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UnknownStock culture heterogeneity rather than new mutational variation complicates short-term cell physiology studies of Escherichia coli K-12 MG1655 in continuous culture.
Not available
S-EPMC3352173 | biostudies-literature
ProteomicsRedox controls metabolic robustness in the gas-fermenting acetogen Clostridium autoethanogenum
Living biological systems display a fascinating ability to self-organise their metabolism. This ability ultimately determines metabolic robustness that is fundamental to control cellular behaviour. However, fluctuations in metabolism can affect cellular homeostasis through transient oscillations. Fo...
ORGANISM(S): Clostridium autoethanogenum 
2020-05-18 | PXD016381 | Pride
Metabolic robustness  oscillations  acetogen  gas fermentation  wood-ljungdahl pathway  metabolism  data-independent acquisition 
ProteomicsAbsolute proteome quantification in the gas-fermenting acetogen Clostridium autoethanogenum
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 ...
ORGANISM(S): Clostridium autoethanogenum 
2022-05-22 | PXD025732 | Pride
Absolute quantification  acetogen  gas fermentation  data-independent acquisition  dia 
ProteomicsDeletion of genes linked to the C1-fixing gene cluster affects growth, by-products, and proteome of Clostridium autoethanogenum
Gas fermentation has emerged as a sustainable route to produce fuels and chemicals by recycling inexpensive one-carbon (C1) feedstocks from gaseous and solid waste using gas-fermenting microbes. Currently, acetogens that utilise the Wood-Ljungdahl pathway to convert carbon oxides (CO and CO2) into v...
ORGANISM(S): Clostridium autoethanogenum 
2023-05-10 | PXD040151 | Pride
Gas fermentation  acetogen  crispr/ncas9  genetic engineering  metabolomics  proteomics  chemostat  continuous cultivation  syngas 
TranscriptomicsSpecific growth rate dependent transcriptome profiling of Escherichia coli K12 MG1655 in accelerostat cultures
Specific growth rate dependent gene expression changes of Escherichia coli K12 MG1655 were determined by microarray and real time PCR analyses. The bacteria were cultivated on glucose limited minimal medium using the accelerostat method (A-stat), where starting from steady state conditions in a chem...
ORGANISM(S): Escherichia coli 
2010-05-22 | E-GEOD-18183 | biostudies-arrayexpress
ProteomicsH2 drives metabolic rearrangements in gas-fermenting Clostridium autoethanogenum
Background: The global demand for affordable carbon has never been stronger, and there is an imperative in many industrial processes to use waste streams to make products. Gas-fermenting acetogens offer a potential solution and several commercial gas fermentation plants are currently under construct...
ORGANISM(S): Clostridium autoethanogenum 
2018-03-05 | PXD008367 | Pride
Acetogen  gas fermentation  quantitative proteomics  data-independent acquisition  genome-scale modelling  metabolomics 
ProteomicsOverflow metabolism of acetate in Escherichia coli is triggered by carbon catabolite repression of acetyl-CoA synthethase
Fermentation F143 sample P1, growth rate 0.1 h-1 mixed with 15N batch culture in ratio 1:1
ORGANISM(S): Escherichia coli str. K-12 substr. MG1655 
2011-05-05 | PRD000232 | Pride
UnknownReverse‐Engineered Gas‐Fermenting Acetogen Strains Recover Enhanced Phenotypes From Autotrophic Adaptive Laboratory Evolution
Not available
S-EPMC12335938 | biostudies-literature
ProteomicsSpecific growth rate-dependent proteome resource allocation dynamics in Escherichia coli
Cells usually respond to changing growth conditions with a change in the specific growth rate (μ) and adjustment of their proteome to adapt and maintain metabolic efficiency. Description of the principles behind proteome resource allocation is thus important for understanding metabolic regulation in...
ORGANISM(S): Escherichia coli 
2015-02-27 | PXD001594 | Pride
E. coli label-free specific growth rate dependent data 
ProteomicsComparison and applications of label-free absolute proteome quantification methods on Escherichia coli
Three different label-free proteome quantification methods - APEX, emPAI and iBAQ - were evaluated to measure proteome-wide protein concentrations in the cell. All the methods were applied to a sample from Escherichia coli chemostat culture. A Pearson squared correlation of approximately 0.6 among t...
ORGANISM(S): Escherichia coli 
2013-07-24 | PXD000283 | Pride
Ups2 Shotgun proteomics Ibaq E. coli 
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