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PRJDB18646 DRP011934

Gut virome in COVID-19 patients vs healthy Japanese adults

The Virome analysis in Japanese healthy cohort and patients with HIV or SARS-CoV-2 infection

144 fecal samples from Japan, case-control design, comparing intestinal DNA phage/virome dynamics in SARS-CoV-2-infected patients against healthy individuals over time. machine-written summary

144 samples · 144 runs · JP · Age unknown · 2024 · 3.01 Gbp / sample

Sources
✓Sequence archive 432✓Abstract / description 144○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 archive432 sample values (collection date, country, subject id)
✓ Abstract / description144 sample values (health condition detail)
○ Full textread; no usable statement or table · PMC11705802
○ Supplementary tablesfiles read; no table could be matched to the samples
– External resourcesnot covered by the external resources we ingest
– User contributionnothing uploaded yet · share metadata
– Human verifiednot yet checked by a person · I checked this project — verify it
Samples at a glance
1 country
Age
unknown144
Country
JP144
Body site
primary144
Collected 2017–2020
2017: 4 samples2018: 43 samples2019: 23 samples2020: 74 samples20172020
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 %)this project, 0.3–1 Gbp: 4 samplesall projects, 1–3 Gbp: 124,983 samples (22 %)this project, 1–3 Gbp: 68 samplesall projects, 3–10 Gbp: 253,728 samples (44 %)this project, 3–10 Gbp: 35 samplesall projects, 10–30 Gbp: 72,533 samples (13 %)this project, 10–30 Gbp: 37 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 3.01 Gbp per sample0130Gbp
Sampling design and relatedness

longitudinal — not resolved

48 of 96 people sampled more than once (96 samples; median 2, up to 2 per person). Schedule stated by the source: “Stool collected at admission, at discharge, and on follow-up visits after discharge for some patients” (time origin: diagnosis).

How longitudinal and relatedness information is derived

Community composition
Prevotella 10.3%Nanosynbacter 8.9%Phocaeicola 8.0%Bacteroides 7.7%Megamonas 5.5%CAG-302 3.0%Faecalibacterium 2.5%Romboutsia 2.0%Alistipes 1.7%Gemmiger 1.5%Mitsuokella 1.4%CAG-273 1.4%not assigned to a genus 24.4%other genera 21.7%

Genera, mean relative abundance over 122 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%
country144 100%144
health_condition0 0%
subject_id144 100%144
collection_date144 100%144
health_condition_detail144 100%144
Papers (1)
  • Dysbiosis of gut microbiota in COVID-19 is associated with intestinal DNA phage dynamics of lysogenic and lytic infection. 2025 PMID 39656008 PMC11705802 own_data
Details
Archive description

This research aimed to understand the virus like particles in fecal samples from Japanese patients with HIV or SARS-CoV-2 infection comparing with healthy subjects.

How this project entered the registry

Classified as human gut / stool shotgun DNA metagenome of age unknown by sonnet_x2 with confidence 0.75. Assay shotgun_dna.

  • host run.host_tax_id · “9606”
  • body site run.scientific_name · “human feces metagenome”
Evidence examples (one per field × route)
samplefieldvaluerouteconf.sourcequote
SAMD00808844collection_date2017-10-04R10.90biosample.attribute:collection_date2017-10-04
SAMD00808844countryJPR10.90sample.attr.geo_loc_nameJapan
SAMD00808844health_condition_detailmixed_case_control: healthy individuals vs SARS-CoV-2 infected patientsR40.40paper.abstract19 healthy individuals and 19 patients
SAMD00808844subject_idB-001R10.70sample.name_rule:sample_nameB-001
Sequencing

144 runs over 144 samples · mean 6.09 Gbp per run (median 3.01 Gbp, total 876.68 Gbp; 144 runs with a base count) · layout PAIRED 144 · platform ILLUMINA 144 · models Illumina NovaSeq 6000 (144) · 87% of runs with a Sandpiper profile · first public 2024-08-23 – 2024-08-24

Authors (13)

Ishizaka A first · Tamura A · Koga M · Mizutani T · Yamayoshi S · Iwatsuki-Horimoto K · Yasuhara A · Yamamoto S · Nagai H · Adachi E · Suzuki Y · Kawaoka Y · Yotsuyanagi H last

Help complete this project

2 of the 4 core fields are below 50% coverage: age_category, health_condition. Share metadata

Downloads

PRJDB18646.csv.gz (4.6 KB) · parquet (75.5 KB) — all 144 samples, every field with route and confidence · PRJDB18646_determinations.csv.gz (5.0 KB) — 576 evidence rows

Samples (144 · every field this project has values for · hover a cell for its source)
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