Mucosal expression profiling in patients with inflammatory bowel disease before and after first infliximab treatment
We used microarrays to identify mucosal gene signatures predictive of response to infliximab (IFX) in patients with inflammatory bowel disease (IBD) and to gain more insight into the pathogenesis of IBD.
Provenance — who produced it, who reused it
Linked to 71 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.
- Oncostatin M drives intestinal inflammation and predicts respons... 2017 · 798 cites
- Genetics of circulating inflammatory proteins identifies drivers... 2023 · 724 cites
- Circulating and Tissue-Resident CD4+ T Cells With Reactivity to... 2017 · 339 cites
- IL-1-driven stromal–neutrophil interactions define a subset of p... 2021 · 289 cites
- Intestinal Inflammation Modulates the Epithelial Response to But... 2019 · 147 cites
- A myeloid–stromal niche and gp130 rescue in NOD2-driven Crohn’s... 2021 · 136 cites
- Conserved transcriptomic profile between mouse and human colitis... 2019 · 134 cites
- IL-7 receptor influences anti-TNF responsiveness and T cell gut... 2019 · 132 cites
- Quantification of biological network perturbations for mechanist... 2014 · 104 cites
- Mass cytometry reveals systemic and local immune signatures that... 2019 · 96 cites
- Artificial intelligence guided discovery of a barrier-protective... 2021 · 82 cites
- Intestinal Sulfation Is Essential to Protect Against Colitis and... 2021 · 81 cites
- Identification of Immune-Related Gene Signature and Prediction o... 2022 · 77 cites
58 further papers cite this accession but reuse could not be confirmed.
Deep data QC
metadata only · no data-level QC for this typeStandardized, field-standard QC computed by touching the data — every metric states how it was obtained
No quantitative QC rubric exists for this data type yet, so it is deliberately left unscored — this is an honest "not applicable", not a poor rating.
measured = computed from the data · extrapolated/reported = derived or from the repository · dq-1.0 · provisional — verify independently
Scientific quality
Based on hands-on reproduction of the papers that use this dataset. A reproducible paper that stands on this data is positive evidence; a flagged one is a prompt to look closer — never a verdict on the dataset itself without the evidence.