ArticleACS synthetic biology2012
Genetic Circuits in Salmonella typhimurium.
Article in ACS synthetic biology, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
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.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
16 citing papers in PubMed.
- The renaissance ofFrontiers in immunology · 2026Review
- State-of-the-art in engineering small molecule biosensors and their applications in metabolic engineering.SLAS technology · 2024Review
- A versatile regulatory toolkit of arabinose-inducible artificial transcription factors for Enterobacteriaceae.Communications biology · 2023Article
- Bacterial degrons in synthetic circuits.Open biology · 2022Review
- Engineering living therapeutics with synthetic biology.Nature reviews. Drug discovery · 2021Review
- Ultrasensitive ultrasound imaging of gene expression with signal unmixing.Nature methods · 2021Article
- Advances in bacterial cancer therapies using synthetic biology.Current opinion in systems biology · 2017Article
- Article
- Orthogonal Modular Gene Repression in Escherichia coli Using Engineered CRISPR/Cas9.ACS synthetic biology · 2016Article
- Programmable probiotics for detection of cancer in urine.Science translational medicine · 2015Article
- Can the natural diversity of quorum-sensing advance synthetic biology?Frontiers in bioengineering and biotechnology · 2015Review
- Principles of genetic circuit design.Nature methods · 2014Review
- Article
- Measuring growth and gene expression dynamics of tumor-targeted S. typhimurium bacteria.Journal of visualized experiments : JoVE · 2013Article
- Tuning the dials of Synthetic Biology.Microbiology (Reading, England) · 2013Review
- Making gene circuits sing.Proceedings of the National Academy of Sciences of the United States of America · 2012Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
7 authors.
Funding
Abstract
Synthetic biology has rapidly progressed over the past decade and is now positioned to impact important problems in health and energy. In the clinical arena, the field has thus far focused primarily on the use of bacteria and bacteriophages to overexpress therapeutic gene products. The next generation of multigene circuits will control the triggering, amplitude, and duration of therapeutic activity in vivo. This will require a host organism that is easy to genetically modify, leverages existing successful circuit designs, and has the potential for use in humans. Here, we show that gene circuits that were originally constructed and tested in Escherichia coli translate to Salmonella typhimurium, a therapeutically relevant microbe with attenuated strains that have exhibited safety in several human clinical trials. These strains are essentially nonvirulent, easy to genetically program, and specifically grow in tumor environments. Developing gene circuits on this platform could enhance our ability to bring sophisticated genetic programming to cancer therapy, setting the stage for a new generation of synthetic biology in clinically relevant microbes.
Identifiers
What OpenQuestion holds
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.