ArticleNature communications2022
A synthetic transcription platform for programmable gene expression in mammalian cells.
Article in Nature communications, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.
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Who cites it
17 citing papers in PubMed, 27 citations in OpenAlex.
- Modular Scalable Synthetic Gene Circuits for Complex Functions Within Minimal Computational Layers in Human Cells.Nature communications · 2026Article
- Redefining cellular reprogramming with advanced genomic technologies.Nature reviews. Genetics · 2026Review
- Mammalian synthetic gene circuits for biopharmaceutical development & manufacture.NPJ systems biology and applications · 2025Review
- Synthetic tunable promoters for flexible control of multi-gene expression in mammalian cells.Journal of advanced research · 2025Article
- Cryo-EM study and in vivo chemical mapping of the Methanosarcina acetivorans ribosome and its dimerization via a repurposed enzyme and translation factor.The Journal of biological chemistry · 2025Article
- Nanoscale Analysis beyond Imaging by Atomic Force Microscopy: Molecular Perspectives on Oncology and Neurodegeneration.Small science · 2025Review
- CRISPR-based genetic tools for the study of host-microbe interactions.Infection and immunity · 2025Review
- Modular and signal-responsive transcriptional regulation using CRISPRi-aided genetic switches in Escherichia coli.Journal of biological engineering · 2025Article
- Microbial Transcription Factor-Based Biosensors: Innovations from Design to Applications in Synthetic Biology.Biosensors · 2025Review
- Development of a bacterial gene transcription activating strategy based on transcriptional activator positive feedback.Journal of advanced research · 2024Article
- A novel interpretable deep learning-based computational framework designed synthetic enhancers with broad cross-species activity.Nucleic acids research · 2024Article
- Exploring treatment options in cancer: Tumor treatment strategies.Signal transduction and targeted therapy · 2024Review
- CRISPR Technologies in Chinese Hamster Ovary Cell Line Engineering.International journal of molecular sciences · 2023Review
- Uncovering the Role ofJournal of the American Chemical Society · 2023Article
- Engineered PROTAC-CID Systems for Mammalian Inducible Gene Regulation.Journal of the American Chemical Society · 2023Article
- The evolution of synthetic receptor systems.Nature chemical biology · 2022Review
- Synthetic biology: at the crossroads of genetic engineering and human therapeutics-a Keystone Symposia report.Annals of the New York Academy of Sciences · 2021Review
Corrections and comments
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Authors and funding
14 authors at 7 institutions in 3 countries.
Funding
Abstract
Precise, scalable, and sustainable control of genetic and cellular activities in mammalian cells is key to developing precision therapeutics and smart biomanufacturing. Here we create a highly tunable, modular, versatile CRISPR-based synthetic transcription system for the programmable control of gene expression and cellular phenotypes in mammalian cells. Genetic circuits consisting of well-characterized libraries of guide RNAs, binding motifs of synthetic operators, transcriptional activators, and additional genetic regulatory elements express mammalian genes in a highly predictable and tunable manner. We demonstrate the programmable control of reporter genes episomally and chromosomally, with up to 25-fold more activity than seen with the EF1α promoter, in multiple cell types. We use these circuits to program the secretion of human monoclonal antibodies and to control T-cell effector function marked by interferon-γ production. Antibody titers and interferon-γ concentrations significantly correlate with synthetic promoter strengths, providing a platform for programming gene expression and cellular function in diverse applications.
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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.