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https://scholarbank.nus.edu.sg/handle/10635/15888
DC Field | Value | |
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dc.title | Carbon nanotubes and branched-DNA based nucleic acid assays: Towards a PCR-free detection and quantification of nucleic acids | |
dc.contributor.author | LEE AI CHENG | |
dc.date.accessioned | 2010-04-08T10:58:32Z | |
dc.date.available | 2010-04-08T10:58:32Z | |
dc.date.issued | 2009-05-22 | |
dc.identifier.citation | LEE AI CHENG (2009-05-22). Carbon nanotubes and branched-DNA based nucleic acid assays: Towards a PCR-free detection and quantification of nucleic acids. ScholarBank@NUS Repository. | |
dc.identifier.uri | http://scholarbank.nus.edu.sg/handle/10635/15888 | |
dc.description.abstract | This research is directed towards the development of PCR-free ultrasensitive nucleic acids detection based on signal amplification approach. The solution holds promise for simple and low cost nucleic acids detection in portable devices, point-of-care and early disease diagnostic applications. Two types of nucleic acid assays based on novel carbon nanotube (CNT)-based label and branched-DNA (bDNA) amplifier were developed for the detection of a human acute lymphocytic leukaemia (ALL) oncogene, namely, p185 BCR-ABL fusion transcript. These assays have been successfully validated for PCR-free detection and quantification of p185 BCR-ABL in the samples of mRNA population extracted from positive ALL cell line SUP-B15, in comparison to those obtained from negative cell lines HL-60. Without the PCR amplification, the electrochemical nucleic acids assays utilizing CNT-based label and bDNA amplifier enabled direct detection of p185 BCR-ABL in as little as 65 ng and 4.6 ng of mRNA, respectively. | |
dc.language.iso | en | |
dc.subject | CNT PCR Branched-DNA BCR-ABL Biosensor Electrochemical | |
dc.type | Thesis | |
dc.contributor.department | BIOLOGICAL SCIENCES | |
dc.contributor.supervisor | LIM TIT MENG | |
dc.contributor.supervisor | HENG CHEW KIAT | |
dc.description.degree | Ph.D | |
dc.description.degreeconferred | DOCTOR OF PHILOSOPHY | |
dc.identifier.isiut | NOT_IN_WOS | |
Appears in Collections: | Ph.D Theses (Open) |
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LeeAC.pdf | 1.32 MB | Adobe PDF | OPEN | None | View/Download |
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