Literature DB >> 15220523

Quantitative determination of p16 gene expression by RT-PCR.

Sylke Schneider1, Kazumi Uchida, Dennis Salonga, Ji Min Yochim, Kathleen D Danenberg, Peter V Danenberg.   

Abstract

In recent years, gene expression quantitation of tumor cells has become of principal importance to analyze gene patterns responsible for cancer development, progression, and resistance to treatment. Whereas semi-quantitative methods, such as Northern blotting analysis, allow only a dichotomous differentiation between positive and negative gene expressions, the real-time quantitative polymerase chain reaction (qRT-PCR) combines a large range of results with an accurate and highly reproducible quantitation of genes. In addition to forward and reverse primers, as used in a conventional PCR, the qRT-PCR system utilizes a probe that is labeled with a fluorescent dye. The probe is an oligonucleotide, homologous to a DNA sequence between the two flanking PCR primers. Degradation of the probe by the activity of the Taq DNA polymerase generates a fluorescent signal that will be detected by means of a laser integrated in the sequence detector. This chapter will cover the isolation of total RNA from frozen tissue, the transcription of RNA to cDNA, and the analysis of the relative gene expression by qRT-PCR. Although in principle applicable to any gene of interest, we will use as an example the qRT-PCR analysis of p16INK4a, whose gene product is involved in cell cycle and senescence checkpoint control.

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Year:  2004        PMID: 15220523     DOI: 10.1385/1-59259-811-0:091

Source DB:  PubMed          Journal:  Methods Mol Biol        ISSN: 1064-3745


  2 in total

1.  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

2.  Multicentre phase II pharmacokinetic and pharmacodynamic study of OSI-7904L in previously untreated patients with advanced gastric or gastroesophageal junction adenocarcinoma.

Authors:  S Falk; A Anthoney; M Eatock; E Van Cutsem; J Chick; H Glen; J W Valle; D W Drolet; D Albert; D Ferry; J Ajani
Journal:  Br J Cancer       Date:  2006-08-01       Impact factor: 7.640

  2 in total

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