ArticleGenes & development2007
Rational design of memory in eukaryotic cells.
Article in Genes & development, 2007. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 109 papers.
What it found
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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
109 citing papers in PubMed, 252 citations in OpenAlex.
- Mechanistic modeling reveals a configurable AP-1 network governing cell-state heterogeneity and adaptive plasticity in melanoma cells.Cell reports · 2026Article
- Synthetic gene circuit evolution: Insights and opportunities at the mid-scale.Cell chemical biology · 2024Review
- Dynamics and bifurcations in genetic circuits with fibration symmetries.Journal of the Royal Society, Interface · 2024Article
- Engineering principles for rationally design therapeutic strategies against hepatocellular carcinoma.Frontiers in molecular biosciences · 2024Review
- Design and mathematical analysis of activating transcriptional amplifiers that enable modular temporal control in synthetic juxtacrine circuits.Synthetic and systems biotechnology · 2023Article
- Cell-type memory in a single-cell eukaryote requires the continuous presence of a specific transcription regulator.Proceedings of the National Academy of Sciences of the United States of America · 2023Article
- Origin, heterogeneity, and interconversion of noncanonical bistable switches from the positive feedback loops under dual signaling.iScience · 2023Article
- Design and Analysis of Massively Parallel Reporter Assays Using FORECAST.Methods in molecular biology (Clifton, N.J.) · 2023Article
- Engineering a two-gene system to operate as a highly sensitive biosensor or a sharp switch upon induction with β-estradiol.Scientific reports · 2022Article
- Scalable biological signal recording in mammalian cells using Cas12a base editors.Nature chemical biology · 2022Article
- Principles for the design of multicellular engineered living systems.APL bioengineering · 2022Article
- Plant cell cultures as heterologous bio-factories for secondary metabolite production.Plant communications · 2021Review
- Gene-circuit therapy on the horizon: synthetic biology tools for engineered therapeutics.Acta biochimica Polonica · 2021Review
- Synchronization of gene expression across eukaryotic communities through chemical rhythms.Nature communications · 2021Article
- Review
- Topologies of synthetic gene circuit for optimal fold change activation.Nucleic acids research · 2021Article
- Behaviorist approaches to investigating memory and learning: A primer for synthetic biology and bioengineering.Communicative & integrative biology · 2021Review
- Genetic circuit design automation for yeast.Nature microbiology · 2020Article
- Circuits with broken fibration symmetries perform core logic computations in biological networks.PLoS computational biology · 2020Article
- Encoding Membrane-Potential-Based Memory within a Microbial Community.Cell systems · 2020Article
49 more citing papers are in PubMed but not listed here.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
7 authors at 3 institutions in 1 country.
Funding
Abstract
The ability to logically engineer novel cellular functions promises a deeper understanding of biological systems. Here we demonstrate the rational design of cellular memory in yeast that employs autoregulatory transcriptional positive feedback. We built a set of transcriptional activators and quantitatively characterized their effects on gene expression in living cells. Modeling in conjunction with the quantitative characterization of the activator-promoter pairs accurately predicts the behavior of the memory network. This study demonstrates the power of taking advantage of components with measured quantitative parameters to specify eukaryotic regulatory networks with desired properties.
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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.