Identification of transcription factors responsible for dysregulated networks in human osteoarthritis cartilage by global gene expression analysis
Objective:Osteoarthritis (OA) is the most prevalent joint disease. As disease-modifying therapies are not available, novel therapeutic targets need to be discovered and prioritized for their importance in mediating the abnormal phenotype of cells in OA-affected joints. Here, we generated a genome-wide molecular profile of OA to elucidate regulatory mechanisms of OA pathogenesis and to identify possible therapeutic targets using integrative analysis of mRNA-sequencing data obtained from human kne...
Provenance — who produced it, who reused it
Linked to 40 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.
- Classification of four distinct osteoarthritis subtypes with a k... 2020 · 119 cites
- Circ_0136474 and MMP‐13 suppressed cell proliferation by competi... 2019 · 81 cites
38 further papers cite this accession but reuse could not be confirmed.
Deep data QC
63/100 · DStandardized, field-standard QC computed by touching the data — every metric states how it was obtained · evidence: measured
The D 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