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质量动态 1.0:一个简化的、基于网络的环境,用于分析、共享和整合无标记数据。

Mass Dynamics 1.0: A Streamlined, Web-Based Environment for Analyzing, Sharing, and Integrating Label-Free Data.

机构信息

Mass Dynamics, C/O Hub Southern Cross, Level 2, 696 Bourke Street, Melbourne, Victoria 3000, Australia.

The Walter and Eliza Hall Institute of Medical Research, Parkville, Victoria 3052, Australia.

出版信息

J Proteome Res. 2021 Nov 5;20(11):5180-5188. doi: 10.1021/acs.jproteome.1c00683. Epub 2021 Oct 14.

Abstract

Label-free quantification (LFQ) of shotgun proteomics data is a popular and robust method for the characterization of relative protein abundance between samples. Many analytical pipelines exist for the automation of this analysis, and some tools exist for the subsequent representation and inspection of the results of these pipelines. Mass Dynamics 1.0 (MD 1.0) is a web-based analysis environment that can analyze and visualize LFQ data produced by software such as MaxQuant. Unlike other tools, MD 1.0 utilizes a cloud-based architecture to enable researchers to store their data, enabling researchers to not only automatically process and visualize their LFQ data but also annotate and share their findings with collaborators and, if chosen, to easily publish results to the community. With a view toward increased reproducibility and standardization in proteomics data analysis and streamlining collaboration between researchers, MD 1.0 requires minimal parameter choices and automatically generates quality control reports to verify experiment integrity. Here, we demonstrate that MD 1.0 provides reliable results for protein expression quantification, emulating Perseus on benchmark datasets over a wide dynamic range. The MD 1.0 platform is available globally via: https://app.massdynamics.com/.

摘要

无标记定量(LFQ)的蛋白质组学数据是一种用于描述样品间相对蛋白质丰度的流行且强大的方法。许多分析流程存在用于自动化分析,并且存在一些工具用于表示和检查这些流程的结果。Mass Dynamics 1.0(MD 1.0)是一个基于网络的分析环境,可以分析和可视化由 MaxQuant 等软件生成的 LFQ 数据。与其他工具不同,MD 1.0 利用基于云的架构,使研究人员能够存储他们的数据,使研究人员不仅能够自动处理和可视化他们的 LFQ 数据,还能够对他们的发现进行注释并与合作者共享,并且如果选择,还可以轻松地将结果发布到社区。为了提高蛋白质组学数据分析的可重复性和标准化,并简化研究人员之间的协作,MD 1.0 需要最小的参数选择,并自动生成质量控制报告以验证实验完整性。在这里,我们证明 MD 1.0 为蛋白质表达定量提供了可靠的结果,在广泛的动态范围内模拟了 Perseus 在基准数据集上的结果。MD 1.0 平台可通过以下网址在全球范围内访问:https://app.massdynamics.com/。

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