ArticleMolecular systems biology2011
Quantification of mRNA and protein and integration with protein turnover in a bacterium.
Article in Molecular systems biology, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 156 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
156 citing papers in PubMed, 312 citations in OpenAlex.
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- Quantitative essentiality in a reduced genome: a functional, regulatory and structural fitness map.Molecular systems biology · 2025Article
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- Harmful algal blooms are preceded by a predictable and quantifiable shift in the oceanic microbiome.Nature communications · 2025Article
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- Integrating Enzyme-Based Kinetics in Reactive Transport Models to Simulate Spatiotemporal Dynamics of Biomarkers during Chlorinated Ethene Degradation.Environmental science & technology · 2024Article
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- Selectively advantageous instability in biotic and pre-biotic systems and implications for evolution and aging.Frontiers in aging · 2024Review
- Modeling Control of Supercoiling Dynamics and Transcription Using DNA-Binding Proteins.IEEE control systems letters · 2024Article
- Improved transformation efficiency inMicrobiology spectrum · 2023Article
- Comprehensive quantitative modeling of translation efficiency in a genome-reduced bacterium.Molecular systems biology · 2023Article
- Seasonal patterns in microbial carbon and iron transporter expression in the Southern Ocean.Microbiome · 2023Article
- Deciphering the recent trends in pesticide bioremediation using genome editing and multi-omics approaches: a review.World journal of microbiology & biotechnology · 2023Review
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- Bacterial expression of a designed single-chain IL-10 prevents severe lung inflammation.Molecular systems biology · 2023Article
- Principles of gene regulation quantitatively connect DNA to RNA and proteins in bacteria.Science (New York, N.Y.) · 2022Article
- RNA-seq Sample Preparation Kits Strongly Affect Transcriptome Profiles of a Gas-Fermenting Bacterium.Microbiology spectrum · 2022Article
96 more citing papers are in PubMed but not listed here.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
7 authors at 4 institutions in 3 countries.
Funding
Abstract
Biological function and cellular responses to environmental perturbations are regulated by a complex interplay of DNA, RNA, proteins and metabolites inside cells. To understand these central processes in living systems at the molecular level, we integrated experimentally determined abundance data for mRNA, proteins, as well as individual protein half-lives from the genome-reduced bacterium Mycoplasma pneumoniae. We provide a fine-grained, quantitative analysis of basic intracellular processes under various external conditions. Proteome composition changes in response to cellular perturbations reveal specific stress response strategies. The regulation of gene expression is largely decoupled from protein dynamics and translation efficiency has a higher regulatory impact on protein abundance than protein turnover. Stochastic simulations using in vivo data show how low translation efficiency and long protein half-lives effectively reduce biological noise in gene expression. Protein abundances are regulated in functional units, such as complexes or pathways, and reflect cellular lifestyles. Our study provides a detailed integrative analysis of average cellular protein abundances and the dynamic interplay of mRNA and proteins, the central biomolecules of a cell.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.