ArticleProceedings of the National Academy of Sciences of the United States of America2017
Thermosensitivity of growth is determined by chaperone-mediated proteome reallocation.
Article in Proceedings of the National Academy of Sciences of the United States of America, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 55 papers.
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Who cites it
55 citing papers in PubMed, 105 citations in OpenAlex.
- Metabolic engineering strategies: utilizing different microbial strains and advanced technologies for the synthesis of high-valued terpenoids.Antonie van Leeuwenhoek · 2026Review
- A systems-level atlas of carbon-response transcriptional states inProceedings of the National Academy of Sciences of the United States of America · 2026Article
- A proteome optimal allocation model for elucidating effects of temperature on bacterial growth.NPJ systems biology and applications · 2026Article
- Toward a systems metabolic engineering approach to improve thermotolerance of Escherichia coli.Microbial cell factories · 2026Review
- Enhancing the heat tolerance of homolactic Escherichia coli through reverse metabolic engineering.Applied microbiology and biotechnology · 2026Article
- QSProteome: a community-driven interactive platform for large-scale exploration and evaluation of predicted protein complex structures.Nucleic acids research · 2026Article
- RBApy: extending resource allocation modeling to eukaryotes in complex environments.Bioinformatics advances · 2026Article
- Laboratory Evolution Reveals Transcriptional Mechanisms Underlying Thermal Adaptation of Escherichia coli.Genome biology and evolution · 2025Article
- Protein Quality Control is a Master Modulator of Molecular Evolution in Bacteria.Genome biology and evolution · 2025Review
- Metabolic rearrangement enables adaptation of microbial growth rate to temperature shifts.Nature microbiology · 2025Article
- No universal mathematical model for thermal performance curves across traits and taxonomic groups.Nature communications · 2024Article
- The hallmarks of a tradeoff in transcriptomes that balances stress and growth functions.mSystems · 2024Article
- Current State, Challenges, and Opportunities in Genome-Scale Resource Allocation Models: A Mathematical Perspective.Metabolites · 2024Review
- Strategies to increase the robustness of microbial cell factories.Advanced biotechnology · 2024Review
- StressME: Unified computing framework of Escherichia coli metabolism, gene expression, and stress responses.PLoS computational biology · 2024Article
- Laboratory evolution, transcriptomics, and modeling reveal mechanisms of paraquat tolerance.Cell reports · 2023Article
- DeepSTABp: A Deep Learning Approach for the Prediction of Thermal Protein Stability.International journal of molecular sciences · 2023Article
- The hallmarks of a tradeoff in transcriptomes that balances stress and growth functions.Research square · 2023Article
- Towards applications of genome-scale metabolic model-based approaches in designing synthetic microbial communities.Quantitative biology (Beijing, China) · 2023Review
- Diffusive Dynamics of Bacterial Proteome as a Proxy of Cell Death.ACS central science · 2023Article
Corrections and comments
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Authors and funding
6 authors at 3 institutions in 2 countries.
Funding
Abstract
Maintenance of a properly folded proteome is critical for bacterial survival at notably different growth temperatures. Understanding the molecular basis of thermoadaptation has progressed in two main directions, the sequence and structural basis of protein thermostability and the mechanistic principles of protein quality control assisted by chaperones. Yet we do not fully understand how structural integrity of the entire proteome is maintained under stress and how it affects cellular fitness. To address this challenge, we reconstruct a genome-scale protein-folding network for
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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.