Remodelling of whole-body lipid metabolism and a diabetic-like phenotype caused by loss of CDK1 and hepatocyte division

  1. Jin Rong Ow
  2. Matias J Cadez
  3. Gözde Zafer
  4. Juat Chin Foo
  5. Hong Yu Li
  6. Soumita Ghosh
  7. Heike Wollmann
  8. Amaury Cazenave-Gassiot
  9. Chee Bing Ong
  10. Markus R Wenk
  11. Weiping Han
  12. Hyungwon Choi
  13. Philipp Kaldis  Is a corresponding author
  1. Institute of Molecular and Cell Biology (IMCB), A*STAR (Agency for Science, Technology and Research), Singapore
  2. National University of Singapore (NUS), Singapore
  3. Singapore Bioimaging Consortium, Singapore
  4. Institute of Molecular and Cell Biology (IMCB), Agency for Science, Technology and Research (A*STAR), Singapore, Singapore
  5. Institute of Molecular and Cell Biology, Agency for Science, Technology and Research, Singapore, Singapore
  6. National University of Singapore NUS), Singapore
  7. Lund University, Sweden

Abstract

Cell cycle progression and lipid metabolism are well-coordinated processes required for proper cell proliferation. In liver diseases that arise from dysregulated lipid metabolism, proliferation is diminished. To study the outcome of CDK1 loss and blocked hepatocyte proliferation on lipid metabolism and the consequent impact on whole-body physiology, we performed lipidomics, metabolomics, and RNA-seq analyses on a mouse model. We observed reduced triacylglycerides in liver of young mice, caused by oxidative stress that activated FOXO1 to promote expression of ATGL. Additionally, we discovered that hepatocytes displayed malfunctioning b-oxidation, reflected by increased acylcarnitines and reduced b-hydroxybutyrate. This led to elevated plasma free fatty acids, which were transported to the adipose tissue for storage and triggered greater insulin secretion. Upon aging, chronic hyperinsulinemia resulted in insulin resistance and hepatic steatosis through activation of LXR. Here we demonstrate that loss of hepatocyte proliferation is not only an outcome but possibly causative for liver pathology.

Data availability

Raw sequencing data is available at NCBI GEO under accession number GSE159498.

The following data sets were generated

Article and author information

Author details

  1. Jin Rong Ow

    Institute of Molecular and Cell Biology (IMCB), A*STAR (Agency for Science, Technology and Research), Singapore, Singapore
    Competing interests
    The authors declare that no competing interests exist.
    ORCID icon "This ORCID iD identifies the author of this article:" 0000-0002-7468-691X
  2. Matias J Cadez

    Institute of Molecular and Cell Biology (IMCB), A*STAR (Agency for Science, Technology and Research), Singapore, Singapore
    Competing interests
    The authors declare that no competing interests exist.
  3. Gözde Zafer

    Institute of Molecular and Cell Biology (IMCB), A*STAR (Agency for Science, Technology and Research), Singapore, Singapore
    Competing interests
    The authors declare that no competing interests exist.
  4. Juat Chin Foo

    Biochemistry, National University of Singapore (NUS), Singapore, Singapore
    Competing interests
    The authors declare that no competing interests exist.
  5. Hong Yu Li

    Singapore Bioimaging Consortium, Singapore, Singapore
    Competing interests
    The authors declare that no competing interests exist.
  6. Soumita Ghosh

    Medicine, National University of Singapore (NUS), Singapore, Singapore
    Competing interests
    The authors declare that no competing interests exist.
  7. Heike Wollmann

    Institute of Molecular and Cell Biology (IMCB), Agency for Science, Technology and Research (A*STAR), Singapore, Singapore, Singapore
    Competing interests
    The authors declare that no competing interests exist.
  8. Amaury Cazenave-Gassiot

    Biochemistry, National University of Singapore (NUS), Singapore, Singapore
    Competing interests
    The authors declare that no competing interests exist.
  9. Chee Bing Ong

    Institute of Molecular and Cell Biology, Agency for Science, Technology and Research, Singapore, Singapore, Singapore
    Competing interests
    The authors declare that no competing interests exist.
  10. Markus R Wenk

    Department of Biochemistry, Yong Loo Lin School of Medicine, National University of Singapore (NUS), Singapore, Singapore
    Competing interests
    The authors declare that no competing interests exist.
  11. Weiping Han

    Institute of Molecular and Cell Biology (IMCB), A*STAR (Agency for Science, Technology and Research), Singapore, Singapore
    Competing interests
    The authors declare that no competing interests exist.
    ORCID icon "This ORCID iD identifies the author of this article:" 0000-0002-5023-2104
  12. Hyungwon Choi

    Medicine, National University of Singapore NUS), Singapore, Singapore
    Competing interests
    The authors declare that no competing interests exist.
    ORCID icon "This ORCID iD identifies the author of this article:" 0000-0002-6687-3088
  13. Philipp Kaldis

    Clinical Sciences, Lund University, Malmö, Sweden
    For correspondence
    philipp.kaldis@med.lu.se
    Competing interests
    The authors declare that no competing interests exist.
    ORCID icon "This ORCID iD identifies the author of this article:" 0000-0002-7247-7591

Funding

The work was supported in part by the Faculty of Medicine, Lund University to PK, the Biomedical Research Council, Agency for Science, Technology and Research (A*STAR) to PK and to AC-G and MRW (IAF-ICP I1901E0040); by SINGA (Singapore International Graduate Award) to GZ; by the National Medical Research Council Singapore, NMRC (NMRC/CBRG/0091/2015) to PK; by National Research Foundation Singapore grant (NRF2016-CRP001-103) to PK; by the National Medical Research Council of Singapore (NMRC-CG-M009 to H.C.); by grants from the National University of Singapore via the Life Sciences Institute to JCF; the Swedish Foundation for Strategic Research Dnr IRC15-0067; and Swedish Research Council, Strategic Research Area EXODIAB, Dnr 2009-1039. The funders had no role in study design, data collection and interpretation, or the decision to submit the work for publication.

Reviewing Editor

  1. David E James, The University of Sydney, Australia

Ethics

Animal experimentation: All animal experiments were performed in accordance to protocols (#171268) approved by the A*STAR Institutional Animal Care and Use Committee (IACUC) based on the National Advisory Committee for Laboratory Animal Research (NACLAR) Guidelines.

Version history

  1. Received: October 8, 2020
  2. Accepted: December 19, 2020
  3. Accepted Manuscript published: December 21, 2020 (version 1)
  4. Version of Record published: December 29, 2020 (version 2)
  5. Version of Record updated: November 19, 2021 (version 3)

Copyright

© 2020, Ow et al.

This article is distributed under the terms of the Creative Commons Attribution License permitting unrestricted use and redistribution provided that the original author and source are credited.

Metrics

  • 2,270
    views
  • 349
    downloads
  • 12
    citations

Views, downloads and citations are aggregated across all versions of this paper published by eLife.

Download links

A two-part list of links to download the article, or parts of the article, in various formats.

Downloads (link to download the article as PDF)

Open citations (links to open the citations from this article in various online reference manager services)

Cite this article (links to download the citations from this article in formats compatible with various reference manager tools)

  1. Jin Rong Ow
  2. Matias J Cadez
  3. Gözde Zafer
  4. Juat Chin Foo
  5. Hong Yu Li
  6. Soumita Ghosh
  7. Heike Wollmann
  8. Amaury Cazenave-Gassiot
  9. Chee Bing Ong
  10. Markus R Wenk
  11. Weiping Han
  12. Hyungwon Choi
  13. Philipp Kaldis
(2020)
Remodelling of whole-body lipid metabolism and a diabetic-like phenotype caused by loss of CDK1 and hepatocyte division
eLife 9:e63835.
https://doi.org/10.7554/eLife.63835

Share this article

https://doi.org/10.7554/eLife.63835

Further reading

    1. Cell Biology
    Mathieu C Husser, Nhat P Pham ... Alisa Piekny
    Tools and Resources

    Endogenous tags have become invaluable tools to visualize and study native proteins in live cells. However, generating human cell lines carrying endogenous tags is difficult due to the low efficiency of homology-directed repair. Recently, an engineered split mNeonGreen protein was used to generate a large-scale endogenous tag library in HEK293 cells. Using split mNeonGreen for large-scale endogenous tagging in human iPSCs would open the door to studying protein function in healthy cells and across differentiated cell types. We engineered an iPS cell line to express the large fragment of the split mNeonGreen protein (mNG21-10) and showed that it enables fast and efficient endogenous tagging of proteins with the short fragment (mNG211). We also demonstrate that neural network-based image restoration enables live imaging studies of highly dynamic cellular processes such as cytokinesis in iPSCs. This work represents the first step towards a genome-wide endogenous tag library in human stem cells.

    1. Biochemistry and Chemical Biology
    2. Cell Biology
    Natalia Dolgova, Eva-Maria E Uhlemann ... Oleg Y Dmitriev
    Research Article

    Mediator of ERBB2-driven Cell Motility 1 (MEMO1) is an evolutionary conserved protein implicated in many biological processes; however, its primary molecular function remains unknown. Importantly, MEMO1 is overexpressed in many types of cancer and was shown to modulate breast cancer metastasis through altered cell motility. To better understand the function of MEMO1 in cancer cells, we analyzed genetic interactions of MEMO1 using gene essentiality data from 1028 cancer cell lines and found multiple iron-related genes exhibiting genetic relationships with MEMO1. We experimentally confirmed several interactions between MEMO1 and iron-related proteins in living cells, most notably, transferrin receptor 2 (TFR2), mitoferrin-2 (SLC25A28), and the global iron response regulator IRP1 (ACO1). These interactions indicate that cells with high MEMO1 expression levels are hypersensitive to the disruptions in iron distribution. Our data also indicate that MEMO1 is involved in ferroptosis and is linked to iron supply to mitochondria. We have found that purified MEMO1 binds iron with high affinity under redox conditions mimicking intracellular environment and solved MEMO1 structures in complex with iron and copper. Our work reveals that the iron coordination mode in MEMO1 is very similar to that of iron-containing extradiol dioxygenases, which also display a similar structural fold. We conclude that MEMO1 is an iron-binding protein that modulates iron homeostasis in cancer cells.