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Gut bacterial communities of diarrheic patients with indications of Clostridioides difficile infection
We present bacterial 16S rRNA gene datasets derived from stool samples of 44 patients with diarrhea indicative of a Clostridioides difficile infection. For 20 of these patients, C. difficile infection was confirmed by clinical evidence. Stool samples from patients originating from Germany, Ghana, an...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group
2017
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5644368/ https://www.ncbi.nlm.nih.gov/pubmed/29039846 http://dx.doi.org/10.1038/sdata.2017.152 |
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author | Schneider, Dominik Thürmer, Andrea Gollnow, Kathleen Lugert, Raimond Gunka, Katrin Groß, Uwe Daniel, Rolf |
author_facet | Schneider, Dominik Thürmer, Andrea Gollnow, Kathleen Lugert, Raimond Gunka, Katrin Groß, Uwe Daniel, Rolf |
author_sort | Schneider, Dominik |
collection | PubMed |
description | We present bacterial 16S rRNA gene datasets derived from stool samples of 44 patients with diarrhea indicative of a Clostridioides difficile infection. For 20 of these patients, C. difficile infection was confirmed by clinical evidence. Stool samples from patients originating from Germany, Ghana, and Indonesia were taken and subjected to DNA isolation. DNA isolations of stool samples from 35 asymptomatic control individuals were performed. The bacterial community structure was assessed by 16S rRNA gene analysis (V3-V4 region). Metadata from patients and control individuals include gender, age, country, presence of diarrhea, concomitant diseases, and results of microbiological tests to diagnose C. difficile presence. We provide initial data analysis and a dataset overview. After processing of paired-end sequencing data, reads were merged, quality-filtered, primer sequences removed, reads truncated to 400 bp and dereplicated. Singletons were removed and sequences were sorted by cluster size, clustered at 97% sequence similarity and chimeric sequences were discarded. Taxonomy to each operational taxonomic unit was assigned by BLASTn searches against Silva database 123.1 and a table was constructed. |
format | Online Article Text |
id | pubmed-5644368 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | Nature Publishing Group |
record_format | MEDLINE/PubMed |
spelling | pubmed-56443682017-10-23 Gut bacterial communities of diarrheic patients with indications of Clostridioides difficile infection Schneider, Dominik Thürmer, Andrea Gollnow, Kathleen Lugert, Raimond Gunka, Katrin Groß, Uwe Daniel, Rolf Sci Data Data Descriptor We present bacterial 16S rRNA gene datasets derived from stool samples of 44 patients with diarrhea indicative of a Clostridioides difficile infection. For 20 of these patients, C. difficile infection was confirmed by clinical evidence. Stool samples from patients originating from Germany, Ghana, and Indonesia were taken and subjected to DNA isolation. DNA isolations of stool samples from 35 asymptomatic control individuals were performed. The bacterial community structure was assessed by 16S rRNA gene analysis (V3-V4 region). Metadata from patients and control individuals include gender, age, country, presence of diarrhea, concomitant diseases, and results of microbiological tests to diagnose C. difficile presence. We provide initial data analysis and a dataset overview. After processing of paired-end sequencing data, reads were merged, quality-filtered, primer sequences removed, reads truncated to 400 bp and dereplicated. Singletons were removed and sequences were sorted by cluster size, clustered at 97% sequence similarity and chimeric sequences were discarded. Taxonomy to each operational taxonomic unit was assigned by BLASTn searches against Silva database 123.1 and a table was constructed. Nature Publishing Group 2017-10-17 /pmc/articles/PMC5644368/ /pubmed/29039846 http://dx.doi.org/10.1038/sdata.2017.152 Text en Copyright © 2017, The Author(s) http://creativecommons.org/licenses/by/4.0/ Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/ The Creative Commons Public Domain Dedication waiver http://creativecommons.org/publicdomain/zero/1.0/ applies to the metadata files made available in this article. |
spellingShingle | Data Descriptor Schneider, Dominik Thürmer, Andrea Gollnow, Kathleen Lugert, Raimond Gunka, Katrin Groß, Uwe Daniel, Rolf Gut bacterial communities of diarrheic patients with indications of Clostridioides difficile infection |
title | Gut bacterial communities of diarrheic patients with indications of Clostridioides difficile infection |
title_full | Gut bacterial communities of diarrheic patients with indications of Clostridioides difficile infection |
title_fullStr | Gut bacterial communities of diarrheic patients with indications of Clostridioides difficile infection |
title_full_unstemmed | Gut bacterial communities of diarrheic patients with indications of Clostridioides difficile infection |
title_short | Gut bacterial communities of diarrheic patients with indications of Clostridioides difficile infection |
title_sort | gut bacterial communities of diarrheic patients with indications of clostridioides difficile infection |
topic | Data Descriptor |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5644368/ https://www.ncbi.nlm.nih.gov/pubmed/29039846 http://dx.doi.org/10.1038/sdata.2017.152 |
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