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Coronaviruses

Overview of attention for book
Cover of 'Coronaviruses'

Table of Contents

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    Book Overview
  2. Altmetric Badge
    Chapter 1 Coronaviruses: An Overview of Their Replication and Pathogenesis
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    Chapter 2 Identification of a novel coronavirus from Guinea fowl using metagenomics.
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    Chapter 3 Serological diagnosis of feline coronavirus infection by immunochromatographic test.
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    Chapter 4 Estimation of Evolutionary Dynamics and Selection Pressure in Coronaviruses
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    Chapter 5 The Preparation of Chicken Tracheal Organ Cultures for Virus Isolation, Propagation, and Titration
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    Chapter 6 The Preparation of Chicken Kidney Cell Cultures for Virus Propagation
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    Chapter 7 Isolation and Propagation of Coronaviruses in Embryonated Eggs
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    Chapter 8 Characterization of Human Coronaviruses on Well-Differentiated Human Airway Epithelial Cell Cultures
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    Chapter 9 Quantification of Infectious Bronchitis Coronavirus by Titration In Vitro and In Ovo
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    Chapter 10 Purification of Coronavirus Virions for Cryo-EM and Proteomic Analysis.
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    Chapter 11 Partial Purification of IBV and Subsequent Isolation of Viral RNA for Next-Generation Sequencing
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    Chapter 12 Transient Dominant Selection for the Modification and Generation of Recombinant Infectious Bronchitis Coronaviruses
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    Chapter 13 Engineering Infectious cDNAs of Coronavirus as Bacterial Artificial Chromosomes
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    Chapter 14 Protein Histochemistry Using Coronaviral Spike Proteins: Studying Binding Profiles and Sialic Acid Requirements for Attachment to Tissues
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    Chapter 15 Identification of protein receptors for coronaviruses by mass spectrometry.
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    Chapter 16 Single Particle Tracking Assay to Study Coronavirus Membrane Fusion
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    Chapter 17 Studying coronavirus-host protein interactions.
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    Chapter 18 A field-proven yeast two-hybrid protocol used to identify coronavirus-host protein-protein interactions.
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    Chapter 19 Investigation of the Functional Roles of Host Cell Proteins Involved in Coronavirus Infection Using Highly Specific and Scalable RNA Interference (RNAi) Approach
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    Chapter 20 Transcriptome analysis of feline infectious peritonitis virus infection.
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    Chapter 21 Quantification of Interferon Signaling in Avian Cells
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    Chapter 22 Studying the Dynamics of Coronavirus Replicative Structures
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    Chapter 23 Preparation of Cultured Cells Using High-Pressure Freezing and Freeze Substitution for Subsequent 2D or 3D Visualization in the Transmission Electron Microscope
Attention for Chapter 18: A field-proven yeast two-hybrid protocol used to identify coronavirus-host protein-protein interactions.
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  • High Attention Score compared to outputs of the same age and source (87th percentile)

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Chapter title
A field-proven yeast two-hybrid protocol used to identify coronavirus-host protein-protein interactions.
Chapter number 18
Book title
Coronaviruses
Published in
Methods in molecular biology, February 2015
DOI 10.1007/978-1-4939-2438-7_18
Pubmed ID
Book ISBNs
978-1-4939-2437-0, 978-1-4939-2438-7
Authors

Pierre-Olivier Vidalain, Yves Jacob, Marne C Hagemeijer, Louis M Jones, Grégory Neveu, Jean-Pierre Roussarie, Peter J M Rottier, Frédéric Tangy, Cornelis A M de Haan, Marne C. Hagemeijer, Louis M. Jones, Peter J. M. Rottier, Cornelis A. M. de Haan, Vidalain, Pierre-Olivier, Jacob, Yves, Hagemeijer, Marne C., Jones, Louis M., Neveu, Grégory, Roussarie, Jean-Pierre, Rottier, Peter J. M., Tangy, Frédéric, de Haan, Cornelis A. M., Haan, Cornelis A. M.

Editors

Helena Jane Maier, Erica Bickerton, Paul Britton

Abstract

Over the last 2 decades, yeast two-hybrid became an invaluable technique to decipher protein-protein interaction networks. In the field of virology, it has proven instrumental to identify virus-host interactions that are involved in viral embezzlement of cellular functions and inhibition of immune mechanisms. Here, we present a yeast two-hybrid protocol that has been used in our laboratory since 2006 to search for cellular partners of more than 300 viral proteins. Our aim was to develop a robust and straightforward pipeline, which minimizes false-positive interactions with a decent coverage of target cDNA libraries, and only requires a minimum of equipment. We also discuss reasons that motivated our technical choices and compromises that had to be made. This protocol has been used to screen most non-structural proteins of murine hepatitis virus (MHV), a member of betacoronavirus genus, against a mouse brain cDNA library. Typical results were obtained and are presented in this report.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 29 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 29 100%

Demographic breakdown

Readers by professional status Count As %
Professor > Associate Professor 4 14%
Researcher 4 14%
Student > Master 3 10%
Student > Ph. D. Student 3 10%
Other 2 7%
Other 6 21%
Unknown 7 24%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 6 21%
Nursing and Health Professions 3 10%
Medicine and Dentistry 3 10%
Agricultural and Biological Sciences 3 10%
Neuroscience 2 7%
Other 4 14%
Unknown 8 28%
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 02 March 2023.
All research outputs
#6,360,271
of 23,467,261 outputs
Outputs from Methods in molecular biology
#1,882
of 13,339 outputs
Outputs of similar age
#87,332
of 361,020 outputs
Outputs of similar age from Methods in molecular biology
#125
of 984 outputs
Altmetric has tracked 23,467,261 research outputs across all sources so far. This one has received more attention than most of these and is in the 72nd percentile.
So far Altmetric has tracked 13,339 research outputs from this source. They receive a mean Attention Score of 3.4. 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 361,020 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 75% of its contemporaries.
We're also able to compare this research output to 984 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 87% of its contemporaries.