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Preclinical Western Blot in the Era of Digital Transformation and Reproducible Research, an Eastern Perspective
Interdisciplinary Sciences: Computational Life Sciences ( IF 4.8 ) Pub Date : 2021-06-02 , DOI: 10.1007/s12539-021-00442-7
Saman Sargolzaei 1 , Ajeet Kaushik 2 , Seyed Soltani 3 , M Hadi Amini 4 , Mohammad Reza Khalghani 5 , Navid Khoshavi 6 , Arman Sargolzaei 7
Affiliation  

Abstract

The current research is an interdisciplinary endeavor to develop a necessary tool in preclinical protein studies of diseases or disorders through western blotting. In the era of digital transformation and open access principles, an interactive cloud-based database called East–West Blot (https://rancs-lab.shinyapps.io/WesternBlots) is designed and developed. The online interactive subject-specific database built on the R shiny platform facilitates a systematic literature search on the specific subject matter, here set to western blot studies of protein regulation in the preclinical model of TBI. The tool summarizes the existing publicly available knowledge through a data visualization technique and easy access to the critical data elements and links to the study itself. The application compiled a relational database of PubMed-indexed western blot studies labeled under HHS public access, reporting downstream protein regulations presented by fluid percussion injury model of traumatic brain injury. The promises of the developed tool include progressing toward implementing the principles of 3Rs (replacement, reduction, and refinement) for humane experiments, cultivating the prerequisites of reproducible research in terms of reporting characteristics, paving the ways for a more collaborative experimental design in basic science, and rendering an up-to-date and summarized perspective of current publicly available knowledge.

Graphic abstract



中文翻译:

数字化转型和可重复研究时代的临床前蛋白质印迹,东方视角

摘要

目前的研究是一项跨学科的努力,旨在通过蛋白质印迹法在疾病或障碍的临床前蛋白质研究中开发一种必要的工具。在数字化转型和开放获取原则的时代,设计和开发了一个名为 East-West Blot (https://rancs-lab.shinyapps.io/WesternBlots) 的交互式基于云的数据库。建立在 R 闪亮平台上的在线交互式特定主题数据库促进了对特定主题的系统文献搜索,这里设置为 TBI 临床前模型中蛋白质调节的蛋白质印迹研究。该工具通过数据可视化技术和对关键数据元素的轻松访问以及与研究本身的链接,总结了现有的公开可用知识。该应用程序编译了一个 PubMed 索引的蛋白质印迹研究的关系数据库,标记为 HHS 公共访问,报告由创伤性脑损伤的流体冲击损伤模型呈现的下游蛋白质法规。所开发工具的承诺包括推进实施 3Rs(替换、减少和改进)的人道实验原则,在报告特征方面培养可重复研究的先决条件,为基础科学中更具协作性的实验设计铺平道路,并呈现当前公开可用知识的最新和总结的观点。

图形摘要

更新日期:2021-06-02
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