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蛋白质组学与生物信息学揭示差异丰富的膜蛋白和胞质蛋白的预测功能及蛋白质-蛋白质相互作用

: Proteomics Bioinformatics Reveal Predictive Functions and Protein-Protein Interactions of Differentially Abundant Membrane and Cytosolic Proteins.

作者信息

Azmi Norhidayah, Othman Nurulhasanah

机构信息

Institute for Research in Molecular Medicine (INFORMM), Universiti Sains Malaysia, Pulau Pinang 11800, Malaysia.

出版信息

Membranes (Basel). 2021 May 21;11(6):376. doi: 10.3390/membranes11060376.

Abstract

Amoebiasis is caused by and ranked second for parasitic diseases causing death after malaria.   membrane and cytosolic proteins play important roles in the pathogenesis. Our previous study had shown several cytosolic proteins were found in the membrane fraction. Therefore, this study aimed to quantify the differential abundance of membrane and cytosolic proteins in membrane versus cytosolic fractions and analyze their predicted functions and interaction. Previous LC-ESI-MS/MS data were analyzed by PERSEUS software for the differentially abundant proteins, then they were classified into their functional annotations and the protein networks were summarized using PantherDB and STRiNG, respectively. The results showed 24 (44.4%) out of the 54 proteins that increased in abundance were membrane proteins and 30 were cytosolic proteins. Meanwhile, 45 cytosolic proteins were found to decrease in abundance. Functional analysis showed differential abundance proteins involved in the molecular function, biological process, and cellular component with 18.88%, 33.04% and, 48.07%, respectively. The STRiNG server predicted that the decreased abundance proteins had more protein-protein network interactions compared to increased abundance proteins. Overall, this study has confirmed the presence of the differentially abundant membrane and cytosolic proteins and provided the predictive functions and interactions between them.

摘要

阿米巴病由[病原体未提及]引起,在导致死亡的寄生虫病中排名第二,仅次于疟疾。膜蛋白和胞质蛋白在其发病机制中起重要作用。我们之前的研究表明,在膜组分中发现了几种胞质蛋白。因此,本研究旨在量化膜组分与胞质组分中膜蛋白和胞质蛋白的差异丰度,并分析它们的预测功能和相互作用。通过PERSEUS软件分析先前的液相色谱-电喷雾串联质谱(LC-ESI-MS/MS)数据,以确定差异丰富的蛋白质,然后将它们分类到其功能注释中,并分别使用PantherDB和STRING总结蛋白质网络。结果显示,在丰度增加的54种蛋白质中,有24种(44.4%)是膜蛋白,30种是胞质蛋白。同时,发现45种胞质蛋白丰度降低。功能分析表明,差异丰富的蛋白质分别在分子功能、生物过程和细胞成分中占18.88%、33.04%和48.07%。STRING服务器预测,与丰度增加的蛋白质相比,丰度降低的蛋白质具有更多的蛋白质-蛋白质网络相互作用。总体而言,本研究证实了差异丰富的膜蛋白和胞质蛋白的存在,并提供了它们之间的预测功能和相互作用。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/bd96/8224062/5749ccbd4965/membranes-11-00376-g001.jpg

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