Skip to main content
Log in

GENOME INFORMATICS

Extracting insights from heterogeneous tissues

  • News & Views
  • Published:

From Nature Computational Science

View current issue Submit your manuscript

A limitation of data obtained from RNA-seq experiments is the presence of different types of cell expression, making it difficult to identify the contribution of cell-type composition or cell-type-specific expression. A new study addresses this problem by proposing a method for cell-type-aware analysis of RNA-seq data.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Fig. 1: Interpreting gene expression differences in mixed samples.

References

  1. Aran, D., Sirota, M. & Butte, A. J. A. J. Nat. Commun. 6, 8971 (2015).

    Article  Google Scholar 

  2. Jin, C., Chen, M., Lin, D. & Sun, W. Nat. Comput. Sci. https://doi.org/10.1038/s43588-021-00055-6 (2021).

  3. Newman, A. M. et al. Nat. Methods 12, 453–457 (2015).

    Article  Google Scholar 

  4. Aran, D., Hu, Z. & Butte, A. J. xCell: digitally portraying the tissue cellular heterogeneity landscape. Genome Biol 18, 220 (2017).

    Article  Google Scholar 

  5. Love, M. I., Huber, W. & Anders, S. Genome Biol 15, 550 (2014).

    Article  Google Scholar 

  6. La Manno, G. et al. Nature 560, 494–498 (2018).

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Dvir Aran.

Ethics declarations

Competing interests

The author declares no competing interests.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Aran, D. Extracting insights from heterogeneous tissues. Nat Comput Sci 1, 247–248 (2021). https://doi.org/10.1038/s43588-021-00061-8

Download citation

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1038/s43588-021-00061-8

  • Springer Nature America, Inc.

Navigation