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PRJNA905444 SRP409995

Gut metagenomes in Peutz-Jeghers syndrome, Guangzhou

Gut microbiome signatures in PJS

88 metagenome samples from Guangzhou, China, comparing colorectal adenoma (Peutz-Jeghers syndrome) patients (61) and healthy family members (27) in a case-control design examining gut microbiome functional changes. machine-written summary

88 samples · 88 runs · CN · Age unknown · 2023 · 6.80 Gbp / sample

Sources
✓Sequence archive 704✓Abstract / description 88○Full text○Supplementary tables✓External resources 88–User contribution–Human verified

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

what each source gave
✓ Sequence archive704 sample values (collection date, country, health condition, health condition detail, latitude, location locality, location region, longitude)
✓ Abstract / description88 sample values (subject id)
○ Full textread; no usable statement or table · PMC10101062
○ Supplementary tablesfiles read; no table could be matched to the samples
✓ External resources88 sample values (antibiotic exposure) · from BugSigDB
– User contributionnothing uploaded yet
– Human verifiednot yet checked by a person · I checked this project — verify it
Samples at a glance
1 sampling locations · 1 country
Age
unknown88
Condition
other_disease61
healthy_control27
Country
CN88
Body site
primary88
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: 87 samplesall projects, 10–30 Gbp: 72,533 samples (13 %)this project, 10–30 Gbp: 1 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 6.80 Gbp per sample0130Gbp
Sampling design and relatedness

families — not resolved

61 PJS patients and 27 healthy family members (of 168/68 total cohort) who lived together; no individual dyad links in metadata..

How longitudinal and relatedness information is derived

Community composition
Phocaeicola 10.4%Faecalibacterium 10.3%Bacteroides 9.6%Roseburia 6.0%Prevotella 4.8%Escherichia 4.5%Bifidobacterium 4.3%Blautia_A 3.2%Streptococcus 3.0%Alistipes 2.8%Fusicatenibacter 2.7%Mediterraneibacter 1.8%not assigned to a genus 4.2%other genera 32.5%

Genera, mean relative abundance over 84 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%
country88 100%88
health_condition88 100%88
subject_id88 100%88
antibiotic_exposure88 100%88
collection_date88 100%88
detailed_location88 100%
health_condition_detail88 100%88
latitude88 100%88
location_locality88 100%88
location_region88 100%88
longitude88 100%88
Papers (1)
  • Changes in the Gut Microbiome Associated with Intussusception in Patients with Peutz-Jeghers Syndrome. 2023 PMID 36719190 PMC10101062 own_data
Details
Archive description

Here, we performed 16S rRNA sequencing on stools from 168 patients and 68 healthy family members who lived together to determine the gut microbiome composition of PJS patients. Metagenomics sequencing was further performed on the representative samples (61 PJS patients and 27 healthy family members) to analyze the functional changes.

How this project entered the registry

Classified as human gut / stool shotgun DNA metagenome of age unknown by opus_adjudicated with confidence 0.60. Assay shotgun_dna.

  • host run.host_tax_id · “9606”
  • host run.scientific_name · “human gut metagenome”
  • body site study.description · “16S rRNA sequencing on stools”
Evidence examples (one per field × route)
samplefieldvaluerouteconf.sourcequote
SAMN31955614antibiotic_exposurenoR20.60external.bugsigdb sourceAntibiotics exclusion: 3 months
SAMN31955614collection_date2020-09R10.90biosample.attribute:collection_date2020-09
SAMN31955614countryCNR10.90sample.attr.geo_loc_nameChina:Guangzhou
SAMN31955614health_conditionhealthy_controlR10.70sample.name_rule:aliasNormal_173
SAMN31955614health_condition_detailNormalR10.70sample.name_rule:aliasNormal_173
SAMN31955614latitude23.1300R10.90biosample.attribute:lat_lon23.13 N 113.27 E
SAMN31955614location_localityGuangzhouR10.85biosample.attribute:geo_loc_nameChina:Guangzhou
SAMN31955614location_regionGuangdongR10.60biosample.attribute:lat_lon23.13 N 113.27 E
SAMN31955614longitude113.2700R10.90biosample.attribute:lat_lon23.13 N 113.27 E
SAMN31955614subject_idSAMN31955614R40.60design.one_sample_per_subject:descriptionMetagenomics sequencing was further performed on the representative samples (61 PJS patients and 27 healthy family members) to analyze the functional changes.
Sequencing

88 runs over 88 samples · mean 7.05 Gbp per run (median 6.80 Gbp, total 620.64 Gbp; 88 runs with a base count) · layout PAIRED 88 · platform ILLUMINA 88 · models Illumina NovaSeq 6000 (88) · 95% of runs with a Sandpiper profile · first public 2023-01-25

Authors (7)

Wang Z first · Liang L · Liu L · Wang Y · Yu Z · Wu B · Chen Y last

Downloads

PRJNA905444.csv.gz (3.2 KB) · parquet (74.4 KB) — all 88 samples, every field with route and confidence · PRJNA905444_determinations.csv.gz (7.2 KB) — 880 evidence rows

Samples (88 · every field this project has values for · hover a cell for its source)
Loading the sample table…