Yuk Ji Soo, Shin Seung Won, Chun Sang Hun, Ku Bo Mi, Choi Yu Jeong, Lim Yong Taik, Luo Dan, Ahn Myung-Ju, Um Soong Ho
School of Chemical Engineering, Sungkyunkwan University, Suwon, Gyeonggi-do, 16419, South Korea.
Division of Hematology-Oncology, Department of Medicine, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, 06351, South Korea.
Adv Biosyst. 2019 Jul;3(7):e1900013. doi: 10.1002/adbi.201900013. Epub 2019 Jun 13.
RNA biomarkers have been recently reported to be associated tightly with the diagnosis and prognosis of many diseases. Particularly, cancers considered to be a serious threat to primates are known to be vastly dominated by genetic networks where RNA plays a key role. RNAs are thus recognized as a major target group that can be used for numerous cancer treatments and it is still required to identify and enumerate them in an effective manner. Here, a new topological transformation-based nanobarcoding technique (TNT) is first reported using fluorescence-DNA barcodes engaged with graphene oxide (GO ) for effectively discriminating short RNAs such as miRNAs and their single nucleotide polyporphisms in tissue and plasma. Through topological transformation into 3D DNA-RNA polygonal structures, various kinds of microRNAs have been read at the same time and analyzed quantitatively. Also, it positively discerned epidermal growth factor receptor (EGFR) mutations known as single base variations of typical lung cancer specific RNAs. A single variant of 0.785% in target EGFR mutations is explicitly detected. It is speculated that the TNT may be a versatile method for polymerase chain reaction (PCR)-free practical diagnosis of several clinical genetic deviations such as significant biotic RNA and genic fragments and would be a promising alternative to conventional PCR terrains.
最近有报道称，RNA生物标志物与许多疾病的诊断和预后密切相关。特别是，癌症被认为是对灵长类动物的严重威胁，已知其在很大程度上由RNA发挥关键作用的基因网络主导。因此，RNA被认为是可用于多种癌症治疗的主要靶标群体，仍然需要以有效的方式识别和列举它们。在此，首次报道了一种基于拓扑变换的新型纳米条形码技术（TNT），该技术使用与氧化石墨烯（GO）结合的荧光DNA条形码，用于有效区分组织和血浆中的短RNA，如miRNA及其单核苷酸多态性。通过拓扑变换为三维DNA-RNA多边形结构，可同时读取和定量分析各种微小RNA。此外，它还能准确识别作为典型肺癌特异性RNA单碱基变异的表皮生长因子受体（EGFR）突变。明确检测到目标EGFR突变中0.785%的单一变异。据推测，TNT可能是一种用于对几种临床基因偏差（如重要的生物RNA和基因片段）进行无聚合酶链反应（PCR）实际诊断的通用方法，并且将成为传统PCR领域的有前途的替代方法。
