ReviewBiophysical journal2013
Systems biophysics of gene expression.
Review in Biophysical journal, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 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.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
15 citing papers in PubMed.
- The Dynamics of Inducible Genetic Circuits.ArXiv · 2026Article
- Actionable Forecasting as a Determinant of Biological Adaptation.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2025Article
- Interplay of Cellular mRNA, miRNA and Viral miRNA during Infection of a Cell.International journal of molecular sciences · 2022Article
- Robustness of DNA looping across multiple cell divisions in individual bacteria.Proceedings of the National Academy of Sciences of the United States of America · 2022Article
- Genome-wide investigation of the ZF-HD gene family in two varieties of alfalfa (Medicago sativa L.) and its expression pattern under alkaline stress.BMC genomics · 2022Article
- Phenotypic delay in the evolution of bacterial antibiotic resistance: Mechanistic models and their implications.PLoS computational biology · 2020Article
- Understanding biochemical processes in the presence of sub-diffusive behavior of biomolecules in solution and living cells.Biophysical reviews · 2019Review
- From biophysics to 'omics and systems biology.European biophysics journal : EBJ · 2019Review
- Insights into Signaling and the Functional Complexity of Biological Membranes.The Journal of membrane biology · 2017Article
- Understanding key features of bacterial restriction-modification systems through quantitative modeling.BMC systems biology · 2017Article
- Scoring Targets of Transcription in Bacteria Rather than Focusing on Individual Binding Sites.Frontiers in microbiology · 2017Article
- Systems biology approaches to adverse drug effects: the example of cardio-oncology.Nature reviews. Clinical oncology · 2015Review
- Effects of promoter leakage on dynamics of gene expression.BMC systems biology · 2015Article
- Ranking of Reactions Based on Sensitivity of Protein Noise Depends on the Choice of Noise Measure.PloS one · 2015Article
- Analytic approaches to stochastic gene expression in multicellular systems.Biophysical journal · 2013Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Gene expression is a process central to any form of life. It involves multiple temporal and functional scales that extend from specific protein-DNA interactions to the coordinated regulation of multiple genes in response to intracellular and extracellular changes. This diversity in scales poses fundamental challenges to the use of traditional approaches to fully understand even the simplest gene expression systems. Recent advances in computational systems biophysics have provided promising avenues to reliably integrate the molecular detail of biophysical process into the system behavior. Here, we review recent advances in the description of gene regulation as a system of biophysical processes that extend from specific protein-DNA interactions to the combinatorial assembly of nucleoprotein complexes. There is now basic mechanistic understanding on how promoters controlled by multiple, local and distal, DNA binding sites for transcription factors can actively control transcriptional noise, cell-to-cell variability, and other properties of gene regulation, including precision and flexibility of the transcriptional responses.
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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.