Skip to main content Accessibility help
×
Hostname: page-component-76fb5796d-vvkck Total loading time: 0 Render date: 2024-04-29T21:30:22.544Z Has data issue: false hasContentIssue false

20 - Real-time quantification of microRNAs by TaqMan® assays

from IV - Detection and quantitation of microRNAs

Published online by Cambridge University Press:  22 August 2009

Yu Liang
Affiliation:
Research & Development Applied Biosystems 850 Lincoln Centre Drive Foster City, CA 94404 USA
Linda Wong
Affiliation:
Research & Development Applied Biosystems 850 Lincoln Centre Drive Foster City, CA 94404USA
Ruoying Tan
Affiliation:
Research & Development Applied Biosystems 850 Lincoln Centre Drive Foster City, CA 94404 USA
Caifu Chen
Affiliation:
Research & Development Applied Biosystems 850 Lincoln Centre Drive Foster City, CA 94404 USA
Get access

Summary

Introduction

MicroRNAs are a new class of small, non-coding RNAs that control gene expression at the post-transcriptional level (Ambros, 2004; Bartel, 2004). Primary miRNA transcripts, also called pri-miRNA precursors are processed sequentially by two RNase III enzymes, Drosha and Dicer, to yield intermediate ∼80-nt pre-miRNA precursors and final ∼21-nt mature miRNAs. MicroRNAs are incorporated into RNA-induced silencing complex (RISC) where they identify and silence target messenger RNAs (mRNAs) through translational repression or direct cleavage (Wightman et al., 1993; Olsen and Ambros, 1999; Hutvagner and Zamore, 2002; Doench and Sharp, 2004; Zhang et al., 2004).

Cloning efforts and computational predictions have indicated that there are ∼800 miRNA genes in human, which together regulate more than 5300 genes involved in processes including cell proliferation and metabolism, developmental timing, cell death, hematopoiesis, neuron development, human tumorigenesis, and even DNA methylation and chromatin modification (Ambros, 2003; Baehrecke, 2003; Michael et al., 2003; Bao et al., 2004; Bartel, 2004; Chen et al., 2004; Chen and Lodish, 2005; Johnston et al., 2005). Certain miRNAs are expressed ubiquitously, whereas others are expressed in a highly tissue-specific manner. Their expression levels vary greatly among species and tissues, ranging from less than 10 to more than 50,000 copies per cell (Kim et al., 2004). Less abundant miRNAs routinely escape detection with technologies such as cloning, Northern hybridization, and microarray analysis (Krichevsky et al., 2003; Lim et al., 2003; Liu et al., 2004).

Type
Chapter
Information
MicroRNAs
From Basic Science to Disease Biology
, pp. 269 - 282
Publisher: Cambridge University Press
Print publication year: 2007

Access options

Get access to the full version of this content by using one of the access options below. (Log in options will check for institutional or personal access. Content may require purchase if you do not have access.)

References

Alvarez-Garcia, I. and Miska, E. A. (2005). MicroRNA functions in animal development and human disease. Development, 132, 4653–4662.Google Scholar
Ambros, V. (2003). MicroRNA pathways in flies and worms: growth, death, fat, stress, and timing. Cell, 113, 673–676.Google Scholar
Ambros, V. (2004). The functions of animal microRNAs. Nature, 431, 350–355.Google Scholar
Baehrecke, E. H. (2003). miRNAs: micro managers of programmed cell death. Current Biology, 13, R473–475.Google Scholar
Bao, N., Lye, K. W. and Barton, M. K. (2004). MicroRNA binding sites in Arabidopsis class III HD-ZIP mRNAs are required for methylation of the template chromosome. Developmental Cell, 7, 653–662.Google Scholar
Bartel, D. P. (2004). MicroRNAs: genomics, biogenesis, mechanism, and function. Cell, 116, 281–297.Google Scholar
Baskerville, S. and Bartel, D. P. (2005). Microarray profiling of microRNAs reveals frequent coexpression with neighboring miRNAs and host genes. RNA, 11, 241–247.Google Scholar
Calin, G. A., Dumitru, C. D., Shimizu, M.et al. (2002). Frequent deletions and down-regulation of micro-RNA genes miR15 and miR16 at 13q14 in chronic lymphocytic leukemia. Proceedings of the National Academy of Sciences USA, 99, 15 524–15 529.Google Scholar
Calin, G. A., Sevignani, C., Dumitru, C. D.et al. (2004). Human microRNA genes are frequently located at fragile sites and genomic regions involved in cancers. Proceedings of the National Academy of Sciences USA, 101, 2999–3004.Google Scholar
Calin, G. A., Ferracin, M., Cimmino, A.et al. (2005). A microRNA signature associated with prognosis and progression in chronic lymphocytic leukemia. New England Journal of Medicine, 353, 1793–1801.Google Scholar
Chen, C. Z. (2005). MicroRNAs as oncogenes and tumor suppressors. New England Journal of Medicine, 353, 1768–1771.Google Scholar
Chen, C. Z. and Lodish, H. F. (2005). MicroRNAs as regulators of mammalian hematopoiesis. Seminars in Immunology, 17, 155–165.Google Scholar
Chen, C. Z., Li, L., Lodish, H. F. and Bartel, D. P. (2004). MicroRNAs modulate hematopoietic lineage differentiation. Science, 303, 83–86.Google Scholar
Chen, C., Ridzon, D. A., Broomer, A. J.et al. (2005). Real-time quantification of microRNAs by stem-loop RT-PCR. Nucleic Acids Research, 33, e179.Google Scholar
Cimmino, A., Calin, G. A., Fabbri, M.et al. (2005). miR-15 and miR-16 induce apoptosis by targeting BCL2. Proceedings of the National Academy of Sciences USA, 102, 13 944–13 949.Google Scholar
Clarke, P. A., te Poele, R. and Workman, P. (2004). Gene expression microarray technologies in the development of new therapeutic agents. European Journal of Cancer, 40, 2560–2591.Google Scholar
Croce, C. M. and Calin, G. A. (2005). miRNAs, cancer, and stem cell division. Cell, 122, 6–7.Google Scholar
Kok, J. B., Roelofs, R. W., Giesendorf, B. A.et al. (2005). Normalization of gene expression measurements in tumor tissues: comparison of 13 endogenous control genes. Laboratory Investigation, 85, 154–159.Google Scholar
Doench, J. G. and Sharp, P. A. (2004). Specificity of microRNA target selection in translational repression. Genes & Development, 18, 504–511.Google Scholar
Dorsett, Y. and Tuschl, T. (2004). siRNAs: applications in functional genomics and potential as therapeutics. Nature Reviews Drug Discovery, 3, 318–329.Google Scholar
Dykxhoorn, D. M., Novina, C. D. and Sharp, P. A. (2003). Killing the messenger: short RNAs that silence gene expression. Nature Reviews Molecular Cell Biology, 4, 457–467.Google Scholar
Finnegan, E. J. and Matzke, M. A. (2003). The small RNA world. Journal of Cell Science, 116, 4689–4693.Google Scholar
Gorzelniak, K., Janke, J., Engeli, S. and Sharma, A. M. (2001). Validation of endogenous controls for gene expression studies in human adipocytes and preadipocytes. Hormone and Metabolic Research, 33, 625–627.Google Scholar
Higuchi, R., Fockler, C., Dollinger, G. and Watson, R. (1993). Kinetic PCR analysis: real-time monitoring of DNA amplification reactions. Biotechnology, 11, 1026–1030.Google Scholar
Hutvagner, G. and Zamore, P. D. (2002). A microRNA in a multiple-turnover RNAi enzyme complex. Science, 297, 2056–2060.Google Scholar
Johnston, R. J. Jr., Chang, S., Etchberger, J. F., Ortiz, C. O. and Hobert, O. (2005). MicroRNAs acting in a double-negative feedback loop to control a neuronal cell fate decision. Proceedings of the National Academy of Sciences USA, 102, 12 449–12 454.Google Scholar
Kim, J., Krichevsky, A., Grad, Y.et al. (2004). Identification of many microRNAs that copurify with polyribosomes in mammalian neurons. Proceedings of the National Academy of Sciences USA, 101, 360–365.Google Scholar
Krichevsky, A. M., King, K. S., Donahue, C. P., Khrapko, K. and Kosik, K. S. (2003). A microRNA array reveals extensive regulation of microRNAs during brain development. RNA, 9, 1274–1281.Google Scholar
Lim, L. P., Glasner, M. E., Yekta, S., Burge, C. B. and Bartel, D. P. (2003). Vertebrate microRNA genes. Science, 299, 1540.Google Scholar
Liu, C. G., Calin, G. A., Meloon, B.et al. (2004). An oligonucleotide microchip for genome-wide microRNA profiling in human and mouse tissues. Proceedings of the National Academy of Sciences USA, 101, 9740–9744.Google Scholar
Livak, K. J., Flood, S. J., Marmaro, J., Giusti, W. and Deetz, K. (1995). Oligonucleotides with fluorescent dyes at opposite ends provide a quenched probe system useful for detecting PCR product and nucleic acid hybridization. PCR Methods & Application, 4, 357–362.Google Scholar
Lu, J., Getz, G., Miska, E. A.et al. (2005). MicroRNA expression profiles classify human cancers. Nature, 435, 834–838.Google Scholar
Mansfield, J. H., Harfe, B. D., Nissen, R.et al. (2004). MicroRNA-responsive ‘sensor’ transgenes uncover Hox-like and other developmentally regulated patterns of vertebrate microRNA expression. Nature Genetics, 36, 1079–1083.Google Scholar
Marino, S. (2005). Medulloblastoma: developmental mechanisms out of control. Trends in Molecular Medicine, 11, 17–22.Google Scholar
Michael, M. Z., O'Connor, S. M., Holst Pellekaan, N. G., Young, G. P. and James, R. J. (2003). Reduced accumulation of specific microRNAs in colorectal neoplasia. Molecular Cancer Research, 1, 882–891.Google Scholar
Olsen, P. H. and Ambros, V. (1999). The lin-4 regulatory RNA controls developmental timing in Caenorhabditis elegans by blocking LIN-14 protein synthesis after the initiation of translation. Developmental Biology, 216, 671–680.Google Scholar
Pillai, R. S. (2005). MicroRNA function: multiple mechanisms for a tiny RNA? RNA, 11, 1753–1761.Google Scholar
Ramaswamy, S., Tamayo, P., Rifkin, R.et al. (2001). Multiclass cancer diagnosis using tumor gene expression signatures. Proceedings of the National Academy of Sciences USA, 98, 15 149–15 154.Google Scholar
Russo, C., Pellarin, M., Tingby, O.et al. (1999). Comparative genomic hybridization in patients with supratentorial and infratentorial primitive neuroectodermal tumors. Cancer, 86, 331–339.Google Scholar
Schmittgen, T. D. and Zakrajsek, B. A. (2000). Effect of experimental treatment on housekeeping gene expression: validation by real-time, quantitative RT-PCR. Journal of Biochemical & Biophysical Methods, 46, 69–81.Google Scholar
Suzuki, T., Higgins, P. J. and Crawford, D. R. (2000). Control selection for RNA quantitation. Biotechniques, 29, 332–337.Google Scholar
Wightman, B., Ha, I. and Ruvkun, G. (1993). Posttranscriptional regulation of the heterochronic gene lin-14 by lin-4 mediates temporal pattern formation in C. elegans. Cell, 75, 855–862.Google Scholar
Zhang, H., Kolb, F. A., Jaskiewicz, L., Westhof, E. and Filipowicz, W. (2004). Single processing center models for human Dicer and bacterial RNase III. Cell, 118, 57–68.Google Scholar

Save book to Kindle

To save this book to your Kindle, first ensure coreplatform@cambridge.org is added to your Approved Personal Document E-mail List under your Personal Document Settings on the Manage Your Content and Devices page of your Amazon account. Then enter the ‘name’ part of your Kindle email address below. Find out more about saving to your Kindle.

Note you can select to save to either the @free.kindle.com or @kindle.com variations. ‘@free.kindle.com’ emails are free but can only be saved to your device when it is connected to wi-fi. ‘@kindle.com’ emails can be delivered even when you are not connected to wi-fi, but note that service fees apply.

Find out more about the Kindle Personal Document Service.

Available formats
×

Save book to Dropbox

To save content items to your account, please confirm that you agree to abide by our usage policies. If this is the first time you use this feature, you will be asked to authorise Cambridge Core to connect with your account. Find out more about saving content to Dropbox.

Available formats
×

Save book to Google Drive

To save content items to your account, please confirm that you agree to abide by our usage policies. If this is the first time you use this feature, you will be asked to authorise Cambridge Core to connect with your account. Find out more about saving content to Google Drive.

Available formats
×