10x Visium HD spatial transcriptomics of full-thickness colon from medically refractory ulcerative colitis and healthy controls
Download from source ↗Dataset overview
A full-thickness spatial transcriptomics atlas of medically refractory ulcerative colitis identifies niche signatures associated with biologic non-response
Study facts
- Organism
- —
- Platform
- Illumina NovaSeq 6000
- Age group
- —
- Disease groups
- Non-IBD controls, Ulcerative colitis
- Anatomical sites
- —
Data availability
Specific data assets have not been resolved from the source yet — see the source repository below for the full file listing.
Strengths & limitations for reuse
Strengths
- Participant-to-sample mapping is available
- Participant counts are documented
- Sample counts are documented
Limitations
- Not documented: raw reads are advertised
- Not documented: feature/otu tables are advertised
- Not documented: taxonomic tables are advertised
Extraction evidence & provenance
Each extracted field is shown with the source excerpt and location used to resolve it.
Assay
| Field | Value | Evidence |
|---|---|---|
assay.platform |
Illumina NovaSeq 6000 from source |
ENA instrument_model=Illumina NovaSeq 6000 Section |
Cohort
| Field | Value | Evidence |
|---|---|---|
cohort.disease_activity_metadata_available |
True |
Detailed sample-level clinical and demographic characteristics ... (gender, age, height, weight, body mass index [BMI], Mayo score and endoscopic Mayo subscore) Section |
cohort.non_ibd_controls |
3 |
including 3 non-IBD surgical controls Section |
cohort.study_design |
cross_sectional |
Third, the cross-sectional design of spatial transcriptomics precludes direct assessment of the dynamic temporal progression Section |
cohort.total_participants |
6 |
including 3 non-IBD surgical controls ... and 3 severe, treatment-refractory UC tissues Section |
cohort.treatment_exposure_documented |
True |
3 severe, treatment-refractory UC tissues (Mayo score ≥ 10) Section |
cohort.ulcerative_colitis_participants |
3 |
3 severe, treatment-refractory UC tissues (Mayo score ≥ 10) Section |
Data_Assets
| Field | Value | Evidence |
|---|---|---|
data_assets.open_access |
True |
"isOpenAccess": "Y" Section |
data_assets.pipeline_or_tool_versions |
True |
All analyses were performed in Python 3.11 using Scanpy ... v1.10, Squidpy ... v1.4 ... pySCENIC ... v0.12.1 Section |
data_assets.qc_or_negative_controls_reported |
True |
Quality control removed bins with <50 counts or >25% mitochondrial gene fraction Section |
data_assets.sample_metadata |
True |
Detailed sample-level clinical and demographic characteristics for all six specimens ... are provided in Supplementary Table S1 Section |
Specimens
| Field | Value | Evidence |
|---|---|---|
specimens.body_site |
colon |
Human colon tissues were obtained from Zhongshan Hospital of Xiamen University Section |
specimens.inflamed_status_available |
True |
confirmed histologically normal ... and three severe, treatment-refractory UC tissues (Mayo score ≥ 10) Section |
specimens.longitudinal_sampling |
False |
the cross-sectional design of spatial transcriptomics precludes direct assessment of the dynamic temporal progression Section |
specimens.number_of_samples |
6 from source |
ENA sample_count=6 Section |
specimens.participant_to_sample_mapping_available |
True |
Detailed sample-level clinical and demographic characteristics for all six specimens Section |