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Advances in In Vivo Bioluminescence Imaging of Gene Expression

Contag, Christopher H., Bachmann, Michael H.·2002·Annual Review of Biomedical Engineering

Abstract

▪ Abstract To advance our understanding of biological processes as they occur in living animals, imaging strategies have been developed and refined that reveal cellular and molecular features of biology and disease in real time. One rapid and accessible technology for in vivo analysis employs internal biological sources of light emitted from luminescent enzymes, luciferases, to label genes and cells. Combining this reporter system with the new generation of charge coupled device (CCD) cameras that detect the light transmitted through the animal's tissues has opened the door to sensitive in vivo measurements of mammalian gene expression in living animals. Here, we review the development and application of this imaging strategy, in vivo bioluminescence imaging (BLI), together with in vivo fluorescence imaging methods, which has enabled the real-time study of immune cell trafficking, of various genetic regulatory elements in transgenic mice, and of in vivo gene transfer. BLI has been combined with fluorescence methods that together offer access to in vivo measurements that were not previously available. Such studies will greatly facilitate the functional analysis of a wide range of genes for their roles in health and disease.

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Metadata

Authors
Contag, C. H., & Bachmann, M. H.
Venue
Annual Review of Biomedical Engineering
Published
2002-08
Volume
4
Issue
1
Pages
235-260
ISSN
  • 1523-9829 (ISSN-L)
  • 1545-4274
OpenAlex
W2170405846
Cited by
870
References
2
FWCI
1.91
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Advances in In Vivo Bioluminescence Imaging of Gene Expression. https://app.cochat.ai/papers/10.1146/annurev.bioeng.4.111901.093336
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Contag, C. H., & Bachmann, M. H. (2002). Advances in In Vivo Bioluminescence Imaging of Gene Expression. Annual Review of Biomedical Engineering. https://doi.org/10.1146/annurev.bioeng.4.111901.093336

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.