ArticleScience advances2021
Model-guided design of mammalian genetic programs.
Article in Science advances, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 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
20 citing papers in PubMed.
- Opportunities for artificial intelligence and synthetic biology in designing living drug delivery systems.Advanced drug delivery reviews · 2026Review
- GCAD: A Computational Framework for Mammalian Genetic Program Computer-Aided Design.ACS synthetic biology · 2026Article
- Programming Next-Generation Synthetic Biosensors by Genetic Circuit Design.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026Review
- Article
- Conversion of natural cytokine receptors into orthogonal synthetic biosensors.Nature chemical biology · 2025Article
- GCAD: a Computational Framework for Mammalian Genetic Program Computer-Aided Design.bioRxiv : the preprint server for biology · 2025Article
- Designer mammalian living materials through genetic engineering.Bioactive materials · 2025Review
- High-resolution and programmable RNA-IN and RNA-OUT genetic circuit in living mammalian cells.Nature communications · 2024Article
- Customizing cellular signal processing by synthetic multi-level regulatory circuits.Nature communications · 2023Review
- Multi-input Drug-Controlled Switches of Mammalian Gene Expression Based on Engineered Nuclear Hormone Receptors.ACS synthetic biology · 2023Article
- A cybergenetic framework for engineering intein-mediated integral feedback control systems.Nature communications · 2023Article
- Multi-input drug-controlled switches of mammalian gene expression based on engineered nuclear hormone receptors.bioRxiv : the preprint server for biology · 2023Article
- Parameterized Computational Framework for the Description and Design of Genetic Circuits of Morphogenesis Based on Contact-Dependent Signaling and Changes in Cell-Cell Adhesion.ACS synthetic biology · 2022Article
- Robust and tunable signal processing in mammalian cells via engineered covalent modification cycles.Nature communications · 2022Article
- The evolution of synthetic receptor systems.Nature chemical biology · 2022Review
- GAMES: A Dynamic Model Development Workflow for Rigorous Characterization of Synthetic Genetic Systems.ACS synthetic biology · 2022Article
- Synthetic biology: at the crossroads of genetic engineering and human therapeutics-a Keystone Symposia report.Annals of the New York Academy of Sciences · 2021Review
- Control of mammalian cell-based devices with genetic programming.Current opinion in systems biology · 2021Article
- Exploiting B Cell Transfer for Cancer Therapy: Engineered B Cells to Eradicate Tumors.International journal of molecular sciences · 2021Review
- Design and Evaluation of Synthetic RNA-Based Incoherent Feed-Forward Loop Circuits.Biomolecules · 2021Article
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.
Funding
Abstract
Genetically engineering cells to perform customizable functions is an emerging frontier with numerous technological and translational applications. However, it remains challenging to systematically engineer mammalian cells to execute complex functions. To address this need, we developed a method enabling accurate genetic program design using high-performing genetic parts and predictive computational models. We built multifunctional proteins integrating both transcriptional and posttranslational control, validated models for describing these mechanisms, implemented digital and analog processing, and effectively linked genetic circuits with sensors for multi-input evaluations. The functional modularity and compositional versatility of these parts enable one to satisfy a given design objective via multiple synonymous programs. Our approach empowers bioengineers to predictively design mammalian cellular functions that perform as expected even at high levels of biological complexity.
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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.