ArticleProceedings of the National Academy of Sciences of the United States of America2012
Regulating synthetic gene networks in 3D materials.
Article in Proceedings of the National Academy of Sciences of the United States of America, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.
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Who cites it
16 citing papers in PubMed, 43 citations in OpenAlex.
- Integrating synthetic biology to understand and engineer the heart, lung, blood, and sleep systems.Cell systems · 2025Review
- DNA Vaccines in the Post-mRNA Era: Engineering, Applications, and Emerging Innovations.International journal of molecular sciences · 2025Review
- Programming megakaryocytes to produce engineered platelets for delivering non-native proteins.Communications biology · 2025Article
- Applications of synthetic biology in medical and pharmaceutical fields.Signal transduction and targeted therapy · 2023Review
- Human Breast Extracellular Matrix Microstructures and Protein Hydrogel 3D Cultures of Mammary Epithelial Cells.Cancers · 2021Article
- Scaffold-based 3D cellular models mimicking the heterogeneity of osteosarcoma stem cell niche.Scientific reports · 2020Article
- Thermofluidic heat exchangers for actuation of transcription in artificial tissues.Science advances · 2020Article
- Connecting secretome to hematopoietic stem cell phenotype shifts in an engineered bone marrow niche.Integrative biology : quantitative biosciences from nano to macro · 2020Article
- Rosa26 docking sites for investigating genetic circuit silencing in stem cells.Synthetic biology (Oxford, England) · 2020Article
- The Current Status of COVID-19 Vaccines.Frontiers in genome editing · 2020Review
- Differences in osteogenic induction of human mesenchymal stem cells between a tailored 3D hybrid scaffold and a 2D standard culture.Journal of materials science. Materials in medicine · 2019Article
- Engineering DNA vaccines against infectious diseases.Acta biomaterialia · 2018Review
- Bottom-up approaches in synthetic biology and biomaterials for tissue engineering applications.Journal of industrial microbiology & biotechnology · 2018Article
- Synthetic mechanobiology: engineering cellular force generation and signaling.Current opinion in biotechnology · 2016Review
- Silica-based branched hollow microfibers as a biomimetic extracellular matrix for promoting tumor cell growth in vitro and in vivo.Advanced materials (Deerfield Beach, Fla.) · 2013Article
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Corrections and comments
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Authors and funding
4 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Combining synthetic biology and materials science will enable more advanced studies of cellular regulatory processes, in addition to facilitating therapeutic applications of engineered gene networks. One approach is to couple genetic inducers into biomaterials, thereby generating 3D microenvironments that are capable of controlling intrinsic and extrinsic cellular events. Here, we have engineered biomaterials to present the genetic inducer, IPTG, with different modes of activating genetic circuits in vitro and in vivo. Gene circuits were activated in materials with IPTG embedded within the scaffold walls or chemically linked to the matrix. In addition, systemic applications of IPTG were used to induce genetic circuits in cells encapsulated into materials and implanted in vivo. The flexibility of modifying biomaterials with genetic inducers allows for patterned placement of these inducers that can be used to generate distinct patterns of gene expression. Together, these genetically interactive materials can be used to characterize genetic circuits in environments that more closely mimic cells' natural 3D settings, to better explore complex cell-matrix and cell-cell interactions, and to facilitate therapeutic applications of synthetic 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.