Quantitative proteomic analysis reveals a simple strategy of global resource allocation in bacteria
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Evolutionary pressures on microbial metabolic strategies in the chemostatAnalytic derivation of bacterial growth laws from a simple model of intracellular chemical dynamicsMultiplex methods provide effective integration of multi-omic data in genome-scale models.Principles of proteome allocation are revealed using proteomic data and genome-scale models.Microbial consortia at steady supplyThe Warburg Effect: How Does it Benefit Cancer Cells?Shedding light on microbial dark matter: a TM6 bacterium as natural endosymbiont of a free-living amoeba.A Minimalistic Resource Allocation Model to Explain Ubiquitous Increase in Protein Expression with Growth Rate.Constrained Allocation Flux Balance AnalysisA Comparison of the Costs and Benefits of Bacterial Gene Expression.Predictive analytics of environmental adaptability in multi-omic network models.Large-scale reduction of the Bacillus subtilis genome: consequences for the transcriptional network, resource allocation, and metabolism.Few regulatory metabolites coordinate expression of central metabolic genes in Escherichia coli.Overflow metabolism in Escherichia coli results from efficient proteome allocation.A noisy linear map underlies oscillations in cell size and gene expression in bacteria.Investigating the Combinatory Effects of Biological Networks on Gene Co-expression.Optimality and sub-optimality in a bacterial growth law.Reduction of translating ribosomes enables Escherichia coli to maintain elongation rates during slow growth.Crosstalk between transcription and metabolism: how much enzyme is enough for a cell?Improving the phenotype predictions of a yeast genome-scale metabolic model by incorporating enzymatic constraints.Mitochondria and the non-genetic origins of cell-to-cell variability: More is different.Metabolic Trade-offs in Yeast are Caused by F1F0-ATP synthaseAcetate metabolism regulation in Escherichia coli: carbon overflow, pathogenicity, and beyond.Synthetic Biology: Engineering Living Systems from Biophysical Principles.Taking chances and making mistakes: non-genetic phenotypic heterogeneity and its consequences for surviving in dynamic environmentsThe revisited genome of Pseudomonas putida KT2440 enlightens its value as a robust metabolic chassis.Metabolic constraints on the evolution of antibiotic resistance.A growth-rate composition formula for the growth of E.coli on co-utilized carbon substrates.ArcA overexpression induces fermentation and results in enhanced growth rates of E. coli.Inflating bacterial cells by increased protein synthesis.Microenvironmental cooperation promotes early spread and bistability of a Warburg-like phenotype.Optimization of Multi-Omic Genome-Scale Models: Methodologies, Hands-on Tutorial, and Perspectives.Quantifying the benefit of a proteome reserve in fluctuating environments.A global resource allocation strategy governs growth transition kinetics of Escherichia coli.Manipulating the Bacterial Cell Cycle and Cell Size by Titrating the Expression of Ribonucleotide Reductase.Invariance of Initiation Mass and Predictability of Cell Size in Escherichia coli.Using cellular fitness to map the structure and function of a major facilitator superfamily effluxer.Fundamental Principles in Bacterial Physiology - History, Recent progress, and the Future with Focus on Cell Size Control: A Review.Antibiotic efficacy-context matters.On the intrinsic constraint of bacterial growth rate: M. tuberculosis's view of the protein translation capacity.
P2860
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P2860
Quantitative proteomic analysis reveals a simple strategy of global resource allocation in bacteria
description
2015 nî lūn-bûn
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2015 թուականի Յունուարին հրատարակուած գիտական յօդուած
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2015 թվականի հունվարին հրատարակված գիտական հոդված
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2015年の論文
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2015年学术文章
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2015年学术文章
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2015年学术文章
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2015年学术文章
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2015年学术文章
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2015年學術文章
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name
Quantitative proteomic analysi ...... esource allocation in bacteria
@ast
Quantitative proteomic analysi ...... esource allocation in bacteria
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type
label
Quantitative proteomic analysi ...... esource allocation in bacteria
@ast
Quantitative proteomic analysi ...... esource allocation in bacteria
@en
prefLabel
Quantitative proteomic analysi ...... esource allocation in bacteria
@ast
Quantitative proteomic analysi ...... esource allocation in bacteria
@en
P2093
P2860
P50
P356
P1476
Quantitative proteomic analysi ...... esource allocation in bacteria
@en
P2093
David W Erickson
Jilong Wang
Josh M Silverman
Markus Basan
Stephen S Chen
P2860
P356
10.15252/MSB.20145697
P577
2015-02-12T00:00:00Z