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A Robust Metatranscriptomic Technology for Population-Scale Studies of Diet, Gut Microbiome, and Human Health

A functional readout of the gut microbiome is necessary to enable precise control of the gut microbiome's functions, which support human health and prevent or minimize a wide range of chronic diseases. Stool metatranscriptomic analysis offers a comprehensive functional view of the gut microbiom...

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Autores principales: Hatch, Andrew, Horne, James, Toma, Ryan, Twibell, Brittany L., Somerville, Kalie M., Pelle, Benjamin, Canfield, Kinga P., Genkin, Matvey, Banavar, Guruduth, Perlina, Ally, Messier, Helen, Klitgord, Niels, Vuyisich, Momchilo
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6791206/
https://www.ncbi.nlm.nih.gov/pubmed/31662956
http://dx.doi.org/10.1155/2019/1718741
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author Hatch, Andrew
Horne, James
Toma, Ryan
Twibell, Brittany L.
Somerville, Kalie M.
Pelle, Benjamin
Canfield, Kinga P.
Genkin, Matvey
Banavar, Guruduth
Perlina, Ally
Messier, Helen
Klitgord, Niels
Vuyisich, Momchilo
author_facet Hatch, Andrew
Horne, James
Toma, Ryan
Twibell, Brittany L.
Somerville, Kalie M.
Pelle, Benjamin
Canfield, Kinga P.
Genkin, Matvey
Banavar, Guruduth
Perlina, Ally
Messier, Helen
Klitgord, Niels
Vuyisich, Momchilo
author_sort Hatch, Andrew
collection PubMed
description A functional readout of the gut microbiome is necessary to enable precise control of the gut microbiome's functions, which support human health and prevent or minimize a wide range of chronic diseases. Stool metatranscriptomic analysis offers a comprehensive functional view of the gut microbiome, but despite its usefulness, it has rarely been used in clinical studies due to its complexity, cost, and bioinformatic challenges. This method has also received criticism due to potential intrasample variability, rapid changes, and RNA degradation. Here, we describe a robust and automated stool metatranscriptomic method, called Viomega, which was specifically developed for population-scale studies. Viomega includes sample collection, ambient temperature sample preservation, total RNA extraction, physical removal of ribosomal RNAs (rRNAs), preparation of directional Illumina libraries, Illumina sequencing, taxonomic classification based on a database of >110,000 microbial genomes, and quantitative microbial gene expression analysis using a database of ~100 million microbial genes. We applied this method to 10,000 human stool samples and performed several small-scale studies to demonstrate sample stability and consistency. In summary, Viomega is an inexpensive, high-throughput, automated, and accurate sample-to-result stool metatranscriptomic technology platform for large-scale studies and a wide range of applications.
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spelling pubmed-67912062019-10-29 A Robust Metatranscriptomic Technology for Population-Scale Studies of Diet, Gut Microbiome, and Human Health Hatch, Andrew Horne, James Toma, Ryan Twibell, Brittany L. Somerville, Kalie M. Pelle, Benjamin Canfield, Kinga P. Genkin, Matvey Banavar, Guruduth Perlina, Ally Messier, Helen Klitgord, Niels Vuyisich, Momchilo Int J Genomics Research Article A functional readout of the gut microbiome is necessary to enable precise control of the gut microbiome's functions, which support human health and prevent or minimize a wide range of chronic diseases. Stool metatranscriptomic analysis offers a comprehensive functional view of the gut microbiome, but despite its usefulness, it has rarely been used in clinical studies due to its complexity, cost, and bioinformatic challenges. This method has also received criticism due to potential intrasample variability, rapid changes, and RNA degradation. Here, we describe a robust and automated stool metatranscriptomic method, called Viomega, which was specifically developed for population-scale studies. Viomega includes sample collection, ambient temperature sample preservation, total RNA extraction, physical removal of ribosomal RNAs (rRNAs), preparation of directional Illumina libraries, Illumina sequencing, taxonomic classification based on a database of >110,000 microbial genomes, and quantitative microbial gene expression analysis using a database of ~100 million microbial genes. We applied this method to 10,000 human stool samples and performed several small-scale studies to demonstrate sample stability and consistency. In summary, Viomega is an inexpensive, high-throughput, automated, and accurate sample-to-result stool metatranscriptomic technology platform for large-scale studies and a wide range of applications. Hindawi 2019-10-01 /pmc/articles/PMC6791206/ /pubmed/31662956 http://dx.doi.org/10.1155/2019/1718741 Text en Copyright © 2019 Andrew Hatch et al. http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research Article
Hatch, Andrew
Horne, James
Toma, Ryan
Twibell, Brittany L.
Somerville, Kalie M.
Pelle, Benjamin
Canfield, Kinga P.
Genkin, Matvey
Banavar, Guruduth
Perlina, Ally
Messier, Helen
Klitgord, Niels
Vuyisich, Momchilo
A Robust Metatranscriptomic Technology for Population-Scale Studies of Diet, Gut Microbiome, and Human Health
title A Robust Metatranscriptomic Technology for Population-Scale Studies of Diet, Gut Microbiome, and Human Health
title_full A Robust Metatranscriptomic Technology for Population-Scale Studies of Diet, Gut Microbiome, and Human Health
title_fullStr A Robust Metatranscriptomic Technology for Population-Scale Studies of Diet, Gut Microbiome, and Human Health
title_full_unstemmed A Robust Metatranscriptomic Technology for Population-Scale Studies of Diet, Gut Microbiome, and Human Health
title_short A Robust Metatranscriptomic Technology for Population-Scale Studies of Diet, Gut Microbiome, and Human Health
title_sort robust metatranscriptomic technology for population-scale studies of diet, gut microbiome, and human health
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6791206/
https://www.ncbi.nlm.nih.gov/pubmed/31662956
http://dx.doi.org/10.1155/2019/1718741
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