Corpus 1,280 assessed · 1,181 scored · 646 reproduced ≥75 · 170 flagged ·∅ 74/100
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GSE108823

GEO first seen 2018

Selection of well-tolerated GalNAc-conjugated siRNAs by screening for RNAi-mediated off-target effects in rodent toxicity studies

Organism
Rattus norvegicus
Samples
36
Type
Expression profiling by high...
Submitted
2018-01-05

Small interfering RNAs (siRNAs) conjugated to a trivalent N-acetylgalactosamine (GalNAc) ligand are being evaluated in investigational clinical studies for a variety of indications. The typical development candidate selection process includes evaluation of the most active compounds for toxicity in rats at pharmacologically-exaggerated doses. The subset of GalNAc-siRNAs that show rat hepatotoxicity is not advanced to clinical development. Potential mechanisms of hepatotoxicity include toxicities...

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.

Deposited / produced by
Maja M JanasMark K SchegelCarole E HarbisonVedat O YilmazYongfeng JiangRubina ParmarIvan ZlatevAdam CastorenoHuilei XuSvetlana Shulga-MorskayaKallanthottathil G RajeevMuthiah ManoharanNatalie D KeirsteadMartin A MaierVasant Jadhav

Deep data QC

metadata only · no data-level QC for this type

Standardized, 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.

QC cost 22 s compute

measured = computed from the data · extrapolated/reported = derived or from the repository · dq-1.0 · provisional — verify independently