Gut microbiome variation and drug metabolism potential (USA)
87 shotgun metagenome samples from human and non-human hosts in the USA, used to study how gut microbiome variation affects drug metabolism potential via metagenomic and targeted metabolomic analysis. machine-written summary
72 samples · 87 runs · US · Age unknown · 2023 · 8.29 Gbp / sample
Checked this project's papers and archive records yourself? Mark it human-verified.
what each source gave
| ✓ Sequence archive | 288 sample values (collection date, country, latitude, longitude) |
| – Abstract / description | no abstract or project description |
| – Full text | no open-access full text linked |
| – Supplementary tables | no supplementary tables available (or none open access) |
| – External resources | not covered by the external resources we ingest |
| – User contribution | nothing uploaded yet · share metadata |
| – Human verified | not yet checked by a person · I checked this project — verify it |
Genera, mean relative abundance over 86 profiled gut samples of this project (Sandpiper SingleM profiles, GTDB R232; low-depth and non-metagenome profiles left out).
| field | samples | coverage | R1 | R2 | R3 | R4 |
|---|---|---|---|---|---|---|
| age_category | 0 | 0% | ||||
| country | 72 | 100% | 72 | |||
| health_condition | 0 | 0% | ||||
| subject_id | 0 | 0% | ||||
| collection_date | 72 | 100% | 72 | |||
| latitude | 72 | 100% | 72 | |||
| longitude | 72 | 100% | 72 |
- Linking interpersonal differences in gut microbiota composition and drug biotransformation activity 2026 own_data
Archive description
In this study shotgun metagenomic and targeted metabolomic was used to investigate drug metabolism potential of complex gut communities deriving from human/non human hosts.
How this project entered the registry
Classified as human and non-human (mixed) gut / stool shotgun DNA metagenome of age unknown by sonnet_x2 with confidence 0.60. Assay shotgun_dna.
- host run.scientific_name · “human gut metagenome”
- host run.scientific_name · “mouse gut metagenome”
- body site study.description · “investigate drug metabolism potential of complex gut communities”
Evidence examples (one per field × route)
| sample | field | value | route | conf. | source | quote |
|---|---|---|---|---|---|---|
| SAMEA110463713 | collection_date | 2017 | R1 | 0.90 | biosample.attribute:collection_date | 2017 |
| SAMEA110463713 | country | US | R1 | 0.90 | sample.attr.geographic_location_country_and_or_sea | USA |
| SAMEA110463713 | latitude | 40.0000 | R1 | 0.90 | biosample.attribute:geographic_location_latitude+geographic_location_longitude | 40N 100W |
| SAMEA110463713 | longitude | -100.0000 | R1 | 0.90 | biosample.attribute:geographic_location_latitude+geographic_location_longitude | 40N 100W |
Sequencing
87 runs over 72 samples · mean 8.58 Gbp per run (median 8.29 Gbp, total 746.31 Gbp; 87 runs with a base count) · layout PAIRED 87 · platform ILLUMINA 87 · models Illumina NovaSeq 6000 (87) · 99% of runs with a Sandpiper profile · first public 2023-08-30
Authors (0)
No author record.
Help complete this project
3 of the 4 core fields are below 50% coverage: age_category, health_condition, subject_id. Share metadata
Downloads
PRJEB37062.csv.gz (2.5 KB) · parquet (71.9 KB) — all 72 samples, every field with route and confidence · PRJEB37062_determinations.csv.gz (1.8 KB) — 288 evidence rows