Asymmetric clustering of centrosomes defines the early evolution of tetraploid cells

Abstract

Tetraploidy has long been of interest to both cell and cancer biologists, partly because of its documented role in tumorigenesis. A common model proposes that the extra centrosomes that are typically acquired during tetraploidization are responsible for driving tumorigenesis. However, tetraploid cells evolved in culture have been shown to lack extra centrosomes. This observation raises questions about how tetraploid cells evolve and more specifically about the mechanisms(s) underlying centrosome loss. Here, using a combination of fixed cell analysis, live cell imaging, and mathematical modeling, we show that populations of newly formed tetraploid cells rapidly evolve in vitro to retain a near-tetraploid chromosome number while losing the extra centrosomes gained at the time of tetraploidization. This appears to happen through a process of natural selection in which tetraploid cells that inherit a single centrosome during a bipolar division with asymmetric centrosome clustering are favored for long-term survival.

Data availability

All data generated during the study are provided in clearly labeled source data files in excel format.

Article and author information

Author details

  1. Nicolaas C Baudoin

    Biological Sciences and Fralin Life Sciences Institute, Virginia Tech, Blacksburg, United States
    Competing interests
    The authors declare that no competing interests exist.
  2. Joshua M Nicholson

    Department of Biological Sciences and Fralin Life Sciences Institute, Virginia Tech, Blacksburg, United States
    Competing interests
    The authors declare that no competing interests exist.
  3. Kimberly Soto

    Department of Biological Sciences and Fralin Life Sciences Institute, Virginia Tech, Blacksburg, United States
    Competing interests
    The authors declare that no competing interests exist.
  4. Olga Martin

    Department of Biological Sciences and Fralin Life Sciences Institute, Virginia Tech, Blacksburg, United States
    Competing interests
    The authors declare that no competing interests exist.
  5. Jing Chen

    Department of Biological Sciences and Fralin Life Sciences Institute, Virginia Tech, Blacksburg, United States
    For correspondence
    chenjing@vt.edu
    Competing interests
    The authors declare that no competing interests exist.
  6. Daniela Cimini

    Department of Biological Sciences and Fralin Life Sciences Institute, Virginia Tech, Blacksburg, United States
    For correspondence
    cimini@vt.edu
    Competing interests
    The authors declare that no competing interests exist.
    ORCID icon "This ORCID iD identifies the author of this article:" 0000-0002-4082-4894

Funding

Virginia Tech College of Science (Dean's Discovery Fund)

  • Daniela Cimini

Fralin Life Sciences Institute (Discretionary funds)

  • Daniela Cimini

ICTAS Center for Engineered Health (Seed funding)

  • Daniela Cimini

National Science Foundation (MCB-1517506)

  • Daniela Cimini

Virginia Tech Graduate School (BIOTRANS IGEP)

  • Nicolaas C Baudoin

The funders had no role in study design, data collection and interpretation, or the decision to submit the work for publication.

Reviewing Editor

  1. Jon Pines, Institute of Cancer Research Research, United Kingdom

Version history

  1. Received: December 19, 2019
  2. Accepted: April 28, 2020
  3. Accepted Manuscript published: April 29, 2020 (version 1)
  4. Version of Record published: May 26, 2020 (version 2)
  5. Version of Record updated: June 5, 2020 (version 3)

Copyright

© 2020, Baudoin 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

  • 2,818
    views
  • 483
    downloads
  • 28
    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. Nicolaas C Baudoin
  2. Joshua M Nicholson
  3. Kimberly Soto
  4. Olga Martin
  5. Jing Chen
  6. Daniela Cimini
(2020)
Asymmetric clustering of centrosomes defines the early evolution of tetraploid cells
eLife 9:e54565.
https://doi.org/10.7554/eLife.54565

Share this article

https://doi.org/10.7554/eLife.54565

Further reading

    1. Cell Biology
    2. Computational and Systems Biology
    Trine Line Hauge Okholm, Andreas Bjerregaard Kamstrup ... Christian Kroun Damgaard
    Research Article

    Circular RNAs represent a class of endogenous RNAs that regulate gene expression and influence cell biological decisions with implications for the pathogenesis of several diseases. Here, we disclose a novel gene-regulatory role of circHIPK3 by combining analyses of large genomics datasets and mechanistic cell biological follow-up experiments. Using time-course depletion of circHIPK3 and specific candidate RNA-binding proteins, we identify several perturbed genes by RNA sequencing analyses. Expression-coupled motif analyses identify an 11-mer motif within circHIPK3, which also becomes enriched in genes that are downregulated upon circHIPK3 depletion. By mining eCLIP datasets and combined with RNA immunoprecipitation assays, we demonstrate that the 11-mer motif constitutes a strong binding site for IGF2BP2 in bladder cancer cell lines. Our results suggest that circHIPK3 can sequester IGF2BP2 as a competing endogenous RNA (ceRNA), leading to target mRNA stabilization. As an example of a circHIPK3-regulated gene, we focus on the STAT3 mRNA as a specific substrate of IGF2BP2 and validate that manipulation of circHIPK3 regulates IGF2BP2-STAT3 mRNA binding and, thereby, STAT3 mRNA levels. Surprisingly, absolute copy number quantifications demonstrate that IGF2BP2 outnumbers circHIPK3 by orders of magnitude, which is inconsistent with a simple 1:1 ceRNA hypothesis. Instead, we show that circHIPK3 can nucleate multiple copies of IGF2BP2, potentially via phase separation, to produce IGF2BP2 condensates. Our results support a model where a few cellular circHIPK3 molecules can induce IGF2BP2 condensation, thereby regulating key factors for cell proliferation.

    1. Cell Biology
    2. Computational and Systems Biology
    N Suhas Jagannathan, Javier Yu Peng Koh ... Lisa Tucker-Kellogg
    Research Article

    Bats have unique characteristics compared to other mammals, including increased longevity and higher resistance to cancer and infectious disease. While previous studies have analyzed the metabolic requirements for flight, it is still unclear how bat metabolism supports these unique features, and no study has integrated metabolomics, transcriptomics, and proteomics to characterize bat metabolism. In this work, we performed a multi-omics data analysis using a computational model of metabolic fluxes to identify fundamental differences in central metabolism between primary lung fibroblast cell lines from the black flying fox fruit bat (Pteropus alecto) and human. Bat cells showed higher expression levels of Complex I components of electron transport chain (ETC), but, remarkably, a lower rate of oxygen consumption. Computational modeling interpreted these results as indicating that Complex II activity may be low or reversed, similar to an ischemic state. An ischemic-like state of bats was also supported by decreased levels of central metabolites and increased ratios of succinate to fumarate in bat cells. Ischemic states tend to produce reactive oxygen species (ROS), which would be incompatible with the longevity of bats. However, bat cells had higher antioxidant reservoirs (higher total glutathione and higher ratio of NADPH to NADP) despite higher mitochondrial ROS levels. In addition, bat cells were more resistant to glucose deprivation and had increased resistance to ferroptosis, one of the characteristics of which is oxidative stress. Thus, our studies revealed distinct differences in the ETC regulation and metabolic stress responses between human and bat cells.