1. Background
DNA nanomachines were developed as highly accurate alternatives to costly and unreliable methods used for measuring gene expression levels. However, despite their potential, DNA nanomachines also come with several limitations. One major drawback is their tendency to interact with various biological molecules, which can compromise their functionality. Additionally, background noise often hampers their performance, leading to reduced sensitivity and less precise results.
2. Goal
The goal of our work was to create DNA nanomachines for the highly sensitive detection of RNA extracted from cell culture that can be used for assessing mRNA concentrations without amplification.
3. Methods
DNA nanomachines were partially preassembled to add more auxiliary structures. Additional quenchers were added to the structure to decrease the background noise and increase the dynamic range and limit of detection. The pre-assembly was performed with the gradual cooling of samples after a short boiling period. The resulted pre-assembled structures were confirmed via PAGE gel. Samples were incubated at 55 °C and different times of exposure were analyzed. The DNA nanomachines were characterized via limits of detection and their effectivity was assessed on total RNA extracted from cell culture.
4. Results
The results of the optimization experiments showed that incorporating a specific amount of DNA nanomachine with quenchers effectively reduced the background noise and non-specific fluorescence, therefore leading to more accurate evaluation of the signal. The limit of detection experiments revealed that the designed structures were capable of detecting their target at concentrations as small as picomolar. Notably, the machines equipped with quenchers exhibited even greater sensitivity, further enhancing their performance.
5. Conclusions
The optimization experiments conducted on DNA nanomachines have unequivocally demonstrated that their sensitivity can be significantly enhanced through the incorporation of new designs and additional elements. This breakthrough paves the way for the potential utilization of these advanced constructions as highly efficient point-of-care diagnostics in the future.
Author Contributions
Conceptualization, M.K. and V.K.; methodology, M.R., validation, M.K., V.K. and M.R.; data curation, M.R.; writing—original draft preparation, M.K., writing—review and editing, M.R.; visualization, V.K.; supervision, M.R.; project administration, M.R. All authors have read and agreed to the published version of the manuscript.
Funding
This research was funded by Russian Scientific Foundation grant number 22-24-00664.
Institutional Review Board Statement
Not applicable.
Informed Consent Statement
Not applicable.
Data Availability Statement
The raw data are available upon request.
Conflicts of Interest
The authors declare no conflict of interest.
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