<HashMap><database>biostudies-literature</database><scores/><additional><submitter>Ma CC</submitter><funding>The Innovation and Technology Commission</funding><funding>Innovation and Technology Commission</funding><pagination>7036</pagination><full_dataset_link>https://www.ebi.ac.uk/biostudies/studies/S-EPMC9609701</full_dataset_link><repository>biostudies-literature</repository><omics_type>Unknown</omics_type><volume>27(20)</volume><pubmed_abstract>Genetic mutations can cause life-threatening diseases such as cancers and sickle cell anemia. Gene detection is thus of importance for disease-risk prediction or early diagnosis and treatment. Apart from genetic defects, gene detection techniques can also be applied to gene-related diseases with high risk to human health such as human papillomavirus (HPV) infection. HPV infection has been strongly linked to cervical cancer. To achieve a high-throughput HPV gene detection platform, the flow-through hybridization system appears to be one of the commercialized diagnostic techniques for this purpose. The flow-through hybridization technique is based on a vacuum-guided flow of DNA fragments which is continuously directed toward the oligoprobes that are immobilized on the testing membrane. However, the conventional colorimetric method and signal read-out approach suffers a problem of low sensitivity. On the contrary, fluorescence approaches allow more sensitive detection and broad sensing ranges. In this work, a fluorescent dye HCAP, which possesses aggregation-induced emission (AIE) properties and is responsive to alkaline phosphatase, was developed and applied to the flow-through hybridization platform to achieve HPV genome diagnosis of clinical samples. Also, an automatic membrane reader was constructed based on the AIE-based diagnosis platform which can identify the diagnostic result of patient DNA with a total concordance rate of 100% in the clinical trial.</pubmed_abstract><journal>Molecules (Basel, Switzerland)</journal><pubmed_title>Development of an HPV Genotype Detection Platform Based on Aggregation-Induced Emission (AIE) and Flow-Through Hybridization Technologies.</pubmed_title><pmcid>PMC9609701</pmcid><funding_grant_id>ITC-CNERC14SC01</funding_grant_id><funding_grant_id>ITS/301/18FX and ITC-CNERC14SC01</funding_grant_id><funding_grant_id>ITS/301/18FX</funding_grant_id><pubmed_authors>Lin P</pubmed_authors><pubmed_authors>Kun TT</pubmed_authors><pubmed_authors>Cai S</pubmed_authors><pubmed_authors>Ma CC</pubmed_authors><pubmed_authors>Lam WK</pubmed_authors><pubmed_authors>Kwok TR</pubmed_authors><pubmed_authors>Xie L</pubmed_authors><pubmed_authors>Lee TR</pubmed_authors><pubmed_authors>Tang BZ</pubmed_authors><pubmed_authors>Li L</pubmed_authors></additional><is_claimable>false</is_claimable><name>Development of an HPV Genotype Detection Platform Based on Aggregation-Induced Emission (AIE) and Flow-Through Hybridization Technologies.</name><description>Genetic mutations can cause life-threatening diseases such as cancers and sickle cell anemia. Gene detection is thus of importance for disease-risk prediction or early diagnosis and treatment. Apart from genetic defects, gene detection techniques can also be applied to gene-related diseases with high risk to human health such as human papillomavirus (HPV) infection. HPV infection has been strongly linked to cervical cancer. To achieve a high-throughput HPV gene detection platform, the flow-through hybridization system appears to be one of the commercialized diagnostic techniques for this purpose. The flow-through hybridization technique is based on a vacuum-guided flow of DNA fragments which is continuously directed toward the oligoprobes that are immobilized on the testing membrane. However, the conventional colorimetric method and signal read-out approach suffers a problem of low sensitivity. On the contrary, fluorescence approaches allow more sensitive detection and broad sensing ranges. In this work, a fluorescent dye HCAP, which possesses aggregation-induced emission (AIE) properties and is responsive to alkaline phosphatase, was developed and applied to the flow-through hybridization platform to achieve HPV genome diagnosis of clinical samples. Also, an automatic membrane reader was constructed based on the AIE-based diagnosis platform which can identify the diagnostic result of patient DNA with a total concordance rate of 100% in the clinical trial.</description><dates><release>2022-01-01T00:00:00Z</release><publication>2022 Oct</publication><modification>2025-04-18T21:23:01.156Z</modification><creation>2024-12-03T15:39:09.807Z</creation></dates><accession>S-EPMC9609701</accession><cross_references><pubmed>36296629</pubmed><doi>10.3390/molecules27207036</doi></cross_references></HashMap>