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AAV Vectors for FRET-Based Analysis of Protein-Protein Interactions in Photoreceptor Outer Segments

Overview of attention for article published in Frontiers in Neuroscience, July 2016
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Title
AAV Vectors for FRET-Based Analysis of Protein-Protein Interactions in Photoreceptor Outer Segments
Published in
Frontiers in Neuroscience, July 2016
DOI 10.3389/fnins.2016.00356
Pubmed ID
Authors

Elvir Becirovic, Sybille Böhm, Ong N. P. Nguyen, Lisa M. Riedmayr, Verena Hammelmann, Christian Schön, Elisabeth S. Butz, Christian Wahl-Schott, Martin Biel, Stylianos Michalakis

Abstract

Fluorescence resonance energy transfer (FRET) is a powerful method for the detection and quantification of stationary and dynamic protein-protein interactions. Technical limitations have hampered systematic in vivo FRET experiments to study protein-protein interactions in their native environment. Here, we describe a rapid and robust protocol that combines adeno-associated virus (AAV) vector-mediated in vivo delivery of genetically encoded FRET partners with ex vivo FRET measurements. The method was established on acutely isolated outer segments of murine rod and cone photoreceptors and relies on the high co-transduction efficiency of retinal photoreceptors by co-delivered AAV vectors. The procedure can be used for the systematic analysis of protein-protein interactions of wild type or mutant outer segment proteins in their native environment. Conclusively, our protocol can help to characterize the physiological and pathophysiological relevance of photoreceptor specific proteins and, in principle, should also be transferable to other cell types.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 14 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 14 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 4 29%
Student > Bachelor 2 14%
Professor > Associate Professor 2 14%
Professor 1 7%
Student > Postgraduate 1 7%
Other 0 0%
Unknown 4 29%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 3 21%
Neuroscience 3 21%
Agricultural and Biological Sciences 1 7%
Medicine and Dentistry 1 7%
Computer Science 1 7%
Other 0 0%
Unknown 5 36%
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 28 July 2016.
All research outputs
#22,759,452
of 25,374,647 outputs
Outputs from Frontiers in Neuroscience
#10,137
of 11,542 outputs
Outputs of similar age
#338,043
of 380,144 outputs
Outputs of similar age from Frontiers in Neuroscience
#132
of 147 outputs
Altmetric has tracked 25,374,647 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
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