Xu Qian, Cui Ziyou, Venkatraman Gayathi, Gomes Aldrin V
Department of Neurobiology, Physiology and Behavior, University of California, Davis, 176 Briggs Hall, One Shields Avenue, Davis, CA, 95616, USA.
Biophys Rev. 2012 Jun;4(2):125-135. doi: 10.1007/s12551-012-0070-2. Epub 2012 Mar 15.
The use of proteomic approaches in investigating diseases is continuing to expand and has started to provide answers to substantial gaps in our understanding of disease pathogenesis as well as in the development of effective strategies for the early diagnosis and treatment of diseases. Biophysical techniques form a crucial part of the advanced proteomic techniques currently used and include mass spectrometry and protein separation techniques, such as two-dimensional gel electrophoresis and liquid chromatography. The application of biophysical proteomic techniques in the study of disease includes delineation of altered protein expression, not only at the whole-cell or tissue levels, but also in subcellular structures, protein complexes, and biological fluids. These techniques are also being used for the discovery of novel disease biomarkers, exploration of the pathogenesis of diseases, development of new diagnostic methodologies, and identification of new targets for therapeutics. Proteomic techniques also have the potential for accelerating drug development through more effective strategies for evaluating a specific drug's therapeutic effects and toxicity. This article discusses the application of biophysical proteomic techniques in delineating cardiovascular disease and other diseases, as well as the limitations and future research directions required for these techniques to gain greater acceptance and have a larger impact.
蛋白质组学方法在疾病研究中的应用正在不断扩展,并已开始为我们在理解疾病发病机制以及制定疾病早期诊断和治疗的有效策略方面存在的重大差距提供答案。生物物理技术是目前使用的先进蛋白质组学技术的关键组成部分,包括质谱分析和蛋白质分离技术,如二维凝胶电泳和液相色谱。生物物理蛋白质组学技术在疾病研究中的应用包括描绘蛋白质表达的变化,不仅在全细胞或组织水平,而且在亚细胞结构、蛋白质复合物和生物体液中。这些技术还被用于发现新的疾病生物标志物、探索疾病发病机制、开发新的诊断方法以及确定新的治疗靶点。蛋白质组学技术还具有通过更有效的策略评估特定药物的治疗效果和毒性来加速药物开发的潜力。本文讨论了生物物理蛋白质组学技术在描绘心血管疾病和其他疾病方面的应用,以及这些技术为获得更广泛认可和产生更大影响所需的局限性和未来研究方向。