Synthetic biology and engineered tissue patterning
Leduc defined synthetic biology as the synthesis of the constituents, forms and functions of living things.1 Leduc used the term in 1911 for work on form made by diffusion.2 Davies and Glykofrydis describe the modern version, in which cells are engineered to pattern and shape themselves, as a test of developmental understanding and a base for tissue engineering.67
- Earliest held
- 1911, Leduc, S.
- Most discussed in
- The Mechanism of Life, 1911
- In the library
- 106 passages in 42 works
- Rewritten
- 2026-10-21
Leduc's synthetic biology
Leduc (1911), in The Mechanism of Life, counted synthetic biology as three branches: synthetic organic chemistry, morphogeny and physiogeny.1 Morphogeny was the synthesis of living forms and structures. Physiogeny was the synthesis of functions.1 He judged that chemistry was already a well-organized science, while the other two could hardly yet be said to exist as sciences.1 He described the field as the final one in the evolution of biological science, opened by progress in physico-chemical science.2 His own results used the diffusion of liquids to obtain forms that imitated cellular tissues, and also striated structures such as muscle and mother-of-pearl.2
Tissue engineering meets circuits
Davies and Cachat (2016) argued that classical tissue engineering will continue as synthetic biology develops towards being useful to it. They thought most of its current priorities, which centre on normal tissues, might be reached without a synthetic input.3 They said synthetic approaches may make the task easier. They also noted that many printing processes in bioprinting, one of the most promising techniques, place serious stresses on cells.3 They added that synthetic biologists from the prokaryotic world might find mammalian systems frustrating. Natural cell-cell interactions stay active unless the synthetic system blocks them.4 Kamm and colleagues (2018) wrote that engineered multicellular living systems need many disciplines, and named convergence as key.5
Engineered patterning and morphogenesis
Davies and Glykofrydis (2020) reviewed mammalian systems built so far. They covered patterning systems, both contact-mediated and reaction-diffusion, and the effectors of morphogenesis. They also covered early attempts to join the two into self-organizing physical form.6 They argued that engineering autonomous pattern formation tests axiomatic understanding of developmental biology and lays a foundation for advanced tissue engineering.7 Pio-Lopez, Hartl and Levin (2025) cite multiscale competency as a framework for synthetic biology and regenerative medicine.8 Chen and colleagues (2025) discuss piezoelectric scaffolds for stem cell adhesion and migration in tissue engineering.9
The other two branches of biological synthesis, morphogeny, the synthesis of living forms and structures, and physiogeny, the synthesis of functions, can hardly as yet be said to exist as sciences.
Leduc, S., 1911 · The Mechanism of Life · open at passage 285We shall see how it is possible by the mere diffusion of liquids to obtain forms which imitate with the greatest accuracy not only the ordinary cellular tissues
Leduc, S., 1911 · The Mechanism of Life · open at passage 11Classical tissue engineering will continue as synthetic biology develops towards being useful to it and most of the current priorities for tissue engineering, which all centre on normal tissues, may probably achieved without a synthetic input.
Davies JA, Cachat E, 2016 · Synthetic biology meets tissue engineering · open at passage 16Finally, the natural cell–cell interactions that are so critical to normal development and to organoid formation will still be up-and-running, unless the synthetic systems actively block them.
Davies JA, Cachat E, 2016 · Synthetic biology meets tissue engineering · open at passage 19Convergence remains key to the development of M-CELS, across numerous sub-fields (Table I).
Kamm RD, Bashir R, Arora N, Dar RD, Gillette MU, Griffith…, 2018 · Perspective: The promise of multi-cellular engineered living systems · open at passage 3Using synthetic biology to engineer patterning and morphogenesis will both enhance our basic understanding of how development works, and provide important technologies for advanced tissue engineering.
Davies JA, Glykofrydis F, 2020 · Engineering pattern formation and morphogenesis · open at passage 0Engineering cells to undergo autonomous pattern formation and morphogenesis is important both for testing axiomatic understanding of developmental biology, and as a foundation for advanced tissue-engineering.
Davies JA, Glykofrydis F, 2020 · Engineering pattern formation and morphogenesis · open at passage 20this multiscale competency architecture provides a framework for innovation in fields such as synthetic biology and regenerative medicine
Pio-Lopez L, Hartl B, Levin M, 2025 · Aging as a Loss of Goal-Directedness: An Evolutionary Simulation and Analysis… · open at passage 15In summary, piezoelectric scaffolds provide a multifaceted approach to enhance stem cell adhesion and migration, ultimately improving regenerative outcomes in tissue engineering applications
Chen N, Su Y, Zhao R, Deng X, 2025 · Bioelectric cues from piezoelectric materials in stem-cell adhesion and… · open at passage 18
| 1911 | The Mechanism of Life · Leduc, S. | 11 |
| 2016 | Synthetic biology meets tissue engineering · Davies JA, Cachat E | 8 |
| 2025 | Bioelectric cues from piezoelectric materials in stem-cell adhesion and… · Chen N, Su Y, Zhao R, Deng X | 7 |
| 2020 | Engineering pattern formation and morphogenesis · Davies JA, Glykofrydis F | 6 |
| 2018 | Perspective: The promise of multi-cellular engineered living systems · Kamm RD, Bashir R, Arora N, Dar RD… | 5 |
| 2023 | Biological Robots: Perspectives on an Emerging Interdisciplinary Field · Blackiston D, Kriegman S, Bongard J… | 5 |
| 2025 | Basal Xenobot transcriptomics reveals changes and novel control modality in… · Pai VP, Pio-Lopez L, Sperry MM… | 4 |
| 2026 | Mind Everywhere: A Framework for Conceptualizing Goal-Directedness in Biology… · Levin M, Resnik DB | 4 |
| 2022 | Learning in Transcriptional Network Models: Computational Discovery of… · Biswas S, Clawson W, Levin M | 4 |
| 2021 | Behaviorist approaches to investigating memory and learning: A primer for… · Abramson CI, Levin M | 4 |