ArticleNanoscale2015
DNA topology influences molecular machine lifetime in human serum.
Article in Nanoscale, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 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
18 citing papers in PubMed.
- Tetrahedral framework nucleic acids: Nanokeys unlocking a new era of precision biomedicine.Journal of advanced research · 2026Review
- Piggybacking functionalized DNA nanostructures into live-cell nuclei.Science advances · 2024Article
- Advancements in Aptamer-Driven DNA Nanostructures for Precision Drug Delivery.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2024Review
- Improving DNA nanostructure stability: A review of the biomedical applications and approaches.International journal of biological macromolecules · 2024Review
- Piggybacking functionalized DNA nanostructures into live cell nuclei.bioRxiv : the preprint server for biology · 2024Article
- Nano-Bio Interactions between DNA Nanocages and Human Serum Albumin.Journal of chemical theory and computation · 2023Article
- Fluorometric Determination of DNA Nanostructure Biostability.ACS applied bio materials · 2023Article
- Nucleic acid nanostructures forApplied physics reviews · 2023Review
- Uptake and stability of DNA nanostructures in cells: a cross-sectional overview of the current state of the art.Nanoscale · 2023Review
- Characterization of DNA nanostructure stability by size exclusion chromatography.Analytical methods : advancing methods and applications · 2022Article
- Therapeutic Applications of Programmable DNA Nanostructures.Micromachines · 2022Review
- A DNA-Based MRI Contrast Agent for Quantitative pH Measurement.ACS sensors · 2021Article
- Nuclease resistance of DNA nanostructures.Nature reviews. Chemistry · 2021Review
- Challenges and Perspectives of DNA Nanostructures in Biomedicine.Angewandte Chemie (International ed. in English) · 2020Review
- Cell-Free Synthetic Biology Platform for Engineering Synthetic Biological Circuits and Systems.Methods and protocols · 2019Review
- The Growing Development of DNA Nanostructures for Potential Healthcare-Related Applications.Advanced healthcare materials · 2019Review
- Availability: A Metric for Nucleic Acid Strand Displacement Systems.ACS synthetic biology · 2017Article
- Nucleic acid memory.Nature materials · 2016Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
10 authors.
Funding
Abstract
DNA nanotechnology holds the potential for enabling new tools for biomedical engineering, including diagnosis, prognosis, and therapeutics. However, applications for DNA devices are thought to be limited by rapid enzymatic degradation in serum and blood. Here, we demonstrate that a key aspect of DNA nanotechnology-programmable molecular shape-plays a substantial role in device lifetimes. These results establish the ability to operate synthetic DNA devices in the presence of endogenous enzymes and challenge the textbook view of near instantaneous degradation.
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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.