ArticleJournal of biological engineering2014
A library of mammalian effector modules for synthetic morphology.
Article in Journal of biological engineering, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.
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Who cites it
18 citing papers in PubMed, 38 citations in OpenAlex.
- Optogenetic BlueGENEs engineered into a human safe harbor locus.Nucleic acids research · 2026Article
- Programming the elongation of mammalian cell aggregates with synthetic gene circuits.bioRxiv : the preprint server for biology · 2024Article
- Image-guided optogenetic spatiotemporal tissue patterning using μPatternScope.Nature communications · 2024Article
- Article
- Synthetic Morphogenesis: introducing IEEE journal readers to programming living mammalian cells to make structures.Proceedings of the IEEE. Institute of Electrical and Electronics Engineers · 2022Article
- Synthetic living machines: A new window on life.iScience · 2021Review
- Engineering pattern formation and morphogenesis.Biochemical Society transactions · 2020Review
- Synthetic Morphology: A Vision of Engineering Biological Form.Journal of the history of biology · 2020Article
- Crossing Kingdoms: How Can Art Open Up New Ways of Thinking About Science?Frontiers in bioengineering and biotechnology · 2020Article
- Synthetic development: building mammalian multicellular structures with artificial genetic programs.Current opinion in biotechnology · 2019Review
- Using Sacrificial Cell Spheroids for the Bioprinting of Perfusable 3D Tissue and Organ Constructs: A Computational Study.Computational and mathematical methods in medicine · 2019Article
- SynPharm: A Guide to PHARMACOLOGY Database Tool for Designing Drug Control into Engineered Proteins.ACS omega · 2018Article
- Engineered Living Materials: Prospects and Challenges for Using Biological Systems to Direct the Assembly of Smart Materials.Advanced materials (Deerfield Beach, Fla.) · 2018Review
- Programming Morphogenesis through Systems and Synthetic Biology.Trends in biotechnology · 2018Review
- Mammalian synthetic biology for studying the cell.The Journal of cell biology · 2017Review
- Synthetic Morphogenesis.Cold Spring Harbor perspectives in biology · 2016Review
- Synthetic biology meets tissue engineering.Biochemical Society transactions · 2016Review
- 2- and 3-dimensional synthetic large-scale de novo patterning by mammalian cells through phase separation.Scientific reports · 2016Article
Corrections and comments
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Authors and funding
4 authors at 1 institution in 1 country.
Funding
Abstract
backgroundIn mammalian development, the formation of most tissues is achieved by a relatively small repertoire of basic morphogenetic events (e.g. cell adhesion, locomotion, apoptosis, etc.), permutated in various sequences to form different tissues. Together with cell differentiation, these mechanisms allow populations of cells to organize themselves into defined geometries and structures, as simple embryos develop into complex organisms. The control of tissue morphogenesis by populations of engineered cells is a potentially very powerful but neglected aspect of synthetic biology.
resultsWe have assembled a modular library of synthetic morphogenetic driver genes to control (separately) mammalian cell adhesion, locomotion, fusion, proliferation and elective cell death. Here we describe this library and demonstrate its use in the T-REx-293 human cell line to induce each of these desired morphological behaviours on command.
conclusionsBuilding on from the simple test systems described here, we want to extend engineered control of morphogenetic cell behaviour to more complex 3D structures that can inform embryologists and may, in the future, be used in surgery and regenerative medicine, making synthetic morphology a powerful tool for developmental biology and tissue engineering.
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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.