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Drosophila

Overview of attention for book
Cover of 'Drosophila'

Table of Contents

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    Book Overview
  2. Altmetric Badge
    Chapter 1 Using FlyBase, a Database of Drosophila Genes and Genomes.
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    Chapter 2 The GAL4 System: A Versatile System for the Manipulation and Analysis of Gene Expression.
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    Chapter 3 The Q-System: A Versatile Expression System for Drosophila.
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    Chapter 4 Analysis of MicroRNA Function in Drosophila.
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    Chapter 5 Methods for High-Throughput RNAi Screening in Drosophila Cells.
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    Chapter 6 A Guide to Genome-Wide In Vivo RNAi Applications in Drosophila.
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    Chapter 7 Creating Heritable Mutations in Drosophila with CRISPR-Cas9.
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    Chapter 8 Performing Chromophore-Assisted Laser Inactivation in Drosophila Embryos Using GFP.
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    Chapter 9 deGradFP: A System to Knockdown GFP-Tagged Proteins.
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    Chapter 10 Drosophila
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    Chapter 11 Cultivation and Live Imaging of Drosophila Imaginal Discs.
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    Chapter 12 Cultivation and Live Imaging of Drosophila Ovaries.
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    Chapter 13 Segmentation and Quantitative Analysis of Epithelial Tissues.
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    Chapter 14 Laser Ablation to Probe the Epithelial Mechanics in Drosophila.
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    Chapter 15 Rapid Ovary Mass-Isolation (ROMi) to Obtain Large Quantities of Drosophila Egg Chambers for Fluorescent In Situ Hybridization.
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    Chapter 16 Drosophila
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    Chapter 17 Protocols to Study Growth and Metabolism in Drosophila.
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    Chapter 18 Protocols to Study Aging in Drosophila.
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    Chapter 19 Protocols to Study Behavior in Drosophila.
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    Chapter 20 Electrophysiological Recordings from Lobula Plate Tangential Cells in Drosophila.
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    Chapter 21 Methods to Establish Drosophila Cell Lines.
  23. Altmetric Badge
    Chapter 22 Erratum to: The GAL4 System: A Versatile System for the Manipulation and Analysis of Gene Expression
Attention for Chapter 9: deGradFP: A System to Knockdown GFP-Tagged Proteins.
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  • In the top 5% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (96th percentile)
  • High Attention Score compared to outputs of the same age and source (99th percentile)

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Chapter title
deGradFP: A System to Knockdown GFP-Tagged Proteins.
Chapter number 9
Book title
Drosophila
Published in
Methods in molecular biology, January 2016
DOI 10.1007/978-1-4939-6371-3_9
Pubmed ID
Book ISBNs
978-1-4939-6369-0, 978-1-4939-6371-3
Authors

Emmanuel Caussinus, Markus Affolter, Caussinus, Emmanuel, Affolter, Markus, Anthony L. Komaroff, Komaroff, Anthony L.

Editors

Christian Dahmann

Abstract

Protein depletion by genetic means, in a very general sense including the use of RNA interference [1, 2] or CRISPR/Cas9-based methods, represents a central paradigm of modern biology to study protein functions in vivo. However, acting upstream the proteic level is a limiting factor if the turnover of the target protein is slow or the existing pool of the target protein is important (for instance, in insect embryos, as a consequence of a strong maternal contribution). In order to circumvent these problems, we developed deGradFP [3, 4]. deGradFP harnesses the ubiquitin-proteasome pathway to achieve direct depletion of GFP-tagged proteins. deGradFP is in essence a universal method because it relies on an evolutionarily conserved machinery for protein catabolism in eukaryotic cells; see refs. 5, 6 for review. deGradFP is particularly convenient in Drosophila melanogaster where it is implemented by a genetically encoded effector expressed under the control of the Gal4 system. deGradFP is a ready-to-use solution to perform knockdowns at the protein level if a fly line carrying a functional GFP-tagged version of the gene of interest is available. Many such lines have already been generated by the Drosophila community through different technologies allowing to make genomic rescue constructs or direct GFP knockins: protein-trap stock collections [7, 8] ( http://cooley.medicine.yale.edu/flytrap/ , http://www.flyprot.org/ ), P[acman] system [9], MiMIC lines [10, 11], and CRISPR/Cas9-driven homologous recombination.Two essential controls of a protein knockdown experiment are easily achieved using deGradFP. First, the removal of the target protein can be assessed by monitoring the disappearance of the GFP tag by fluorescence microscopy in parallel to the documentation of the phenotype of the protein knockdown (see Note 1 ). Second, the potential nonspecific effects of deGradFP can be assessed in control fly lacking a GFP-tagged target protein. So far, no nonspecific effects of the deGradFP effector have been reported [3].

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 93 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 93 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 19 20%
Researcher 17 18%
Student > Master 11 12%
Student > Bachelor 6 6%
Professor 4 4%
Other 9 10%
Unknown 27 29%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 36 39%
Agricultural and Biological Sciences 19 20%
Immunology and Microbiology 3 3%
Chemical Engineering 1 1%
Pharmacology, Toxicology and Pharmaceutical Science 1 1%
Other 6 6%
Unknown 27 29%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 48. 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 12 May 2020.
All research outputs
#884,958
of 25,918,104 outputs
Outputs from Methods in molecular biology
#61
of 14,401 outputs
Outputs of similar age
#15,058
of 404,129 outputs
Outputs of similar age from Methods in molecular biology
#9
of 1,467 outputs
Altmetric has tracked 25,918,104 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 96th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 14,401 research outputs from this source. They receive a mean Attention Score of 3.5. This one has done particularly well, scoring higher than 99% 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 404,129 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 96% of its contemporaries.
We're also able to compare this research output to 1,467 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 99% of its contemporaries.