Botanical extracts vs reconstructed gut microbiota, in vitro
90 samples from an in-vitro bioreactor intervention study testing botanical extracts (e.g., aloe vera gel, dandelion root) on reconstructed human gut microbiota, assessing taxonomic and functional changes and cross-feeding among microbial taxa. machine-written summary
90 samples · 90 runs · Age unknown · 2025 · 28.1 Mbp / sample
Checked this project's papers and archive records yourself? Mark it human-verified.
what each source gave
| ✓ Sequence archive | 89 sample values (intervention) |
| ○ Abstract / description | read; no usable statement |
| ○ Full text | read; no usable statement or table · PMC12307401 |
| ○ 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 resolved
design observational_with_procedure · In-vitro bioreactor exposure to botanical extracts (aloe vera, dandelion root)
Genera, mean relative abundance over 34 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 | 0 | 0% | ||||
| health_condition | 0 | 0% | ||||
| subject_id | 0 | 0% | ||||
| intervention | 89 | 99% | 89 |
- Dissecting the molecular interactions between botanical extracts and the human gut microbiota. 2025 PMID 40740338 PMC12307401 own_data
Archive description
Molecular interactions between botanical extracts and the human gut microbiota
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 study.title · “human gut microbiota”
- body site run.scientific_name · “gut metagenome”
Evidence examples (one per field × route)
| sample | field | value | route | conf. | source | quote |
|---|---|---|---|---|---|---|
| SAMN47816496 | intervention | no_intervention | R1 | 0.70 | sample.name_rule:alias | CTRL |
Sequencing
90 runs over 90 samples · mean 0.18 Gbp per run (median 28.1 Mbp, total 15.89 Gbp; 90 runs with a base count) · layout SINGLE 60, PAIRED 30 · platform ILLUMINA 90 · models NextSeq 2000 (90) · 38% of runs with a Sandpiper profile · first public 2025-07-09
Authors (6)
Mancabelli L first · Tarracchini C · Longhi G · Alessandri G · Ventura M · Turroni F last
Help complete this project
4 of the 4 core fields are below 50% coverage: age_category, country, health_condition, subject_id. Share metadata
Downloads
PRJNA1247491.csv.gz (2.7 KB) · parquet (71.9 KB) — all 90 samples, every field with route and confidence · PRJNA1247491_determinations.csv.gz (1007 B) — 89 evidence rows