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Tytuł pozycji:

Comprehensive 16S rRNA and metagenomic data from the gut microbiome of aging and rejuvenation mouse models.

Tytuł:
Comprehensive 16S rRNA and metagenomic data from the gut microbiome of aging and rejuvenation mouse models.
Autorzy:
Shin J; Department of Biological Sciences and KI for the BioCentury, Korea Advanced Institute of Science and Technology, Daejeon, 34141, Republic of Korea.
Noh JR; Laboratory Animal Resource Center, Korea Research Institute of Bioscience and Biotechnology, Daejeon, 34141, Republic of Korea.
Choe D; Department of Biological Sciences and KI for the BioCentury, Korea Advanced Institute of Science and Technology, Daejeon, 34141, Republic of Korea.
Lee N; Department of Biological Sciences and KI for the BioCentury, Korea Advanced Institute of Science and Technology, Daejeon, 34141, Republic of Korea.
Song Y; Department of Biological Sciences and KI for the BioCentury, Korea Advanced Institute of Science and Technology, Daejeon, 34141, Republic of Korea.
Cho S; Department of Biological Sciences and KI for the BioCentury, Korea Advanced Institute of Science and Technology, Daejeon, 34141, Republic of Korea.
Kang EJ; Laboratory Animal Resource Center, Korea Research Institute of Bioscience and Biotechnology, Daejeon, 34141, Republic of Korea.
Go MJ; Laboratory Animal Resource Center, Korea Research Institute of Bioscience and Biotechnology, Daejeon, 34141, Republic of Korea.
Ha SK; Laboratory Animal Resource Center, Korea Research Institute of Bioscience and Biotechnology, Daejeon, 34141, Republic of Korea.
Kim JH; Laboratory Animal Resource Center, Korea Research Institute of Bioscience and Biotechnology, Daejeon, 34141, Republic of Korea.
Kim YH; Laboratory Animal Resource Center, Korea Research Institute of Bioscience and Biotechnology, Daejeon, 34141, Republic of Korea.
Kim KS; Laboratory Animal Resource Center, Korea Research Institute of Bioscience and Biotechnology, Daejeon, 34141, Republic of Korea.
Kim BC; Immunotherapy Research Center, Korea Research Institute of Bioscience and Biotechnology, Daejeon, 34141, Republic of Korea.; Healthbiome Co., Ltd, Daejeon, 34141, Republic of Korea.
Lee CH; Laboratory Animal Resource Center, Korea Research Institute of Bioscience and Biotechnology, Daejeon, 34141, Republic of Korea. .
Cho BK; Department of Biological Sciences and KI for the BioCentury, Korea Advanced Institute of Science and Technology, Daejeon, 34141, Republic of Korea. .
Źródło:
Scientific data [Sci Data] 2022 May 10; Vol. 9 (1), pp. 197. Date of Electronic Publication: 2022 May 10.
Typ publikacji:
Dataset; Journal Article
Język:
English
Imprint Name(s):
Original Publication: London : Nature Publishing Group, 2014-
MeSH Terms:
Aging*/genetics
Gastrointestinal Microbiome*/genetics
RNA, Ribosomal, 16S*/genetics
Animals ; Disease Models, Animal ; Metagenomics ; Mice ; Rejuvenation
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Grant Information:
2019M3A9F3065867 National Research Foundation of Korea (NRF); 2018M3A9H3024759 National Research Foundation of Korea (NRF)
Substance Nomenclature:
0 (RNA, Ribosomal, 16S)
Entry Date(s):
Date Created: 20220510 Date Completed: 20220512 Latest Revision: 20220716
Update Code:
20240105
PubMed Central ID:
PMC9091251
DOI:
10.1038/s41597-022-01308-3
PMID:
35538082
Czasopismo naukowe
The gut microbiota is associated with the health and longevity of the host. A few methods, such as fecal microbiota transplantation and oral administration of probiotics, have been applied to alter the gut microbiome and promote healthy aging. The changes in host microbiomes still remain poorly understood. Here, we characterized both the changes in gut microbial communities and their functional potential derived from colon samples in mouse models during aging. We achieved this through four procedures including co-housing, serum injection, parabiosis, and oral administration of Akkermansia muciniphila as probiotics using bacterial 16 S rRNA sequencing and shotgun metagenomic sequencing. The dataset comprised 16 S rRNA sequencing (36,249,200 paired-end reads, 107 sequencing data) and metagenomic sequencing data (307,194,369 paired-end reads, 109 sequencing data), characterizing the taxonomy of bacterial communities and their functional potential during aging and rejuvenation. The generated data expand the resources of the gut microbiome related to aging and rejuvenation and provide a useful dataset for research on developing therapeutic strategies to achieve healthy active aging.
(© 2022. The Author(s).)

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