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    iRFP (near-infrared fluorescent protein) imaging of subcutaneous and deep tissue tumours in mice highlights differences between imaging platforms

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    Authors
    Hall, Callum
    von Grabowiecki, Yannick
    Pearce, Simon P
    Dive, Caroline
    Bagley, Steven
    Muller, Patricia
    Affiliation
    Tumour Suppressors Group, CRUK Manchester Institute, University of Manchester, Alderley Park, Manchester, SK10 4T
    Issue Date
    2021
    
    Metadata
    Show full item record
    Abstract
    Background: In vivo imaging using fluorescence is used in cancer biology for the detection, measurement and monitoring of tumours. This can be achieved with the expression of fluorescent proteins such as iRFP, which emits light at a wavelength less attenuated in biological tissues compared to light emitted by other fluorescent proteins such as GFP or RFP. Imaging platforms capable of detecting fluorescent tumours in small animals have been developed but studies comparing the performance of these platforms are scarce. Results: Through access to three platforms from Xenogen, Bruker and Li-Cor, we compared their ability to detect iRFP-expressing subcutaneous tumours as well as tumours localised deeper within the body of female NSG mice. Each platform was paired with proprietary software for image analyse, but the output depends on subjective decisions from the user. To more objectively compare platforms, we developed an 'in house' software-based approach which results in lower measured variability between mice. Conclusions: Our comparisons showed that all three platforms allowed for reliable detection and monitoring of subcutaneous iRFP tumour growth. The biggest differences between platforms became apparent when imaging deeper tumours with the Li-Cor platform detecting most tumours and showing the highest dynamic range.
    Citation
    Hall C, von Grabowiecki Y, Pearce SP, Dive C, Bagley S, Muller PAJ. iRFP (near-infrared fluorescent protein) imaging of subcutaneous and deep tissue tumours in mice highlights differences between imaging platforms. Cancer Cell Int. 2021 May 3;21(1).
    Journal
    Cancer Cell International
    URI
    http://hdl.handle.net/10541/624046
    DOI
    10.1186/s12935-021-01918-8
    PubMed ID
    33941186
    Additional Links
    https://dx.doi.org/10.1186/s12935-021-01918-8
    Type
    Article
    Language
    en
    ae974a485f413a2113503eed53cd6c53
    10.1186/s12935-021-01918-8
    Scopus Count
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    All Paterson Institute for Cancer Research

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