{"title":"癌症生物标记物 microRNA-29a (miR-29a) 和 microRNA-144 (miR-144) 的混合物如何与石墨烯量子点相互作用","authors":"Darunee Traiphothon , Tadsanee Awang , Nattapon Kuntip , Deanpen Japrung , Prapasiri Pongprayoon","doi":"10.1016/j.jmgm.2024.108881","DOIUrl":null,"url":null,"abstract":"<div><div>MicroRNAs (miRNAs) which are small non-coding RNAs have been reported to be potential cancer biomarker. However, it is difficult to extract such short RNA from a sample matrix. New effective strategies are required. Recently, graphene quantum dots (GQDs) have been used to detect nucleotides in many biosensor platforms, but their applications for miRNA extraction remain limited. GQD was reported to be able to collect short miRNA, but its performance to collect miRNAs with different structure remains unknown. Thus, in this work, the capability of GQD to interact with two different miRNAs is investigated. A mixture of hairpin-like miR-29a and circular miR-144 molecules are used as a representative of two miRNA morphologies. Two systems (a miRNA mixture, comprising 4 of miR-29a and 4 of miR-144, with (miR_GQD) and without GQD (miR)) were studied in comparison. MiRNAs in a mixture (miR) can aggregate, but no permanent miRNA assembly is captured. In contrast, the presence of GQD can rapidly and spontaneously activate the permanent miRNA/GQD clustering. This finding highlights the ability of GQD to be a miRNA collector. Interestingly, all GQD-bound miRNAs do not unfold. This allows the easy accessibility for probes. Also, nano-sized GQD seems to prefer hairpin miR-29a. The free 5’ terminus of miR-29a acts as the sticky end to adhere on GQD. This work highlights the importance of RNA secondary structure on GQD/miRNA aggregation capability. An insight obtained here will be useful for further design of miRNA isolation strategies.</div></div>","PeriodicalId":16361,"journal":{"name":"Journal of molecular graphics & modelling","volume":"134 ","pages":"Article 108881"},"PeriodicalIF":2.7000,"publicationDate":"2024-10-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"How a mixture of microRNA-29a (miR-29a) and microRNA-144 (miR-144) cancer biomarkers interacts with a graphene quantum dot\",\"authors\":\"Darunee Traiphothon , Tadsanee Awang , Nattapon Kuntip , Deanpen Japrung , Prapasiri Pongprayoon\",\"doi\":\"10.1016/j.jmgm.2024.108881\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><div>MicroRNAs (miRNAs) which are small non-coding RNAs have been reported to be potential cancer biomarker. However, it is difficult to extract such short RNA from a sample matrix. New effective strategies are required. Recently, graphene quantum dots (GQDs) have been used to detect nucleotides in many biosensor platforms, but their applications for miRNA extraction remain limited. GQD was reported to be able to collect short miRNA, but its performance to collect miRNAs with different structure remains unknown. Thus, in this work, the capability of GQD to interact with two different miRNAs is investigated. A mixture of hairpin-like miR-29a and circular miR-144 molecules are used as a representative of two miRNA morphologies. Two systems (a miRNA mixture, comprising 4 of miR-29a and 4 of miR-144, with (miR_GQD) and without GQD (miR)) were studied in comparison. MiRNAs in a mixture (miR) can aggregate, but no permanent miRNA assembly is captured. In contrast, the presence of GQD can rapidly and spontaneously activate the permanent miRNA/GQD clustering. This finding highlights the ability of GQD to be a miRNA collector. Interestingly, all GQD-bound miRNAs do not unfold. This allows the easy accessibility for probes. Also, nano-sized GQD seems to prefer hairpin miR-29a. The free 5’ terminus of miR-29a acts as the sticky end to adhere on GQD. This work highlights the importance of RNA secondary structure on GQD/miRNA aggregation capability. An insight obtained here will be useful for further design of miRNA isolation strategies.</div></div>\",\"PeriodicalId\":16361,\"journal\":{\"name\":\"Journal of molecular graphics & modelling\",\"volume\":\"134 \",\"pages\":\"Article 108881\"},\"PeriodicalIF\":2.7000,\"publicationDate\":\"2024-10-12\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Journal of molecular graphics & modelling\",\"FirstCategoryId\":\"99\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S1093326324001815\",\"RegionNum\":4,\"RegionCategory\":\"生物学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"BIOCHEMICAL RESEARCH METHODS\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of molecular graphics & modelling","FirstCategoryId":"99","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S1093326324001815","RegionNum":4,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"BIOCHEMICAL RESEARCH METHODS","Score":null,"Total":0}
How a mixture of microRNA-29a (miR-29a) and microRNA-144 (miR-144) cancer biomarkers interacts with a graphene quantum dot
MicroRNAs (miRNAs) which are small non-coding RNAs have been reported to be potential cancer biomarker. However, it is difficult to extract such short RNA from a sample matrix. New effective strategies are required. Recently, graphene quantum dots (GQDs) have been used to detect nucleotides in many biosensor platforms, but their applications for miRNA extraction remain limited. GQD was reported to be able to collect short miRNA, but its performance to collect miRNAs with different structure remains unknown. Thus, in this work, the capability of GQD to interact with two different miRNAs is investigated. A mixture of hairpin-like miR-29a and circular miR-144 molecules are used as a representative of two miRNA morphologies. Two systems (a miRNA mixture, comprising 4 of miR-29a and 4 of miR-144, with (miR_GQD) and without GQD (miR)) were studied in comparison. MiRNAs in a mixture (miR) can aggregate, but no permanent miRNA assembly is captured. In contrast, the presence of GQD can rapidly and spontaneously activate the permanent miRNA/GQD clustering. This finding highlights the ability of GQD to be a miRNA collector. Interestingly, all GQD-bound miRNAs do not unfold. This allows the easy accessibility for probes. Also, nano-sized GQD seems to prefer hairpin miR-29a. The free 5’ terminus of miR-29a acts as the sticky end to adhere on GQD. This work highlights the importance of RNA secondary structure on GQD/miRNA aggregation capability. An insight obtained here will be useful for further design of miRNA isolation strategies.
期刊介绍:
The Journal of Molecular Graphics and Modelling is devoted to the publication of papers on the uses of computers in theoretical investigations of molecular structure, function, interaction, and design. The scope of the journal includes all aspects of molecular modeling and computational chemistry, including, for instance, the study of molecular shape and properties, molecular simulations, protein and polymer engineering, drug design, materials design, structure-activity and structure-property relationships, database mining, and compound library design.
As a primary research journal, JMGM seeks to bring new knowledge to the attention of our readers. As such, submissions to the journal need to not only report results, but must draw conclusions and explore implications of the work presented. Authors are strongly encouraged to bear this in mind when preparing manuscripts. Routine applications of standard modelling approaches, providing only very limited new scientific insight, will not meet our criteria for publication. Reproducibility of reported calculations is an important issue. Wherever possible, we urge authors to enhance their papers with Supplementary Data, for example, in QSAR studies machine-readable versions of molecular datasets or in the development of new force-field parameters versions of the topology and force field parameter files. Routine applications of existing methods that do not lead to genuinely new insight will not be considered.