Skip to main content
bioRxiv
  • Home
  • About
  • Submit
  • ALERTS / RSS
Advanced Search
New Results

Magnetic resonance imaging for characterisation of a chick embryo model of cancer cell metastases

Anne Herrmann, Arthur Taylor, View ORCID ProfilePatricia Murray, View ORCID ProfileHarish Poptani, View ORCID ProfileViolaine Sée
doi: https://doi.org/10.1101/223891
Anne Herrmann
1Department of Biochemistry, University of Liverpool, Liverpool, L69 7ZB, UK
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Arthur Taylor
2Centre for Preclinical Imaging, Department of Cellular and Molecular Physiology, University of Liverpool, Liverpool, L69 7ZB, UK
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Patricia Murray
2Centre for Preclinical Imaging, Department of Cellular and Molecular Physiology, University of Liverpool, Liverpool, L69 7ZB, UK
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
  • ORCID record for Patricia Murray
Harish Poptani
2Centre for Preclinical Imaging, Department of Cellular and Molecular Physiology, University of Liverpool, Liverpool, L69 7ZB, UK
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
  • ORCID record for Harish Poptani
Violaine Sée
1Department of Biochemistry, University of Liverpool, Liverpool, L69 7ZB, UK
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
  • ORCID record for Violaine Sée
  • For correspondence: violaine@liverpool.ac.uk
  • Abstract
  • Full Text
  • Info/History
  • Metrics
  • Preview PDF
Loading

ABSTRACT

Background Metastasis is the most common cause of death for cancer patients, hence its study has rapidly expanded over the past few years. To fully understand all the steps involved in metastatic dissemination, in vivo models are required, of which murine ones are the most common. Therefore pre-clinical imaging methods have mainly been developed for small mammals. However, the potential of preclinical imaging techniques such as magnetic resonance imaging (MRI) to monitor cancer growth and metastasis in non-mammalian in vivo models is not commonly used. We have here used MRI to measure primary neuroblastoma tumour size and presence of metastatic dissemination in a chick embryo model. We compared its sensitivity and accuracy to end-point fluorescence detection.

Methods Human neuroblastoma cells were labelled with GFP and micron-sized iron particles (MPIOs) and implanted on the extraembryonic chorioallantoic membrane of the chick embryo at E7. T2 RARE, T2 weighted FLASH as well as time-of-flight MR angiography imaging was applied at E14. Primary tumours as well as metastatic deposits in the chick embryo were dissected post imaging to compare with MRI results.

Results MPIO labelling of neuroblastoma cells allowed in ovo observation of the primary tumour and tumour volume measurement non-invasively over time. Moreover, T2 weighted and FLASH imaging permitted the detection of very small metastatic deposits in the chick embryo.

Conclusions The use of contrast agents enabled the detection of metastatic deposits of neuroblastoma cells in a chick embryo model, thereby reinforcing the potential of this cost efficient and convenient, 3R compliant, in vivo model for cancer research.

  • LIST OF ABBREVIATIONS

    BLI
    bioluminescence imaging
    CAM
    chorioallantoic membrane
    DMOG
    Dimethyloxalylglycine
    FLASH
    fast low angle shot
    H&E
    haematoxylin and eosin
    MPIOs
    micron-sized iron particles
    MRI
    magnetic resonance imaging
    PBS
    phosphate buffered saline
    PET
    positron emission tomography
    ToF MRA
    time-of-flight MR angiography
  • Copyright 
    The copyright holder for this preprint is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is made available under a CC-BY 4.0 International license.
    Back to top
    PreviousNext
    Posted November 22, 2017.
    Download PDF
    Email

    Thank you for your interest in spreading the word about bioRxiv.

    NOTE: Your email address is requested solely to identify you as the sender of this article.

    Enter multiple addresses on separate lines or separate them with commas.
    Magnetic resonance imaging for characterisation of a chick embryo model of cancer cell metastases
    (Your Name) has forwarded a page to you from bioRxiv
    (Your Name) thought you would like to see this page from the bioRxiv website.
    CAPTCHA
    This question is for testing whether or not you are a human visitor and to prevent automated spam submissions.
    Share
    Magnetic resonance imaging for characterisation of a chick embryo model of cancer cell metastases
    Anne Herrmann, Arthur Taylor, Patricia Murray, Harish Poptani, Violaine Sée
    bioRxiv 223891; doi: https://doi.org/10.1101/223891
    Digg logo Reddit logo Twitter logo Facebook logo Google logo LinkedIn logo Mendeley logo
    Citation Tools
    Magnetic resonance imaging for characterisation of a chick embryo model of cancer cell metastases
    Anne Herrmann, Arthur Taylor, Patricia Murray, Harish Poptani, Violaine Sée
    bioRxiv 223891; doi: https://doi.org/10.1101/223891

    Citation Manager Formats

    • BibTeX
    • Bookends
    • EasyBib
    • EndNote (tagged)
    • EndNote 8 (xml)
    • Medlars
    • Mendeley
    • Papers
    • RefWorks Tagged
    • Ref Manager
    • RIS
    • Zotero
    • Tweet Widget
    • Facebook Like
    • Google Plus One

    Subject Area

    • Cancer Biology
    Subject Areas
    All Articles
    • Animal Behavior and Cognition (3575)
    • Biochemistry (7520)
    • Bioengineering (5479)
    • Bioinformatics (20677)
    • Biophysics (10258)
    • Cancer Biology (7931)
    • Cell Biology (11583)
    • Clinical Trials (138)
    • Developmental Biology (6563)
    • Ecology (10136)
    • Epidemiology (2065)
    • Evolutionary Biology (13540)
    • Genetics (9498)
    • Genomics (12788)
    • Immunology (7872)
    • Microbiology (19451)
    • Molecular Biology (7614)
    • Neuroscience (41875)
    • Paleontology (306)
    • Pathology (1252)
    • Pharmacology and Toxicology (2179)
    • Physiology (3249)
    • Plant Biology (7007)
    • Scientific Communication and Education (1291)
    • Synthetic Biology (1942)
    • Systems Biology (5406)
    • Zoology (1107)