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PRJDB43252 DRP019719

16S and metagenomic study of microbiota in IBD

Integrated 16S rRNA sequencing and metagenomics insights into microbial dysbiosis and distinct virulence factors in inflammatory bowel disease (PRJCA023147)

12 samples were analyzed using integrated 16S rRNA sequencing and metagenomics to examine microbial dysbiosis and virulence factors in inflammatory bowel disease; no further sample details are given. machine-written summary

12 samples · 12 runs · CN · Age unknown · 2026 · 7.36 Gbp / sample

Sources
✓Sequence archive 24✓Abstract / description 12✓Full text 36○Supplementary tables–External resources–User contribution–Human verified

Checked this project's papers and archive records yourself? Mark it human-verified.

what each source gave
✓ Sequence archive24 sample values (collection date, health condition, health condition detail)
✓ Abstract / description12 sample values (subject id)
✓ Full text36 sample values (country, location locality, location region) · PMC10999624
○ Supplementary tablesfiles read; no table could be matched to the samples
– External resourcesnot covered by the external resources we ingest
– User contributionnothing uploaded yet
– Human verifiednot yet checked by a person · I checked this project — verify it
Samples at a glance
1 country
Age
unknown12
Condition
crohns_disease3
ulcerative_colitis3
Country
CN12
Body site
primary12
Collected 2020–2022
2020: 5 samples2021: 2 samples2022: 5 samples20202022
Sequencing depth per sample · this project all projects
all projects, 0–0.03 Gbp: 25,080 samples (4 %)all projects, 0.03–0.1 Gbp: 17,066 samples (3 %)all projects, 0.1–0.3 Gbp: 29,179 samples (5 %)all projects, 0.3–1 Gbp: 47,044 samples (8 %)all projects, 1–3 Gbp: 124,983 samples (22 %)all projects, 3–10 Gbp: 253,728 samples (44 %)this project, 3–10 Gbp: 12 samplesall projects, 10–30 Gbp: 72,533 samples (13 %)all projects, 30–100 Gbp: 3,024 samples (1 %)all projects, 100–300 Gbp: 106 samples (0 %)all projects, ≥ 300 Gbp: 9 samples (0 %)project median 7.36 Gbp per sample0130Gbp
Community composition

No Sandpiper profile for this project's samples yet.

Field coverage
fieldsamplescoverageR1R2R3R4
age_category0 0%
country12 100%12
health_condition6 50%6
subject_id12 100%12
collection_date12 100%12
detailed_location12 100%
location_locality12 100%12
location_region12 100%12
health_condition_detail6 50%6
Papers (1)
  • Integrated 16S rRNA sequencing and metagenomics insights into microbial dysbiosis and distinct virulence factors in inflammatory bowel disease. 2024 PMID 38591039 PMC10999624 own_data
Details
Archive description

With the rapid pace of urbanization, there has been an observed increase in the prevalence and incidence of Inflammatory Bowel Disease (IBD). Here, 16S rRNA and metagenomic sequencing have been utilized to investigate the gut microbiota profiles in a case-control study of IBD patients, to decipher the microbial underpinnings of these diseases. Notably, the phylum Proteobacteria, particularly the genus Escherichia-Shigella, was found to be significantly elevated in Crohn's Disease (CD) patients, while the genus Enterococcus showed a marked increase in Ulcerative Colitis (UC) patients. Core gut microbiota such as Christensenellaceae R-7 group, Fusicatenibacter, and Holdemanella were identified in healthy individuals. This study also highlighted significant interactions between the microbiome and virulence factors, specifically the role of Chu (VF0227) in CD patients. Additionally, functional analysis suggested that oxidative stress might play a significant role in the pathological processes of IBD. These comprehensive insights into the gut microbiota of IBD patients enhanced our understanding of the pathogenesis, highlighted the complex interplay between the microbiome.

How this project entered the registry

Classified as human gut / stool shotgun DNA metagenome of age unknown by sonnet_x2 with confidence 0.78. Assay shotgun_dna.

  • host study.title · “inflammatory bowel disease”
  • body site study.description · “gut microbiota profiles in a case-control study”
Evidence examples (one per field × route)
samplefieldvaluerouteconf.sourcequote
SAMD02002982collection_date2020-12-21R10.85biosample.attribute:collection_date2020-12-21
SAMD02002982countryCNR30.70paper.body.textat Xining in Qinghai Province, China, from 2020.
SAMD02002988health_conditionulcerative_colitisR10.70sample.name_rule:sample_nameSAMC3400719_UC1
SAMD02002988health_condition_detailUCR10.70sample.name_rule:sample_nameSAMC3400719_UC1
SAMD02002982location_localityXiningR30.70paper.body.textat Xining in Qinghai Province, China, from 2020.
SAMD02002982location_regionQinghaiR30.70paper.body.textat Xining in Qinghai Province, China, from 2020.
SAMD02002982subject_idSAMD02002982R40.60design.one_sample_per_subject:abstract16S rRNA gene sequencing (n = 36) and metagenomic sequencing (n = 12) to analyze the gut microbiota of newly diagnosed IBD patients
Sequencing

12 runs over 12 samples · mean 7.16 Gbp per run (median 7.36 Gbp, total 85.95 Gbp; 12 runs with a base count) · layout PAIRED 12 · platform ILLUMINA 12 · models Illumina NovaSeq 6000 (11), Illumina MiSeq (1) · 0% of runs with a Sandpiper profile · first public 2026-09-27

Authors (0)

No author record.

Downloads

PRJDB43252.csv.gz (1.3 KB) · parquet (70.1 KB) — all 12 samples, every field with route and confidence · PRJDB43252_determinations.csv.gz (1.3 KB) — 72 evidence rows

Samples (12 · every field this project has values for · hover a cell for its source)
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