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虚拟混合中的元分析范式:暴露于不同程度低气压缺氧时受到干扰的途径和网络。

The meta-analytical paradigm in an in silico hybrid: Pathways and networks perturbed during exposure to varying degrees of hypobaric hypoxia.

作者信息

Paul Subhojit, Bhargava Kalpana, Ahmad Yasmin

机构信息

Peptide & Proteomics Division, Defence Institute Of Physiology & Allied Sciences (DIPAS), Defence R&D Organization (DRDO), Ministry of Defence, Timarpur, New Delhi, India.

出版信息

Proteomics Clin Appl. 2017 Jul;11(7-8). doi: 10.1002/prca.201600160. Epub 2017 Mar 21.

Abstract

PURPOSE

Computational biology has opened a gateway to omics data analysis and shifted the focus from molecules to systemic molecular networks in the domain of hypobaric hypoxia (HH). Yet there are no meta-analytical investigations circumventing constraints such as organism (rat/human), HH exposure conditions (acute/chronic), and the tissues that can be investigated simultaneously in the realm of wet lab experiments.

EXPERIMENTAL DESIGN

We analyzed 154 differentially expressed proteins upon HH exposure using Ingenuity Pathway Analysis (IPA) tool, without the constraint of using a single organism or tissue type, to determine the most significant pathways and networks that are perturbed across a range of HH conditions.

RESULTS

We found acute phase response signaling, farsenoid X receptor/retinoid X receptor activation, liver X receptor/retinoid X receptor activation, clathrin-mediated endocytosis signaling, mitochondrial dysfunction, production of nitric oxide and ROS in macrophages, and integrin signaling to be the most significant universally perturbed pathways. Unique protein-function relationships have also been highlighted.

CONCLUSION AND CLINICAL RELEVANCE

This meta-analysis provides a list of specific pathways and networks across two model organisms that are perturbed due to HH exposure irrespective of its duration/intensity. Thus, it will be a map of important pathways and proteins to look at when exploring effects of HH exposure irrespective of tissue/organism chosen, particularly in the context of prophylactic/therapeutic targets.

摘要

目的

计算生物学为组学数据分析打开了一扇大门,并将低压缺氧(HH)领域的研究重点从分子转移到系统分子网络。然而,在湿实验室实验领域,尚无荟萃分析研究能够规避诸如生物体(大鼠/人类)、HH暴露条件(急性/慢性)以及可同时研究的组织等限制因素。

实验设计

我们使用 Ingenuity Pathway Analysis(IPA)工具分析了154种HH暴露后差异表达的蛋白质,不受单一生物体或组织类型的限制,以确定在一系列HH条件下受到干扰的最显著途径和网络。

结果

我们发现急性期反应信号传导、法尼醇X受体/视黄酸X受体激活、肝X受体/视黄酸X受体激活、网格蛋白介导的内吞作用信号传导、线粒体功能障碍、巨噬细胞中一氧化氮和活性氧的产生以及整合素信号传导是最显著的普遍受到干扰的途径。还突出了独特的蛋白质-功能关系。

结论与临床意义

这项荟萃分析提供了两种模式生物中因HH暴露而受到干扰的特定途径和网络列表,无论其持续时间/强度如何。因此,它将成为探索HH暴露影响时需要关注的重要途径和蛋白质的图谱,无论选择何种组织/生物体,特别是在预防/治疗靶点的背景下。

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