Longitudinal gut metagenomes from Arkhangelsk, Russia residents
350 fecal metagenomic samples from residents of Arkhangelsk, Northwestern Russia, collected longitudinally (two timepoints per participant, 2015-2017 and 2022), comparing microbiome annotation methods with BMI-related microbiota changes as a key variable. machine-written summary
350 samples · 350 runs · RU · Age unknown · 2025 · 6.88 Gbp / sample
Checked this project's papers and archive records yourself? Mark it human-verified.
what each source gave
| ✓ Sequence archive | 2,800 sample values (collection date, country, latitude, location locality, location region, longitude, sex, subject id) |
| ○ Abstract / description | read; no usable statement |
| ✓ Full text | 350 sample values (location site) · PMC12660995 |
| ○ Supplementary tables | files read; no table could be matched to the samples |
| – 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 |
intervention — arms not resolved
design observational_with_procedure
longitudinal
175 of 175 people sampled more than once (350 samples; median 2, up to 2 per person) · follow-up median 6.0 y (max 7.0 y) · median interval between samples 6.0 y (time from collection dates). Schedule stated by the source: “two samples per subject, one in 2015-2017 and another in 2022, ~five-year intervals” (time origin: baseline); stated follow-up 5.0 y.
Each row is one person (36 shown of 175); dots are samples at days since that person's first sample.
No Sandpiper profile for this project's samples yet.
| field | samples | coverage | R1 | R2 | R3 | R4 |
|---|---|---|---|---|---|---|
| age_category | 0 | 0% | ||||
| country | 350 | 100% | 350 | |||
| health_condition | 0 | 0% | ||||
| subject_id | 350 | 100% | 350 | |||
| collection_date | 350 | 100% | 350 | |||
| detailed_location | 350 | 100% | ||||
| latitude | 350 | 100% | 350 | |||
| location_locality | 350 | 100% | 350 | |||
| location_region | 350 | 100% | 350 | |||
| location_site | 350 | 100% | 350 | |||
| longitude | 350 | 100% | 350 | |||
| sex | 350 | 100% | 350 |
- Comparing alignment and de-novo approaches for gut microbiota metagenomic data analysis reveals differences in taxonomic resolution and novel functional insights. 2025 PMID 41309890 PMC12660995 own_data
Archive description
Shotgun metagenomic sequencing of fecal samples collected from the residents of Arkhangelsk, Northwestern Russia</p><p>Paired samples were collected from 175 patients in 2016-2017 and 2022.
How this project entered the registry
Classified as human gut / stool shotgun DNA metagenome of age unknown by sonnet_x2 with confidence 0.68. Assay shotgun_dna.
- host run.host_tax_id · “9606”
- body site study.title · “Fecal Samples from Arkhangelsk”
Evidence examples (one per field × route)
| sample | field | value | route | conf. | source | quote |
|---|---|---|---|---|---|---|
| SAMN47836770 | collection_date | 2017-06-26 | R1 | 0.90 | biosample.attribute:collection_date | 2017-06-26 |
| SAMN47836770 | country | RU | R1 | 0.90 | sample.attr.geo_loc_name | Russia: Arkhangelsk |
| SAMN47836770 | latitude | 64.5425 | R1 | 0.90 | biosample.attribute:lat_lon | 64.542465 N 40.537319 E |
| SAMN47836770 | location_locality | Arkhangelsk | R1 | 0.85 | biosample.attribute:geo_loc_name | Russia: Arkhangelsk |
| SAMN47836770 | location_region | Arkhangelskaya | R1 | 0.60 | biosample.attribute:lat_lon | 64.542465 N 40.537319 E |
| SAMN47836770 | location_site | Know Your Heart (KYH) study | R3 | 0.70 | paper.fulltext.methods | collected in 2015–2017 as part of the Know Your Heart |
| SAMN47836770 | longitude | 40.5373 | R1 | 0.90 | biosample.attribute:lat_lon | 64.542465 N 40.537319 E |
| SAMN47836770 | sex | female | R1 | 0.90 | sample.attr.host_sex | female |
| SAMN47836770 | subject_id | 1000954 | R1 | 0.85 | sample.attr.host_subject_id | 1000954 |
Sequencing
350 runs over 350 samples · mean 7.04 Gbp per run (median 6.88 Gbp, total 2,463.20 Gbp; 350 runs with a base count) · layout PAIRED 350 · platform DNBSEQ 350 · models DNBSEQ-G400 (350) · 0% of runs with a Sandpiper profile · first public 2025-04-09 – 2025-04-13
Authors (11)
Kuzmichenko P first · Fedorov D · Galeeva J · Postoeva A · Krieger E · Kudryavtsev A · Pavlenko A · Vvedensky A · Starikova E · Govorun V · Ilina E last
Help complete this project
2 of the 4 core fields are below 50% coverage: age_category, health_condition. Share metadata
Downloads
PRJNA1247984.csv.gz (12.3 KB) · parquet (86.7 KB) — all 350 samples, every field with route and confidence · PRJNA1247984_determinations.csv.gz (22.3 KB) — 3,150 evidence rows