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ProteINSIDE to Easily Investigate Proteomics Data from Ruminants: Application to Mine Proteome of Adipose and Muscle Tissues in Bovine Foetuses

机译:ProteINSIDE可轻松研究反刍动物的蛋白质组学数据:在牛胎儿脂肪和肌肉组织的蛋白质组学中的应用

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摘要

Genomics experiments are widely acknowledged to produce a huge amount of data to be analysed. The challenge is to extract meaningful biological context for proteins or genes which is currently difficult because of the lack of an integrative workflow that hinders the efficiency and the robustness of data mining performed by biologists working on ruminants. Thus, we designed ProteINSIDE, a free web service () that (I) provides an overview of the biological information stored in public databases or provided by annotations according to the Gene Ontology, (II) predicts proteins that are secreted to search for proteins that mediate signalisation between cells or tissues, and (III) analyses protein-protein interactions to identify proteins contributing to a process or to visualize functional pathways. Using lists of proteins or genes as a unique input, ProteINSIDE is an original all-in-one tool that merges data from these searches to present a fast overview and integrative analysis of genomic and proteomic data from Bovine, Ovine, Caprine, Human, Rat, and Murine species. ProteINSIDE was bench tested with 1000 proteins identifiers from each species by comparison with DAVID, BioMyn, AgBase, PrediSi, and Phobius. Compared to DAVID or BioMyn, identifications and annotations provided by ProteINSIDE were similar from monogastric proteins but more numerous and relevant for ruminants proteins. ProteINSIDE, thanks to SignalP, listed less proteins potentially secreted with a signal peptide than PrediSi and Phobius, in agreement with the low false positive rate of SignalP. In addition ProteINSIDE is the only resource that predicts proteins secreted by cellular processes that do not involve a signal peptide. Lastly, we reported the usefulness of ProteINSIDE to bring new biological hypotheses of research from proteomics data: the biological meaning of the uptake of adiponectin by the foetal muscle and a role for autophagy during ontogenesis of adipose and muscle tissues.
机译:基因组学实验被广泛认为可以产生大量待分析的数据。面临的挑战是为蛋白质或基因提取有意义的生物学背景,由于缺乏整合的工作流程而阻碍了反刍动物生物学家进行数据挖掘的效率和鲁棒性,目前难以获得有意义的生物学背景。因此,我们设计了ProteINSIDE,这是一个免费的网络服务(),(I)提供了存储在公共数据库中或根据基因本体论提供的注释的生物学信息的概述,(II)预测分泌的蛋白质来搜索蛋白质,介导细胞或组织之间的信号传导,以及(III)分析蛋白质-蛋白质相互作用,以鉴定有助于过程或可视化功能途径的蛋白质。使用蛋白质或基因列表作为唯一输入,ProteINSIDE是一种原始的多合一工具,可以合并来自这些搜索的数据,以快速概述和综合分析牛,羊,山羊,人,大鼠的基因组和蛋白质组数据和鼠类。通过与DAVID,BioMyn,AgBase,PrediSi和Phobius进行比较,对ProteINSIDE用每种物种的1000种蛋白质标识符进行了台架测试。与DAVID或BioMyn相比,ProteINSIDE提供的鉴定和注释与单胃蛋白质相似,但与反刍动物蛋白质相关且更多。得益于SignalP,ProteINSIDE列出了信号肽潜在分泌的蛋白质比PrediSi和Phobius少,这与SignalP的假阳性率低相符。另外,ProteINSIDE是唯一预测不涉及信号肽的细胞过程分泌的蛋白质的资源。最后,我们报道了ProteINSIDE从蛋白质组学数据中引入新的生物学假设的研究的有用性:胎儿肌肉摄取脂联素的生物学意义以及在脂肪和肌肉组织本体形成过程中自噬的作用。

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