ReviewAnnual review of biophysics2011
Decision making in living cells: lessons from a simple system.
Review in Annual review of biophysics, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 34 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
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.
The trial behind it
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
34 citing papers in PubMed.
- Decoding behavior with minimal and interpretable agent models.PLoS computational biology · 2026Article
- The adaptive plasticity of temperate phageVirus evolution · 2026Article
- Article
- Bistable Functions and Signaling Motifs in Systems Chemistry: Taking the Next Step Toward Synthetic Cells.Accounts of chemical research · 2025Review
- Using bacterial population dynamics to count phages and their lysogens.Nature communications · 2024Article
- Article
- The human gut virome: composition, colonization, interactions, and impacts on human health.Frontiers in microbiology · 2023Review
- Activation domains can decouple the mean and noise of gene expression.Cell reports · 2022Article
- CellDynaMo-stochastic reaction-diffusion-dynamics model: Application to search-and-capture process of mitotic spindle assembly.PLoS computational biology · 2022Article
- Bacteriophage self-counting in the presence of viral replication.Proceedings of the National Academy of Sciences of the United States of America · 2021Article
- Bacteriophage λ RexA and RexB functions assist the transition from lysogeny to lytic growth.Molecular microbiology · 2021Article
- Analysis of Infection Time Courses Shows CII Levels Determine the Frequency of Lysogeny in Phage 186.Pharmaceuticals (Basel, Switzerland) · 2021Article
- AimR Adopts Preexisting Dimer Conformations for Specific Target Recognition in Lysis-Lysogeny Decisions ofBiomolecules · 2021Article
- AreViruses · 2021Article
- Memorizing environmental signals through feedback and feedforward loops.Current opinion in cell biology · 2021Review
- From deterministic to fuzzy decision-making in artificial cells.Nature communications · 2020Article
- Biophysical ambiguities prevent accurate genetic prediction.Nature communications · 2020Article
- Constraining the complexity of promoter dynamics using fluctuations in gene expression.Physical biology · 2019Article
- Structural basis of the arbitrium peptide-AimR communication system in the phage lysis-lysogeny decision.Nature microbiology · 2018Article
- Infection by bacteriophage lambda: an evolving paradigm for cellular individuality.Current opinion in microbiology · 2018Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
1 author.
Funding
Abstract
The life cycle of bacteriophage lambda serves as a simplified paradigm for cell-fate decisions. The ongoing quantitative, high-resolution experimental investigation of this life cycle has produced some important insights in recent years. These insights have to do with the way cells choose among alternative fates, how they maintain long-term memory of their gene-expression state, and how they switch from one stable state to another. The recent studies have highlighted the role of spatiotemporal effects in cellular processes and the importance of distinguishing chemical stochasticity from possible hidden variables in cellular decision making.
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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.