ArticleCell systems2016
Exploiting Natural Fluctuations to Identify Kinetic Mechanisms in Sparsely Characterized Systems.
Article in Cell systems, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 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
18 citing papers in PubMed.
- Cell Growth and Division Shape mRNA-Protein Correlations.bioRxiv : the preprint server for biology · 2026Article
- Article
- Rigorous validation of ecological models against empirical time series.Nature ecology & evolution · 2025Article
- Review
- Studying stochastic systems biology of the cell with single-cell genomics data.bioRxiv : the preprint server for biology · 2023Article
- The effect of microRNA on protein variability and gene expression fidelity.Biophysical journal · 2023Article
- RNA velocity unraveled.PLoS computational biology · 2022Article
- Article
- Data-driven network models for genetic circuits from time-series data with incomplete measurements.Journal of the Royal Society, Interface · 2021Article
- Review
- The circadian oscillator analysed at the single-transcript level.Molecular systems biology · 2021Article
- Using Models to (Re-)Design Synthetic Circuits.Methods in molecular biology (Clifton, N.J.) · 2021Article
- Multiplex RNA single molecule FISH of inducible mRNAs in single yeast cells.Scientific data · 2019Article
- Investigating epithelial-to-mesenchymal transition with integrated computational and experimental approaches.Physical biology · 2019Review
- Homeostasis of protein and mRNA concentrations in growing cells.Nature communications · 2018Article
- Distribution shapes govern the discovery of predictive models for gene regulation.Proceedings of the National Academy of Sciences of the United States of America · 2018Article
- Careful accounting of extrinsic noise in protein expression reveals correlations among its sources.Physical review. E · 2017Article
- Determining the Limitations and Benefits of Noise in Gene Regulation and Signal Transduction through Single Cell, Microscopy-Based Analysis.Journal of molecular biology · 2017Review
Corrections and comments
- Commented on by
Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
From biochemistry to ecology, many biological systems are stochastic, complex, and sparsely characterized. In such systems, each component may respond to changes in any directly or indirectly connected components, thus requiring knowledge of the whole to predict the dynamics of the parts. Here, we address this challenge by deriving relations between properties of fluctuations that only reflect local interactions between a subset of components but are invariant to all indirectly connected dynamics. This greatly reduces the number of assumptions when evaluating dynamic models experimentally. We illustrate the approach by revisiting systematic single-cell gene expression data, and we show that the observed fluctuations contradict the assumptions made in most published models of stochastic gene expression, even when accounting for the possibility of systematic experimental artifacts.
Indexed as
Identifiers
27135537What OpenQuestion holds
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.