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LogMPIE, pan-India profiling of the human gut microbiome using 16S rRNA sequencing
The “Landscape Of Gut Microbiome - Pan-India Exploration”, or LogMPIE study, is the first large-scale, nationwide record of the Indian gut microbiome. The primary objective of the study was to identify and map the Indian gut microbiome baseline. This observational study was conducted across 14 geogr...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6207063/ https://www.ncbi.nlm.nih.gov/pubmed/30375992 http://dx.doi.org/10.1038/sdata.2018.232 |
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author | Dubey, Ashok Kumar Uppadhyaya, Niyati Nilawe, Pravin Chauhan, Neeraj Kumar, Santosh Gupta, Urmila Anurag Bhaduri, Anirban |
author_facet | Dubey, Ashok Kumar Uppadhyaya, Niyati Nilawe, Pravin Chauhan, Neeraj Kumar, Santosh Gupta, Urmila Anurag Bhaduri, Anirban |
author_sort | Dubey, Ashok Kumar |
collection | PubMed |
description | The “Landscape Of Gut Microbiome - Pan-India Exploration”, or LogMPIE study, is the first large-scale, nationwide record of the Indian gut microbiome. The primary objective of the study was to identify and map the Indian gut microbiome baseline. This observational study was conducted across 14 geographical locations in India. Enrolled subjects were uniformly distributed across geographies (north, east, west and south) and body mass index (obese and non-obese). Furthermore, factors influencing the microbiome, such as age and physical activity, were also considered in the study design. The LogMPIE study recorded data from 1004 eligible subjects and reported 993 unique microorganisms across the Indian microbiome diaspora. The data not only map the Indian gut microbiome baseline but also function as a useful resource to study, analyse and identify signatures characterizing the physiological dispositions of the subjects. Furthermore, they provide insight into the unique features describing the Indian microbiome. The data are open and may be accessed from the European Nucleotide Archive (ENA) portal of the European Bioinformatics Institute (https://www.ebi.ac.uk/ena/data/view/PRJEB25642). |
format | Online Article Text |
id | pubmed-6207063 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | Nature Publishing Group |
record_format | MEDLINE/PubMed |
spelling | pubmed-62070632018-11-06 LogMPIE, pan-India profiling of the human gut microbiome using 16S rRNA sequencing Dubey, Ashok Kumar Uppadhyaya, Niyati Nilawe, Pravin Chauhan, Neeraj Kumar, Santosh Gupta, Urmila Anurag Bhaduri, Anirban Sci Data Data Descriptor The “Landscape Of Gut Microbiome - Pan-India Exploration”, or LogMPIE study, is the first large-scale, nationwide record of the Indian gut microbiome. The primary objective of the study was to identify and map the Indian gut microbiome baseline. This observational study was conducted across 14 geographical locations in India. Enrolled subjects were uniformly distributed across geographies (north, east, west and south) and body mass index (obese and non-obese). Furthermore, factors influencing the microbiome, such as age and physical activity, were also considered in the study design. The LogMPIE study recorded data from 1004 eligible subjects and reported 993 unique microorganisms across the Indian microbiome diaspora. The data not only map the Indian gut microbiome baseline but also function as a useful resource to study, analyse and identify signatures characterizing the physiological dispositions of the subjects. Furthermore, they provide insight into the unique features describing the Indian microbiome. The data are open and may be accessed from the European Nucleotide Archive (ENA) portal of the European Bioinformatics Institute (https://www.ebi.ac.uk/ena/data/view/PRJEB25642). Nature Publishing Group 2018-10-30 /pmc/articles/PMC6207063/ /pubmed/30375992 http://dx.doi.org/10.1038/sdata.2018.232 Text en Copyright © 2018, 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 Dubey, Ashok Kumar Uppadhyaya, Niyati Nilawe, Pravin Chauhan, Neeraj Kumar, Santosh Gupta, Urmila Anurag Bhaduri, Anirban LogMPIE, pan-India profiling of the human gut microbiome using 16S rRNA sequencing |
title | LogMPIE, pan-India profiling of the human gut microbiome using 16S rRNA sequencing |
title_full | LogMPIE, pan-India profiling of the human gut microbiome using 16S rRNA sequencing |
title_fullStr | LogMPIE, pan-India profiling of the human gut microbiome using 16S rRNA sequencing |
title_full_unstemmed | LogMPIE, pan-India profiling of the human gut microbiome using 16S rRNA sequencing |
title_short | LogMPIE, pan-India profiling of the human gut microbiome using 16S rRNA sequencing |
title_sort | logmpie, pan-india profiling of the human gut microbiome using 16s rrna sequencing |
topic | Data Descriptor |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6207063/ https://www.ncbi.nlm.nih.gov/pubmed/30375992 http://dx.doi.org/10.1038/sdata.2018.232 |
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