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Sample GSM5493878 Query DataSets for GSM5493878
Status Public on Aug 30, 2023
Title A2
Sample type SRA
 
Source name Human feces
Organism human feces metagenome
Characteristics tissue: Fecal
diagnosis: Moderate-OSA
treatment: No
Treatment protocol One gram of fresh fecal samples was collected in a sterile fecal tube on the first day after admission and were immediately stored in the -20℃ refrigerator of the department, then sent to the -80℃ refrigerator of the central laboratory of Nanfang Hospital for cold storage within 4 hours by the researchers.
Extracted molecule genomic DNA
Extraction protocol Bead beading isolation was done to extract genomic DNA using the QIAamp DNA Kit (QIAGEN, Hilden, Germany), following the manufacturer's protocol. The extracted DNA concentration was measured by Qubit 2.0 Fluorometer (Life Technology, Carlsbad, CA). DNA quality was detected by 1.0% agarose gel electrophoresis. Then, the 16S rDNA gene regions (V3 and V4) were amplified by PCR.
The 16S rDNA libraries were sequenced on the Illumina MiSeq platform PE300 mode (Illumina, USA)
 
Library strategy OTHER
Library source genomic
Library selection other
Instrument model Illumina MiSeq
 
Data processing Sequencing data were filtered to remove low-quality sequences.Sequence splicing was performed using FLASH (Fast Length Adjustment of Short reads, V1.2.11)
Remove the primer sequence from the Tags sequence using the software CUTADAPT (version 1.16).
Using UCHIME method in VSEARCH(V2.3.4) software and combined with Gold Database (V20110519) chimera database to remove chimera sequences to get high-quality Tags sequence.
The software VSEARCH (V2.3.4) was used to cluster high-quality Tags sequence into OTU, and the REPRESENTATIVE sequence of OTU was obtained.
Using RDP Classifer (V2.2) software combined with Silva (V128) database, species annotation was performed for OTU representative sequences.
Based on 16S data, Alpha(α) diversity index (Observed OTU richness and Shannon Diversity) and Beta(β) diversity index based on Principal Coordinate Analysis (PCoA) (unweighted-Unifrac distance, Adonis) was used to assess the differences between groups. Linear discriminant analysis (LDA) and LDA Effective Size (LEfSe) was used to assess the taxonomic differences among groups.The network was then utilized to present the relationship between intestinal microbiome, intestinal barrier biomarkers, and AHI (Cytoscape v3.7.2). Statistical analysis of data was conducted in SPSS (version 21.0) and R software (v3.5.1).
Genome_build: 16S rDNA Sequences were aggregated into operational taxonomic units (OTUs) using 97% identity of the Silva v128 database
Supplementary_files_format_and_content: ConnectTags_stat.txt
Supplementary_files_format_and_content: OTU_table_for_biom.txt
Supplementary_files_format_and_content: Genus.absolute_abundance.txt
Supplementary_files_format_and_content: Alpha_diversity_detail.txt
Supplementary_files_format_and_content: unweighted_unifrac_Beta_diversity.txt
 
Submission date Aug 01, 2021
Last update date Aug 30, 2023
Contact name Qianjun Li
E-mail(s) qqjun8@yeah.net, qqjun8@163.com
Phone 13777221353
Organization name Nanfang Hospital, Southern Medical University
Department Sleep Medicine Center
Street address No. 1838, North Guangzhou Avenue
City Guangzhou
State/province Guangdong
ZIP/Postal code 510515
Country China
 
Platform ID GPL29470
Series (1)
GSE181270 Obstructive sleep apnea is related to alterations in intestinal microbiome and impaired intestinal barrier function
Relations
BioSample SAMN20515137
SRA SRX11623672

Supplementary data files not provided
SRA Run SelectorHelp
Raw data are available in SRA
Processed data are available on Series record

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