GSE310282

RNAseq of colonic epithelial and lamina propria-derived Tregs

Whole-study status Not suitable

Dataset does not meet the current suitability threshold.

Whole-study downloads — these do not apply your sample requirements.

Selected cohort requirements

Samples meeting selected requirements: 0 cases / 0 controls

View matching samples

10 case / 1 control samples elsewhere in the study have incomplete or conflicting evidence; they are not included above

Patient pairs verified in indexed sample metadata: 0

A case/control comparison meeting these requirements is not confirmed.

Counts describe samples, not independent patients. Pair verification uses explicit subject identifiers in indexed sample metadata. Zero verified pairs does not establish that the study is unpaired; reported matched-normal design alone is insufficient.

Summary

Local tissue adaptation by immune cells is of especially high importance in the small and large intestines, the largest mucosal barrier surface in the body. Recent work on tissue resident T cells has focused on CD8+ “tissue resident memory cells” or Trm. However, the human colon also contains different populations of CD4+ T cells, in mice referred to as “intraepithelial lymphocytes” and “lamina propria lymphocytes”. Our results uncover a pattern of compartmentalized tissue adaptation of human colonic CD4+ T cells in the steady state. This pattern is lost during active Inflammatory Bowel Disease, with potential detrimental effects on barrier maintenance and continued inflammation.

Overall design

RNA-seq profiling of sorted Tregs derived from the epithelium and lamina propria of colonic biopsies of patients with Crohn's disease and one control tissue from a patient with colorectal cancer.

Source Evidence

4 sources
Source Contribution Status
GEO

Original dataset metadata, sample metadata, source links, and GEO data availability flags.

Sample records
11 GSM samples
Primary source
recount3

Planned trusted source for processed count availability.

No match found
Expression Atlas

Planned source for curated expression experiment links.

No match found
PubMed

Publication context when PubMed identifiers are already known.

No match found

Metadata Quality Components

Analysis Readiness

Review before analysis
88% DE readiness

Contrast completeness

25/25 pts

Both case and control groups are present in the proposed grouping.

Minimum group size

8/20 pts

A contrast exists, but at least one group is below the minimum sample count.

Processed data availability

20/20 pts

Processed data is marked available in the GEO index.

Sample decision clarity

15/15 pts

All samples are assigned to a case or control group.

Blocking warnings

10/10 pts

No dataset warnings are present.

Metadata normalization

10/10 pts

Metadata quality is high enough to support downstream handoff.

Blockers

  • At least one contrast group is below the minimum sample count.

Next Steps

  • Review blockers and update sample grouping or dataset selection before analysis.

Analysis Preparation Checklist

4/6 ready

Group labels reviewed

Needs review

Siftome proposed case and control labels, but no reviewer confirmation is stored yet.

Open the sample grouping CSV and confirm group labels before analysis.

Minimum sample count met

Blocked

At least one group has fewer than 2 samples.

Choose a larger dataset or merge only scientifically valid groups.

Processed counts available

Ready

Processed data availability is marked true in the GEO index.

Verify that downloaded processed files contain usable count or expression identifiers.

Ambiguous samples handled

Ready

No review-needed or unassigned samples are present in the proposed grouping.

Review the grouping table for biologically meaningful differences that the automated checks may not detect.

Exclusion decisions recorded

Ready

No hard-excluded samples were detected by the current rules.

Record any manual exclusions in the downstream analysis notes.

Source traceability preserved

Ready

The dataset and sample accessions can be traced back to GEO.

Keep GEO accessions with exported metadata.

Bioinformatician Review

Bioinformatician review required

Ask a bioinformatician to review grouping, count availability, exclusions, and design before DE.

Analysis readiness has blockers that must be resolved before DE.

Analysis preparation checklist contains blocked items.

At least one comparison group has fewer than two samples.

Why This Is Ranked Here

Tumor vs normal
Not suitable Dataset does not meet the current suitability threshold.

Applied Review Decisions

No active review decisions affect this ranking.

Derived Classifications

  • Disease context Crohn's disease, colorectal cancer, inflammatory bowel disease Disease context came from Normalization rules.
  • Likely case group Crohn's disease 10 samples
  • Likely control group Healthy control 1 samples

Ranking Facts

Supporting evidence

  • Comparison: Disease/model vs control. Specimen: Tissue. Comparison suitability: 0%.
  • Prioritized assay: bulk RNA-seq is the active assay expectation.
  • Interpreted disease metadata: Colorectal cancer, Crohn's disease, Inflammatory bowel disease.
  • Processed data is available for downstream review.

Cautions

  • Disease/control design without a tumor/normal comparison is outside tumor/normal triage.
  • Overall score capped because comparison suitability is weak for the selected search intent.
  • Comparison suitability score is below the Phase 1 recommended threshold.

Dataset Warnings

No dataset warnings

Normalized Fields

39 fields

Sample Group Preview

11 rows shown
Show Hide
Study totals: Case 10 | Control 1 | Unassigned 0 | Excluded 0 | Ambiguous 0 11 rows shown
Group Role Accession Title Source / characteristics Reason
Crohn's disease Case GSM9293333 CD4CD25Hi012LPL Colon Tissue: Colon; Compartment: Lamina propria; Cell type: Treg (CD25high); Sorted cell_number: 2500; Diagnosis: Crohn's disease Case marker detected.
Crohn's disease Case GSM9293334 CD4CD25hi011IEL Colon Tissue: Colon; Compartment: Epithelium; Cell type: Treg (CD25high); Sorted cell_number: 10; Diagnosis: Crohn's disease Case marker detected.
Crohn's disease Case GSM9293335 CD4CD25hi011LPL Colon Tissue: Colon; Compartment: Lamina propria; Cell type: Treg (CD25high); Sorted cell_number: 332; Diagnosis: Crohn's disease Case marker detected.
Crohn's disease Case GSM9293336 CD4CD25hi012IEL Colon Tissue: Colon; Compartment: Epithelium; Cell type: Treg (CD25high); Sorted cell_number: 2500; Diagnosis: Crohn's disease Case marker detected.
Crohn's disease Case GSM9293337 CD4CD25hi013IEL Colon Tissue: Colon; Compartment: Epithelium; Cell type: Treg (CD25high); Sorted cell_number: 117; Diagnosis: Crohn's disease Case marker detected.
Crohn's disease Case GSM9293338 CD4CD25hi013LPL Colon Tissue: Colon; Compartment: Lamina propria; Cell type: Treg (CD25high); Sorted cell_number: 1548; Diagnosis: Crohn's disease Case marker detected.
Crohn's disease Case GSM9293339 CD4CD25hi014IEL Colon Tissue: Colon; Compartment: Epithelium; Cell type: Treg (CD25high); Sorted cell_number: 495; Diagnosis: Crohn's disease Case marker detected.
Crohn's disease Case GSM9293340 CD4CD25hi014LPL Colon Tissue: Colon; Compartment: Lamina propria; Cell type: Treg (CD25high); Sorted cell_number: 229; Diagnosis: Crohn's disease Case marker detected.
Crohn's disease Case GSM9293341 CD4CD25hi015IEL Colon Tissue: Colon; Compartment: Epithelium; Cell type: Treg (CD25high); Sorted cell_number: 405; Diagnosis: Crohn's disease Case marker detected.
Crohn's disease Case GSM9293342 CD4CD25hi015LPL Colon Tissue: Colon; Compartment: Lamina propria; Cell type: Treg (CD25high); Sorted cell_number: 396; Diagnosis: Crohn's disease Case marker detected.
Healthy control Control GSM9293332 CD4CD25IEL Colon Tissue: Colon; Compartment: Lamina propria; Cell type: Treg (CD25high); Sorted cell_number: 269; Diagnosis: Healthy colon of patient with colorectal cancer Sample-local control marker detected.

Use as Discovery Cohort

External Validation Finder

Carry Siftome's disease, organism, specimen, assay, data type, and accession into a validation project. Uncertain fields remain Unknown.