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Cited by 334

The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.

Noninvasive imaging of protein–protein interactions in living subjects by using reporter protein complementation and reconstitution strategies

Open access
Paulmurugan, R., Umezawa, Y., Gambhir, S. S.·2002·Proceedings of the National Academy of Sciences

Abstract

In this study we have developed bioluminescence-imaging strategies to noninvasively and quantitatively image protein—protein interactions in living mice by using a cooled charge-coupled device camera and split reporter technology. We validate both complementation and intein-mediated reconstitution of split firefly luciferase proteins driven by the interaction of two strongly interacting proteins, MyoD and Id. We use transient transfection of cells and image MyoD–Id interaction after induction of gene expression in cell culture and in cells implanted into living mice. Techniques to study protein–protein interactions in living subjects will allow the study of cellular networks, including signal transduction pathways, as well as development and optimization of pharmaceuticals for modulating protein–protein interactions.

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Crossref · 10.1073/pnas.242594299

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Metadata

Authors
Paulmurugan, R., Umezawa, Y., & Gambhir, S. S.
Venue
Proceedings of the National Academy of Sciences
Published
2002-11-18
Volume
99
Issue
24
Pages
15608-15613
ISSN
  • 0027-8424 (ISSN-L)
  • 1091-6490
OpenAlex
W1620954807
Cited by
334
References
1
FWCI
7.34
Type
journal article
Language
en
Open access
green

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CoChat. (2026). Citation check: Noninvasive imaging of protein–protein interactions in living subjects by using reporter protein complementation and reconstitution strategies. https://app.cochat.ai/papers/10.1073/pnas.242594299
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Paulmurugan, R., Umezawa, Y., & Gambhir, S. S. (2002). Noninvasive imaging of protein–protein interactions in living subjects by using reporter protein complementation and reconstitution strategies. Proceedings of the National Academy of Sciences. https://doi.org/10.1073/pnas.242594299

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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.