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Membrane proteomics for leukemia classification and drug target identification

机译:膜蛋白组学用于白血病分类和药物靶标鉴定

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Knowledge of protein expression in the plasma membrane of leukemia cells has contributed to improvements in the detection and treatment of hematological malignancies. Recently engineered antibodies against leukemia surface molecules have improved therapeutic efficacy compared with earlier agents, but there are still side effects. An increased understanding of the surface expression profiles and interactions of membrane proteins on leukemia cells will facilitate the expansion of the role of antibodies in therapy and enable the identification of novel biomarkers for the various stages of leukemogenesis and leukemia progression. Proteomic analysis enables the identification of thousands of proteins in a membrane extract and provides information on their relative abundance, interactions and post-translational modifications. Plasma membrane proteome analysis of leukemia cells can be used to define biomarkers for diagnosis, classification, prognosis and progression monitoring, as well as to predict therapeutic response or resistance. The effects of chemotherapy on the surface proteome and the functional consequences of perturbations to membrane protein networks can provide insights into leukemia cell signaling and survival mechanisms. Surface proteins that are differentially expressed on leukemia cells are prospective targets for the development of engineered antibodies or small-molecule therapeutics. This review focuses on recent discoveries in leukemia membrane proteomics and the potential for future research into leukemia classification and drug target identification.
机译:白血病细胞质膜中蛋白质表达的知识有助于血液恶性肿瘤的检测和治疗。与早期药物相比,最近设计的针对白血病表面分子的抗体具有更高的治疗功效,但仍存在副作用。对白血病细胞表面表达谱和膜蛋白相互作用的深入了解将有助于抗体在治疗中的作用扩展,并能够鉴定白血病发生和白血病进展各个阶段的新型生物标志物。蛋白质组学分析能够鉴定膜提取物中的数千种蛋白质,并提供有关其相对丰度,相互作用和翻译后修饰的信息。白血病细胞的质膜蛋白质组学分析可用于定义生物标志物,用于诊断,分类,预后和进展监测,以及预测治疗反应或耐药性。化学疗法对表面蛋白质组的影响以及对膜蛋白网络扰动的功能后果可为白血病细胞信号传导和存活机制提供见解。在白血病细胞上差异表达的表面蛋白是工程抗体或小分子疗法发展的预期目标。这篇综述着重于白血病膜蛋白质组学的最新发现以及对白血病分类和药物靶标识别的未来研究的潜力。

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