Single-cell analysis of Crohn’s disease lesions identifies a pathogenic cellular module associated with resistance to anti-TNF therapy
Purpose: IBD diagnosis correlation with failure to achieve corticosteroid-free durable remission upon anti-TNF therapy Results: Enrichment of the GIMATS module (unique cellular signature found in a small cohort of surgically resected iCD ileums by scRNAseq) was also present in early stages of disease, prior to any biological therapy Conclusion: Confirmed the presence of the GIMATS module in bulk expression dataset and revealed that the presence of the module at diagnosis is associated with fa...
Provenance — who produced it, who reused it
Linked to 1 papers in the literature. Roles are inferred factual signals (who deposited the data vs who reused it), with counts — never a judgement about any author.
Deep data QC
83/100 · BStandardized, field-standard QC computed by touching the data — every metric states how it was obtained · evidence: measured
This human RNA-Seq with unavailable details shows perfect quality (100% Q20 and Q30) and mean read length of 50 bp. The ideal metrics are unusual; metadata unavailability prevents verification.
The B grade is a transparent weighted average. Each metric below scored from 0–100% against the published bulk-RNA-seq thresholds, weighted by its importance; nothing is hidden or subjective.
measured = computed from the data · extrapolated/reported = derived or from the repository · dq-1.0