A Real-Time Quantitative PCR Assay for Quantification of c-Myc DNA in Patients who Suffers from Leukemia
DOI:
https://doi.org/10.6000/1927-7229.2013.02.01.6Keywords:
qRT-PCR, cDNA, leukemia, c-myc gene.Abstract
The MYC cancer gene contains instructions for the production of the c-Myc protein. The c-Myc protein is known as a transcription factor or a regulator of other genes. It is a protein that binds DNA at specific sites and instructs genes whether or not they should be transcribed into messages for cells to make additional or other new proteins. Quantitative real-time PCR (qRT-PCR) addresses the evident requirement for quantitative data analysis in molecular medicine, biotechnology, microbiology, archaeometry and diagnostics and has become the method of choice for the quantification of cDNA and nDNA. Therefore, we used Polymerase chain reaction (PCR)-based assays can target either DNA (the genome) or cDNA, namely used for research both DNA. We optimized a method for monitoring quantitative real-time PCR (qRT-PCR) of c-Myc cancer gene in patients with leukemia. We describe qRT-PCR a series of protocols that illustrate the essential technical steps required to generate quantitative data that are reliable and reproducible. In addition, our aim is to also quantify extracted DNA and determine its purity and the validation of extracted DNA from patients with leukemia including active Myc gene family. We also believe these protocols will be accessible to the researchers to provide them reliable data in this protocol. These analytical methods are essential for accurate gene quantification. With reference to, advantages of qRT-PCR are a large dynamic range of quantification, no requirement for post-PCR sample handling and the need for very small amounts of starting material. The specificity, reproducibility and detection limit of the assay was examined. The assay was used to monitor c-myc DNA levels in patients with leukemia.
References
Schweitzer B, Kingsmore S. Combining nucleic acid amplification and detection. Curr Opini Biotechnol 2001; 12: 21-27. http://dx.doi.org/10.1016/S0958-1669(00)00172-5
Ingham D, Beer S, Money S, Hansen G. Quantitative real-time PCR assay for determining transgene copy number in transformed plants. Biotechniques 2001; 31: 132.
Nigro JM, Takahashi MA, Ginzinger DG, et al. Detection of 1p and 19q loss in oligodendroglioma by quantitative microsatellite analysis, a real-time quantitative PCR assay. Am J Pathol 2001; 4: 1253.
Gibson U, Heid C, Williams P.. A novel method for real time quantitative RT-PCR. Genome Res 1996; 6: 995.
Heid CA, Stevens J, Livak KJ, Williams PM. Real-time quantitative PCR. Genome Res 1996; 6: 986.
Yin JL, Shackel NA, Zekry A, et al. Real-time reverse-transcriptase polymerase chain reaction (RT-PCR) for measurement of cytokine and growth factor mRNA expression with fluorogenic probes or SYBR Green I. Immunol Cell Biol 2001; 79: 213. http://dx.doi.org/10.1046/j.1440-1711.2001.01002.x
Schmittgen TD, Zakrajsek BA, Mills AG, Gorn V, Singer MJ, Reed MW. Quantitative reverse transcription-polymerase chain reaction to study mRNA decay: comparison of endpoint and real-time methods. Anal Biochem 2000; 285: 194. http://dx.doi.org/10.1006/abio.2000.4753
Bustin SA, Dorudi S. Molecular assessment of tumour stage and disease recurrence using PCR-based assays. Mol Med Today 1998; 4: 389-96. http://dx.doi.org/10.1016/S1357-4310(98)01324-0
Ginzinger DG, Godfrey TE, Nigro J. et al. Measurement of DNA copy number at microsatellite loci using quantitative PCR analysis. Cancer Res 2000; 60: 5405.
Kariyazono H, Ohno T, Ihara K, et al. Rapid detection of the 22q11.2 deletion with quantitative real-time PCR. Mol Cell Probes 2001; 15: 71.
Desire N, Dehee A, Schneider V, et al. Quantification of human immunodeficiency virus type 1 proviral load by a TaqMan real-time PCR assay. J Clin Microbiol 2001; 39: 1303. http://dx.doi.org/10.1128/JCM.39.4.1303-1310.2001
Oliver DH, Thompson RE, Griffin CA, Eshleman JR. Use of single nucleotide polymorphisms (SNP) and real-time polymerase chain reaction for bone marrow engraftment analysis. J Mol Diagn 2000; 2: 202. http://dx.doi.org/10.1016/S1525-1578(10)60638-1
Walburger DK, Afonina IA, Wydro R. An improved real time PCR method for simultaneous detection of C282Y and H63D mutations in the HFE gene associated with hereditary hemochromatosis. Mutat Res 2001; 432: 69. http://dx.doi.org/10.1016/S1383-5726(00)00003-0
Rozzo SJ, Allard JD, Choubey D, et al. Evidence for an interferon- inducible gene, Ifi202, in the susceptibility to systemic lupus. Immunity 2001; 15: 435.
Miyazato A, Ueno S, Ohmine K, et al. Identification of myelodysplastic syndrome–specific genes by DNA microarray analysis with purified hematopoietic stem cell fraction. Blood 2001; 98: 422.
Elson D, Thurston G, Huang E, et al. Quiescent angiogenesis in transgenic mice expressing constitutively active hypoxia-inducible factor-1a. Genes Dev 2001; 15: 2520.
Chiang PW, Song WJ, Wu KY, et al. Use of a fluorescent-PCR reaction to detect genomic sequence copy number and transcriptional abundance. Genome Res 1996; 6: 1013.
Suzuki S, Moore DH, Ginzinger DG, et al. An approach to analysis of large-scale correlations between genome changes and clinical endpoints in ovarian cancer. Cancer Res 2000; 60: 5382.
Meijerink J, Mandigers C, van de Locht L, Tonnissen E, Goodsaid F, Raemaekers J. A novel method to compensate for different amplification efficiencies between patient DNA samples in quantitative real-time PCR. J Mol Diagn 2001; 3: 55.
Marcucci G, Livak KJ, Bi W, Strout MP, Bloomfield CD, Caligiuri MA. Detection of minimal residual disease in patients with AML1/ETO-associated acute myeloid leukemia using a novel quantitative reverse transcription polymerase chain reaction assay. Leukemia 1998; 12(9): 1482-89. http://dx.doi.org/10.1038/sj.leu.2401128
Wattjes MP, Krauter J, Nagel S, Heidenreich O, Ganser A, Heil G. Comparison of nested competitive RT-PCR and real-time RT-PCR for the detection and quantification of AML1/MTG8 fusion transcripts in t (8;21) positive acute myelogenous leukemia. Leukemia 2000; 14(2): 329-35. http://dx.doi.org/10.1038/sj.leu.2401679
Weng AP, Millholland JM, Yashiro-Ohtani Y. c-Myc is an imporatant direct target of Notch1 in T – cell acute lymphoblastic leukemia/lymphoma. Genes Dev 2006; 20: 2096-19. http://dx.doi.org/10.1101/gad.1450406
Bustin SA. Absolute quantification of mRNA using real-time reverse transcription polymerase chain reaction assays. J Mol Endocrinol 2000; 25: 169-93. http://dx.doi.org/10.1677/jme.0.0250169
Bustin SA, Gyselman VG, Siddiqi S, Dorudi S. Cytokeratin 20 is not a tissue-specific marker for the detection of malignant epithelial cells in the blood of colorectal cancer patients. Int J Surg Invest 2000; 2: 49-57.
Downloads
Published
Issue
Section
How to Cite
Similar Articles
- Vincent Éthier, Marie-Claude Foley, Sarah Higgins, Régen Drouin, Julie Abel, Rabia Temmar, Rami Kotb, Hans Knecht, Overwhelming Paroxysmal Nocturnal Haemoglobinuria in a Patient with Low-Risk Myelodysplastic Syndrome and Long-Term Anticoagulation for Sick Sinus Syndrome , Journal of Analytical Oncology: Vol. 2 No. 1 (2013)
- Donald Rozario, Sammer Zeglam, Wolfram Siede, A Yeast Mutant Screen Identifies TORC and Lys63 Polyubiquitination Pathway Genes among Determinants of Sensitivity to the Cancer Stem Cell-Specific Drug Salinomycin , Journal of Analytical Oncology: Vol. 9 (2020)
- Xin Liu, Yan Chen, Zhi Ping Wu, Cong Guo Jin, Xiao Qun Chen, Jia Li, Yong Chun Zhou, Xi Cai Wang, A DNA Vaccine Targeting the Fetal Liver Kinase-1 (Flk-1) can Activate the Special CD8+ T Cell and Inhibit the Metastasis of Orthotopic Lewis Lung Cancer Model , Journal of Analytical Oncology: Vol. 2 No. 4 (2013)
- Laurence A. Cole, Hyperglycosylated hCG Drives Malignancy in Most or All Human Cancers: Tying All Research Together , Journal of Analytical Oncology: Vol. 7 No. 1 (2018)
- Paola Fernanda Fedatto, Thais Inácio de Carvalho, Jaqueline Carvalho de Oliveir, David Santos Marco Antônio, Julia Alejandra Pezuk, Daniela Pretti da Cunha Tirapell, Omar Féres, osé Joaquim Ribeiro da Rocha, Carlos Alberto Scrideli, Luiz Gonzaga Tone, María Sol Brassesco, MiR-708-5p as a Predictive Marker of Colorectal Cancer Prognosis , Journal of Analytical Oncology: Vol. 5 No. 1 (2016)
- Sven Wenske , Philippa Cheetham, Aaron E. Katz, Clinical and Biochemical Outcomes of High-Risk Prostate Cancer Patients treated with Third Generation Prostate Cryosurgery , Journal of Analytical Oncology: Vol. 2 No. 2 (2013)
- Robert Skopec, Mutagenesis Associated with DNA-Damage-Stress Response , Journal of Analytical Oncology: Vol. 5 No. 1 (2016)
- Omar Youssef, Virinder Kaur Sarhadi, Lauri Lehtimäki, Milja Tikkanen, Arto Kokkola, Pauli Puolakkainen, Gemma Armengol, Sakari Knuutila, Mutations by Next Generation Sequencing in Stool DNA from Colorectal Carcinoma Patients - A Literature Review and our Experience with this Methodology , Journal of Analytical Oncology: Vol. 5 No. 1 (2016)
- Maria Fernanda Evangelista Simões, Clarissa Maria de Cerqueira Mathias, Oddone Freitas Melro Braghiroli, Eldsamira da Silva Mascarenhas Schettini Sobrinho , Subacute Paraneoplastic Cerebellar Degeneration in an Advanced Small Cell Lung Cancer Patient: Case Report and Literature Review , Journal of Analytical Oncology: Vol. 4 No. 2 (2015)
- Tanmoy Bhowmik, Ajoy Kumar Biswas, Amrita Sarkar, Partha Pratim Saha, Aparna Gomes, Antony Gomes , Caspase Pathway Activation and Reactive Oxygen Species Generation in Apoptotic Cell Death of Human Leukemic U937 and K562 Cell Line in Response to King Cobra (Ophiophagus hannah) Venom , Journal of Analytical Oncology: Vol. 3 No. 3 (2014)
You may also start an advanced similarity search for this article.