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PRJNA1024678 SRP465203

Gut metagenomics in Crohn's disease, Changsha, China

The functionl characteristics of the gut microbiota in patients with Crohn's disease.

18 gut metagenome samples (9 Crohn's disease, 9 healthy controls) from Xiangya Hospital, Changsha, China, studying the contribution of keystone gut microbiota species to Crohn's disease. machine-written summary

18 samples · 18 runs · CN · Age unknown · 2023 · 10.86 Gbp / sample

Sources
✓Sequence archive 94○Abstract / description–Full text–Supplementary tables✓External resources 14–User contribution–Human verified

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

what each source gave
✓ Sequence archive94 sample values (collection date, country, health condition, health condition detail, location locality, location site)
○ Abstract / descriptionread; no usable statement
– Full textno open-access full text linked
– Supplementary tablesno supplementary tables available (or none open access)
✓ External resources14 sample values (health condition, health condition detail) · from GMrepo v3
– User contributionnothing uploaded yet
– Human verifiednot yet checked by a person · I checked this project — verify it
Samples at a glance
1 country
Age
unknown18
Condition
crohns_disease9
healthy_control9
Country
CN18
Body site
primary18
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 %)all projects, 10–30 Gbp: 72,533 samples (13 %)this project, 10–30 Gbp: 18 samplesall 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 10.86 Gbp per sample0130Gbp
Community composition
Bifidobacterium 13.6%Blautia_A 13.4%Enterococcus_B 6.6%Streptococcus 6.3%Faecalibacterium 4.2%Mediterraneibacter 4.1%Blautia 3.1%Anaerostipes 2.9%Fusicatenibacter 2.8%Escherichia 2.8%Klebsiella 2.5%Faecalimonas 2.3%not assigned to a genus 2.8%other genera 32.6%

Genera, mean relative abundance over 17 profiled gut samples of this project (Sandpiper SingleM profiles, GTDB R232; low-depth and non-metagenome profiles left out).

Field coverage
fieldsamplescoverageR1R2R3R4
age_category0 0%
country18 100%18
health_condition18 100%117
subject_id0 0%
collection_date18 100%18
detailed_location18 100%
health_condition_detail18 100%117
location_locality18 100%18
location_site18 100%18
Papers (1)
  • Comparative metagenomics reveals the differential gut microbiota involved in bile acid metabolism in patients with crohn's disease. 2025 PMID 41474524 own_data
Details
Archive description

Metagenomic sequencing was used to sequence the gut microbiota of Crohn's disease patients, and the sequencing data were analyzed to study the potential contribution of keystone species of gut microbiota to Crohn's disease.

How this project entered the registry

Classified as human gut / stool shotgun DNA metagenome of age unknown by opus_adjudicated with confidence 0.55. Assay shotgun_dna.

  • host run.host_tax_id · “9606”
  • body site study.title · “gut microbiota in patients with Crohn's disease”
Evidence examples (one per field × route)
samplefieldvaluerouteconf.sourcequote
SAMN37703188collection_date2021-08/2022-06R10.90biosample.attribute:collection_date2021-08/2022-06
SAMN37703188countryCNR10.90sample.attr.geo_loc_nameChina: Xiangya hospital, Changsha
SAMN37703188health_conditioncrohns_diseaseR10.70sample.name_rule:titleCD1
SAMN37703191health_conditioncrohns_diseaseR20.75external.gmrepo sourcephenotype: Crohn Disease
SAMN37703188health_condition_detailCD1R10.70sample.name_rule:titleCD1
SAMN37703191health_condition_detailCrohn DiseaseR20.75external.gmrepo sourcephenotype: Crohn Disease
SAMN37703188location_localityChangshaR10.85biosample.attribute:geo_loc_nameChina: Xiangya hospital, Changsha
SAMN37703188location_siteXiangya hospitalR10.85biosample.attribute:geo_loc_nameChina: Xiangya hospital, Changsha
Sequencing

18 runs over 18 samples · mean 11.48 Gbp per run (median 10.86 Gbp, total 206.73 Gbp; 18 runs with a base count) · layout PAIRED 18 · platform ILLUMINA 18 · models Illumina NovaSeq 6000 (18) · 94% of runs with a Sandpiper profile · first public 2023-10-29

Authors (0)

No author record.

Downloads

PRJNA1024678.csv.gz (1.4 KB) · parquet (70.1 KB) — all 18 samples, every field with route and confidence · PRJNA1024678_determinations.csv.gz (1.5 KB) — 108 evidence rows

Samples (18 · every field this project has values for · hover a cell for its source)
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