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Imaging Glycosylation In Vivo by Metabolic Labeling and Magnetic Resonance Imaging

Authors: Neves, André A; Wainman, Yéléna A; Wright, Alan; Kettunen, Mikko I; Rodrigues, Tiago B; McGuire, Sarah; Hu, De-En; +5 Authors
APC: 1,741.65 EUR

Imaging Glycosylation In Vivo by Metabolic Labeling and Magnetic Resonance Imaging

Abstract

AbstractGlycosylation is a ubiquitous post‐translational modification, present in over 50 % of the proteins in the human genome, with important roles in cell–cell communication and migration. Interest in glycome profiling has increased with the realization that glycans can be used as biomarkers of many diseases, including cancer. We report here the first tomographic imaging of glycosylated tissues in live mice by using metabolic labeling and a gadolinium‐based bioorthogonal MRI probe. Significant N‐azidoacetylgalactosamine dependent T1 contrast was observed in vivo two hours after probe administration. Tumor, kidney, and liver showed significant contrast, and several other tissues, including the pancreas, spleen, heart, and intestines, showed a very high contrast (>10‐fold). This approach has the potential to enable the rapid and non‐invasive magnetic resonance imaging of glycosylated tissues in vivo in preclinical models of disease.

Countries
Italy, United Kingdom
Keywords

Glycosylation, Krebs, Carbohydrates, Bioorthogonale Chemie, Gadolinium, Zuschriften, Glykane, bioorthogonal chemistry, Magnetic Resonance Imaging, Communications, Mice, Molecular Probes, cancer, glycans, magnetic resonance imaging, Animals, Tissue Distribution, gadolinium, Magnetresonanztomographie, Bioorthogonale Chemie; Gadolinium; Glykane; Krebs; Magnetresonanztomographie

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    selected citations
    These citations are derived from selected sources.
    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    31
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Top 10%
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Top 10%
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Top 10%
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
31
Top 10%
Top 10%
Top 10%
Green
hybrid
Related to Research communities
Cancer Research