全肾、髓质和皮质小管在糖尿病小鼠肾损伤发病中的比较蛋白质组学分析。

IF 1.2 4区 综合性期刊 Q3 MULTIDISCIPLINARY SCIENCES
Michelle T Barati, Daniel W Wilkey, Jon B Klein, Timothy D Cummins
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引用次数: 0

摘要

确定肾脏疾病事件的顺序是肾脏科医生工具箱中临床实践的基石。组织蛋白质组学分析是了解肾脏病理生理的基本生理和分子过程的重要方法。我们在这里提出的方法和方案将允许在与疾病后遗症相关的每个特定区域进行肾脏分子解剖。为了确定疾病对具有独特功能的特定肾脏区域和结构的影响,本方案的目标是演示简化的小鼠肾脏区隔化和肾皮质小管分离技术,以及简化的无标记定量蛋白质组学工作流程。结合这些方法将有助于识别整个肾脏、肾髓质室和肾皮质小管结构中的紊乱分子模式,最终实现病理背景下单细胞蛋白质组学的最终目标。在几乎任何疾病模型中应用这些方法将有助于描述与肾功能障碍相关的病理机制。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Comparative Proteomic Analysis of Whole Kidney, Medulla, and Cortical Tubules in Diabetic Pathogenesis of Kidney Injury in Mice.

Defining the sequence of events in renal disease is the cornerstone of clinical practice in the nephrologist toolkit. Tissue proteomic analyses are a significant approach to understanding the fundamental physiological and molecular processes of renal pathophysiology. The methods and protocols we present here will allow for the molecular dissection of the kidney in each specific region of interest related to disease sequelae. To determine the effects of disease on specific kidney regions and structures with unique functions, the goals of this protocol are to demonstrate simplified mouse kidney compartmentalization and renal cortical tubule isolation techniques in tandem with streamlined label-free quantitative proteomic workflows. Combining these methods will assist in the identification of perturbed molecular patterns in the whole kidney, medullary compartments, and cortical tubule structures of kidneys, with the ultimate and eventual goal of single-cell proteomics in pathological contexts. Applying these methods in virtually any disease model will be helpful in delineating mechanisms of pathology related to kidney dysfunction.

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来源期刊
Jove-Journal of Visualized Experiments
Jove-Journal of Visualized Experiments MULTIDISCIPLINARY SCIENCES-
CiteScore
2.10
自引率
0.00%
发文量
992
期刊介绍: JoVE, the Journal of Visualized Experiments, is the world''s first peer reviewed scientific video journal. Established in 2006, JoVE is devoted to publishing scientific research in a visual format to help researchers overcome two of the biggest challenges facing the scientific research community today; poor reproducibility and the time and labor intensive nature of learning new experimental techniques.
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