A Robust Metatranscriptomic Technology for Population-Scale Studies of Diet, Gut Microbiome, and Human Health
Joint Authors
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
Source
International Journal of Genomics
Issue
Vol. 2019, Issue 2019 (31 Dec. 2019), pp.1-9, 9 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2019-10-01
Country of Publication
Egypt
No. of Pages
9
Main Subjects
Abstract EN
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.
American Psychological Association (APA)
Hatch, Andrew& Horne, James& Toma, Ryan& Twibell, Brittany L.& Somerville, Kalie M.& Pelle, Benjamin…[et al.]. 2019. A Robust Metatranscriptomic Technology for Population-Scale Studies of Diet, Gut Microbiome, and Human Health. International Journal of Genomics،Vol. 2019, no. 2019, pp.1-9.
https://search.emarefa.net/detail/BIM-1165497
Modern Language Association (MLA)
Hatch, Andrew…[et al.]. A Robust Metatranscriptomic Technology for Population-Scale Studies of Diet, Gut Microbiome, and Human Health. International Journal of Genomics No. 2019 (2019), pp.1-9.
https://search.emarefa.net/detail/BIM-1165497
American Medical Association (AMA)
Hatch, Andrew& Horne, James& Toma, Ryan& Twibell, Brittany L.& Somerville, Kalie M.& Pelle, Benjamin…[et al.]. A Robust Metatranscriptomic Technology for Population-Scale Studies of Diet, Gut Microbiome, and Human Health. International Journal of Genomics. 2019. Vol. 2019, no. 2019, pp.1-9.
https://search.emarefa.net/detail/BIM-1165497
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1165497