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PRJEB42155 ERP125985

IBD multi-omic cross-sectional cohort, San Diego, USA

UCSD IBD 200 Patient Cohort Multi-omic Project

210 stool samples from San Diego, USA adults (mostly), with Crohn's disease, ulcerative colitis, or healthy controls, studied cross-sectionally using metaproteomics, shotgun metagenomics, 16S sequencing, metabolomics, and host genetics. machine-written summary

210 samples · 210 runs · US · Adult · 2023 · 0.25 Gbp / sample · cohort Multi-omics analyses of the ulcerative colitis gut

Sources
✓Sequence archive 2,013○Abstract / description○Full text○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 archive2,013 sample values (age, antibiotic exposure, country, health condition, health condition detail, location locality, location region, medication)
○ Abstract / descriptionread; no usable statement
○ Full textread; no usable statement or table · PMC8852248, PMC9400277
○ 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
adult195
elderly12
infant2
child1
Condition
crohns_disease118
ulcerative_colitis74
healthy_control18
Sex
female101
male87
Country
US210
Body site
primary210
Sequencing depth per sample · this project all projects
all projects, 0–0.03 Gbp: 25,080 samples (4 %)this project, 0–0.03 Gbp: 15 samplesall projects, 0.03–0.1 Gbp: 17,066 samples (3 %)this project, 0.03–0.1 Gbp: 8 samplesall projects, 0.1–0.3 Gbp: 29,179 samples (5 %)this project, 0.1–0.3 Gbp: 117 samplesall projects, 0.3–1 Gbp: 47,044 samples (8 %)this project, 0.3–1 Gbp: 70 samplesall 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 %)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 0.25 Gbp per sample0130Gbp
! Self-contradictory metadata

antibiotic exposure: two sequence archives disagree for 2 samples (e.g. yes vs no) — withheld; sex differs between samples of the same subject id (1 subjects, 2 samples) — sex withheld; subject ids shared by samples of both sexes (1 ids, 2 samples) — ids withheld.

The sources disagree on 4 samples. Where two incompatible values exist for one sample (or one person's samples disagree on sex), neither value is published: the field is left empty here, in the sample sheet and in the downloads. Both sides, with their sources, are in gut_metadata_contradictions.parquet of the data package (what counts as a contradiction).

Contradicted values (6)
samplefieldvalueother valuehandling
SAMEA7731530antibiotic exposureyes (sequence archive)no (sequence archive)withheld: neither value published
SAMEA7731609antibiotic exposureyes (sequence archive)no (sequence archive)withheld: neither value published
SAMEA7731429sexmale (sequence archive)subject 133: male in 1 sample, female in 1 samplewithheld: neither value published
SAMEA7731558sexfemale (sequence archive)subject 133: male in 1 sample, female in 1 samplewithheld: neither value published
SAMEA7731429subject id133male (sequence archive)subject id withheld (samples of both sexes share it)
SAMEA7731558subject id133female (sequence archive)subject id withheld (samples of both sexes share it)
Sampling design and relatedness

longitudinal

33 of 166 people sampled more than once (75 samples; median 2, up to 4 per person) · follow-up median 19.0 y (max 34.0 y) · median interval between samples 19.0 y (time from age at collection).

135135: day 0135: day 12418189189: day 0189: day 1461189: day 14610 d8.5 y17.0 y25.5 y34.0 y

Each row is one person (2 shown of 33); dots are samples at days since that person's first sample.

How longitudinal and relatedness information is derived

Community composition

No Sandpiper profile for this project's samples yet.

Field coverage
fieldsamplescoverageR1R2R3R4
age_category210 100%
country210 100%210
health_condition210 100%210
subject_id208 99%208
detailed_location210 100%
health_condition_detail210 100%210
location_locality210 100%210
location_region210 100%210
age_at_collection_days192 91%192
sex188 90%188
smoking_status185 88%185
timepoint_label57 27%57
medication50 24%50
medication_detail50 24%50
antibiotic_exposure33 16%33
Papers (4)
  • Multi-omics analyses of the ulcerative colitis gut microbiome link Bacteroides vulgatus proteases with disease severity. 2022 PMID 35087228 PMC8852248 own_data
  • Location-specific signatures of Crohn's disease at a multi-omics scale. 2022 PMID 35999575 PMC9400277 own_data
  • Pangenomic analysis identifies correlations between <i>Akkermansia</i> species and subspecies and human health outcomes. 2024 PMID 39421249 PMC11480726 unsure
  • Phylo-Spec: a phylogeny-fusion deep learning model advances microbiome status identification. 2025 PMID 41283667 PMC12710343 unsure
Details
Archive description

Inflammatory Bowel Disease (IBD) remains a difficult disease to treat and diagnose and is of growing global prevalence. With an increasing number of studies linking the gut microbiome to IBD, we set out to further characterize the molecular landscape of IBD through the collection of multiple meta -omic data layers on 200 patient samples. The data types collected feature a multiplexed metaproteomic analysis through the use of tandem mass tag MS3 based technology, with integrated shotgun metagenomics, 16S sequencing and metabolomics. With this data we hope to identify further clues about IBD etiology and potential biomarkers for the disease.

How this project entered the registry

Classified as human gut / stool shotgun DNA metagenome of adult by deterministic_prior with confidence 0.90. Assay shotgun_dna.

  • host external_curation.infant_catalog · “infant triage reason_code age_adult_only”
  • body site study.description · “studies linking the gut microbiome to IBD,”
  • body site external_curation.infant_catalog · “body_site_call gut”
  • life stage external_curation.infant_catalog · “infant triage reason_code age_adult_only”
Evidence examples (one per field × route)
samplefieldvaluerouteconf.sourcequote
SAMEA7731429age_at_collection_days12053.2R10.90sample.attr.host_age33
SAMEA7731433antibiotic_exposureyesR10.80sample.attr.antibioticsFlagyl PO 05/2018
SAMEA7731556antibiotic_exposureyesR10.85biosample_attrFlagyl unk dose (1995-unk)
SAMEA7731409countryUSR10.90sample.attr.geo_loc_nameUSA:CA:San Diego
SAMEA7731409health_conditionhealthy_controlR10.90biosample_attrHealthy_control
SAMEA7731409health_condition_detailHealthy_controlR10.90sample.attr.diagnosisHealthy_control
SAMEA7731409location_localitySan DiegoR10.85biosample.attribute:geo_loc_nameUSA:CA:San Diego
SAMEA7731409location_regionCaliforniaR10.75biosample.attribute:geo_loc_nameUSA:CA:San Diego
SAMEA7731500medicationimmunosuppressant_or_biologicR10.85biosample.attribute:biologic_therapyADA 160 mg (unk)
SAMEA7731512medicationcorticosteroidR10.75biosample.attribute:steroidsCortafoam unk (1990-pres)
SAMEA7731513medicationcorticosteroidR10.85biosample.attribute:other_nonbiologic_therapyBudesonide unk
SAMEA7731500medication_detailADA 160 mg (unk)R10.85biosample.attribute:biologic_therapyADA 160 mg (unk)
SAMEA7731512medication_detailCortafoam unk (1990-pres)R10.75biosample.attribute:steroidsCortafoam unk (1990-pres)
SAMEA7731513medication_detailBudesonide unkR10.85biosample.attribute:other_nonbiologic_therapyBudesonide unk
SAMEA7731431sexfemaleR10.90sample.attr.sexfemale
SAMEA7731429smoking_statusneverR10.80biosample.attribute:smokingN
SAMEA7731409subject_idHC1R10.85sample.attr.patient_numberHC1
SAMEA7731409timepoint_labelHealthy_controlR10.85sample.attr.visit_numberHealthy_control
Sequencing

210 runs over 210 samples · mean 0.27 Gbp per run (median 0.25 Gbp, total 55.96 Gbp; 210 runs with a base count) · layout PAIRED 210 · platform ILLUMINA 210 · models Illumina NovaSeq 6000 (210) · 0% of runs with a Sandpiper profile · first public 2023-05-15

Authors (37)

Mills RH first · Dulai PS · Vázquez-Baeza Y · Sauceda C · Daniel N · Gerner RR · Batachari LE · Malfavon M · Zhu Q · Weldon K · Humphrey G · Carrillo-Terrazas M · Goldasich LD · Bryant M · Raffatellu M · Quinn RA · Gewirtz AT · Chassaing B · Chu H · Sandborn WJ · Dorrestein PC · Knight R · Gonzalez DJ last · Gonzalez CG first · Mueller KD first · Panzetta ME · Davey L · McCann JR · Rawls JF · Flores GE · Valdivia RH last · Zhang J first · Meng F · Sun Y · Xu W · Wu S · Su X last

Downloads

PRJEB42155.csv.gz (7.8 KB) · parquet (81.5 KB) — all 210 samples, every field with route and confidence · PRJEB42155_determinations.csv.gz (17.3 KB) — 2,013 evidence rows

Samples (210 · every field this project has values for · hover a cell for its source)
Loading the sample table…