Development Of Multiplex Real-Time Reverse Transcription Pcr (qRT-PCR) Assay For Detection And Subtyping Of Avian Influenza Virus

Avian flu is a serious disease that always give rise to devastated consequences in poultry industry. This disease is caused by influenza A virus bird’s strain. The genome of avian strain of influenza A virus (AIV) exhibits high mutation rate by means of antigenic drift and shift, leading to the emer...

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主要作者: Yee, May Ye
格式: Thesis
语言:English
出版: 2020
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spelling my-usm-ep.520882022-05-26T04:48:05Z Development Of Multiplex Real-Time Reverse Transcription Pcr (qRT-PCR) Assay For Detection And Subtyping Of Avian Influenza Virus 2020-11 Yee, May Ye R735-854 Medical education. Medical schools. Research Avian flu is a serious disease that always give rise to devastated consequences in poultry industry. This disease is caused by influenza A virus bird’s strain. The genome of avian strain of influenza A virus (AIV) exhibits high mutation rate by means of antigenic drift and shift, leading to the emergence of historic pandemics and epidemics. The first line of defence against avian influenza relies on rapid diagnosis. Current singleplex real-time RT-PCR (qRT-PCR) assay is not cost effective and internal control is not included. In this study, an in-house, two-stage multiplex qRT-PCR assay was developed for simultaneous detection and subtyping of H5, H7 and H9 subtype of AIV, the three most common subtypes isolated from poultry. 2020-11 Thesis http://eprints.usm.my/52088/ http://eprints.usm.my/52088/1/Pages%20from%20Development%20Of%20Multiplex%20Real-Time%20Reverse%20Transcription%20Pcr%20%28qRT-PCR%29.pdf application/pdf en public masters Universiti Sains Malaysia Institut Penyelidikan Perubatan Molekul
institution Universiti Sains Malaysia
collection USM Institutional Repository
language English
topic R735-854 Medical education
Medical schools
Research
spellingShingle R735-854 Medical education
Medical schools
Research
Yee, May Ye
Development Of Multiplex Real-Time Reverse Transcription Pcr (qRT-PCR) Assay For Detection And Subtyping Of Avian Influenza Virus
description Avian flu is a serious disease that always give rise to devastated consequences in poultry industry. This disease is caused by influenza A virus bird’s strain. The genome of avian strain of influenza A virus (AIV) exhibits high mutation rate by means of antigenic drift and shift, leading to the emergence of historic pandemics and epidemics. The first line of defence against avian influenza relies on rapid diagnosis. Current singleplex real-time RT-PCR (qRT-PCR) assay is not cost effective and internal control is not included. In this study, an in-house, two-stage multiplex qRT-PCR assay was developed for simultaneous detection and subtyping of H5, H7 and H9 subtype of AIV, the three most common subtypes isolated from poultry.
format Thesis
qualification_level Master's degree
author Yee, May Ye
author_facet Yee, May Ye
author_sort Yee, May Ye
title Development Of Multiplex Real-Time Reverse Transcription Pcr (qRT-PCR) Assay For Detection And Subtyping Of Avian Influenza Virus
title_short Development Of Multiplex Real-Time Reverse Transcription Pcr (qRT-PCR) Assay For Detection And Subtyping Of Avian Influenza Virus
title_full Development Of Multiplex Real-Time Reverse Transcription Pcr (qRT-PCR) Assay For Detection And Subtyping Of Avian Influenza Virus
title_fullStr Development Of Multiplex Real-Time Reverse Transcription Pcr (qRT-PCR) Assay For Detection And Subtyping Of Avian Influenza Virus
title_full_unstemmed Development Of Multiplex Real-Time Reverse Transcription Pcr (qRT-PCR) Assay For Detection And Subtyping Of Avian Influenza Virus
title_sort development of multiplex real-time reverse transcription pcr (qrt-pcr) assay for detection and subtyping of avian influenza virus
granting_institution Universiti Sains Malaysia
granting_department Institut Penyelidikan Perubatan Molekul
publishDate 2020
url http://eprints.usm.my/52088/1/Pages%20from%20Development%20Of%20Multiplex%20Real-Time%20Reverse%20Transcription%20Pcr%20%28qRT-PCR%29.pdf
_version_ 1747822134394093568