通过糖代码破译疾病:利用凝集素芯片洞察临床。

IF 3.3 2区 生物学 Q2 BIOCHEMISTRY & MOLECULAR BIOLOGY Acta biochimica et biophysica Sinica Pub Date : 2024-08-01 DOI:10.3724/abbs.2024123
Hangzhou Yang, Zihan Lin, Bo Wu, Jun Xu, Sheng-Ce Tao, Shumin Zhou
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引用次数: 0

摘要

糖基化是一种重要的翻译后修饰,在许多生理和病理过程中发挥着重要作用。凝集素微阵列利用凝集素与糖结合的高度特异性,非常适合分析各种复杂生物样本的糖谱。在这篇综述中,我们探讨了凝集素检测技术的发展,以及凝集素芯片在分析各种临床样本(包括血清、唾液、组织、精子和尿液)糖谱方面的应用和挑战。这篇综述不仅强调了多糖高通量分析的重大进展,还深入探讨了凝集素芯片在诊断和管理肿瘤、自身免疫性疾病和慢性炎症等疾病方面的潜力。我们的目标是清晰、简明、全面地概述凝集素芯片在临床中的应用,从而帮助研究人员开展糖生物学的临床研究。
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Deciphering disease through glycan codes: leveraging lectin microarrays for clinical insights.

Glycosylation, a crucial posttranslational modification, plays a significant role in numerous physiological and pathological processes. Lectin microarrays, which leverage the high specificity of lectins for sugar binding, are ideally suited for profiling the glycan spectra of diverse and complex biological samples. In this review, we explore the evolution of lectin detection technologies, as well as the applications and challenges of lectin microarrays in analyzing the glycome profiles of various clinical samples, including serum, saliva, tissues, sperm, and urine. This review not only emphasizes significant advancements in the high-throughput analysis of polysaccharides but also provides insight into the potential of lectin microarrays for diagnosing and managing diseases such as tumors, autoimmune diseases, and chronic inflammation. We aim to provide a clear, concise, and comprehensive overview of the use of lectin microarrays in clinical settings, thereby assisting researchers in conducting clinical studies in glycobiology.

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来源期刊
Acta biochimica et biophysica Sinica
Acta biochimica et biophysica Sinica 生物-生化与分子生物学
CiteScore
5.00
自引率
5.40%
发文量
170
审稿时长
3 months
期刊介绍: Acta Biochimica et Biophysica Sinica (ABBS) is an internationally peer-reviewed journal sponsored by the Shanghai Institute of Biochemistry and Cell Biology (CAS). ABBS aims to publish original research articles and review articles in diverse fields of biochemical research including Protein Science, Nucleic Acids, Molecular Biology, Cell Biology, Biophysics, Immunology, and Signal Transduction, etc.
期刊最新文献
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