ReviewAnnual review of cell and developmental biology2020
Synthetic Developmental Biology: Understanding Through Reconstitution.
Review in Annual review of cell and developmental biology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 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
15 citing papers in PubMed.
- Synthetic developmental engineering of human liver organogenesis.Development (Cambridge, England) · 2026Review
- BMP4 initiates and patterns ventral-caudal structures in zebrafish and human pluripotent stem cell aggregates.The EMBO journal · 2026Article
- Small molecule- and cell contact-inducible systems for controlling expression and differentiation in mouse embryonic stem cells.Development (Cambridge, England) · 2025Article
- Programming the elongation of mammalian cell aggregates with synthetic gene circuits.bioRxiv : the preprint server for biology · 2024Article
- Synthetically programming natural cell-cell communication pathways for tissue engineering.Current opinion in biomedical engineering · 2024Article
- Control of spatio-temporal patterning via cell growth in a multicellular synthetic gene circuit.Nature communications · 2024Article
- Mesenchymal stem cells lineage and their role in disease development.Molecular medicine (Cambridge, Mass.) · 2024Review
- Optogenetic dissection of transcriptional repression in a multicellular organism.Nature communications · 2024Article
- Article
- Unbalanced response to growth variations reshapes the cell fate decision landscape.Nature chemical biology · 2023Article
- Rapid and robust directed differentiation of mouse epiblast stem cells into definitive endoderm and forebrain organoids.Development (Cambridge, England) · 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
- Tissue Engineering with Mechanically Induced Solid-Fluid Transitions.Advanced materials (Deerfield Beach, Fla.) · 2022Article
- Novel synthetic biology approaches for developmental systems.Stem cell reports · 2021Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors.
Funding
Abstract
Reconstitution is an experimental strategy that seeks to recapitulate biological events outside their natural contexts using a reduced set of components. Classically, biochemical reconstitution has been extensively applied to identify the minimal set of molecules sufficient for recreating the basic chemistry of life. By analogy, reconstitution approaches to developmental biology recapitulate aspects of developmental events outside an embryo, with the goal of revealing the basic genetic circuits or physical cues sufficient for recreating developmental decisions. The rapidly growing repertoire of genetic, molecular, microscopic, and bioengineering tools is expanding the complexity and precision of reconstitution experiments. We review the emerging field of synthetic developmental biology, with a focus on the ways in which reconstitution strategies and new biological tools have enhanced our modern understanding of fundamental questions in developmental biology.
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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.