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Genetically-encoded tools for cAMP probing and modulation in living systems

Overview of attention for article published in Frontiers in Pharmacology, September 2015
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  • Good Attention Score compared to outputs of the same age (73rd percentile)
  • Good Attention Score compared to outputs of the same age and source (78th percentile)

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Title
Genetically-encoded tools for cAMP probing and modulation in living systems
Published in
Frontiers in Pharmacology, September 2015
DOI 10.3389/fphar.2015.00196
Pubmed ID
Authors

Valeriy M. Paramonov, Veronika Mamaeva, Cecilia Sahlgren, Adolfo Rivero-Müller

Abstract

Intracellular 3'-5'-cyclic adenosine monophosphate (cAMP) is one of the principal second messengers downstream of a manifold of signal transduction pathways, including the ones triggered by G protein-coupled receptors. Not surprisingly, biochemical assays for cAMP have been instrumental for basic research and drug discovery for decades, providing insights into cellular physiology and guiding pharmaceutical industry. However, despite impressive track record, the majority of conventional biochemical tools for cAMP probing share the same fundamental shortcoming-all the measurements require sample disruption for cAMP liberation. This common bottleneck, together with inherently low spatial resolution of measurements (as cAMP is typically analyzed in lysates of thousands of cells), underpin the ensuing limitations of the conventional cAMP assays: (1) genuine kinetic measurements of cAMP levels over time in a single given sample are unfeasible; (2) inability to obtain precise information on cAMP spatial distribution and transfer at subcellular levels, let alone the attempts to pinpoint dynamic interactions of cAMP and its effectors. At the same time, tremendous progress in synthetic biology over the recent years culminated in drastic refinement of our toolbox, allowing us not only to bypass the limitations of conventional assays, but to put intracellular cAMP life-span under tight control-something, that seemed scarcely attainable before. In this review article we discuss the main classes of modern genetically-encoded tools tailored for cAMP probing and modulation in living systems. We examine the capabilities and weaknesses of these different tools in the context of their operational characteristics and applicability to various experimental set-ups involving living cells, providing the guidance for rational selection of the best tools for particular needs.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 110 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Finland 1 <1%
Denmark 1 <1%
China 1 <1%
Unknown 107 97%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 32 29%
Researcher 20 18%
Student > Bachelor 14 13%
Student > Master 11 10%
Student > Postgraduate 6 5%
Other 13 12%
Unknown 14 13%
Readers by discipline Count As %
Agricultural and Biological Sciences 27 25%
Biochemistry, Genetics and Molecular Biology 24 22%
Neuroscience 10 9%
Medicine and Dentistry 8 7%
Chemistry 7 6%
Other 17 15%
Unknown 17 15%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 5. 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 25 June 2022.
All research outputs
#6,027,717
of 22,745,803 outputs
Outputs from Frontiers in Pharmacology
#2,342
of 15,994 outputs
Outputs of similar age
#71,165
of 268,720 outputs
Outputs of similar age from Frontiers in Pharmacology
#21
of 93 outputs
Altmetric has tracked 22,745,803 research outputs across all sources so far. This one has received more attention than most of these and is in the 73rd percentile.
So far Altmetric has tracked 15,994 research outputs from this source. They receive a mean Attention Score of 4.9. This one has done well, scoring higher than 85% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 268,720 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 73% of its contemporaries.
We're also able to compare this research output to 93 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 78% of its contemporaries.