GSE36807

Genome-wide analysis of Crohn's disease and ulcerative colitis biopsy samples.

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

28 case / 7 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

Gene expression patterns of Crohn's disease (CD) and ulcerative colitis (UC) colonic specimens were analyzed using whole-genome microarrays. Healthy control samples were included in order to detect gene expression changes associated with CD or UC. CD and UC samples were also compared in order to identify the molecular mechanisms that distinguish both fenotypes of inflammatory bowel disease.

Overall design

Total RNA obtained from intestinal biopsies were analyzed using whole-genome microarrays.

Source Evidence

4 sources
Source Contribution Status
GEO

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

Sample records
35 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

Primary GEO citations and related PubMed articles that mention this dataset.

21 linked publications 21 DOIs

Primary publication

  1. Identification of novel predictor classifiers for inflammatory bowel disease by gene expression profiling. PloS one, 2013

Related publications

  1. Combined Bulk and Single-Cell Transcriptomic Analysis to Reveal the Potential Influences of Intestinal Inflammatory Disease on Multiple Sclerosis. Inflammation, 2025
  2. Identification of useful genes from multiple microarrays for ulcerative colitis diagnosis based on machine learning methods. Scientific reports, 2022
  3. Analysis of the molecular mechanisms of ulcerative colitis and atherosclerosis by microarray data. Scientific reports, 2025
  4. Intercellular adhesion molecule 1 and selectin l play crucial roles in ulcerative colitis. Medicine, 2023
  5. Artemisinin Alleviates Intestinal Inflammation and Metabolic Disturbance in Ulcerative Colitis Rats Induced by DSS. Evidence-based complementary and alternative medicine : eCAM, 2022
  6. Bioinformatics Analysis of Immune Cell Infiltration and Diagnostic Biomarkers between Ankylosing Spondylitis and Inflammatory Bowel Disease. Computational and mathematical methods in medicine, 2023
  7. Integrated Multiomics Elucidates Molecular Mechanisms of Bisphenol A in Exacerbating Crohn's Disease. Mediators of inflammation, 2026
  8. Screening of characteristic genes in ulcerative colitis by integrating gene expression profiles. BMC gastroenterology, 2021
  9. Identification of key genes as diagnostic biomarkers for IBD using bioinformatics and machine learning. Journal of translational medicine, 2025
  10. Analysis of common differential gene expression between rheumatoid arthritis and ulcerative colitis. PloS one, 2026
  11. [Bioinformatic analysis of differentially expressed genes and Chinese medicine prediction for ulcerative colitis]. Zhongguo Zhong yao za zhi = Zhongguo zhongyao zazhi = China journal of Chinese materia medica, 2020
  12. Identification and Experimental Validation of Oxidative Stress-Related Biomarkers in Ulcerative Colitis Using Machine Learning. Journal of inflammation research, 2025
  13. Identification CCL2,CXCR2,S100A9 of the immune-related gene markers and immune infiltration characteristics of inflammatory bowel disease and heart failure via bioinformatics analysis and machine learning. Frontiers in cardiovascular medicine, 2023
  14. Construction of a neural network diagnostic model and investigation of immune infiltration characteristics for Crohn's disease. Frontiers in genetics, 2022
  15. Integrated analysis of multiple microarray studies to establish differential diagnostic models of Crohn's disease and ulcerative colitis based on a metalloproteinase-associated module. Frontiers in immunology, 2022
  16. Comprehensive analysis to identify the influences of SARS-CoV-2 infections to inflammatory bowel disease. Frontiers in immunology, 2023
  17. Machine learning-based solution reveals cuproptosis features in inflammatory bowel disease. Frontiers in immunology, 2023
  18. Multi-omics analysis identified macrophages as key contributors to sex-related differences in ulcerative colitis. Frontiers in immunology, 2025
  19. Advances in Inflammatory Bowel Disease Diagnostics: Machine Learning and Genomic Profiling Reveal Key Biomarkers for Early Detection. Diagnostics (Basel, Switzerland), 2024
  20. Comprehensive analysis of gene expression profiles provides insight into the pathogenesis of Crohn's disease. Molecular medicine reports, 2018
Available

Metadata Quality Components

Analysis Readiness

Ready after review
97% DE readiness

Contrast completeness

25/25 pts

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

Minimum group size

20/20 pts

Each contrast group has at least 2 samples.

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

7/10 pts

Warnings are present, but none are critical blockers.

Metadata normalization

10/10 pts

Metadata quality is high enough to support downstream handoff.

Blockers

No readiness blockers detected.

Next Steps

  • Verify the proposed sample assignments and case-versus-control comparison against the GEO metadata before using them in DESeq2 or another differential-expression tool.
  • Confirm processed count files and sample identifiers match the exported metadata.

Analysis Preparation Checklist

5/6 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

Ready

Both groups meet the minimum of 2 samples.

Confirm whether the cohort is large enough for the intended statistical analysis.

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.

Assay context may require expert handling before DESeq2-style analysis.

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

  • Assay differs from search intent Microarray Search intent expects bulk RNA-seq. Assay came from Normalization rules.
  • Disease context Crohn's disease, inflammatory bowel disease, ulcerative colitis Disease context came from Normalization rules.
  • Likely case group Crohn's disease 28 samples
  • Likely control group Healthy control 7 samples

Intent Interpretation

  • Downgrade or exclusion reason Downgraded assay: microarray cohorts are separated from the RNA-seq intent. Derived from current-intent ranking reasons.

Ranking Facts

Supporting evidence

  • Comparison: Disease/model vs control. Specimen: Biopsy. Comparison suitability: 0%.
  • Interpreted disease metadata: Crohn's disease, Inflammatory bowel disease, Ulcerative colitis.
  • Processed data is available for downstream review.
  • External evidence: PubMed links 21 publications; 21 DOIs available: PMID 24155895, PMID 30015893, PMID 32489050, PMID 34717557, PMID 35497913.
  • Publication context: Identification of novel predictor classifiers for inflammatory bowel disease by gene expression profiling.. PloS one, 2013. PMID 24155895. DOI 10.1371/journal.pone.0076235.
  • Publication context: Comprehensive analysis of gene expression profiles provides insight into the pathogenesis of Crohn's disease.. Molecular medicine reports, 2018. PMID 30015893. DOI 10.3892/mmr.2018.9267.
  • Publication context: [Bioinformatic analysis of differentially expressed genes and Chinese medicine prediction for ulcerative colitis].. Zhongguo Zhong yao za zhi = Zhongguo zhongyao zazhi = China journal of Chinese materia medica, 2020. PMID 32489050. DOI 10.19540/j.cnki.cjcmm.20191030.401.
  • Publication context: 18 additional linked PubMed publications are available.

Cautions

  • Downgraded assay: microarray cohorts are separated from the RNA-seq intent.
  • Disease/control design without a tumor/normal comparison is outside tumor/normal triage.
  • Microarray expression context downgraded below primary bulk RNA-seq for the default tissue ranking.
  • Overall score capped because comparison suitability is weak for the selected search intent.
  • Overall score capped because microarray cohorts should be compared separately from RNA-seq cohorts.
  • Comparison suitability score is below the Phase 1 recommended threshold.

Dataset Warnings

Normalized Fields

161 fields

Sample Group Preview

35 rows shown
Show Hide
Study totals: Case 28 | Control 7 | Unassigned 0 | Excluded 0 | Ambiguous 0 35 rows shown
Group Role Accession Title Source / characteristics Reason
Crohn's disease Case GSM901326 08SE1892_Crohn's Disease Intestinal biopsy Diagnosis: Crohn's Disease; Gender: Male; Smoker: Yes Case marker detected.
Crohn's disease Case GSM901327 08SE1893_Crohn's Disease Intestinal biopsy Diagnosis: Crohn's Disease; Gender: Female; Smoker: No Case marker detected.
Crohn's disease Case GSM901328 08SE1894_Crohn's Disease Intestinal biopsy Diagnosis: Crohn's Disease; Gender: Male; Smoker: No Case marker detected.
Crohn's disease Case GSM901329 08SE1895_Crohn's Disease Intestinal biopsy Diagnosis: Crohn's Disease; Gender: Male; Smoker: No Case marker detected.
Crohn's disease Case GSM901330 08SE1896_Crohn's Disease Intestinal biopsy Diagnosis: Crohn's Disease; Gender: Female; Smoker: No Case marker detected.
Crohn's disease Case GSM901331 08SE1897_Crohn's Disease Intestinal biopsy Diagnosis: Crohn's Disease; Gender: Male; Smoker: Yes Case marker detected.
Crohn's disease Case GSM901332 08SE1898_Crohn's Disease Intestinal biopsy Diagnosis: Crohn's Disease; Gender: Male; Smoker: Yes Case marker detected.
Crohn's disease Case GSM901333 08SE1899_Crohn's Disease Intestinal biopsy Diagnosis: Crohn's Disease; Gender: Male; Smoker: Yes Case marker detected.
Crohn's disease Case GSM901334 08SE1900_Crohn's Disease Intestinal biopsy Diagnosis: Crohn's Disease; Gender: Female; Smoker: No Case marker detected.
Crohn's disease Case GSM901335 08SE1901_Crohn's Disease Intestinal biopsy Diagnosis: Crohn's Disease; Gender: Female; Smoker: No Case marker detected.
Crohn's disease Case GSM901336 08SE1912_Crohn's Disease Intestinal biopsy Diagnosis: Crohn's Disease; Gender: Male; Smoker: No Case marker detected.
Crohn's disease Case GSM901337 08SE1914_Crohn's Disease Intestinal biopsy Diagnosis: Crohn's Disease; Gender: Male; Smoker: No Case marker detected.
Crohn's disease Case GSM901338 08SE1915_Crohn's Disease Intestinal biopsy Diagnosis: Crohn's Disease; Gender: Male; Smoker: No Case marker detected.
Ulcerative colitis Case GSM901339 08SE1878_Ulcerative colitis Intestinal biopsy Diagnosis: Ulcerative colitis; Gender: Female; Smoker: No Case marker detected.
Ulcerative colitis Case GSM901340 08SE1879_Ulcerative colitis Intestinal biopsy Diagnosis: Ulcerative colitis; Gender: Male; Smoker: No Case marker detected.
Ulcerative colitis Case GSM901341 08SE1880_Ulcerative colitis Intestinal biopsy Diagnosis: Ulcerative colitis; Gender: Male; Smoker: Yes Case marker detected.
Ulcerative colitis Case GSM901342 08SE1881_Ulcerative colitis Intestinal biopsy Diagnosis: Ulcerative colitis; Gender: Female; Smoker: No Case marker detected.
Ulcerative colitis Case GSM901343 08SE1882_Ulcerative colitis Intestinal biopsy Diagnosis: Ulcerative colitis; Gender: Female; Smoker: No Case marker detected.
Ulcerative colitis Case GSM901344 08SE1883_Ulcerative colitis Intestinal biopsy Diagnosis: Ulcerative colitis; Gender: Male; Smoker: No Case marker detected.
Ulcerative colitis Case GSM901345 08SE1884_Ulcerative colitis Intestinal biopsy Diagnosis: Ulcerative colitis; Gender: Male; Smoker: No Case marker detected.
Ulcerative colitis Case GSM901346 08SE1885_Ulcerative colitis Intestinal biopsy Diagnosis: Ulcerative colitis; Gender: Male; Smoker: No Case marker detected.
Ulcerative colitis Case GSM901347 08SE1886_Ulcerative colitis Intestinal biopsy Diagnosis: Ulcerative colitis; Gender: Female; Smoker: No Case marker detected.
Ulcerative colitis Case GSM901348 08SE1887_Ulcerative colitis Intestinal biopsy Diagnosis: Ulcerative colitis; Gender: Male; Smoker: No Case marker detected.
Ulcerative colitis Case GSM901349 08SE1888_Ulcerative colitis Intestinal biopsy Diagnosis: Ulcerative colitis; Gender: Male; Smoker: No Case marker detected.
Ulcerative colitis Case GSM901350 08SE1889_Ulcerative colitis Intestinal biopsy Diagnosis: Ulcerative colitis; Gender: Female; Smoker: No Case marker detected.
Ulcerative colitis Case GSM901351 08SE1890_Ulcerative colitis Intestinal biopsy Diagnosis: Ulcerative colitis; Gender: Female; Smoker: No Case marker detected.
Ulcerative colitis Case GSM901352 08SE1891_Ulcerative colitis Intestinal biopsy Diagnosis: Ulcerative colitis; Gender: Female; Smoker: No Case marker detected.
Ulcerative colitis Case GSM901353 08SE1913_Ulcerative colitis Intestinal biopsy Diagnosis: Ulcerative colitis; Gender: Male; Smoker: No Case marker detected.
Healthy control Control GSM901319 08SE1903_Healthy control Intestinal biopsy Diagnosis: Healthy control; Gender: Unknown; Smoker: Unknown Sample-local control marker detected.
Healthy control Control GSM901320 08SE1904_Healthy control Intestinal biopsy Diagnosis: Healthy control; Gender: Unknown; Smoker: Unknown Sample-local control marker detected.
Healthy control Control GSM901321 08SE1905_Healthy control Intestinal biopsy Diagnosis: Healthy control; Gender: Unknown; Smoker: Unknown Sample-local control marker detected.
Healthy control Control GSM901322 08SE1906_Healthy control Intestinal biopsy Diagnosis: Healthy control; Gender: Unknown; Smoker: Unknown Sample-local control marker detected.
Healthy control Control GSM901323 08SE1907_Healthy control Intestinal biopsy Diagnosis: Healthy control; Gender: Unknown; Smoker: Unknown Sample-local control marker detected.
Healthy control Control GSM901324 08SE1910_Healthy control Intestinal biopsy Diagnosis: Healthy control; Gender: Unknown; Smoker: Unknown Sample-local control marker detected.
Healthy control Control GSM901325 08SE1911_Healthy control Intestinal biopsy Diagnosis: Healthy control; Gender: Unknown; Smoker: Unknown 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.