Dissecting cancer heterogeneity

Article metrics

Transcriptional profiling of single cells in colon tumors may enable prediction of patient outcomes.

Access options

Rent or Buy article

Get time limited or full article access on ReadCube.

from$8.99

All prices are NET prices.

Figure 1: A heterogeneous population of tumor cells is sorted into single cells by flow cytometry and its transcriptional profiles analyzed by single-cell qRT-PCR.

References

  1. 1

    Dalerba, P. et al. Nat. Biotechnol. 29, 1120–1127 (2011).

  2. 2

    Sharma, S.V. et al. Cell 141, 69–80 (2010).

  3. 3

    Li, X. et al. J. Natl. Cancer Inst. 100, 672–679 (2008).

  4. 4

    Shackleton, M., Quintana, E., Fearon, E.R. & Morrison, S.J. Cell 138, 822–829 (2009).

  5. 5

    Reya, T., Morrison, S.J., Clarke, M.F. & Weissman, I.L. Nature 414, 105–111 (2001)

  6. 6

    Campbell, L.L. & Polyak, K. Cell Cycle 6, 2332–2338 (2007)

  7. 7

    Vermeulen, L. et al. Proc. Natl. Acad. Sci. USA 105, 13427–13432 (2008)

  8. 8

    Navin, N. et al. Nature 472, 90–94 (2011)

  9. 9

    Rajagopalan, H. et al. Nature 418, 934 (2002)

  10. 10

    Wood, L.D. et al. Science 318, 1108–1113 (2007)

  11. 11

    Tang, F. et al. Nat. Protoc. 5, 516–535 (2010).

Download references

Author information

Correspondence to Jeff Settleman.

Ethics declarations

Competing interests

The authors declare no competing financial interests.

Rights and permissions

Reprints and Permissions

About this article

Cite this article

Dornan, D., Settleman, J. Dissecting cancer heterogeneity. Nat Biotechnol 29, 1095–1096 (2011) doi:10.1038/nbt.2063

Download citation

Further reading