, Wang Xiaokang, Wang Weijing, Li Yongyi, Tu Yanyang, Gao Yunhua
Center for Advanced Measurement Science, National Institute of Metrology, Beijing, China.
Shenzhen Institute for Technology Innovation, National Institute of Metrology, Shenzhen, China.
Biomark Res. 2023 Jul 19;11(1):70. doi: 10.1186/s40364-023-00510-8.
Biomarkers are detectable molecules that can reflect specific physiological states of cells, organs, and organisms and therefore be regarded as indicators for specific diseases. And the discovery of biomarkers plays an essential role in cancer management from the initial diagnosis to the final treatment regime. Practically, reliable clinical biomarkers are still limited, restricted by the suboptimal methods in biomarker discovery. Nucleic acid aptamers nowadays could be used as a powerful tool in the discovery of protein biomarkers. Nucleic acid aptamers are single-strand oligonucleotides that can specifically bind to various targets with high affinity. As artificial ssDNA or RNA, aptamers possess unique advantages compared to conventional antibodies. They can be flexible in design, low immunogenicity, relative chemical/thermos stability, as well as modifying convenience. Several SELEX (Systematic Evolution of Ligands by Exponential Enrichment) based methods have been generated recently to construct aptamers for discovering new biomarkers in different cell locations. Secretome SELEX-based aptamers selection can facilitate the identification of secreted protein biomarkers. The aptamers developed by cell-SELEX can be used to unveil those biomarkers presented on the cell surface. The aptamers from tissue-SELEX could target intracellular biomarkers. And as a multiplexed protein biomarker detection technology, aptamer-based SOMAScan can analyze thousands of proteins in a single run. In this review, we will introduce the principle and workflow of variations of SELEX-based methods, including secretome SELEX, ADAPT, Cell-SELEX and tissue SELEX. Another powerful proteome analyzing tool, SOMAScan, will also be covered. In the second half of this review, how these methods accelerate biomarker discovery in various diseases, including cardiovascular diseases, cancer and neurodegenerative diseases, will be discussed.
生物标志物是可检测的分子,能够反映细胞、器官和生物体的特定生理状态,因此可被视为特定疾病的指标。生物标志物的发现对于癌症治疗从初步诊断到最终治疗方案的制定起着至关重要的作用。实际上,由于生物标志物发现方法不够完善,可靠的临床生物标志物仍然有限。如今,核酸适配体可作为发现蛋白质生物标志物的有力工具。核酸适配体是单链寡核苷酸,能够以高亲和力特异性结合各种靶标。作为人工合成的单链DNA或RNA,适配体与传统抗体相比具有独特优势。它们在设计上具有灵活性、免疫原性低、相对化学/热稳定性好以及易于修饰等特点。最近已经开发了几种基于指数富集配体系统进化(SELEX)的方法来构建适配体,以发现不同细胞位置的新生物标志物。基于分泌蛋白质组SELEX的适配体筛选有助于鉴定分泌型蛋白质生物标志物。通过细胞SELEX开发的适配体可用于揭示细胞表面呈现的那些生物标志物。来自组织SELEX的适配体可以靶向细胞内生物标志物。作为一种多重蛋白质生物标志物检测技术,基于适配体的SOMAScan可以在一次运行中分析数千种蛋白质。在这篇综述中,我们将介绍基于SELEX的方法变体的原理和工作流程,包括分泌蛋白质组SELEX、ADAPT、细胞SELEX和组织SELEX。另一种强大的蛋白质组分析工具SOMAScan也将被涵盖。在本综述的后半部分,将讨论这些方法如何加速包括心血管疾病、癌症和神经退行性疾病在内的各种疾病中的生物标志物发现。