Skip to main content

Thank you for visiting nature.com. You are using a browser version with limited support for CSS. To obtain the best experience, we recommend you use a more up to date browser (or turn off compatibility mode in Internet Explorer). In the meantime, to ensure continued support, we are displaying the site without styles and JavaScript.

  • News & Views
  • Published:

Liver

Phenotypic and genetic variance: a systems approach to the liver

Nature Reviews Gastroenterology & Hepatology volume 13, pages 439–440 (2016)Cite this article

Subjects

Elucidating the entire complexity of biological functions in the liver is vital to understand its key role in the progression of complex diseases. A new mouse study integrates complementary '–omics' data across various environmental states using the liver as a platform for multiomics analysis and identifies new mechanisms in hepatic mitochondrial function.

This is a preview of subscription content, access via your institution

Access options

Buy this article

  • Purchase on Springer Link
  • Instant access to full article PDF
Buy now

Prices may be subject to local taxes which are calculated during checkout

Figure 1: Multiscale –omics technologies and integrated network approaches unveiled the link between genetic variance and phenotypic differences in liver.

References

  1. Uhlen, M. et al. Tissue-based map of the human proteome. Science 347, 1260419 (2015).

    Article  Google Scholar 

  2. Mardinoglu, A. et al. Genome-scale metabolic modelling of hepatocytes reveals serine deficiency in patients with non-alcoholic fatty liver disease. Nat. Commun. 5, 3083 (2014).

    Article  Google Scholar 

  3. Agren, R. et al. Identification of anticancer drugs for hepatocellular carcinoma through personalized genome-scale metabolic modeling. Mol. Syst. Biol. 10, 721 (2014).

    Article  Google Scholar 

  4. Wu, Y. et al. Multilayered genetic and omics dissection of mitochondrial activity in a mouse reference population. Cell 158, 1415–1430 (2014).

    Article  CAS  Google Scholar 

  5. Mardinoglu, A. et al. The gut microbiota modulates host amino acid and glutathione metabolism in mice Mol. Syst. Biol. 11, 834 (2015).

    Article  Google Scholar 

  6. Ghazalpour, A. et al. Genetic regulation of mouse liver metabolite levels. Mol. Syst. Biol. 10, 730 (2014).

    Article  Google Scholar 

  7. Williams, E. G. et al. Systems proteomics of liver mitochondria function. Science 352, aad0189 (2016).

    Article  Google Scholar 

  8. Keane, T. M. et al. Mouse genomic variation and its effect on phenotypes and gene regulation. Nature 477, 289–294 (2011).

    Article  CAS  Google Scholar 

  9. Gillet, L. C. et al. Targeted data extraction of the MS/MS spectra generated by data-independent acquisition: a new concept for consistent and accurate proteome analysis. Mol. Cell. Proteomics http://dx.doi.org/10.1074/mcp.O111.016717, (2012).

  10. Greene, C. S. et al. Understanding multicellular function and disease with human tissue-specific networks. Nat. Genet. 47, 569–576 (2015).

    Article  CAS  Google Scholar 

Download references

Acknowledgements

A.M. and M.U. are supported by the Knut and Alice Wallenberg Foundation.

Author information

Authors and Affiliations

  1. Department of Biology and Biological Engineering, Chalmers University of Technology, SE-412 96, Gothenburg, Sweden; and at the Science for Life Laboratory, KTH - Royal Institute of Technology.,

    Adil Mardinoglu

  2. and at the Science for Life Laboratory, KTH - Royal Institute of Technology.,

    Adil Mardinoglu

  3. Science for Life Laboratory, KTH - Royal Institute of Technology, Stockholm, SE-171 21, Sweden

    Mathias Uhlén

Authors
  1. Adil Mardinoglu
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Mathias Uhlén
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Adil Mardinoglu.

Ethics declarations

Competing interests

The authors declare no competing financial interests.

PowerPoint slides

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Mardinoglu, A., Uhlén, M. Phenotypic and genetic variance: a systems approach to the liver. Nat Rev Gastroenterol Hepatol 13, 439–440 (2016). https://doi.org/10.1038/nrgastro.2016.93

Download citation

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1038/nrgastro.2016.93

Search

Advanced search

Quick links

Nature Briefing: Translational Research

Sign up for the Nature Briefing: Translational Research newsletter — top stories in biotechnology, drug discovery and pharma.

Get what matters in translational research, free to your inbox weekly. Sign up for Nature Briefing: Translational Research