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The Nuclear Receptor Superfamily

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Attention for Chapter 13: In Vivo Imaging of Nuclear Receptor Transcriptional Activity
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Chapter title
In Vivo Imaging of Nuclear Receptor Transcriptional Activity
Chapter number 13
Book title
The Nuclear Receptor Superfamily
Published in
Methods in molecular biology, January 2016
DOI 10.1007/978-1-4939-3724-0_13
Pubmed ID
Book ISBNs
978-1-4939-3722-6, 978-1-4939-3724-0
Authors

D. Alwyn Dart, Charlotte L. Bevan, Dart, D. Alwyn, Bevan, Charlotte L.

Abstract

Nuclear receptors drive key processes during development, reproduction, metabolism, and disease. In order to understand and analyze, as well as manipulate, their actions it is imperative that we are able to study them in whole animals and in a spatiotemporal manner. The increasing repertoire of transgenic animals, expressing reporter genes driven by a specific nuclear receptor, enables us to do this. Use of luciferase reporter genes is the method of choice of many researchers as it is well tolerated, relatively easy to use, and robust. Further, luciferase lends itself to the process as it can penetrate tissue and can be manipulated to degrade rapidly thus allowing a dynamic response. However, limited resolution, lack of quantitation, and the largely two-dimensional images acquired make it desirable to support results using ex vivo imaging and enzymatic and/or immunohistochemical analysis of dissected tissue. As well as enabling the visualization of nuclear receptor signaling in wild-type animals, crossing these mouse models with models of disease will provide invaluable information on how such signaling is dysregulated during disease progression, and how we may manipulate nuclear receptor signaling in therapy. The use of in vivo imaging therefore provides the power to determine where and when in development, aging, and disease nuclear receptors are active and how ligands or receptor modulators affect this.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 5 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 5 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 1 20%
Student > Ph. D. Student 1 20%
Student > Bachelor 1 20%
Student > Master 1 20%
Unknown 1 20%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 1 20%
Nursing and Health Professions 1 20%
Computer Science 1 20%
Neuroscience 1 20%
Unknown 1 20%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 02 June 2016.
All research outputs
#18,611,191
of 23,054,359 outputs
Outputs from Methods in molecular biology
#7,982
of 13,196 outputs
Outputs of similar age
#285,760
of 394,794 outputs
Outputs of similar age from Methods in molecular biology
#845
of 1,471 outputs
Altmetric has tracked 23,054,359 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 13,196 research outputs from this source. They receive a mean Attention Score of 3.4. This one is in the 24th percentile – i.e., 24% of its peers scored the same or lower than it.
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We're also able to compare this research output to 1,471 others from the same source and published within six weeks on either side of this one. This one is in the 28th percentile – i.e., 28% of its contemporaries scored the same or lower than it.