Gut microbiome in allergic individuals, China, intervention
150 fecal samples from China, studied in an intervention design examining gut microbiota in relation to allergy, with the paper's companion analysis linking fecal proline levels to serum IgE and allergic status. machine-written summary
150 samples · 150 runs · CN · Age unknown · 2022 · 6.67 Gbp / sample
Checked this project's papers and archive records yourself? Mark it human-verified.
what each source gave
| ✓ Sequence archive | 300 sample values (collection date, country) |
| ○ Abstract / description | read; no usable statement |
| ✓ Full text | 150 sample values (location site) · PMC9748422 |
| ○ 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 |
No Sandpiper profile for this project's samples yet.
| field | samples | coverage | R1 | R2 | R3 | R4 |
|---|---|---|---|---|---|---|
| age_category | 0 | 0% | ||||
| country | 150 | 100% | 150 | |||
| health_condition | 0 | 0% | ||||
| subject_id | 0 | 0% | ||||
| collection_date | 150 | 100% | 150 | |||
| detailed_location | 150 | 100% | ||||
| location_site | 150 | 100% | 150 |
- Intestinal proline is a potential anti-allergy factor for allergy diagnosis and therapy. 2022 PMID 36532514 PMC9748422 own_data
Archive description
Study the effect of paracasei PC-01 on the intestinal microbiome of allergic people and explore the mechanism of alleviating allergies
How this project entered the registry
Classified as human gut / stool shotgun DNA metagenome of age unknown by sonnet_x2 with confidence 0.70. Assay shotgun_dna.
- host study.title · “gut microbes in people with allergies”
- body site study.description · “intestinal microbiome of allergic people”
Evidence examples (one per field × route)
| sample | field | value | route | conf. | source | quote |
|---|---|---|---|---|---|---|
| SAMN31566496 | collection_date | 2020-09-21 | R1 | 0.90 | biosample.attribute:collection_date | 2020-09-21 |
| SAMN31566496 | country | CN | R1 | 0.90 | sample.attr.geo_loc_name | China |
| SAMN31566496 | location_site | Zhejiang Gongshang University | R3 | 0.70 | paper.fulltext.methods | medical office of Zhejiang Gongshang University |
Sequencing
150 runs over 150 samples · mean 6.63 Gbp per run (median 6.67 Gbp, total 994.82 Gbp; 150 runs with a base count) · layout PAIRED 150 · platform ILLUMINA 150 · models Illumina NovaSeq 6000 (150) · 93% of runs with a Sandpiper profile · first public 2022-11-20
Authors (10)
Ma J first · Wang C · Wang F · Zhang Y · Liu Y · Zhang J · Gao Z · Xie H · Wang Y · Fu L last
Help complete this project
3 of the 4 core fields are below 50% coverage: age_category, health_condition, subject_id. Share metadata
Downloads
PRJNA902178.csv.gz (4.1 KB) · parquet (74.7 KB) — all 150 samples, every field with route and confidence · PRJNA902178_determinations.csv.gz (2.6 KB) — 450 evidence rows