ArticlePLoS computational biology2015
Controlled Measurement and Comparative Analysis of Cellular Components in E. coli Reveals Broad Regulatory Changes in Response to Glucose Starvation.
Article in PLoS computational biology, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers.
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Who cites it
23 citing papers in PubMed.
- Translation accuracy in E. coli.Nucleic acids research · 2026Article
- Propensity for proto-gene emergence in bacteria.Genome biology · 2025Article
- De novo gene birth and the conundrum of ORFan genes in bacteria.Genome research · 2025Review
- Promoter recruitment drives the emergence of proto-genes in a long-term evolution experiment with Escherichia coli.PLoS biology · 2024Article
- Growth-dependent Gene Expression Variation Influences the Strength of Codon Usage Biases.Molecular biology and evolution · 2023Article
- Growth-dependent gene expression variation influences the strength of codon usage biases.bioRxiv : the preprint server for biology · 2023Article
- Bacterial Resuscitation from Starvation-Induced Dormancy Results in Phenotypic Diversity Coupled with Translational Activity Depending on Carbon Substrate Availability.Microbial ecology · 2023Article
- Protocol for CAROM: A machine learning tool to predict post-translational regulation from metabolic signatures.STAR protocols · 2022Article
- Analysis of proteome adaptation reveals a key role of the bacterial envelope in starvation survival.Molecular systems biology · 2022Article
- Article
- Metabolites Potentiate Nitrofurans in Nongrowing Escherichia coli.Antimicrobial agents and chemotherapy · 2021Article
- Slower growth of Escherichia coli leads to longer survival in carbon starvation due to a decrease in the maintenance rate.Molecular systems biology · 2020Article
- Signal Recognition Particle RNA Contributes to Oxidative Stress Response inFrontiers in microbiology · 2020Article
- Optimizing the dynamics of protein expression.Scientific reports · 2019Article
- Distinct mechanisms coordinate transcription and translation under carbon and nitrogen starvation in Escherichia coli.Nature microbiology · 2018Article
- Burden-driven feedback control of gene expression.Nature methods · 2018Article
- Article
- Metabolic crosstalk regulates Porphyromonas gingivalis colonization and virulence during oral polymicrobial infection.Nature microbiology · 2017Article
- Reduced Protein Expression in a Virus Attenuated by Codon Deoptimization.G3 (Bethesda, Md.) · 2017Article
- The E. coli molecular phenotype under different growth conditions.Scientific reports · 2017Article
Corrections and comments
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Authors and funding
15 authors.
Funding
Abstract
How do bacteria regulate their cellular physiology in response to starvation? Here, we present a detailed characterization of Escherichia coli growth and starvation over a time-course lasting two weeks. We have measured multiple cellular components, including RNA and proteins at deep genomic coverage, as well as lipid modifications and flux through central metabolism. Our study focuses on the physiological response of E. coli in stationary phase as a result of being starved for glucose, not on the genetic adaptation of E. coli to utilize alternative nutrients. In our analysis, we have taken advantage of the temporal correlations within and among RNA and protein abundances to identify systematic trends in gene regulation. Specifically, we have developed a general computational strategy for classifying expression-profile time courses into distinct categories in an unbiased manner. We have also developed, from dynamic models of gene expression, a framework to characterize protein degradation patterns based on the observed temporal relationships between mRNA and protein abundances. By comparing and contrasting our transcriptomic and proteomic data, we have identified several broad physiological trends in the E. coli starvation response. Strikingly, mRNAs are widely down-regulated in response to glucose starvation, presumably as a strategy for reducing new protein synthesis. By contrast, protein abundances display more varied responses. The abundances of many proteins involved in energy-intensive processes mirror the corresponding mRNA profiles while proteins involved in nutrient metabolism remain abundant even though their corresponding mRNAs are down-regulated.
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