ArticleNature communications2025
Predictive genetic circuit design for phenotype reprogramming in plants.
Article in Nature communications, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 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.
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Who cites it
8 citing papers in PubMed.
- Insect-Derived Anti-Aging Bioresources: Current Status, Bottlenecks, and Future Directions.Insects · 2026Review
- Endogenous constitutive promoters with a broad range of transcriptional activities for plant synthetic biology.Plant cell reports · 2026Article
- Synthetic Biology of Plants and Microbes for Agriculture, Environment, and Future Applications.Chemical reviews · 2026Review
- Synthetic promoter design in plants: integration of computational and experimental approaches.Frontiers in plant science · 2026Review
- Harnessing plant agriculture to mitigate climate change: A framework to evaluate synthetic biology (and other) interventions.Plant physiology · 2025Article
- Identification and application of bioparts for plant synthetic biology.Molecules and cells · 2025Review
- Antioxidant Defense Systems in Plants: Mechanisms, Regulation, and Biotechnological Strategies for Enhanced Oxidative Stress Tolerance.Life (Basel, Switzerland) · 2025Review
- The switch-liker's guide to plant synthetic gene circuits.The Plant journal : for cell and molecular biology · 2025Review
Corrections and comments
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Authors and funding
4 authors.
Funding
Abstract
Plants, with intricate molecular networks for environmental adaptation, offer groundbreaking potential for reprogramming with predictive genetic circuits. However, realizing this goal is challenging due to the long cultivation cycle of plants, as well as the lack of reproducible, quantitative methods and well-characterized genetic parts. Here, we establish a rapid (~10 days), quantitative, and predictive framework in plants. A group of orthogonal sensors, modular synthetic promoters, and NOT gates are constructed and quantitatively characterized. A predictive model is developed to predict the designed circuits' behavior accurately. Our versatile and robust framework, validated by constructing 21 two-input circuits with high prediction accuracy (R
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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.