Literature DB >> 21943894

Quantitative real-time PCR-based analysis of gene expression.

J Jozefczuk1, James Adjaye.   

Abstract

Quantitative real-time polymerase chain reaction (QRT-PCR) has become an extensively applied technique. It enables quantitative analyses of gene expression applicable to basic molecular biology, medicine, and diagnostics. Nowadays, it is broadly used to describe messenger RNA (mRNA) expression patterns and to compare the relative levels of mRNA within distinct biological samples. The scope of the QRT-PCR technique makes it applicable across a wide range of experimental conditions and allows experimental comparison between normal and abnormal tissue. Most importantly, this technique enables additional independent confirmation of microarray or next generation sequencing (NGS)-based results. An inherent advantage of QRT-PCR is the large dynamic range, remarkable sensitivity, and sequence-specificity. We provide a detailed step by step guide to the principles underlying a successful QRT-PCR experiment.
Copyright © 2011 Elsevier Inc. All rights reserved.

Mesh:

Substances:

Year:  2011        PMID: 21943894     DOI: 10.1016/B978-0-12-385118-5.00006-2

Source DB:  PubMed          Journal:  Methods Enzymol        ISSN: 0076-6879            Impact factor:   1.600


  24 in total

1.  Comparative transcriptome analysis of different chemotypes elucidates withanolide biosynthesis pathway from medicinal plant Withania somnifera.

Authors:  Parul Gupta; Ridhi Goel; Aditya Vikram Agarwal; Mehar Hasan Asif; Neelam Singh Sangwan; Rajender Singh Sangwan; Prabodh Kumar Trivedi
Journal:  Sci Rep       Date:  2015-12-21       Impact factor: 4.379

Review 2.  Comprehensive molecular screening: from the RT-PCR to the RNA-seq.

Authors:  Carlota Costa; Ana Giménez-Capitán; Niki Karachaliou; Rafael Rosell
Journal:  Transl Lung Cancer Res       Date:  2013-04

3.  Transcriptional Profiles Analysis of COVID-19 and Malaria Patients Reveals Potential Biomarkers in Children.

Authors:  Nzungize Lambert; Jonas A Kengne-Ouafo; WesongaMakokha Rissy; Umuhoza Diane; Ken Murithi; Peter Kimani; Olaitan I Awe; Allissa Dillman
Journal:  bioRxiv       Date:  2022-07-01

4.  Evolution of Substrates and Components of the Pro/N-Degron Pathway.

Authors:  Shun-Jia Chen; Artem Melnykov; Alexander Varshavsky
Journal:  Biochemistry       Date:  2020-01-02       Impact factor: 3.162

5.  Investigation of the changes in the expression levels of MOZ gene in colorectal cancer tissues.

Authors:  Kiyanoush Mohammadi; Reza Safaralizadeh; Mohammadali Hosseinpour-Feizi; Narges Dastmalchi; Yaghoub Moaddab
Journal:  J Gastrointest Oncol       Date:  2019-02

6.  Research and experimental verification of the molecular mechanism of berberine in improving premature ovarian failure based on network pharmacology.

Authors:  Wu Xue; Fan Xue; Tao Jia; Ai Hao
Journal:  Bioengineered       Date:  2022-04       Impact factor: 6.832

7.  Biomedical techniques in translational studies: The journey so far.

Authors:  Imran Haruna Abdulkareem
Journal:  Niger Med J       Date:  2014-03

8.  Copy number variation analysis by ligation-dependent PCR based on magnetic nanoparticles and chemiluminescence.

Authors:  Ming Liu; Ping Hu; Gen Zhang; Yu Zeng; Haowen Yang; Jing Fan; Lian Jin; Hongna Liu; Yan Deng; Song Li; Xin Zeng; Sauli Elingarami; Nongyue He
Journal:  Theranostics       Date:  2015-01-01       Impact factor: 11.556

9.  Comparative transcriptome analysis of unripe and mid-ripe fruit of Mangifera indica (var. "Dashehari") unravels ripening associated genes.

Authors:  Smriti Srivastava; Rajesh K Singh; Garima Pathak; Ridhi Goel; Mehar Hasan Asif; Aniruddha P Sane; Vidhu A Sane
Journal:  Sci Rep       Date:  2016-09-02       Impact factor: 4.379

10.  De novo sequencing, assembly and characterisation of Aloe vera transcriptome and analysis of expression profiles of genes related to saponin and anthraquinone metabolism.

Authors:  Pragati Choudhri; Muniya Rani; Rajender S Sangwan; Ravinder Kumar; Anil Kumar; Vinod Chhokar
Journal:  BMC Genomics       Date:  2018-06-01       Impact factor: 3.969

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.