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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
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    Chapter 2 An Introduction to Fluorescence Imaging Techniques Geared Towards Biosensor Applications
  4. Altmetric Badge
    Chapter 3 Fluorescent Protein-Based Biosensors
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    Chapter 4 Detecting cAMP with an Epac-Based FRET Sensor in Single Living Cells
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    Chapter 5 Analysis of Compartmentalized cAMP: A Method to Compare Signals from Differently Targeted FRET Reporters
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    Chapter 6 Genetically Encoded Fluorescent Biosensors for Live Cell Imaging of Lipid Dynamics
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    Chapter 7 Live-Cell Imaging of Cytosolic NADH–NAD + Redox State Using a Genetically Encoded Fluorescent Biosensor
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    Chapter 8 Measuring Membrane Voltage with Microbial Rhodopsins
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    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
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    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.
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    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.
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    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 17: FRET and BRET-Based Biosensors in Live Cell Compound Screens.
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age and source (51st percentile)

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Chapter title
FRET and BRET-Based Biosensors in Live Cell Compound Screens.
Chapter number 17
Book title
Fluorescent Protein-Based Biosensors
Published in
Methods in molecular biology, January 2014
DOI 10.1007/978-1-62703-622-1_17
Pubmed ID
Book ISBNs
978-1-62703-621-4, 978-1-62703-622-1
Authors

Katie Herbst Robinson, Jessica R Yang, Jin Zhang, Jessica R. Yang

Abstract

Live cell compound screening with genetically encoded fluorescence or bioluminescence-based biosensors offers a potentially powerful approach to identify novel regulators of a signaling event of interest. In particular, compound screening in living cells has the added benefit that the entire signaling network remains intact, and thus the screen is not just against a single molecule of interest but against any molecule within the signaling network that may modulate the distinct signaling event reported by the biosensor in use. Furthermore, only molecules that are cell permeable or act at cell surface receptors will be identified as "hits," thus reducing further optimization of the compound in terms of cell penetration. Here we discuss a detailed protocol for using genetically encoded biosensors in living cells in a 96-well format for the execution of high throughput compound screens and the identification of small molecules which modulate a signaling event of interest.

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 22 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 1 5%
Unknown 21 95%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 5 23%
Researcher 3 14%
Student > Bachelor 3 14%
Student > Master 3 14%
Professor > Associate Professor 2 9%
Other 2 9%
Unknown 4 18%
Readers by discipline Count As %
Agricultural and Biological Sciences 8 36%
Biochemistry, Genetics and Molecular Biology 5 23%
Neuroscience 2 9%
Chemistry 2 9%
Engineering 1 5%
Other 0 0%
Unknown 4 18%

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
Altmetric has tracked 4,507,280 research outputs across all sources so far. This one is in the 20th percentile – i.e., 20% of other outputs scored the same or lower than it.
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.
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 98,200 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 20th percentile – i.e., 20% of its contemporaries scored the same or lower than it.
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.