Expression data from peripheral blood mononuclear cells in multiple sclerosis patients and controls
Multiple sclerosis (MS) is a neurodegenerative disease with a presumed autoimmune component. Expression profiling in immune cells can therefore be used in order to identify genes and pathways involved in MS pathogenesis. We conducted a genome-wide expression study in peripheral blood mononuclear cells (PBMC) from 12 MS patients and 15 controls in order to identify differentially expressed genes and pathways in MS.
Provenance — who produced it, who reused it
Linked to 25 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.
- Random generalized linear model: a highly accurate and interpret... 2013 · 145 cites
- Autoimmunity and autoinflammation: A systems view on signaling p... 2017 · 79 cites
23 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