Ultra-stable threose nucleic acid-based biosensors for rapid and sensitive nucleic acid detection and in vivo imaging

The human genome's nucleotide sequence variation, such as single nucleotide mutations, can cause numerous genetic diseases. However, detecting nucleic acids accurately and rapidly in complex biological samples remains a major challenge. While natural deoxyribonucleic acid (DNA) has been used as biorecognition probes, it has limitations like poor specificity, reproducibility, nuclease-induced enzymatic degradation, and reduced bioactivity on solid surfaces. To address these issues, we introduce a stable and reliable biosensor called graphene oxide (GO)- threose nucleic acid (TNA). It comprises chemically modified TNA capture probes on GO for detecting and imaging target nucleic acids in vitro and in vivo, distinguishing single nucleobase mismatches, and monitoring dynamic changes in target microRNA (miRNA). By loading TNA capture probes onto the GO substrate, the GO-TNA sensing platform for nucleic acid detection demonstrates a significant 88-fold improvement in the detection limit compared to TNA probes alone. This platform offers a straightforward preparation method without the need for costly and labor-intensive isolation procedures or complex chemical reactions, enabling real-time analysis. The stable TNA-based GO sensing nanoplatform holds promise for disease diagnosis, enabling rapid and accurate detection and imaging of various disease-related nucleic acid molecules at the in vivo level. STATEMENT OF SIGNIFICANCE: The study's significance lies in the development of the GO-TNA biosensor, which addresses limitations in nucleic acid detection. By utilizing chemically modified nucleic acid analogues, the biosensor offers improved reliability and specificity, distinguishing single nucleobase mismatches and avoiding false signals. Additionally, its ability to detect and image target nucleic acids in vivo facilitates studying disease mechanisms. The simplified preparation process enhances practicality and accessibility, enabling real-time analysis. The biosensor's potential applications extend beyond healthcare, contributing to environmental analysis and food safety. Overall, this study's findings have substantial implications for disease diagnosis, biomedical research, and diverse applications, advancing nucleic acid detection and its impact on various fields.