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Fluorescent Protein-Based Biosensors

Overview of attention for book
Cover of 'Fluorescent Protein-Based Biosensors'

Table of Contents

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    Book Overview
  2. Altmetric Badge
    Chapter 1 The Design and Application of Genetically Encodable Biosensors Based on Fluorescent Proteins
  3. Altmetric Badge
    Chapter 2 An Introduction to Fluorescence Imaging Techniques Geared Towards Biosensor Applications
  4. Altmetric Badge
    Chapter 3 Fluorescent Protein-Based Biosensors
  5. Altmetric Badge
    Chapter 4 Detecting cAMP with an Epac-Based FRET Sensor in Single Living Cells
  6. Altmetric Badge
    Chapter 5 Analysis of Compartmentalized cAMP: A Method to Compare Signals from Differently Targeted FRET Reporters
  7. Altmetric Badge
    Chapter 6 Genetically Encoded Fluorescent Biosensors for Live Cell Imaging of Lipid Dynamics
  8. Altmetric Badge
    Chapter 7 Live-Cell Imaging of Cytosolic NADH–NAD + Redox State Using a Genetically Encoded Fluorescent Biosensor
  9. Altmetric Badge
    Chapter 8 Measuring Membrane Voltage with Microbial Rhodopsins
  10. Altmetric Badge
    Chapter 9 Imaging the Activity of Ras Superfamily GTPase Proteins in Small Subcellular Compartments in Neurons
  11. Altmetric Badge
    Chapter 10 Imaging Kinase Activity at Protein Scaffolds
  12. Altmetric Badge
    Chapter 11 Using a Genetically Encoded FRET-Based Reporter to Visualize Calcineurin Phosphatase Activity in Living Cells
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    Chapter 12 Genetically Encoded FRET Indicators for Live-Cell Imaging of Histone Acetylation.
  14. Altmetric Badge
    Chapter 13 Genetically Encoded Fluorescent Biosensors for Live-Cell Imaging of MT1-MMP Protease Activity.
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    Chapter 14 Biosensor imaging in brain slice preparations.
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    Chapter 15 Optical Calcium Imaging Using DNA-Encoded Fluorescence Sensors in Transgenic Fruit Flies, Drosophila melanogaster.
  17. Altmetric Badge
    Chapter 16 A Multiparameter Live Cell Imaging Approach to Monitor Cyclic AMP and Protein Kinase A Dynamics in Parallel
  18. Altmetric Badge
    Chapter 17 FRET and BRET-Based Biosensors in Live Cell Compound Screens.
  19. Altmetric Badge
    Chapter 18 Integrating fluorescent biosensor data using computational models.
Attention for Chapter 14: Biosensor imaging in brain slice preparations.
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  • Above-average Attention Score compared to outputs of the same age and source (51st percentile)

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Chapter title
Biosensor imaging in brain slice preparations.
Chapter number 14
Book title
Fluorescent Protein-Based Biosensors
Published in
Methods in molecular biology, January 2014
DOI 10.1007/978-1-62703-622-1_14
Pubmed ID
Book ISBNs
978-1-62703-621-4, 978-1-62703-622-1
Authors

Marina Polito, Pierre Vincent, Elvire Guiot

Abstract

Cyclic-AMP dependent protein kinase (PKA) is present in most branches of the animal kingdom, and is an example in the nervous system where a kinase effector integrates the cellular effects of various neuromodulators. The recent development of FRET-based biosensors, such as AKAR, now allows the direct measurement of PKA activation in living cells by simply measuring the ratio between the fluorescence emission at the CFP and YFP wavelengths upon CFP excitation. This novel approach provides data with a temporal resolution of a few seconds at the cellular and even subcellular level, opening a new avenue of understanding the integration processes in space and time. Our protocol has been optimized to study morphologically intact mature neurons and we describe how simple and cheap wide-field imaging, as well as more elaborate two-photon imaging, allows real-time monitoring of PKA activation in pyramidal cortical neurons in neonate rodent brain slices. In addition, many practical details presented here also pertain to image analysis in other cellular preparations, such as cultured cells. Finally, this protocol can also be applied to the various other CFP-YFP-based FRET biosensors that are available for other kinases or other intracellular signals. It is likely that this kind of approach will be generally applicable to a broad range of assays in the near future.

Twitter Demographics

The data shown below were collected from the profile of 1 tweeter who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 12 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 12 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 5 42%
Professor > Associate Professor 4 33%
Student > Ph. D. Student 1 8%
Professor 1 8%
Unknown 1 8%
Readers by discipline Count As %
Agricultural and Biological Sciences 5 42%
Biochemistry, Genetics and Molecular Biology 3 25%
Medicine and Dentistry 2 17%
Chemistry 1 8%
Unknown 1 8%

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 23 September 2013.
All research outputs
#3,068,493
of 4,507,280 outputs
Outputs from Methods in molecular biology
#1,456
of 3,194 outputs
Outputs of similar age
#66,479
of 98,200 outputs
Outputs of similar age from Methods in molecular biology
#19
of 45 outputs
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So far Altmetric has tracked 3,194 research outputs from this source. They receive a mean Attention Score of 1.4. This one is in the 38th percentile – i.e., 38% of its peers scored the same or lower than it.
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We're also able to compare this research output to 45 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 51% of its contemporaries.