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Introduction to miRNA Profiling Technologies and Cross-Platform Comparison

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Next-Generation MicroRNA Expression Profiling Technology

Part of the book series: Methods in Molecular Biology ((MIMB,volume 822))

Abstract

MicroRNA analysis has been widely adopted for basic and applied science. The tools and technologies available for quantifying and analysing miRNAs are still maturing. Here, we give an introductory overview of the main tools and the challenges in their use. We also discuss the importance of basic experimental design, sample handling and analysis methods as the impact of these can be as profound as the choice of miRNA analysis platform. Whether the reader is interested in a gene-by-gene or genome-wide approach choosing the platform to use is not trivial. Careful thought given before starting an experiment will make the execution much easier.

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References

  1. Volinia, S., Galasso, M., Costinean, S., Tagliavini, L., Gamberoni, G., Drusco, A., et al. (2010). Reprogramming of miRNA networks in cancer and leukemia. Genome Res 20, 589–99.

    Article  PubMed  CAS  Google Scholar 

  2. Lin, P-Y., Yu, S-L., and Yang, P-C. (2010). MicroRNA in lung cancer. Br J Cancer 103, 1144–8.

    Article  PubMed  CAS  Google Scholar 

  3. Rosenfeld, N., Aharonov, R., Meiri, E., Rosenwald, S., Spector, Y., Zepeniuk, M., et al. (2008). MicroRNAs accurately identify cancer tissue origin. Nat Biotechnol 26, 462–9.

    Article  PubMed  CAS  Google Scholar 

  4. Le Quesne, J., and Caldas, C. (2010). Micro-RNAs and breast cancer. Mol Oncol 4, 230–41.

    Article  PubMed  Google Scholar 

  5. Mitchell, P. S., Parkin, R. K., Kroh, E. M., Fritz, B. R., Wyman, S. K., Pogosova-Agadjanyan, E. L., et al. (2008). Circulating microRNAs as stable blood-based markers for cancer detection. Proc Natl Acad Sci USA 105, 10513–18.

    Article  PubMed  CAS  Google Scholar 

  6. Kroh, E. M., Parkin, R. K., Mitchell, P. S., and Tewari, M. (2010). Analysis of circulating microRNA biomarkers in plasma and serum using quantitative reverse transcription-PCR (qRT-PCR). Methods 50, 298–301.

    Article  PubMed  CAS  Google Scholar 

  7. Liu, R., Zhang, C., Hu, Z., Li, G., Wang, C., Yang, C., et al. (2010). A five-microRNA signature identified from genome-wide serum microRNA expression profiling serves as a fingerprint for gastric cancer diagnosis. Eur J Cancer 47, 784–91.

    Article  PubMed  CAS  Google Scholar 

  8. Bashir, A. (2010). Designing deep sequencing experiments: detecting structural variation and estimating transcript abundance. BMC Genomics 11, 385–99.

    Article  PubMed  Google Scholar 

  9. Montgomery, S. B, Sammeth, M., Gutierrez-Arcelus, M., Lach, R. P., Ingle, C., Nisbett, J., et al. (2010). Transcriptome genetics using second generation sequencing in a Caucasian population. Nature 464, 773–7.

    Article  PubMed  CAS  Google Scholar 

  10. Hu, Z., Chen, X., Zhao, Y., Tian, T., Jin, G., Shu, Y., et al. (2010). Serum MicroRNA Signatures Identified in a Genome-Wide Serum MicroRNA Expression Profiling Predict Survival of Non-Small-Cell Lung Cancer. J Clin Oncol 28, 1721–6.

    Article  PubMed  Google Scholar 

  11. Levin, J. Z., Yassour, M., Adiconis, X., Nusbaum, C., Thompson, D. A., Friedman, N., et al. (2010). Comprehensive comparative analysis of strand-specific RNA sequencing methods. Nat Methods 7, 709–15.

    Article  PubMed  CAS  Google Scholar 

  12. Baumbusch, L. O., Aarøe, J., Johansen, F. E., Hicks, J., Sun, H., Bruhn, L., et al. (2008). Comparison of the Agilent, ROMA/NimbleGen and Illumina platforms for classification of copy number alterations in human breast tumors. BMC Genomics 9, 379–401.

    Article  PubMed  CAS  Google Scholar 

  13. Curtis, C., Lynch, A. G., Dunning, M. J., Spiteri, I., Marioni, J. C., Hadfield, J., et al. (2009). The pitfalls of platform comparison: DNA copy number array technologies assessed. BMC Genomics 10, 588–601.

    Article  PubMed  Google Scholar 

  14. MAQC. (2006). The MicroArray Quality Control ( MAQC ) project shows inter- and intraplatform reproducibility of gene expression measurements. Nat Biotechnol 24, 1151–61.

    Article  Google Scholar 

  15. Southern, E. M. (1975). Detection of specific sequences among DNA fragments separated by gel electrophoresis. J Mol Biol 98, 503–17.

    Article  PubMed  CAS  Google Scholar 

  16. Alwine, J. C., Kemp, D. J., and Stark, G. R. (1977). Method for detection of specific RNAs in agarose gels by transfer to diazobenzyloxymethyl-paper and hybridization with DNA probes. Proc Natl Acad Sci USA 74, 5350–4.

    Article  PubMed  CAS  Google Scholar 

  17. Schena, M., Shalon, D., Davis, R. W., and Brown, P. (1995). Quantitative Monitoring of Gene Expression Patterns with a Complementary DNA Microarray Science 270, 467–70.

    CAS  Google Scholar 

  18. Mullis, K. B. (1990). Target amplification for DNA analysis by the polymerase chain reaction. Ann Biol Clin (Paris) 48, 579–82.

    CAS  Google Scholar 

  19. Sanger, F., and Coulson, A. R. (1975). A rapid method for determining sequences in DNA by primed synthesis with DNA polymerase. J Mol Biol 94, 441–8.

    Article  PubMed  CAS  Google Scholar 

  20. Bentley, D. R., Balasubramanian, S., Swerdlow, H., Smith, G. P., Milton, J. (2008). Accurate whole human genome sequencing using reversible terminator chemistry. Nature 456, 53–9.

    Article  PubMed  CAS  Google Scholar 

  21. Margulies, M., Egholm, M., Altman, W. E., Attiya, S., Bader, J. S., Bemben, L. A. et al. (2005). Genome sequencing in microfabricated high-density picolitre reactors. Nature 437, 376–80.

    PubMed  CAS  Google Scholar 

  22. McKernan, K. J., Peckham, H. E., Costa, G. L., McLaughlin, S. F., Fu, Y., Tsung, E. F., et al. (2009). Sequence and structural variation in a human genome uncovered by short-read, massively parallel ligation sequencing using two-base encoding. Genome Res 19, 1527–41.

    Article  PubMed  CAS  Google Scholar 

  23. Griffiths-Jones, S., Saini, H. K., van Dongen, S., and Enright, A. J. (2008). miRBase: tools for microRNA genomics. Nucleic Acids Res 36, D154-8.

    Article  PubMed  CAS  Google Scholar 

  24. Chiang, H. R., Schoenfeld, L. W., Ruby, J. G., Auyeung, V. C., Spies, N., Baek, D., et al. (2010). Mammalian microRNAs: experimental evaluation of novel and previously annotated genes. Genes Dev 24, 992–1009.

    Article  PubMed  CAS  Google Scholar 

  25. Nelson, P.T., Wang, W-X., Wilfred, B. R., and Tang, G. (2009). Technical variables in high-throughput miRNA expression profiling: much work remains to be done. Biochim Biophys Acta 1779, 758–65.

    Google Scholar 

  26. Ach, R. A, Wang, H., and Curry, B. (2008). Measuring microRNAs: comparisons of microarray and quantitative PCR measurements, and of different total RNA prep methods. BMC Biotechnol 8, 69–85.

    Article  PubMed  Google Scholar 

  27. Campo Dell’Orto, M., Zangrando, A., Trentin, L., Li, R., Liu, W. M., te Kronnie, G., et al. (2007). New data on robustness of gene expression signatures in leukemia: comparison of three distinct total RNA preparation procedures. BMC Genomics 8, 188–203.

    Article  PubMed  Google Scholar 

  28. Debey, S., Schoenbeck, U., and Hellmich, M. (2004). Comparison of different isolation techniques prior gene expression profiling of blood derived cells: impact on physiological responses, on overall expression and the role of different cell types. Pharmacogenomics 4, 193–207.

    Article  CAS  Google Scholar 

  29. Git, A., Dvinge, H., Salmon-Divon, M., Osborne, M., Kutter, C., Hadfield, J., et al. (2010). Systematic comparison of microarray profiling, real-time PCR, and next-generation sequencing technologies for measuring differential microRNA expression. RNA 16, 991–1006.

    Article  PubMed  CAS  Google Scholar 

  30. Git, A., Spiteri, I., Blenkiron, C., Dunning, M. J., Pole, J. C., Chin, S. F., et al. (2008). PMC42, a breast progenitor cancer cell line, has normal-like mRNA and microRNA transcriptomes. Breast Cancer Res 10, R54.

    Article  PubMed  Google Scholar 

  31. Kim, S. J., Dix, D. J., Thompson, K. E., Murrell, R. N., Schmid, J. E., Gallagher, J. E., et al. (2007). Effects of Storage, RNA Extraction, Genechip Type, and Donor Sex on Gene Expression Profiling of Human Whole Blood. Clin Chem 53, 1038–45.

    Article  PubMed  CAS  Google Scholar 

  32. Fan, H. C., Blumenfeld, Y. J., Chitkara, U., Hudgins, L., and Quake, S. R. (2008). Noninvasive diagnosis of fetal aneuploidy by shotgun sequencing DNA from maternal blood. Proc Natl Acad Sci USA 105, 16266–71.

    Article  PubMed  CAS  Google Scholar 

  33. Bustin, S. A., Benes, V., Garson, J. A., Hellemans, J., Huggett, J., Kubista, M., et al. (2009). The MIQE Guidelines: Minimum Information for Publication of Quantitative Real-Time PCR Experiments. Clin Chem 55, 611–22.

    Article  PubMed  CAS  Google Scholar 

  34. Heid, C. A., Stevens, J., Livak, K. J., Williams, P. M. (1996). Real time quantitative PCR. Genome Res 6, 986–94.

    Article  PubMed  CAS  Google Scholar 

  35. Chen, C., Ridzon, D. A., Broomer, A J., Zhou, Z., Lee, D. H., Nguyen, J. T., et al. (2005). Real-time quantification of microRNAs by stem-loop RT-PCR. Nucleic Acids Res 33, e179-88.

    Article  PubMed  Google Scholar 

  36. Schmittgen, T. D., Lee, E. J., Jiang, J., Sarkar, A., Yang, L., Elton, T. S., et al. (2008). Real-time PCR quantification of precursor and mature microRNA. Methods 44, 31–8.

    Article  PubMed  CAS  Google Scholar 

  37. Schneeberger, C., Speiser, P., Kury, F., and Zeillinger, R. (1995). Quantitative detection of reverse transcriptase-PCR products by means of a novel and sensitive DNA stain. PCR Methods Appl 4, 234–8.

    PubMed  CAS  Google Scholar 

  38. Shi, R., and Chiang, V. (2005). Facile means for quantifying microRNA expression by real-time PCR. Biotechniques 39, 519–25.

    Article  PubMed  CAS  Google Scholar 

  39. Morrison, T., Hurley, J., Garcia, J., Yoder, K., Katz, A., Roberts, D., et al. (2006). Nanoliter high throughput quantitative PCR. Nucleic Acids Res 34, e123–31.

    Article  PubMed  Google Scholar 

  40. Spurgeon, S. L., Jones, R. C., and Ramakrishnan, R. (2008). High throughput gene expression measurement with real time PCR in a microfluidic dynamic array. PLoS One 3, 1662–9.

    Article  Google Scholar 

  41. Kloosterman, W. P., Wienholds, E., Bruijn, E. D., Kauppinen, S., Plasterk, R. H. A. (2006). In situ detection of miRNAs in animal embryos using LNA-modified oligonucleotide probes. Nat Methods 3, 2005–7.

    Article  Google Scholar 

  42. Válóczi, A., Hornyik, C., Varga, N., Burgyán, J., Kauppinen, S., Havelda, Z. (2004). Sensitive and specific detection of microRNAs by northern blot analysis using LNA-modified oligonucleotide probes. Nucleic Acids Res 32, e175–82.

    Article  PubMed  Google Scholar 

  43. Wienholds, E., Kloosterman, W. P., Miska, E., Alvarez-Saavedra, E., Berezikov, E., de Bruijn, E., et al. (2005). MicroRNA expression in zebrafish embryonic development. Science 309, 310–1.

    Article  PubMed  CAS  Google Scholar 

  44. Thomsen, R., Nielsen, P. S., Jensen, T. H. (2005). Dramatically improved RNA in situ hybridization signals using LNA-modified probes. RNA 11, 1745–8.

    Article  PubMed  CAS  Google Scholar 

  45. Obernosterer, G., Martinez, J., Alenius, M. (2007). Locked nucleic acid-based in situ detection of microRNAs in mouse tissue sections. Nat Protoc 2, 1508–14.

    Article  PubMed  CAS  Google Scholar 

  46. Liu, C. G., Calin, G. A., Meloon, B., Gamliel, N., Sevignani, C., and Ferracin, M., et al. (2004). An oligonucleotide microchip for genome-wide microRNA profiling in human and mouse tissues. Proc Natl Acad Sci USA 101, 9740–4.

    Article  PubMed  CAS  Google Scholar 

  47. Ruby, J. G., Jan, C., Player, C., Axtell, M. J., Lee, W., and Nusbaum, C., et al. (2006). Large-scale sequencing reveals 21U-RNAs and additional microRNAs and endogenous siRNAs in C. elegans. Cell 127, 1193–207.

    Article  PubMed  CAS  Google Scholar 

  48. Hafner, M., Landgraf, P., Ludwig, J., Rice, A., Ojo, T., Lin, C., et al. (2008). Identification of microRNAs and other small regulatory RNAs using cDNA library sequencing. Methods 44, 3–12.

    Article  PubMed  CAS  Google Scholar 

  49. Linsen, S. E., de Wit, E., Janssens, G., Heater, S., Chapman, L., Parkin, R. K., et al. (2009). Limitations and possibilities of small RNA digital gene expression profiling. Nat Methods 6, 474–6.

    Article  PubMed  CAS  Google Scholar 

  50. Tian, G., Yin, X., Luo, H., Xu, X., Bolund, L., and Zhang, X. (2010). Sequencing bias : comparison of different protocols of MicroRNA library construction. BMC Biotechnol 10, 64–73.

    Article  PubMed  Google Scholar 

  51. Landgraf, P., Rusu, M., Sheridan, R., Sewer, A., Iovino, N., and Aravin, A., et al. (2007). A Mammalian microRNA Expression Atlas Based on Small RNA Library Sequencing. Cell 129, 1401–14.

    Article  PubMed  CAS  Google Scholar 

  52. Bradford, J. R., Hey, Y., Yates, T., Li, Y., Pepper, S. D., and Miller, C. J. (2010). A comparison of massively parallel nucleotide sequencing with oligonucleotide microarrays for global transcription profiling. BMC Genomics 11, 282–302.

    Article  PubMed  Google Scholar 

  53. Sah, S., McCall, M., Eveleigh, D., Wilson, M., and Irizarry, R. (2010). Performance evaluation of commercial miRNA expression array platforms. BMC Res Notes 3, 80–6.

    Article  PubMed  Google Scholar 

  54. Baldwin, D. (2009). ABRF microRNA Profiling: Platform Comparison. www.abrf.org/ResearchGroups/Microarray/Activities/R7_Baldwin.pdf.

  55. Chen, Y., Gelfond, J. A., McManus, L. M., and Shireman PK (2009). Reproducibility of quantitative RT-PCR array in miRNA expression profiling and comparison with microarray analysis. BMC Genomics 10, 407–17.

    Article  PubMed  Google Scholar 

  56. Dreher, A., Rossing, M., Kaczkowski, B., Nielsen, F. C., and Norrild, B. (2010). Differential expression of cellular microRNAs in HPV-11 transfected cells. An analysis by three different array platforms and qRT-PCR. Biochem Biophys Res Commun 403, 357–62.

    CAS  Google Scholar 

  57. Pradervand, S., Weber, J., Lemoine, F., Consales, F., Paillusson, A., and Dupasquier, M., et al. (2010). Concordance among digital gene expression, microarrays, and qPCR when measuring differential expression of microRNAs. Biotechniques 48, 219–22.

    Article  PubMed  CAS  Google Scholar 

  58. Sato, F., Tsuchiya, S., Terasawa K., and Tsujimoto G. (2009). Intra-platform repeatability and inter-platform comparability of microRNA microarray technology. PLoS One 4, 5540–52.

    Article  Google Scholar 

  59. Yauk, C., Rowan-Carroll, A., Stead, J., and Williams, A. (2010). Cross-platform analysis of global microRNA expression technologies. BMC Genomics 11, 330–57.

    Article  PubMed  Google Scholar 

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Acknowledgements

We thank Stefan Graf, Heidi Dvinge, Claudia Kutter, and Anna Git for their helpful comments on the manuscript.

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Correspondence to James Hadfield .

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Aldridge, S., Hadfield, J. (2012). Introduction to miRNA Profiling Technologies and Cross-Platform Comparison. In: Fan, JB. (eds) Next-Generation MicroRNA Expression Profiling Technology. Methods in Molecular Biology, vol 822. Humana Press. https://doi.org/10.1007/978-1-61779-427-8_2

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  • DOI: https://doi.org/10.1007/978-1-61779-427-8_2

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