Data on the gut and saliva microbiota from a cohort of atherosclerosis patients determined by 16S rRNA gene sequencing

This work was conducted to characterize the 16S rRNA gene profile of a cohort of patients with traditional risk factors for developing atherosclerosis. The patients in the cohort were divided into two extremes; those predicted to develop extreme atherosclerosis who did not (Protected), and those pre...

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Autores principales: Gloor, Gregory B., Wong, Ruth Grace, Allen-Vercoe, Emma, Dinculescu, Vincent, Pignanelli, Michael, Bogiatzi, Chrysi, Reid, Gregor, Spence, J. David
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2018
Materias:
Medicine and Dentistry
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5997836/
https://www.ncbi.nlm.nih.gov/pubmed/29900345
http://dx.doi.org/10.1016/j.dib.2018.05.032
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author Gloor, Gregory B.
Wong, Ruth Grace
Allen-Vercoe, Emma
Dinculescu, Vincent
Pignanelli, Michael
Bogiatzi, Chrysi
Reid, Gregor
Spence, J. David
author_facet Gloor, Gregory B.
Wong, Ruth Grace
Allen-Vercoe, Emma
Dinculescu, Vincent
Pignanelli, Michael
Bogiatzi, Chrysi
Reid, Gregor
Spence, J. David
author_sort Gloor, Gregory B.
collection PubMed
description This work was conducted to characterize the 16S rRNA gene profile of a cohort of patients with traditional risk factors for developing atherosclerosis. The patients in the cohort were divided into two extremes; those predicted to develop extreme atherosclerosis who did not (Protected), and those predicted not to develop atherosclerosis who did (Unexplained). Bacterial DNA was isolated from stool and saliva and this was used to determine the V4 variable region of the 16S rRNA gene sequence composition of the samples in triplicate.
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spelling pubmed-59978362018-06-13 Data on the gut and saliva microbiota from a cohort of atherosclerosis patients determined by 16S rRNA gene sequencing Gloor, Gregory B. Wong, Ruth Grace Allen-Vercoe, Emma Dinculescu, Vincent Pignanelli, Michael Bogiatzi, Chrysi Reid, Gregor Spence, J. David Data Brief Medicine and Dentistry This work was conducted to characterize the 16S rRNA gene profile of a cohort of patients with traditional risk factors for developing atherosclerosis. The patients in the cohort were divided into two extremes; those predicted to develop extreme atherosclerosis who did not (Protected), and those predicted not to develop atherosclerosis who did (Unexplained). Bacterial DNA was isolated from stool and saliva and this was used to determine the V4 variable region of the 16S rRNA gene sequence composition of the samples in triplicate. Elsevier 2018-05-11 /pmc/articles/PMC5997836/ /pubmed/29900345 http://dx.doi.org/10.1016/j.dib.2018.05.032 Text en © 2018 The Authors http://creativecommons.org/licenses/by/4.0/ This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Medicine and Dentistry
Gloor, Gregory B.
Wong, Ruth Grace
Allen-Vercoe, Emma
Dinculescu, Vincent
Pignanelli, Michael
Bogiatzi, Chrysi
Reid, Gregor
Spence, J. David
Data on the gut and saliva microbiota from a cohort of atherosclerosis patients determined by 16S rRNA gene sequencing
title Data on the gut and saliva microbiota from a cohort of atherosclerosis patients determined by 16S rRNA gene sequencing
title_full Data on the gut and saliva microbiota from a cohort of atherosclerosis patients determined by 16S rRNA gene sequencing
title_fullStr Data on the gut and saliva microbiota from a cohort of atherosclerosis patients determined by 16S rRNA gene sequencing
title_full_unstemmed Data on the gut and saliva microbiota from a cohort of atherosclerosis patients determined by 16S rRNA gene sequencing
title_short Data on the gut and saliva microbiota from a cohort of atherosclerosis patients determined by 16S rRNA gene sequencing
title_sort data on the gut and saliva microbiota from a cohort of atherosclerosis patients determined by 16s rrna gene sequencing
topic Medicine and Dentistry
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5997836/
https://www.ncbi.nlm.nih.gov/pubmed/29900345
http://dx.doi.org/10.1016/j.dib.2018.05.032
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