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Identification of the immunoproteome of the meningococcus by cell surface immunoprecipitation and MS.通过细胞表面免疫沉淀和 MS 鉴定脑膜炎球菌的免疫蛋白质组。
Microbiology (Reading). 2014 Feb;160(Pt 2):429-438. doi: 10.1099/mic.0.071829-0. Epub 2013 Nov 25.
2
Predicted strain coverage of a meningococcal multicomponent vaccine (4CMenB) in Europe: a qualitative and quantitative assessment.预测脑膜炎球菌多组份疫苗(4CMenB)在欧洲的菌株覆盖率:定性和定量评估。
Lancet Infect Dis. 2013 May;13(5):416-25. doi: 10.1016/S1473-3099(13)70006-9. Epub 2013 Feb 13.
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SignalP 4.0: discriminating signal peptides from transmembrane regions.信号肽预测工具SignalP 4.0:区分信号肽与跨膜区域。
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Exploring the proteome of meningococcal outer membrane vesicle vaccines.探索脑膜炎奈瑟菌外膜囊泡疫苗的蛋白质组。
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PSORTb 3.0: improved protein subcellular localization prediction with refined localization subcategories and predictive capabilities for all prokaryotes.PSORTb 3.0:通过改进定位亚类和提高对所有原核生物的预测能力,改善了蛋白质亚细胞定位预测。
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Gneg-mPLoc: a top-down strategy to enhance the quality of predicting subcellular localization of Gram-negative bacterial proteins.Gneg-mPLoc:一种提升革兰氏阴性细菌蛋白亚细胞定位预测质量的自顶向下策略。
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Towards the immunoproteome of Neisseria meningitidis.迈向脑膜炎奈瑟菌免疫蛋白质组学。
PLoS One. 2009 Jun 16;4(6):e5940. doi: 10.1371/journal.pone.0005940.
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Signal-CF: a subsite-coupled and window-fusing approach for predicting signal peptides.信号-CF:一种用于预测信号肽的亚位点耦合和窗口融合方法。
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Prediction of protein subcellular localization.蛋白质亚细胞定位预测
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PrediSi: prediction of signal peptides and their cleavage positions.PrediSi:信号肽及其切割位点的预测
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革兰氏阴性菌细胞表面蛋白的免疫沉淀

Immunoprecipitation of Cell Surface Proteins from Gram-negative Bacteria.

作者信息

Cunha Carlos Eduardo Pouey, Newcombe Jane, Dellagostin Odir Antonio, McFadden Johnjoe

机构信息

School of Biosciences and Medicine, Faculty of Health and Medical Sciences, University of Surrey,Guildford, Surrey GU2 7XH, UK.

Biotecnologia, Centro de Desenvolvimento Tecnológico, Universidade Federal de Pelotas, Pelotas, Rio Grande do Sul, Brasil.

出版信息

Bio Protoc. 2017 May 5;7(9):e2250. doi: 10.21769/BioProtoc.2250.

DOI:10.21769/BioProtoc.2250
PMID:34541240
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC8410285/
Abstract

The meningococcus () remains an important threat to human healthworldwide. This Gram-negative bacterium causes elevated disabilities and mortality in infectedindividuals. Despite several available vaccines, currently there is no universal vaccine against allcirculating meningococcal strains ( Vogel , 2013 ). Herein, we describe a new protocol that iscapable of identifying only cell surface exposed proteins that play a role in immunity, providing thisresearch field with a more straightforward approach to identify novel vaccine targets. Even though is used as a model in the protocol herein described, this protocol can be used for anyGram-negative bacteria provided modifications and optimizations are carried out to adapt it to differentbacterial and disease characteristics (, membrane fragility, growth methods, serum antibody levels,).

摘要

脑膜炎双球菌()仍然是全球人类健康的一个重要威胁。这种革兰氏阴性细菌会导致受感染个体的残疾率和死亡率上升。尽管有几种可用的疫苗,但目前尚无针对所有流行的脑膜炎球菌菌株的通用疫苗(Vogel,2013年)。在此,我们描述了一种新方案,该方案能够仅识别在免疫中起作用的细胞表面暴露蛋白,为该研究领域提供了一种更直接的方法来识别新型疫苗靶点。尽管本文所述方案中使用作为模型,但只要进行修改和优化以使其适应不同的细菌和疾病特征(如膜脆性、生长方法、血清抗体水平等),该方案可用于任何革兰氏阴性细菌。