ArticleMolecular systems biology2013
Accurate measurements of dynamics and reproducibility in small genetic networks.
Article in Molecular systems biology, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 50 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
50 citing papers in PubMed.
- Maternal patterning in early Drosophila embryos: how much information can single maternal gradients supply?Development (Cambridge, England) · 2026Article
- Neighborhood-informed positional information for precise cell identity specification.Molecular systems biology · 2026Article
- A conserved coupling of transcriptional ON and OFF periods underlies bursting dynamics.Nature structural & molecular biology · 2025Article
- Deep learning-based high-resolution time inference for deciphering dynamic gene regulation from fixed embryos.Nature communications · 2025Article
- Regulation of Transcriptional Bursting and Spatial Patterning in EarlybioRxiv : the preprint server for biology · 2025Article
- Deriving a genetic regulatory network from an optimization principle.Proceedings of the National Academy of Sciences of the United States of America · 2025Article
- Stable developmental patterns of gene expression without morphogen gradients.PLoS computational biology · 2024Article
- Scale invariance in early embryonic development.Proceedings of the National Academy of Sciences of the United States of America · 2024Article
- Precise and scalable self-organization in mammalian pseudo-embryos.Nature structural & molecular biology · 2024Article
- Rapid response of fly populations to gene dosage across development and generations.Nature communications · 2024Article
- Scale invariance in early embryonic development.ArXiv · 2023Article
- Functional analysis of the Drosophila eve locus in response to non-canonical combinations of gap gene expression levels.Developmental cell · 2023Article
- Specialized cells that sense tissue mechanics to regulate Drosophila morphogenesis.Developmental cell · 2023Article
- Article
- Article
- Trading bits in the readout from a genetic network.Proceedings of the National Academy of Sciences of the United States of America · 2021Article
- The many bits of positional information.Development (Cambridge, England) · 2021Review
- Quantifying Temperature Compensation of Bicoid Gradients with a Fast T-Tunable Microfluidic Device.Biophysical journal · 2020Article
- Shadow enhancers can suppress input transcription factor noise through distinct regulatory logic.eLife · 2020Article
- Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors.
Funding
Abstract
Quantification of gene expression has become a central tool for understanding genetic networks. In many systems, the only viable way to measure protein levels is by immunofluorescence, which is notorious for its limited accuracy. Using the early Drosophila embryo as an example, we show that careful identification and control of experimental error allows for highly accurate gene expression measurements. We generated antibodies in different host species, allowing for simultaneous staining of four Drosophila gap genes in individual embryos. Careful error analysis of hundreds of expression profiles reveals that less than ∼20% of the observed embryo-to-embryo fluctuations stem from experimental error. These measurements make it possible to extract not only very accurate mean gene expression profiles but also their naturally occurring fluctuations of biological origin and corresponding cross-correlations. We use this analysis to extract gap gene profile dynamics with ∼1 min accuracy. The combination of these new measurements and analysis techniques reveals a twofold increase in profile reproducibility owing to a collective network dynamics that relays positional accuracy from the maternal gradients to the pair-rule genes.
Indexed as
Identifiers
What 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.