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A Single-Cell-Type Real-Time PCR Method Based on a Modified Patch-Pipette Cell Harvesting System

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Abstract

Real-time PCR is a powerful tool for quantifying nucleic acid expression. Real-time PCR is conventionally performed at the tissue level to guarantee an abundance of nucleic acid for detection. The precision and reliability of this method, however, is limited by usually being composed of a mixture of different cell types. Single-cell PCR, in contrast, eliminates the purity problem of the cell source. However, use of this method is usually impeded by difficulties in cell harvesting and stringent requirements for processing of very small quantities of nucleic acids. In this study, we combined the advantages of the high purity of selected cells in single-cell PCR with the greater nucleic acid quantities and thus greater ease of tissue-level PCR. The key aspect of our method is to use a modified patch-clamp pipette to harvest several selected cells of the same type. This method is therefore especially useful for cells that can be morphologically or histologically identified such as primary sensory neurons, striated muscle fibers and cells labeled with fluorescent makers.

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References

  1. Wong, M. L., & Medrano, J. F. (2005). BioTechniques, 39, 75–85.

    Article  CAS  Google Scholar 

  2. Morrison, T. B., Weis, J. J., & Wittwer, C. T. (1998). Biotechniques, 24, 954–958.

    CAS  Google Scholar 

  3. Schmittgen, T. D., & Livak, K. J. (2008). Nat. Protoc., 3, 1101–1108.

    Article  CAS  Google Scholar 

  4. Dib-Hajj, S., Black, J. A., Cummins, T. R., & Waxman, S. G. (2002). Trends Neurosci., 25, 253–259.

    Article  CAS  Google Scholar 

  5. Casals-Diaz, L., Casas, C., & Navarro, X. (2015). Restor. Neurol. Neurosci., 33, 321–334.

    Article  CAS  Google Scholar 

  6. Fang, X., Djouhri, L., Black, J. A., Dib-Hajj, S. D., Waxman, S. G., & Lawson, S. N. (2002). J. Neurosci. Off. J. Soc. Neurosci., 22, 7425–7433.

    CAS  Google Scholar 

  7. Bengtsson, M., Stahlberg, A., Rorsman, P., & Kubista, M. (2005). Genome Res., 15, 1388–1392.

    Article  CAS  Google Scholar 

  8. Rutledge, R. G. (2004). Nucleic Acids Res., 32, e178.

    Article  CAS  Google Scholar 

  9. Liu, W., & Saint, D. A. (2002). Biochem. Biophys. Res. Commun., 294, 347–353.

    Article  CAS  Google Scholar 

  10. Livak, K. J., & Schmittgen, T. D. (2001). Methods, 25, 402–408.

    Article  CAS  Google Scholar 

  11. Stahlberg, A., Hakansson, J., Xian, X., Semb, H., & Kubista, M. (2004). Clin. Chem., 50, 509–515.

    Article  CAS  Google Scholar 

  12. Stahlberg, A., & Kubista, M. (2014). Expert Rev. Mol. Diagn., 14, 323–331.

    Article  CAS  Google Scholar 

  13. Bustin, S. A., Benes, V., Garson, J. A., Hellemans, J., Huggett, J., Kubista, M., et al. (2009). Clin. Chem., 55, 611–622.

    Article  CAS  Google Scholar 

  14. Pazzagli, M., Malentacchi, F., Simi, L., Orlando, C., Wyrich, R., Gunther, K., et al. (2013). Methods, 59, 20–31.

    Article  CAS  Google Scholar 

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Acknowledgments

This work is supported by Grants from National Nature Science Foundation of China (NSFC Grant Nos.: 81100818 and 30670854) for Dr. Linlin Gao, and by the fund from the Fundamental Research Funds for the Central Universities (No.: 2015QN149) for Dr. Yunjie Zheng. We thank Prof. Sally N. Lawson and Dr. Laiche Djouhri for proofreading the manuscript.

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Correspondence to Linlin Gao.

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Song, Y., Zhang, M., Tao, X. et al. A Single-Cell-Type Real-Time PCR Method Based on a Modified Patch-Pipette Cell Harvesting System. Mol Biotechnol 58, 558–565 (2016). https://doi.org/10.1007/s12033-016-9953-y

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  • DOI: https://doi.org/10.1007/s12033-016-9953-y

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