Chapter title |
Optimized Recovery of Viral DNA and RNA from Blood Plasma for Viral Metagenomics.
|
---|---|
Book title |
Viral Metagenomics
|
Published in |
Methods in molecular biology, January 2024
|
DOI | 10.1007/978-1-0716-3515-5_11 |
Pubmed ID | |
Book ISBNs |
978-1-07-163514-8, 978-1-07-163515-5
|
Authors |
Cebriá-Mendoza, María, Díaz, Wladimiro, Sanjuán, Rafael, Cuevas, José M, Cuevas, José M., María Cebriá-Mendoza, Wladimiro Díaz, Rafael Sanjuán, José M. Cuevas |
Abstract |
Metagenomics is vastly improving our ability to discover new viruses, as well as their possible associations with disease. However, metagenomics has also changed our understanding of viruses in general. This is because we can find viruses in healthy hosts in the absence of disease, which changes the perspective of viruses as mere pathogens and offers a new perspective in which viruses function as important components of ecosystems. In concrete, human blood metagenomics has revealed the presence of different types of viruses in apparently healthy subjects. These viruses are human anelloviruses and, to a lower extent, human pegiviruses. Viral metagenomics' major challenge is the correct isolation of the viral nucleic acids from a specific sample. For the protocol to be successful, all steps must be carefully chosen, in particular those that optimize the recovery of viral nucleic acids. Here, we present a procedure that allows the recovery of both DNA and RNA viruses from plasma samples. |
X Demographics
As of 1 July 2024, you may notice a temporary increase in the numbers of X profiles with Unknown location. Click here to learn more.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 2 | 100% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 2 | 100% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 3 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Researcher | 1 | 33% |
Unknown | 2 | 67% |
Readers by discipline | Count | As % |
---|---|---|
Agricultural and Biological Sciences | 1 | 33% |
Unknown | 2 | 67% |