Programmable Cell-Free Transcriptional Switches for Antibody Detection
- PMID: 35316049
- PMCID: PMC8990998
- DOI: 10.1021/jacs.1c11706
Programmable Cell-Free Transcriptional Switches for Antibody Detection
Abstract
We report here the development of a cell-free in vitro transcription system for the detection of specific target antibodies. The approach is based on the use of programmable antigen-conjugated DNA-based conformational switches that, upon binding to a target antibody, can trigger the cell-free transcription of a light-up fluorescence-activating RNA aptamer. The system couples the unique programmability and responsiveness of DNA-based systems with the specificity and sensitivity offered by in vitro genetic circuitries and commercially available transcription kits. We demonstrate that cell-free transcriptional switches can efficiently measure antibody levels directly in blood serum. Thanks to the programmable nature of the sensing platform, the method can be adapted to different antibodies: we demonstrate here the sensitive, rapid, and cost-effective detection of three different antibodies and the possible use of this approach for the simultaneous detection of two antibodies in the same solution.
Conflict of interest statement
The authors declare no competing financial interest.
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References
-
- Li Z.; Yi Y.; Luo X.; Xiong N.; Liu Y.; Li S.; Sun R.; Wang Y.; Hu B.; Chen W.; Zhang Y.; Wang J.; Huang B.; Lin Y.; Yang J.; Cai W.; Wang X.; Cheng J.; Chen Z.; Sun K.; Pan W.; Zhan Z.; Chen L.; Ye F. Development and Clinical Application of a Rapid IgM-IgG Combined Antibody Test for SARS-CoV-2 Infection Diagnosis. J. Med. Virol. 2020, 92, 1518–1524. 10.1002/jmv.25727. - DOI - PMC - PubMed
-
- Pardee K.; Green A. A.; Takahashi M. K.; Braff D.; Lambert G.; Lee J. W.; Ferrante T.; Ma D.; Donghia N.; Fan M.; Daringer N. M.; Bosch I.; Dudley D. M.; O’Connor D. H.; Gehrke L.; Collins J. J. Rapid, Low-Cost Detection of Zika Virus Using Programmable Biomolecular Components. Cell 2016, 165, 1255–1266. 10.1016/j.cell.2016.04.059. - DOI - PubMed
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