Compute-and-Release Logic-Gated DNA Cascade Circuit for Accurate Cancer Cell Imaging.
Qiqi ChaoYuxi ZhangQian LiLuzhen JiaoXufeng SunXuxu ChenLina ZhuQian YangChengwen ShangRong-Mei KongGao-Chao FanZhi-Ling SongXi-Liang LuoPublished in: Analytical chemistry (2023)
Accurate identification of cancer cells is an essential prerequisite for cancer diagnosis and subsequent effective curative interventions. The logic-gate-assisted cancer imaging system that allows a comparison of expression levels between biomarkers, rather than just reading biomarkers as inputs, returns a more comprehensive logical output, improving its accuracy for cell identification. To fulfill this key criterion, we develop a compute-and-release logic-gated double-amplified DNA cascade circuit. This novel system, CAR-CHA-HCR, consists of a compute-and-release (CAR) logic gate, a double-amplified DNA cascade circuit (termed CHA-HCR), and a MnO 2 nanocarrier. CAR-CHA-HCR, a novel adaptive logic system, is designed to logically output the fluorescence signals after computing the expression levels of intracellular miR-21 and miR-892b. Only when miR-21 is present and its expression level is above the threshold C miR-21 > C miR-892b , the CAR-CHA-HCR circuit performs a compute-and-release operation on free miR-21, thereby outputting enhanced fluorescence signals to accurately image positive cells. It is capable of comparing the relative concentrations of two biomarkers while sensing them, thus allowing accurate identification of positive cancer cells, even in mixed cell populations. Such an intelligent system provides an avenue for highly accurate cancer imaging and is potentially envisioned to perform more complex tasks in biomedical studies.
Keyphrases
- high resolution
- long non coding rna
- poor prognosis
- cell proliferation
- papillary thyroid
- single molecule
- long noncoding rna
- circulating tumor
- squamous cell
- single cell
- induced apoptosis
- cell therapy
- drug delivery
- squamous cell carcinoma
- binding protein
- stem cells
- physical activity
- lymph node metastasis
- machine learning
- photodynamic therapy
- energy transfer
- bone marrow
- fluorescence imaging
- deep learning