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Title:

Absolute Proteome Quantification in the Gas-Fermenting Acetogen Clostridium autoethanogenum

Document type:
Zeitschriftenaufsatz
Author(s):
Valgepea, Kaspar; Talbo, Gert; Takemori, Nobuaki; Takemori, Ayako; Ludwig, Christina; Mahamkali, Vishnuvardhan; Mueller, Alexander P.; Tappel, Ryan; Köpke, Michael; Simpson, Séan Dennis; Nielsen, Lars Keld; Marcellin, Esteban
Abstract:
Microbes that can recycle one-carbon (C1) greenhouse gases into fuels and chemicals are vital for the biosustainability of future industries. Acetogens are the most efficient known microbes for fixing carbon oxides CO2 and CO. Understanding proteome allocation is important for metabolic engineering as it dictates metabolic fitness. Here, we use absolute proteomics to quantify intracellular concentrations for >1,000 proteins in the model acetogen Clostridium autoethanogenum grown autotrophically...     »
Keywords:
BayBioMS; acetogen; gas fermentation; genome-scale metabolic modeling; metabolic modeling; metabolomics; proteomics
Journal title:
mSystems
Year:
2022
Fulltext / DOI:
doi:10.1128/msystems.00026-22
Publisher:
American Society for Microbiology
E-ISSN:
2379-5077
Date of publication:
06.04.2022
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