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Titlebook: Hydrocarbon and Lipid Microbiology Protocols; Genetic, Genomic and Terry J. McGenity,Kenneth N. Timmis,Balbina Nogale Book 2017 Springer-Ve

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發(fā)表于 2025-3-21 16:31:22 | 只看該作者 |倒序?yàn)g覽 |閱讀模式
書(shū)目名稱Hydrocarbon and Lipid Microbiology Protocols
副標(biāo)題Genetic, Genomic and
編輯Terry J. McGenity,Kenneth N. Timmis,Balbina Nogale
視頻videohttp://file.papertrans.cn/431/430317/430317.mp4
概述Offers readily-reproducible step-by-step laboratory methods.Provides helpful tips and tricks supporting the protocols.Includes troubleshooting advice.Contains practical laboratory guidance to promote
叢書(shū)名稱Springer Protocols Handbooks
圖書(shū)封面Titlebook: Hydrocarbon and Lipid Microbiology Protocols; Genetic, Genomic and Terry J. McGenity,Kenneth N. Timmis,Balbina Nogale Book 2017 Springer-Ve
描述.This Volume presents a comprehensive series of generic protocols for the genetic and genomic analysis of prokaryotic isolates. Genetic methods for functional analyses employ the latest cloning vectors, gene fusion methods and transposon mutagenesis systems, as well as systems for introducing protease-cleavage sequences into permissive sites in proteins under investigation. Genomic methods described include protocols for transcriptomics, shotgun proteomics, interactomics, metabolic profiling, and lipidomics. Bioinformatic tools for genome annotation, transcriptome display and the integration of transcriptomic data into genome-scale metabolic reconstructions are described. Protocols for .13.C-based metabolic flux determinations and analysis of the hierarchical and metabolic regulation of fluxes through pathways are included. The Volume thus enables investigators to functionally analyse an isolate over the entire cellular range spanning the gene, the genome, the transcript repertoire, the proteome, the interactome, the metabolic network with its nodes and their regulatory hierarchies, and the metabolic fluxes and their physiological controls..Hydrocarbon and Lipid Microbiology Protoc
出版日期Book 2017
關(guān)鍵詞Bacterial genomes; Cloning; Metagenomics; Metaproteomics; Microarrays; biochemical engineering
版次1
doihttps://doi.org/10.1007/978-3-662-50435-2
isbn_softcover978-3-662-57059-3
isbn_ebook978-3-662-50435-2Series ISSN 1949-2448 Series E-ISSN 1949-2456
issn_series 1949-2448
copyrightSpringer-Verlag Berlin Heidelberg 2017
The information of publication is updating

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Knock-In-Leave-Behind (KILB): Genetic Grafting of Protease-Cleaving Sequences into Permissive Sitesetect phenotypic differences once cleaved in vivo by the cognate protease. Two application scenarios are discussed, i.e., proteolizable variants of the regulatory protein XylR of . and development of phenotypic mutants of metabolic functions.
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,Interatomic Characterization of Protein–Protein Interactions in Membrane-Associated Mega-complexes,via affinity chromatography, and identify the prey proteins via proteomics. A mega-complex consisting of all enzymes of denitrification, their maturation and cofactor delivery machinery, the electron donor system, ATP synthase, the protein translocating SEC system, and the whole citric acid cycle en
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Accurate Microbial Genome Annotation Using an Integrated and User-Friendly Environment for Communitve analysis of prokaryotic genomes, by combining tools and graphical interfaces for genome analysis and manual curation of gene annotations in a comparative genomics context. In the present chapter, we discuss the different stages of annotation using the MicroScope platform, and, through examples of
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GC-MS-Based Determination of Mass Isotopomer Distributions for 13C-Based Metabolic Flux Analysis, reached an isotopic labeling steady state. The method is today applied on all types of cells, from microbial to plant to mammalian cells or whole organs, and on diverse carbon sources. State-of-the-art .C-based metabolic flux analysis most often applies mass spectrometry for the determination of .C
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Analysis of the Hierarchical and Metabolic Regulation of Flux Through Metabolic Pathways,tter, expressed as the metabolic regulation coefficient). Measuring enzyme levels and in vivo fluxes through those enzymes, under two or more different conditions, is sufficient to determine the coefficients. The slope in a double logarithmic plot of the concentrations of an enzyme against the corre
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Juan Carlos Oliverosg, breeding, rearing, and commuting habitat, is essential. The intensive, collaborative studies conducted in Japan and Russia has clarified the status quo and the ecology of the two species.?. This is the first978-981-13-3921-9978-981-10-7203-1Series ISSN 2191-0707 Series E-ISSN 2191-0715
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