News & Views | Published:

Stratifying tissue heterogeneity with scalable single-cell assays

Nature Methods volume 14, pages 238239 (2017) | Download Citation

Three methods dramatically improve the scale of single-cell genomic sequencing and structural assays, allowing for the hierarchical partitioning of cell populations within a tissue.

  • Subscribe to Nature Methods for full access:

    $59

    Subscribe

Additional access options:

Already a subscriber?  Log in  now or  Register  for online access.

References

  1. 1.

    et al. Nat. Methods 14, 167–173 (2017).

  2. 2.

    et al. Nat. Methods 14, 302–308 (2017).

  3. 3.

    et al. Nat. Methods 14, 263–266 (2017).

  4. 4.

    et al. PLoS Genet. 3, e155 (2007).

  5. 5.

    et al. Genome Biol. 11, R119 (2010).

  6. 6.

    et al. Nat. Genet. 46, 1343–1349 (2014).

  7. 7.

    et al. Genome Res. 24, 2041–2049 (2014).

  8. 8.

    et al. Science 348, 910–914 (2015).

  9. 9.

    et al. Nature 502, 59–64 (2013).

Download references

Author information

Affiliations

  1. Kun Zhang is in the Department of Bioengineering, University of California at San Diego, La Jolla, California, USA.

    • Kun Zhang

Authors

  1. Search for Kun Zhang in:

Competing interests

The author declares no competing financial interests.

Corresponding author

Correspondence to Kun Zhang.

About this article

Publication history

Published

DOI

https://doi.org/10.1038/nmeth.4209

Rights and permissions

To obtain permission to re-use content from this article visit RightsLink.