Virome Sequencing of Stool Samples

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11130%2F18%3A10384954" target="_blank" >RIV/00216208:11130/18:10384954 - isvavai.cz</a>

Nalezeny alternativní kódy

RIV/00064203:_____/18:10384954

Výsledek na webu

<a href="https://doi.org/10.1007/978-1-4939-8682-8_6" target="_blank" >https://doi.org/10.1007/978-1-4939-8682-8_6</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1007/978-1-4939-8682-8_6" target="_blank" >10.1007/978-1-4939-8682-8_6</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Virome Sequencing of Stool Samples

Popis výsledku v původním jazyce

Next-generation sequencing has opened avenues to studying complex populations such as the bacteriome (all bacteria), mycobiome (all fungi), and virome (all viruses in a given sample). Viromes are less often investigated as compared to bacteriomes. The reasons are mostly methodological: because no common pan-viral sequence signature exists, metagenomic sequencing remains the only option. This brings about the need of laborious virus enrichment, multiple signal amplification steps with virtually no possibility of interim quality control, and complicated bioinformatic analysis of the ensuing sequence data. Nevertheless, over the past decade virome sequencing has been enormously successful in identifying new agents in human and animal diseases, and in characterizing viruses in various ecological niches. Recently, virome sequencing has been also employed in studies of non-infectious diseases, which has brought about new challenges of sensitivity, costs, and reproducibility in testing of large sets of samples. Here, we present a detailed protocol that has been utilized in virome studies where hundreds of samples had to be reliably tested in order to assess the association of the stool virome with susceptibility to type 1 diabetes, a non-infectious autoimmune disease.

Název v anglickém jazyce

Virome Sequencing of Stool Samples

Popis výsledku anglicky

Next-generation sequencing has opened avenues to studying complex populations such as the bacteriome (all bacteria), mycobiome (all fungi), and virome (all viruses in a given sample). Viromes are less often investigated as compared to bacteriomes. The reasons are mostly methodological: because no common pan-viral sequence signature exists, metagenomic sequencing remains the only option. This brings about the need of laborious virus enrichment, multiple signal amplification steps with virtually no possibility of interim quality control, and complicated bioinformatic analysis of the ensuing sequence data. Nevertheless, over the past decade virome sequencing has been enormously successful in identifying new agents in human and animal diseases, and in characterizing viruses in various ecological niches. Recently, virome sequencing has been also employed in studies of non-infectious diseases, which has brought about new challenges of sensitivity, costs, and reproducibility in testing of large sets of samples. Here, we present a detailed protocol that has been utilized in virome studies where hundreds of samples had to be reliably tested in order to assess the association of the stool virome with susceptibility to type 1 diabetes, a non-infectious autoimmune disease.

Druh

C - Kapitola v odborné knize

CEP obor

—

OECD FORD obor

10607 - Virology

Projekt

Výsledek vznikl pri realizaci vícero projektů. Více informací v záložce Projekty.

Návaznosti

I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Rok uplatnění

2018

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název knihy nebo sborníku

The Human Virome

ISBN

978-1-4939-8681-1

Počet stran výsledku

25

Strana od-do

59-83

Počet stran knihy

274

Název nakladatele

Humana Press

Místo vydání

New York

Kód UT WoS kapitoly

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