Phage-bacteria networks in colitis, colorectal cancer
Gut metagenome study of 27 samples examining phage-bacteria interaction networks to differentiate ulcerative colitis and colorectal cancer from healthy guts; no further details on population, location, or design given. machine-written summary
27 samples · 27 runs · DE · Age unknown · 2026 · 2.31 Gbp / sample
Checked this project's papers and archive records yourself? Mark it human-verified.
what each source gave
| ✓ Sequence archive | 72 sample values (collection date, country, health condition, health condition detail) |
| – 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 |
| – 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 | 27 | 100% | 27 | |||
| health_condition | 9 | 33% | 9 | |||
| subject_id | 0 | 0% | ||||
| collection_date | 27 | 100% | 27 | |||
| health_condition_detail | 9 | 33% | 9 |
Archive description
Phage bacteria interactions are increasingly recognized as key drivers of gut microbiome changes in IBD and CRC. Using viral tagging, we found expanded and more complex phage host networks in UC and CRC compared to healthy controls. These results suggest condition-specific interactions that may shape gut dysbiosis in inflammatory and neoplastic diseases.
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 run.host_tax_id · “9606”
- body site study.title · “differentiate ulcerative colitis and colorectal cancer from the healthy gut”
Evidence examples (one per field × route)
| sample | field | value | route | conf. | source | quote |
|---|---|---|---|---|---|---|
| SAMN51786424 | collection_date | 2023-08-01 | R1 | 0.85 | biosample.attribute:collection_date | collection_date: 2023-08-01 |
| SAMN51786424 | country | DE | R1 | 0.85 | biosample.attribute:geo_loc_name | geo_loc_name: Germany |
| SAMN51786451 | health_condition | healthy_control | R1 | 0.85 | biosample.attribute:title | title: H_virome |
| SAMN51786451 | health_condition_detail | H_virome | R1 | 0.85 | biosample.attribute:title | title: H_virome |
Sequencing
27 runs over 27 samples · mean 2.36 Gbp per run (median 2.31 Gbp, total 63.65 Gbp; 27 runs with a base count) · layout PAIRED 27 · platform ILLUMINA 27 · models Illumina NovaSeq 6000 (27) · 0% of runs with a Sandpiper profile · first public 2026-01-02 – 2026-01-20
Authors (0)
No author record.
Downloads
PRJNA1333319.csv.gz (1.6 KB) · parquet (70.0 KB) — all 27 samples, every field with route and confidence · PRJNA1333319_determinations.csv.gz (1.2 KB) — 72 evidence rows