Literature DB >> 14544807

Reverse transcription-polymerase chain reaction: an overview of the technique and its applications.

N W Ohan1, J J Heikkila.   

Abstract

The polymerase chain reaction (PCR) has galvanized molecular biologists by virtue of its ability to provide them with large quantities of any desired fragment (up to 11kb) of DNA. This power combined with its flexibility has also inspired many useful applications, including new methods of DNA sequencing, cloning and mutagenesis. One logical variation of PCR has been its application to the detection and analysis of messenger RNA by the addition of a reverse transcription step prior to performing PCR. Due to the exquisite sensitivity of PCR, reverse transcription-PCR (RT-PCR) has been used to characterize mRNAs previously undetectable by established methods of RNA analysis such as Northern hybridization and RNase protection assays. Furthermore, its capacity as a method of quantitative analysis is currently being developed. RT-PCR has also been used to diagnose the presence of certain diseases. Recently, RT-PCR has been employed to identify and isolate genes that are differentially expressed in different cells or environmental conditions.

Year:  1993        PMID: 14544807     DOI: 10.1016/0734-9750(93)90408-f

Source DB:  PubMed          Journal:  Biotechnol Adv        ISSN: 0734-9750            Impact factor:   14.227


  5 in total

Review 1.  Detection and quantification of gene expression in environmental bacteriology.

Authors:  Freddie H Sharkey; Ibrahim M Banat; Roger Marchant
Journal:  Appl Environ Microbiol       Date:  2004-07       Impact factor: 4.792

2.  A simple procedure for optimising the polymerase chain reaction (PCR) using modified Taguchi methods.

Authors:  B D Cobb; J M Clarkson
Journal:  Nucleic Acids Res       Date:  1994-09-11       Impact factor: 16.971

3.  High-Throughput Sequencing Facilitates Discovery of New Plant Viruses in Poland.

Authors:  Julia Minicka; Aleksandra Zarzyńska-Nowak; Daria Budzyńska; Natasza Borodynko-Filas; Beata Hasiów-Jaroszewska
Journal:  Plants (Basel)       Date:  2020-06-29

Review 4.  Label-Free Electrochemical Biosensors for the Determination of Flaviviruses: Dengue, Zika, and Japanese Encephalitis.

Authors:  Ekaterina Khristunova; Elena Dorozhko; Elena Korotkova; Bohumil Kratochvil; Vlastimil Vyskocil; Jiri Barek
Journal:  Sensors (Basel)       Date:  2020-08-16       Impact factor: 3.576

5.  Using Machine Learning Approaches to Predict Target Gene Expression in Rice T-DNA Insertional Mutants.

Authors:  Ching-Hsuan Chien; Lan-Ying Huang; Shuen-Fang Lo; Liang-Jwu Chen; Chi-Chou Liao; Jia-Jyun Chen; Yen-Wei Chu
Journal:  Front Genet       Date:  2021-12-17       Impact factor: 4.599

  5 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.