ReviewCurrent opinion in biotechnology2019
Synthetic development: building mammalian multicellular structures with artificial genetic programs.
Review in Current opinion in biotechnology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 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
28 citing papers in PubMed.
- Programming human cell type-specific gene expression via an atlas of AI-designed enhancers.bioRxiv : the preprint server for biology · 2025Article
- Small molecule- and cell contact-inducible systems for controlling expression and differentiation in mouse embryonic stem cells.Development (Cambridge, England) · 2025Article
- Designer mammalian living materials through genetic engineering.Bioactive materials · 2025Review
- Basal Xenobot transcriptomics reveals changes and novel control modality in cells freed from organismal influence.Communications biology · 2025Article
- AI-driven automated discovery tools reveal diverse behavioral competencies of biological networks.eLife · 2025Article
- Contact area and tissue growth dynamics shape synthetic juxtacrine signaling patterns.Biophysical journal · 2025Article
- Programming the elongation of mammalian cell aggregates with synthetic gene circuits.bioRxiv : the preprint server for biology · 2024Article
- Control of spatio-temporal patterning via cell growth in a multicellular synthetic gene circuit.Nature communications · 2024Article
- Article
- Motile Living Biobots Self-Construct from Adult Human Somatic Progenitor Seed Cells.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2024Article
- BioNexusSentinel: a visual tool for bioregulatory network and cytohistological RNA-seq genetic expression profiling within the context of multicellular simulation research using ChatGPT-augmented software engineering.Bioinformatics advances · 2024Article
- Programming Juxtacrine-Based Synthetic Signaling Networks in a Cellular Potts Framework.Methods in molecular biology (Clifton, N.J.) · 2024Article
- Design and mathematical analysis of activating transcriptional amplifiers that enable modular temporal control in synthetic juxtacrine circuits.Synthetic and systems biotechnology · 2023Article
- Closing the loop on morphogenesis: a mathematical model of morphogenesis by closed-loop reaction-diffusion.Frontiers in cell and developmental biology · 2023Article
- Synthetic gene circuits for cell state detection and protein tuning in human pluripotent stem cells.Molecular systems biology · 2022Article
- Optogenetic control of apical constriction induces synthetic morphogenesis in mammalian tissues.Nature communications · 2022Article
- SyNPL: Synthetic Notch pluripotent cell lines to monitor and manipulate cell interactions in vitro and in vivo.Development (Cambridge, England) · 2022Article
- 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
- Review
- Programming cell growth into different cluster shapes using diffusible signals.PLoS computational biology · 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
3 authors.
Funding
Abstract
Synthetic biology efforts began in simple single-cell systems, which were relatively easy to manipulate genetically (Cameron et al., 2014). The field grew exponentially in the last two decades, and one of the latest frontiers are synthetic developmental programs for multicellular mammalian systems (Black et al., 2017; Wieland and Fussenegger, 2012) to genetically control features such as patterning or morphogenesis. These programs rely on engineered cell-cell communications, multicellular gene regulatory networks and effector genes. Here, we contextualize the first of these synthetic developmental programs, examine molecular and computational tools that can be used to generate next generation versions, and present the general logic that underpins these approaches. These advances are exciting as they represent a novel way to address both control and understanding in the field of developmental biology and tissue development (Elowitz and Lim, 2010; Velazquez et al., 2018; White et al., 2018; Morsut, 2017). This field is just at the beginning, and it promises to be of major interest in the upcoming years of biomedical research.
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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.