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  1. Home
  2. Browse by Author

Browsing by Author "Nurul Akma Mohd Hassan"

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    Publication
    Detection and discrimination of Mycobacterium tuberculosis complex
    (Elservier, 2012)
    Rahizan Issa
    ;
    Nurul Akma Mohd Hassan
    ;
    Hatijah Abdul
    ;
    Siti Hasmah Hashim
    ;
    Valentinus H. Seradja
    ;
    Athirah Abdul Sani
    A real-time quantitative polymerase chain reaction (qPCR) was developed for detection and discrimination of Mycobacterium tuberculosis (H37Rv and H37Ra) and M. bovis bacillus Calmette–Guérin (BCG) of the Mycobacterium tuberculosis complex (MTBC) from mycobacterial other than tuberculosis (MOTT). It was based on the melting curve (Tm) analysis of the gyrB gene using SYBR® Green I detection dye and the LightCycler 1.5 system. The optimal conditions for the assay were 0.25 μmol/L of primers with 3.1 mmol/L of MgCl2 and 45 cycles of amplification. For M. tuberculosis (H37Rv and H37Ra) and M. bovis BCG of the MTBC, we detected the crossing points (Cp) at cycles of 16.96 ± 0.07, 18.02 ± 0.14, and 18.62 ± 0.09, respectively, while the Tm values were 90.19 ± 0.06 °C, 90.27 ± 0.09 °C, and 89.81 ± 0.04 °C, respectively. The assay was sensitive and rapid with a detection limit of 10 pg of the DNA template within 35 min. In this study, the Tm analysis of the qPCR assay was applied for the detection and discrimination of MTBC from MOTT.
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    High resolution melting analysis for the differentiation of Mycobacterium species
    (2014)
    Rahizan Issa
    ;
    Hatijah Abdul
    ;
    Siti Hasmah Hashim
    ;
    Valentinus H. Seradja
    ;
    Nurul ‘Aishah Shaili
    ;
    Nurul Akma Mohd Hassan
    A quantitative real-time PCR (qPCR) followed by high resolution melting (HRM) analysis was developed for the differentiation of Mycobacterium species. Rapid differentiation of Mycobacterium species is necessary for the effective diagnosis and management of tuberculosis. In this study, the 16S rRNA gene was tested as the target since this has been identified as a suitable target for the identification of mycobacteria species. During the temperature gradient and primer optimization process, the melting peak (Tm) analysis was determined at a concentration of 50 ng DNA template and 0.3, 0.4 and 0.5 mM primer. The qPCR assay for the detection of other mycobacterial species was done at the Tm and primer concentration of 62 6C and 0.4 mM, respectively. The HRM analysis generated cluster patterns that were specific and sensitive to distinguished small sequence differences of the Mycobacterium species. This study suggests that the 16S rRNA-based real-time PCR followed by HRM analysis produced unique cluster patterns for species of Mycobacterium and could differentiate the closely related mycobacteria species.
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