Transcriptome analysis of psoriasis in a large case-control sample: RNA-seq provides insights into disease mechanisms
To increase our understanding of psoriasis, we utilized RNA-seq to assay the transcriptomes of lesional psoriatic and normal skin. We sequenced polyadenylated RNA-derived cDNAs from 92 psoriatic and 82 normal punch biopsies, generating an average of ~38 million single-end 80-bp reads per sample. Comparison of 42 samples* examined by both RNA-seq and microarray [GSE13355] revealed marked differences in sensitivity, with transcripts identified only by RNA-seq having much lower expression than thos...
Provenance — who produced it, who reused it
Linked to 23 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.
- CEMiTool: a Bioconductor package for performing comprehensive mo... 2018 · 338 cites
21 further papers cite this accession but reuse could not be confirmed.
Deep data QC
33/100 · FStandardized, field-standard QC computed by touching the data — every metric states how it was obtained · evidence: measured
The F 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