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The Human Virome

Overview of attention for book
Cover of 'The Human Virome'

Table of Contents

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    Book Overview
  2. Altmetric Badge
    Chapter 1 Flow Cytometry and Direct Sequencing of Viruses
  3. Altmetric Badge
    Chapter 2 Tissue-Based Universal Virus Detection (TUViD-VM) Protocol for Viral Metagenomics
  4. Altmetric Badge
    Chapter 3 Protocol for Generating Infectious RNA Viromes from Complex Biological Samples
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    Chapter 4 Phage on Tap: A Quick and Efficient Protocol for the Preparation of Bacteriophage Laboratory Stocks
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    Chapter 5 Extraction and Purification of Viruses from Fecal Samples for Metagenome and Morphology Analyses
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    Chapter 6 Virome Sequencing of Stool Samples
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    Chapter 7 NetoVIR: Modular Approach to Customize Sample Preparation Procedures for Viral Metagenomics
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    Chapter 8 Viral Genome Isolation from Human Faeces for Succession Assessment of the Human Gut Virome
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    Chapter 9 Introduction to Techniques and Methodologies for Characterizing the Human Respiratory Virome
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    Chapter 10 Targeted Sequencing of Respiratory Viruses in Clinical Specimens for Pathogen Identification and Genome-Wide Analysis
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    Chapter 11 Methods for Enrichment and Sequencing of Oral Viral Assemblages: Saliva, Oral Mucosa, and Dental Plaque Viromes
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    Chapter 12 A Method for Isolation of the Virome from Plasma Samples
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    Chapter 13 Viral Concentration and Amplification from Human Serum Samples Prior to Application of Next-Generation Sequencing Analysis
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    Chapter 14 Identification and Quantification of DNA Viral Populations in Human Urine Using Next-Generation Sequencing Approaches
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    Chapter 15 Diversity Analysis in Viral Metagenomes
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    Chapter 16 Construction of a Comprehensive Database from the Existing Viral Sequences Available from the International Nucleotide Sequence Database Collaboration
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    Chapter 17 Robust Analysis of Time Series in Virome Metagenomics
  19. Altmetric Badge
    Chapter 18 Bioinformatics Assembling and Assessment of Novel Coxsackievirus B1 Genome
Attention for Chapter 2: Tissue-Based Universal Virus Detection (TUViD-VM) Protocol for Viral Metagenomics
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Chapter title
Tissue-Based Universal Virus Detection (TUViD-VM) Protocol for Viral Metagenomics
Chapter number 2
Book title
The Human Virome
Published in
Methods in molecular biology, August 2018
DOI 10.1007/978-1-4939-8682-8_2
Pubmed ID
Book ISBNs
978-1-4939-8681-1, 978-1-4939-8682-8
Authors

Claudia Kohl, Andreas Kurth, Kohl, Claudia, Kurth, Andreas

Abstract

The protocol for tissue-based universal virus detection (TUViD-VM) was developed to allow for the detection of yet unknown viruses from infected tissues. Tissues are a challenging source when it comes to virus detection. The very rapid degradation rate of tissue and the high level of host nucleic acids are the biggest challenges when examining tissues. However, to overcome these challenges, we had to decrease the amount of host nucleic acids rigorously in order to increase the amount of viral nucleic acids. We compared modern and common virological approaches to find the optimal conditions. The final TUViD-VM protocol was extensively validated by using real-time PCR and next-generation sequencing. We could increase the amount of detectable virus nucleic acids and improved the detection of viruses <75,000-fold compared with other approaches tested. The TUViD-VM protocol can be used in metagenomic and virome studies to increase the likelihood of detecting viruses from any biological source. The protocol has been widely used to detect viruses in different tissues with great success. Here we provide the bench-top protocol version of the TUViD-VM protocol.

X Demographics

X Demographics

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

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 3 25%
Student > Master 3 25%
Student > Postgraduate 1 8%
Professor > Associate Professor 1 8%
Unknown 4 33%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 3 25%
Agricultural and Biological Sciences 2 17%
Immunology and Microbiology 2 17%
Unknown 5 42%
Attention Score in Context

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 22 August 2018.
All research outputs
#20,530,891
of 23,100,534 outputs
Outputs from Methods in molecular biology
#9,977
of 13,208 outputs
Outputs of similar age
#290,862
of 333,760 outputs
Outputs of similar age from Methods in molecular biology
#189
of 249 outputs
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So far Altmetric has tracked 13,208 research outputs from this source. They receive a mean Attention Score of 3.4. This one is in the 1st percentile – i.e., 1% of its peers scored the same or lower than it.
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We're also able to compare this research output to 249 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.