FB2026_01 , released March 12, 2026
FB2026_01 , released March 12, 2026
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Citation
Bar-Shir, A., Alon, L., Korrer, M.J., Lim, H.S., Yadav, N.N., Kato, Y., Pathak, A.P., Bulte, J.W.M., Gilad, A.A. (2018). Quantification and tracking of genetically engineered dendritic cells for studying immunotherapy.  Magn. Reson. Med. 79(2): 1010--1019.
FlyBase ID
FBrf0237696
Publication Type
Research paper
Abstract
Genetically encoded reporters can assist in visualizing biological processes in live organisms and have been proposed for longitudinal and noninvasive tracking of therapeutic cells in deep tissue. Cells can be labeled in situ or ex vivo and followed in live subjects over time. Nevertheless, a major challenge for reporter systems is to identify the cell population that actually expresses an active reporter. We have used a nucleoside analog, pyrrolo-2'-deoxycytidine, as an imaging probe for the putative reporter gene, Drosophila melanogaster 2'-deoxynucleoside kinase. Bioengineered cells were imaged in vivo in animal models of brain tumor and immunotherapy using chemical exchange saturation transfer MRI. The number of transduced cells was quantified by flow cytometry based on the optical properties of the probe. We performed a comparative analysis of six different cell lines and demonstrate utility in a mouse model of immunotherapy. The proposed technology can be used to quantify the number of labeled cells in a given region, and moreover is sensitive enough to detect less than 10,000 cells. This unique technology that enables efficient selection of labeled cells followed by in vivo monitoring with both optical and MRI. Magn Reson Med 79:1010-1019, 2018. © 2017 International Society for Magnetic Resonance in Medicine.
PubMed ID
PubMed Central ID
PMC5797672 (PMC) (EuropePMC)
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    Language of Publication
    English
    Additional Languages of Abstract
    Parent Publication
    Publication Type
    Journal
    Abbreviation
    Magn. Reson. Med.
    Title
    Magnetic resonance in medicine
    ISBN/ISSN
    0740-3194 1522-2594
    Data From Reference
    Genes (1)