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Titlebook: Microbial Proteomics; Methods and Protocol D?rte Becher Book 2018 Springer Science+Business Media, LLC, part of Springer Nature 2018 Subcel

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發(fā)表于 2025-3-21 16:32:08 | 只看該作者 |倒序?yàn)g覽 |閱讀模式
書目名稱Microbial Proteomics
副標(biāo)題Methods and Protocol
編輯D?rte Becher
視頻videohttp://file.papertrans.cn/634/633024/633024.mp4
概述Includes cutting-edge methods and protocols for the study of microbial proteomics.Provides step-by-step detail essential for reproducible results.Contains key notes and implementation advice from the
叢書名稱Methods in Molecular Biology
圖書封面Titlebook: Microbial Proteomics; Methods and Protocol D?rte Becher Book 2018 Springer Science+Business Media, LLC, part of Springer Nature 2018 Subcel
描述This detailed volume explores state-of-the-art methods for the identification, quantification, and characterization of microbial proteins. Split into five parts, the content addresses global sample preparation and protein enrichment, subcellular fractionation, protein quantification, analysis of post-translational protein modifications, as well as metaproteomics, a relatively new branch of microbial proteomics that investigates the proteins of all microbes comprising an environmental consortium. Written for the highly successful .Methods in Molecular Biology. series, chapters include introductions to their respective topics, lists of the necessary materials and reagents, step-by-step, readily reproducible laboratory protocols, and tipson troubleshooting and avoiding known pitfalls.?.Authoritative and practical, .Microbial Proteomics: Methods and Protocols. serves as a valuable and stimulating source for all beginners and advanced researchers in the field of microbial proteomics and beyond..Chapter 18 is available open access under a Creative Commons Attribution 4.0 International License via link.springer.com..
出版日期Book 2018
關(guān)鍵詞Subcellular fractionation; Protein quantification; Metaproteomics; Microbes; Proteome analysis; Post-tran
版次1
doihttps://doi.org/10.1007/978-1-4939-8695-8
isbn_softcover978-1-4939-9368-0
isbn_ebook978-1-4939-8695-8Series ISSN 1064-3745 Series E-ISSN 1940-6029
issn_series 1064-3745
copyrightSpringer Science+Business Media, LLC, part of Springer Nature 2018
The information of publication is updating

書目名稱Microbial Proteomics影響因子(影響力)




書目名稱Microbial Proteomics影響因子(影響力)學(xué)科排名




書目名稱Microbial Proteomics網(wǎng)絡(luò)公開度




書目名稱Microbial Proteomics網(wǎng)絡(luò)公開度學(xué)科排名




書目名稱Microbial Proteomics被引頻次




書目名稱Microbial Proteomics被引頻次學(xué)科排名




書目名稱Microbial Proteomics年度引用




書目名稱Microbial Proteomics年度引用學(xué)科排名




書目名稱Microbial Proteomics讀者反饋




書目名稱Microbial Proteomics讀者反饋學(xué)科排名




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Metabolic Labeling of Microorganisms with Stable Heavy Nitrogen Isotopes (15N)les. Once set up, the workflow relies on defined chemical or commercially available complex media leading to universal heavy labeling by the stable isotope .N. This chapter provides a detailed protocol for labeling of different bacteria and the strategy for evaluating the incorporation rate of the heavy stable isotopes in the sample is discussed.
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In vivo Proteomics Approaches for the Analysis of Bacterial Adaptation Reactions in Host–Pathogen Sengs and the high amounts of contaminating host proteins. Here, we describe a workflow for the enrichment of intracellular bacteria by fluorescence activated cell sorting which in combination with highly sensitive LC-MS/MS allows monitoring of about 1200 proteins from 2 to 4?×?10. internalized bacterial cells as starting material.
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https://doi.org/10.1007/978-1-4939-8695-8Subcellular fractionation; Protein quantification; Metaproteomics; Microbes; Proteome analysis; Post-tran
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發(fā)表于 2025-3-22 23:01:28 | 只看該作者
D?rte BecherIncludes cutting-edge methods and protocols for the study of microbial proteomics.Provides step-by-step detail essential for reproducible results.Contains key notes and implementation advice from the
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Next-Generation Trapping of Protease Substrates by Label-Free Proteomicsd, concentrated by an 1D-short gel, and identified by LC-coupled mass spectrometry (LC-MS) followed by label-free quantification. The identification of four known FtsH substrates validated this approach and suggests that it is generally applicable to AAA. proteases.
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