Literature DB >> 16109794

The power of real-time PCR.

Mark A Valasek1, Joyce J Repa.   

Abstract

In recent years, real-time polymerase chain reaction (PCR) has emerged as a robust and widely used methodology for biological investigation because it can detect and quantify very small amounts of specific nucleic acid sequences. As a research tool, a major application of this technology is the rapid and accurate assessment of changes in gene expression as a result of physiology, pathophysiology, or development. This method can be applied to model systems to measure responses to experimental stimuli and to gain insight into potential changes in protein level and function. Thus physiology can be correlated with molecular events to gain a better understanding of biological processes. For clinical molecular diagnostics, real-time PCR can be used to measure viral or bacterial loads or evaluate cancer status. Here, we discuss the basic concepts, chemistries, and instrumentation of real-time PCR and include present applications and future perspectives for this technology in biomedical sciences and in life science education.

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Year:  2005        PMID: 16109794     DOI: 10.1152/advan.00019.2005

Source DB:  PubMed          Journal:  Adv Physiol Educ        ISSN: 1043-4046            Impact factor:   2.288


  116 in total

1.  Novel application of Locked Nucleic Acid chemistry for a Taqman assay for measuring diverse human immunodeficiency virus type 1 subtypes.

Authors:  Peilin Li; Theodore Ruel; Katsuya Fujimoto; Hiroyu Hatano; Steven Yukl; Leigh Anne Eller; Teri Liegler; Moses Kamya; Anne Gassasira; Grant Dorsey; Philip J Rosenthal; Diane V Havlir; Joseph K Wong
Journal:  J Virol Methods       Date:  2010-09-21       Impact factor: 2.014

2.  Multiple mechanisms limit the accumulation of unesterified cholesterol in the small intestine of mice deficient in both ACAT2 and ABCA1.

Authors:  Stephen D Turley; Mark A Valasek; Joyce J Repa; John M Dietschy
Journal:  Am J Physiol Gastrointest Liver Physiol       Date:  2010-08-19       Impact factor: 4.052

3.  One community's effort to control genetic disease.

Authors:  Kevin A Strauss; Erik G Puffenberger; D Holmes Morton
Journal:  Am J Public Health       Date:  2012-05-17       Impact factor: 9.308

4.  Quantitative role of LAL, NPC2, and NPC1 in lysosomal cholesterol processing defined by genetic and pharmacological manipulations.

Authors:  Charina M Ramirez; Benny Liu; Amal Aqul; Anna M Taylor; Joyce J Repa; Stephen D Turley; John M Dietschy
Journal:  J Lipid Res       Date:  2011-02-02       Impact factor: 5.922

5.  Transcriptional responses of Italian ryegrass during interaction with Xanthomonas translucens pv. graminis reveal novel candidate genes for bacterial wilt resistance.

Authors:  Fabienne Wichmann; Torben Asp; Franco Widmer; Roland Kölliker
Journal:  Theor Appl Genet       Date:  2010-10-26       Impact factor: 5.699

6.  Simultaneous digital quantification and fluorescence-based size characterization of massively parallel sequencing libraries.

Authors:  Matthew T Laurie; Jessica A Bertout; Sean D Taylor; Joshua N Burton; Jay A Shendure; Jason H Bielas
Journal:  Biotechniques       Date:  2013-08       Impact factor: 1.993

7.  A T cell gene expression panel for the diagnosis and monitoring of disease activity in patients with systemic lupus erythematosus.

Authors:  Alexandros P Grammatikos; Vasileios C Kyttaris; Katalin Kis-Toth; Lisa M Fitzgerald; Amy Devlin; Michele D Finnell; George C Tsokos
Journal:  Clin Immunol       Date:  2013-12-16       Impact factor: 3.969

8.  GM2/GD2 and GM3 gangliosides have no effect on cellular cholesterol pools or turnover in normal or NPC1 mice.

Authors:  Hao Li; Stephen D Turley; Benny Liu; Joyce J Repa; John M Dietschy
Journal:  J Lipid Res       Date:  2008-04-30       Impact factor: 5.922

9.  Research resource: nuclear hormone receptor expression in the endocrine pancreas.

Authors:  Jen-Chieh Chuang; Ji-Young Cha; James C Garmey; Raghavendra G Mirmira; Joyce J Repa
Journal:  Mol Endocrinol       Date:  2008-07-31

10.  Reference genes for quantitative analysis on Clonorchis sinensis gene expression by real-time PCR.

Authors:  Won Gi Yoo; Tae Im Kim; Shunyu Li; Oh Sil Kwon; Pyo Yun Cho; Tong-Soo Kim; Kijeong Kim; Sung-Jong Hong
Journal:  Parasitol Res       Date:  2008-09-25       Impact factor: 2.289

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