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Gene expression analysis goes digital

Nature Biotechnology volume 25, pages 878–880 (2007)Cite this article

High-throughput sequencing technology has been adapted for transcriptome analysis.

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Figure 1: The PMAGE approach for digital expression analysis.

References

  1. Kim, J.B. et al. Science 316, 1481–1484 (2007).

    Article  CAS  Google Scholar 

  2. Velculescu, V.E., Zhang, L., Vogelstein, B. & Kinzler, K.W. Science 270, 484–487 (1995).

    Article  CAS  Google Scholar 

  3. Shendure, J. et al. Science 309, 1728–1732 (2005).

    Article  CAS  Google Scholar 

  4. Dressman, D., Yan, H., Traverso, G., Kinzler, K.W. & Vogelstein, B. Proc. Natl. Acad. Sci. USA 100, 8817–8822 (2003).

    Article  CAS  Google Scholar 

  5. Schena, M., Shalon, D., Davis, R.W. & Brown, P.O. Science 270, 467–470 (1995).

    Article  CAS  Google Scholar 

  6. Margulies, M. et al. Nature 437, 376–380 (2005).

    Article  CAS  Google Scholar 

  7. Braslavsky, I., Hebert, B., Kartalov, E. & Quake, S.R. Proc. Natl. Acad. Sci. USA 100, 3960–3964 (2003).

    Article  CAS  Google Scholar 

  8. Bentley, D.R. Curr. Opin. Genet. Dev. 16, 545–552 (2006).

    Article  CAS  Google Scholar 

  9. Wang, T.L. et al. Proc. Natl. Acad. Sci. USA 99, 16156–16161 (2002).

    Article  CAS  Google Scholar 

  10. Hu, M. et al. Nat. Genet. 37, 899–905 (2005).

    Article  CAS  Google Scholar 

  11. Johnson, D.S., Mortazavi, A., Myers, R.M. & Wold, B. Science 316, 1497–1502 (2007).

    Article  CAS  Google Scholar 

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Authors and Affiliations

  1. Victor E. Velculescu and Kenneth W. Kinzler are at The Ludwig Center for Cancer Genetics and Therapeutics, The Johns Hopkins Kimmel Cancer Center, Baltimore, Maryland 21036, USA. velculescu@jhmi.edu andkinzlke@jhmi.edu,

    Victor E Velculescu & Kenneth W Kinzler

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  1. Victor E Velculescu
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  2. Kenneth W Kinzler
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Velculescu, V., Kinzler, K. Gene expression analysis goes digital. Nat Biotechnol 25, 878–880 (2007). https://doi.org/10.1038/nbt0807-878

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