AI Article Synopsis
- Scientists are using synthetic biology to create special gene networks that can perform different tasks in living things.
- A new method called SRPL-TraCs helps improve how these gene circuits work by making them better at detecting small amounts of signals or targets, like viruses.
- This new technique is very good at finding specific things, like HIV-1 DNA, and it might also be useful for detecting other important targets in the future.
Article Abstract
The synthetic biology has employed the synthetic gene networks through engineering to construct various functions in biological systems. However, the use of gene circuits to create sensors for detecting low-abundance targets has been limited due to the lack of signal amplification strategies beyond direct output of detection signals. To address this issue, we introduce a novel method utilizing Selective Recognition Proximity Ligation and signal amplification with T7 Transcription and CRISPR/Cas12a system (SRPL-TraCs), which permits the incorporation of cell-free gene circuits with signal amplification and enables the construction of high-order cascade signal amplification strategy to detect biomarkers in homogeneous systems. Specifically, the SRPL-TraCs utilizes selective recognition proximity ligation with high-fidelity T4 DNA ligase and generates a unique crRNA via T7 transcription, along with target-activated Cas12a/crRNA system to achieve excellent specificity for HIV-1 DNA. With this straightforward synthetic biology-based method, the proposed SRPL-TraCs has the potential to detect numerous other interesting targets beyond the nucleic acids.
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| http://dx.doi.org/10.1016/j.aca.2023.341881 | DOI Listing |
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